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20   \topmargin -21pt \headsep 10pt
21   \textheight 9.0in \textwidth 6.5in
22   \brokenpenalty=10000
23 < \renewcommand{\baselinestretch}{1.2}
23 > %\renewcommand{\baselinestretch}{1.2}
24 > \renewcommand{\baselinestretch}{2}
25   \renewcommand\citemid{\ } % no comma in optional reference note
26 + \AtBeginDelayedFloats{\renewcommand{\baselinestretch}{2}} %doublespace captions
27 + \let\Caption\caption
28 + \renewcommand\caption[1]{%
29 +        \Caption[#1]{}%
30 + }
31  
32 +
33   \begin{document}
34  
35 < \title{Is the Ewald Summation necessary? Pairwise alternatives to the accepted standard for long-range electrostatics}
35 > \title{Is the Ewald summation still necessary? \\
36 > Pairwise alternatives to the accepted standard for
37 > long-range electrostatics in molecular simulations}
38  
39   \author{Christopher J. Fennell and J. Daniel Gezelter\footnote{Corresponding author. \ Electronic mail:
40   gezelter@nd.edu} \\
# Line 36 | Line 45 | Notre Dame, Indiana 46556}
45   \date{\today}
46  
47   \maketitle
48 < \doublespacing
48 > %\doublespacing
49  
41 \nobibliography{}
50   \begin{abstract}
51 < A new method for accumulating electrostatic interactions was derived
52 < from the previous efforts described in \bibentry{Wolf99} and
53 < \bibentry{Zahn02} as a possible replacement for lattice sum methods in
54 < molecular simulations.  Comparisons were performed with this and other
55 < pairwise electrostatic summation techniques against the smooth
56 < particle mesh Ewald (SPME) summation to see how well they reproduce
57 < the energetics and dynamics of a variety of simulation types.  The
58 < newly derived Shifted-Force technique shows a remarkable ability to
59 < reproduce the behavior exhibited in simulations using SPME with an
60 < $\mathscr{O}(N)$ computational cost, equivalent to merely the
61 < real-space portion of the lattice summation.
62 <
51 > We investigate pairwise electrostatic interaction methods and show
52 > that there are viable and computationally efficient $(\mathscr{O}(N))$
53 > alternatives to the Ewald summation for typical modern molecular
54 > simulations.  These methods are extended from the damped and
55 > cutoff-neutralized Coulombic sum originally proposed by
56 > [D. Wolf, P. Keblinski, S.~R. Phillpot, and J. Eggebrecht, {\it J. Chem. Phys.} {\bf 110}, 8255 (1999)] One of these, the damped shifted force method, shows
57 > a remarkable ability to reproduce the energetic and dynamic
58 > characteristics exhibited by simulations employing lattice summation
59 > techniques.  Comparisons were performed with this and other pairwise
60 > methods against the smooth particle mesh Ewald ({\sc spme}) summation
61 > to see how well they reproduce the energetics and dynamics of a
62 > variety of simulation types.
63   \end{abstract}
64  
65   \newpage
# Line 65 | Line 73 | In molecular simulations, proper accumulation of the e
73   \section{Introduction}
74  
75   In molecular simulations, proper accumulation of the electrostatic
76 < interactions is considered one of the most essential and
77 < computationally demanding tasks.  The common molecular mechanics force
78 < fields are founded on representation of the atomic sites centered on
79 < full or partial charges shielded by Lennard-Jones type interactions.
80 < This means that nearly every pair interaction involves an
81 < charge-charge calculation.  Coupled with $r^{-1}$ decay, the monopole
82 < interactions quickly become a burden for molecular systems of all
83 < sizes.  For example, in small systems, the electrostatic pair
84 < interaction may not have decayed appreciably within the box length
85 < leading to an effect excluded from the pair interactions within a unit
86 < box.  In large systems, excessively large cutoffs need to be used to
87 < accurately incorporate their effect, and since the computational cost
80 < increases proportionally with the cutoff sphere, it quickly becomes
81 < very time-consuming to perform these calculations.
76 > interactions is essential and is one of the most
77 > computationally-demanding tasks.  The common molecular mechanics force
78 > fields represent atomic sites with full or partial charges protected
79 > by Lennard-Jones (short range) interactions.  This means that nearly
80 > every pair interaction involves a calculation of charge-charge forces.
81 > Coupled with relatively long-ranged $r^{-1}$ decay, the monopole
82 > interactions quickly become the most expensive part of molecular
83 > simulations.  Historically, the electrostatic pair interaction would
84 > not have decayed appreciably within the typical box lengths that could
85 > be feasibly simulated.  In the larger systems that are more typical of
86 > modern simulations, large cutoffs should be used to incorporate
87 > electrostatics correctly.
88  
89 < There have been many efforts to address this issue of both proper and
90 < practical handling of electrostatic interactions, and these have
91 < resulted in the availability of a variety of
92 < techniques.\cite{Roux99,Sagui99,Tobias01} These are typically
93 < classified as implicit methods (i.e., continuum dielectrics, static
94 < dipolar fields),\cite{Born20,Grossfield00} explicit methods (i.e.,
89 < Ewald summations, interaction shifting or
89 > There have been many efforts to address the proper and practical
90 > handling of electrostatic interactions, and these have resulted in a
91 > variety of techniques.\cite{Roux99,Sagui99,Tobias01} These are
92 > typically classified as implicit methods (i.e., continuum dielectrics,
93 > static dipolar fields),\cite{Born20,Grossfield00} explicit methods
94 > (i.e., Ewald summations, interaction shifting or
95   truncation),\cite{Ewald21,Steinbach94} or a mixture of the two (i.e.,
96   reaction field type methods, fast multipole
97   methods).\cite{Onsager36,Rokhlin85} The explicit or mixed methods are
98 < often preferred because they incorporate dynamic solvent molecules in
99 < the system of interest, but these methods are sometimes difficult to
100 < utilize because of their high computational cost.\cite{Roux99} In
101 < addition to this cost, there has been some question of the inherent
102 < periodicity of the explicit Ewald summation artificially influencing
103 < systems dynamics.\cite{Tobias01}
98 > often preferred because they physically incorporate solvent molecules
99 > in the system of interest, but these methods are sometimes difficult
100 > to utilize because of their high computational cost.\cite{Roux99} In
101 > addition to the computational cost, there have been some questions
102 > regarding possible artifacts caused by the inherent periodicity of the
103 > explicit Ewald summation.\cite{Tobias01}
104  
105 < In this paper, we focus on the common mixed and explicit methods of
106 < reaction filed and smooth particle mesh
107 < Ewald\cite{Onsager36,Essmann99} and a new set of shifted methods
108 < devised by Wolf {\it et al.} which we further extend.\cite{Wolf99}
109 < These new methods for handling electrostatics are quite
110 < computationally efficient, since they involve only a simple
111 < modification to the direct pairwise sum, and they lack the added
112 < periodicity of the Ewald sum. Below, these methods are evaluated using
113 < a variety of model systems and comparison methodologies to establish
114 < their usability in molecular simulations.
105 > In this paper, we focus on a new set of pairwise methods devised by
106 > Wolf {\it et al.},\cite{Wolf99} which we further extend.  These
107 > methods along with a few other mixed methods (i.e. reaction field) are
108 > compared with the smooth particle mesh Ewald
109 > sum,\cite{Onsager36,Essmann99} which is our reference method for
110 > handling long-range electrostatic interactions. The new methods for
111 > handling electrostatics have the potential to scale linearly with
112 > increasing system size since they involve only a simple modification
113 > to the direct pairwise sum.  They also lack the added periodicity of
114 > the Ewald sum, so they can be used for systems which are non-periodic
115 > or which have one- or two-dimensional periodicity.  Below, these
116 > methods are evaluated using a variety of model systems to
117 > establish their usability in molecular simulations.
118  
119   \subsection{The Ewald Sum}
120 < The complete accumulation electrostatic interactions in a system with
120 > The complete accumulation of the electrostatic interactions in a system with
121   periodic boundary conditions (PBC) requires the consideration of the
122 < effect of all charges within a simulation box, as well as those in the
123 < periodic replicas,
122 > effect of all charges within a (cubic) simulation box as well as those
123 > in the periodic replicas,
124   \begin{equation}
125   V_\textrm{elec} = \frac{1}{2} {\sum_{\mathbf{n}}}^\prime \left[ \sum_{i=1}^N\sum_{j=1}^N \phi\left( \mathbf{r}_{ij} + L\mathbf{n},\bm{\Omega}_i,\bm{\Omega}_j\right) \right],
126   \label{eq:PBCSum}
# Line 123 | Line 131 | the cell length, $\bm{\Omega}_{i,j}$ are the Euler ang
131   0$.\cite{deLeeuw80} Within the sum, $N$ is the number of electrostatic
132   particles, $\mathbf{r}_{ij}$ is $\mathbf{r}_j - \mathbf{r}_i$, $L$ is
133   the cell length, $\bm{\Omega}_{i,j}$ are the Euler angles for $i$ and
134 < $j$, and $\phi$ is Poisson's equation ($\phi(\mathbf{r}_{ij}) = q_i
135 < q_j |\mathbf{r}_{ij}|^{-1}$ for charge-charge interactions). In the
136 < case of monopole electrostatics, eq. (\ref{eq:PBCSum}) is
137 < conditionally convergent and is discontinuous for non-neutral systems.
134 > $j$, and $\phi$ is the solution to Poisson's equation
135 > ($\phi(\mathbf{r}_{ij}) = q_i q_j |\mathbf{r}_{ij}|^{-1}$ for
136 > charge-charge interactions). In the case of monopole electrostatics,
137 > eq. (\ref{eq:PBCSum}) is conditionally convergent and is divergent for
138 > non-neutral systems.
139  
140 < This electrostatic summation problem was originally studied by Ewald
140 > The electrostatic summation problem was originally studied by Ewald
141   for the case of an infinite crystal.\cite{Ewald21}. The approach he
142   took was to convert this conditionally convergent sum into two
143   absolutely convergent summations: a short-ranged real-space summation
# Line 139 | Line 148 | V_\textrm{elec} = \frac{1}{2}& \sum_{i=1}^N\sum_{j=1}^
148   \end{split}
149   \label{eq:EwaldSum}
150   \end{equation}
151 < where $\alpha$ is a damping parameter, or separation constant, with
152 < units of \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and equal
151 > where $\alpha$ is the damping or convergence parameter with units of
152 > \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and are equal to
153   $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
154 < constant of the encompassing medium. The final two terms of
154 > constant of the surrounding medium. The final two terms of
155   eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
156   for interacting with a surrounding dielectric.\cite{Allen87} This
157   dipolar term was neglected in early applications in molecular
158   simulations,\cite{Brush66,Woodcock71} until it was introduced by de
159   Leeuw {\it et al.} to address situations where the unit cell has a
160 < dipole moment and this dipole moment gets magnified through
161 < replication of the periodic images.\cite{deLeeuw80,Smith81} If this
162 < term is taken to be zero, the system is using conducting boundary
160 > dipole moment which is magnified through replication of the periodic
161 > images.\cite{deLeeuw80,Smith81} If this term is taken to be zero, the
162 > system is said to be using conducting (or ``tin-foil'') boundary
163   conditions, $\epsilon_{\rm S} = \infty$. Figure
164   \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
165 < time.  Initially, due to the small size of systems, the entire
166 < simulation box was replicated to convergence.  Currently, we balance a
167 < spherical real-space cutoff with the reciprocal sum and consider the
168 < surrounding dielectric.
165 > time.  Initially, due to the small system sizes that could be
166 > simulated feasibly, the entire simulation box was replicated to
167 > convergence.  In more modern simulations, the systems have grown large
168 > enough that a real-space cutoff could potentially give convergent
169 > behavior.  Indeed, it has been observed that with the choice of a
170 > small $\alpha$, the reciprocal-space portion of the Ewald sum can be
171 > rapidly convergent and small relative to the real-space
172 > portion.\cite{Karasawa89,Kolafa92}
173 >
174   \begin{figure}
175   \centering
176   \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
177 < \caption{How the application of the Ewald summation has changed with
178 < the increase in computer power.  Initially, only small numbers of
179 < particles could be studied, and the Ewald sum acted to replicate the
180 < unit cell charge distribution out to convergence.  Now, much larger
181 < systems of charges are investigated with fixed distance cutoffs.  The
168 < calculated structure factor is used to sum out to great distance, and
169 < a surrounding dielectric term is included.}
177 > \caption{The change in the need for the Ewald sum with
178 > increasing computational power.  A:~Initially, only small systems
179 > could be studied, and the Ewald sum replicated the simulation box to
180 > convergence.  B:~Now, radial cutoff methods should be able to reach
181 > convergence for the larger systems of charges that are common today.}
182   \label{fig:ewaldTime}
183   \end{figure}
184  
185 < The Ewald summation in the straight-forward form is an
186 < $\mathscr{O}(N^2)$ algorithm.  The separation constant $(\alpha)$
187 < plays an important role in the computational cost balance between the
188 < direct and reciprocal-space portions of the summation.  The choice of
189 < the magnitude of this value allows one to select whether the
190 < real-space or reciprocal space portion of the summation is an
191 < $\mathscr{O}(N^2)$ calculation (with the other being
192 < $\mathscr{O}(N)$).\cite{Sagui99} With appropriate choice of $\alpha$
193 < and thoughtful algorithm development, this cost can be brought down to
194 < $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route taken to
195 < reduce the cost of the Ewald summation further is to set $\alpha$ such
196 < that the real-space interactions decay rapidly, allowing for a short
197 < spherical cutoff, and then optimize the reciprocal space summation.
198 < These optimizations usually involve the utilization of the fast
187 < Fourier transform (FFT),\cite{Hockney81} leading to the
185 > The original Ewald summation is an $\mathscr{O}(N^2)$ algorithm.  The
186 > convergence parameter $(\alpha)$ plays an important role in balancing
187 > the computational cost between the direct and reciprocal-space
188 > portions of the summation.  The choice of this value allows one to
189 > select whether the real-space or reciprocal space portion of the
190 > summation is an $\mathscr{O}(N^2)$ calculation (with the other being
191 > $\mathscr{O}(N)$).\cite{Sagui99} With the appropriate choice of
192 > $\alpha$ and thoughtful algorithm development, this cost can be
193 > reduced to $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route
194 > taken to reduce the cost of the Ewald summation even further is to set
195 > $\alpha$ such that the real-space interactions decay rapidly, allowing
196 > for a short spherical cutoff. Then the reciprocal space summation is
197 > optimized.  These optimizations usually involve utilization of the
198 > fast Fourier transform (FFT),\cite{Hockney81} leading to the
199   particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
200   methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
201   methods, the cost of the reciprocal-space portion of the Ewald
202 < summation is from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N \log N)$.
202 > summation is reduced from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N
203 > \log N)$.
204  
205 < These developments and optimizations have led the use of the Ewald
206 < summation to become routine in simulations with periodic boundary
207 < conditions. However, in certain systems the intrinsic three
208 < dimensional periodicity can prove to be problematic, such as two
209 < dimensional surfaces and membranes.  The Ewald sum has been
210 < reformulated to handle 2D
211 < systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the new
212 < methods have been found to be computationally
213 < expensive.\cite{Spohr97,Yeh99} Inclusion of a correction term in the
214 < full Ewald summation is a possible direction for enabling the handling
215 < of 2D systems and the inclusion of the optimizations described
204 < previously.\cite{Yeh99}
205 > These developments and optimizations have made the use of the Ewald
206 > summation routine in simulations with periodic boundary
207 > conditions. However, in certain systems, such as vapor-liquid
208 > interfaces and membranes, the intrinsic three-dimensional periodicity
209 > can prove problematic.  The Ewald sum has been reformulated to handle
210 > 2D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the
211 > new methods are computationally expensive.\cite{Spohr97,Yeh99} More
212 > recently, there have been several successful efforts toward reducing
213 > the computational cost of 2D lattice summations, often enabling the
214 > use of the mentioned
215 > optimizations.\cite{Yeh99,Kawata01,Arnold02,deJoannis02,Brodka04}
216  
217   Several studies have recognized that the inherent periodicity in the
218 < Ewald sum can also have an effect on systems that have the same
219 < dimensionality.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
220 < Good examples are solvated proteins kept at high relative
221 < concentration due to the periodicity of the electrostatics.  In these
218 > Ewald sum can also have an effect on three-dimensional
219 > systems.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
220 > Solvated proteins are essentially kept at high concentration due to
221 > the periodicity of the electrostatic summation method.  In these
222   systems, the more compact folded states of a protein can be
223   artificially stabilized by the periodic replicas introduced by the
224 < Ewald summation.\cite{Weber00} Thus, care ought to be taken when
225 < considering the use of the Ewald summation where the intrinsic
226 < periodicity may negatively affect the system dynamics.
224 > Ewald summation.\cite{Weber00} Thus, care must be taken when
225 > considering the use of the Ewald summation where the assumed
226 > periodicity would introduce spurious effects in the system dynamics.
227  
217
228   \subsection{The Wolf and Zahn Methods}
229   In a recent paper by Wolf \textit{et al.}, a procedure was outlined
230   for the accurate accumulation of electrostatic interactions in an
231 < efficient pairwise fashion and lacks the inherent periodicity of the
232 < Ewald summation.\cite{Wolf99} Wolf \textit{et al.} observed that the
233 < electrostatic interaction is effectively short-ranged in condensed
234 < phase systems and that neutralization of the charge contained within
235 < the cutoff radius is crucial for potential stability. They devised a
236 < pairwise summation method that ensures charge neutrality and gives
237 < results similar to those obtained with the Ewald summation.  The
238 < resulting shifted Coulomb potential (Eq. \ref{eq:WolfPot}) includes
231 > efficient pairwise fashion.  This procedure lacks the inherent
232 > periodicity of the Ewald summation.\cite{Wolf99} Wolf \textit{et al.}
233 > observed that the electrostatic interaction is effectively
234 > short-ranged in condensed phase systems and that neutralization of the
235 > charge contained within the cutoff radius is crucial for potential
236 > stability. They devised a pairwise summation method that ensures
237 > charge neutrality and gives results similar to those obtained with the
238 > Ewald summation.  The resulting shifted Coulomb potential includes
239   image-charges subtracted out through placement on the cutoff sphere
240   and a distance-dependent damping function (identical to that seen in
241   the real-space portion of the Ewald sum) to aid convergence
# Line 255 | Line 265 | the potential are not commensurate.  Attempts to use b
265   force expressions for use in simulations involving water.\cite{Zahn02}
266   In their work, they pointed out that the forces and derivative of
267   the potential are not commensurate.  Attempts to use both
268 < Eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
268 > eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
269   to poor energy conservation.  They correctly observed that taking the
270   limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
271   derivatives gives forces for a different potential energy function
272 < than the one shown in Eq. (\ref{eq:WolfPot}).
272 > than the one shown in eq. (\ref{eq:WolfPot}).
273  
274 < Zahn \textit{et al.} proposed a modified form of this ``Wolf summation
275 < method'' as a way to use this technique in Molecular Dynamics
276 < simulations.  Taking the integral of the forces shown in equation
267 < \ref{eq:WolfForces}, they proposed a new damped Coulomb
268 < potential,
274 > Zahn \textit{et al.} introduced a modified form of this summation
275 > method as a way to use the technique in Molecular Dynamics
276 > simulations.  They proposed a new damped Coulomb potential,
277   \begin{equation}
278 < V_{\textrm{Zahn}}(r_{ij}) = q_iq_j\left\{\frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}}-\left[\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right]\left(r_{ij}-R_\mathrm{c}\right)\right\}.
278 > V_{\textrm{Zahn}}(r_{ij}) = q_iq_j\left\{\frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}}-\left[\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right]\left(r_{ij}-R_\mathrm{c}\right)\right\},
279   \label{eq:ZahnPot}
280   \end{equation}
281 < They showed that this potential does fairly well at capturing the
281 > and showed that this potential does fairly well at capturing the
282   structural and dynamic properties of water compared the same
283   properties obtained using the Ewald sum.
284  
# Line 301 | Line 309 | shifted potential,
309   \textit{et al.}  and Zahn \textit{et al.} by considering the standard
310   shifted potential,
311   \begin{equation}
312 < v_\textrm{SP}(r) =      \begin{cases}
312 > V_\textrm{SP}(r) =      \begin{cases}
313   v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
314   R_\textrm{c}  
315   \end{cases},
# Line 309 | Line 317 | and shifted force,
317   \end{equation}
318   and shifted force,
319   \begin{equation}
320 < v_\textrm{SF}(r) =      \begin{cases}
320 > V_\textrm{SF}(r) =      \begin{cases}
321   v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
322   &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
323                                                  \end{cases},
# Line 325 | Line 333 | of the unshifted potential itself (when inside the cut
333   The forces associated with the shifted potential are simply the forces
334   of the unshifted potential itself (when inside the cutoff sphere),
335   \begin{equation}
336 < f_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
336 > F_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
337   \end{equation}
338   and are zero outside.  Inside the cutoff sphere, the forces associated
339   with the shifted force form can be written,
340   \begin{equation}
341 < f_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
341 > F_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
342   v(r)}{dr} \right)_{r=R_\textrm{c}}.
343   \end{equation}
344  
345 < If the potential ($v(r)$) is taken to be the normal Coulomb potential,
345 > If the potential, $v(r)$, is taken to be the normal Coulomb potential,
346   \begin{equation}
347   v(r) = \frac{q_i q_j}{r},
348   \label{eq:Coulomb}
# Line 342 | Line 350 | al.}'s undamped prescription:
350   then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
351   al.}'s undamped prescription:
352   \begin{equation}
353 < v_\textrm{SP}(r) =
353 > V_\textrm{SP}(r) =
354   q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
355   r\leqslant R_\textrm{c},
356   \label{eq:SPPot}
357   \end{equation}
358   with associated forces,
359   \begin{equation}
360 < f_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
360 > F_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
361   \label{eq:SPForces}
362   \end{equation}
363   These forces are identical to the forces of the standard Coulomb
# Line 364 | Line 372 | will give,
372   The shifted force ({\sc sf}) form using the normal Coulomb potential
373   will give,
374   \begin{equation}
375 < v_\textrm{SF}(r) = q_iq_j\left[\frac{1}{r}-\frac{1}{R_\textrm{c}}+\left(\frac{1}{R_\textrm{c}^2}\right)(r-R_\textrm{c})\right] \quad r\leqslant R_\textrm{c}.
375 > V_\textrm{SF}(r) = q_iq_j\left[\frac{1}{r}-\frac{1}{R_\textrm{c}}+\left(\frac{1}{R_\textrm{c}^2}\right)(r-R_\textrm{c})\right] \quad r\leqslant R_\textrm{c}.
376   \label{eq:SFPot}
377   \end{equation}
378   with associated forces,
379   \begin{equation}
380 < f_\textrm{SF}(r) =  q_iq_j\left(\frac{1}{r^2}-\frac{1}{R_\textrm{c}^2}\right) \quad r\leqslant R_\textrm{c}.
380 > F_\textrm{SF}(r) =  q_iq_j\left(\frac{1}{r^2}-\frac{1}{R_\textrm{c}^2}\right) \quad r\leqslant R_\textrm{c}.
381   \label{eq:SFForces}
382   \end{equation}
383   This formulation has the benefits that there are no discontinuities at
384 < the cutoff distance, while the neutralizing image charges are present
385 < in both the energy and force expressions.  It would be simple to add
386 < the self-neutralizing term back when computing the total energy of the
384 > the cutoff radius, while the neutralizing image charges are present in
385 > both the energy and force expressions.  It would be simple to add the
386 > self-neutralizing term back when computing the total energy of the
387   system, thereby maintaining the agreement with the Madelung energies.
388   A side effect of this treatment is the alteration in the shape of the
389   potential that comes from the derivative term.  Thus, a degree of
# Line 383 | Line 391 | Wolf \textit{et al.} originally discussed the energeti
391   to gain functionality in dynamics simulations.
392  
393   Wolf \textit{et al.} originally discussed the energetics of the
394 < shifted Coulomb potential (Eq. \ref{eq:SPPot}), and they found that
395 < it was still insufficient for accurate determination of the energy
396 < with reasonable cutoff distances.  The calculated Madelung energies
397 < fluctuate around the expected value with increasing cutoff radius, but
398 < the oscillations converge toward the correct value.\cite{Wolf99} A
394 > shifted Coulomb potential (Eq. \ref{eq:SPPot}) and found that it was
395 > insufficient for accurate determination of the energy with reasonable
396 > cutoff distances.  The calculated Madelung energies fluctuated around
397 > the expected value as the cutoff radius was increased, but the
398 > oscillations converged toward the correct value.\cite{Wolf99} A
399   damping function was incorporated to accelerate the convergence; and
400 < though alternative functional forms could be
400 > though alternative forms for the damping function could be
401   used,\cite{Jones56,Heyes81} the complimentary error function was
402   chosen to mirror the effective screening used in the Ewald summation.
403   Incorporating this error function damping into the simple Coulomb
# Line 398 | Line 406 | v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
406   v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
407   \label{eq:dampCoulomb}
408   \end{equation}
409 < the shifted potential (Eq. (\ref{eq:SPPot})) can be reacquired using
402 < eq. (\ref{eq:shiftingForm}),
409 > the shifted potential (eq. (\ref{eq:SPPot})) becomes
410   \begin{equation}
411 < v_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r}-\frac{\textrm{erfc}\left(\alpha R_\textrm{c}\right)}{R_\textrm{c}}\right) \quad r\leqslant R_\textrm{c},
411 > V_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r}-\frac{\textrm{erfc}\left(\alpha R_\textrm{c}\right)}{R_\textrm{c}}\right) \quad r\leqslant R_\textrm{c},
412   \label{eq:DSPPot}
413   \end{equation}
414   with associated forces,
415   \begin{equation}
416 < f_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \quad r\leqslant R_\textrm{c}.
416 > F_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \quad r\leqslant R_\textrm{c}.
417   \label{eq:DSPForces}
418   \end{equation}
419 < Again, this damped shifted potential suffers from a discontinuity and
420 < a lack of the image charges in the forces.  To remedy these concerns,
421 < one may derive a {\sc sf} variant by including  the derivative
422 < term in eq. (\ref{eq:shiftingForm}),
419 > Again, this damped shifted potential suffers from a
420 > force-discontinuity at the cutoff radius, and the image charges play
421 > no role in the forces.  To remedy these concerns, one may derive a
422 > {\sc sf} variant by including the derivative term in
423 > eq. (\ref{eq:shiftingForm}),
424   \begin{equation}
425   \begin{split}
426 < v_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\frac{\mathrm{erfc}\left(\alpha r\right)}{r}-\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}} \\ &\left.+\left(\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right)\left(r-R_\mathrm{c}\right)\ \right] \quad r\leqslant R_\textrm{c}.
426 > V_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\frac{\mathrm{erfc}\left(\alpha r\right)}{r}-\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}} \\ &\left.+\left(\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right)\left(r-R_\mathrm{c}\right)\ \right] \quad r\leqslant R_\textrm{c}.
427   \label{eq:DSFPot}
428   \end{split}
429   \end{equation}
430   The derivative of the above potential will lead to the following forces,
431   \begin{equation}
432   \begin{split}
433 < f_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \\ &\left.-\left(\frac{\textrm{erfc}\left(\alpha R_{\textrm{c}}\right)}{R_{\textrm{c}}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2R_{\textrm{c}}^2\right)}}{R_{\textrm{c}}}\right)\right] \quad r\leqslant R_\textrm{c}.
433 > F_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \\ &\left.-\left(\frac{\textrm{erfc}\left(\alpha R_{\textrm{c}}\right)}{R_{\textrm{c}}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2R_{\textrm{c}}^2\right)}}{R_{\textrm{c}}}\right)\right] \quad r\leqslant R_\textrm{c}.
434   \label{eq:DSFForces}
435   \end{split}
436   \end{equation}
437 < If the damping parameter $(\alpha)$ is chosen to be zero, the undamped
438 < case, eqs. (\ref{eq:SPPot}-\ref{eq:SFForces}) are correctly recovered
439 < from eqs. (\ref{eq:DSPPot}-\ref{eq:DSFForces}).
437 > If the damping parameter $(\alpha)$ is set to zero, the undamped case,
438 > eqs. (\ref{eq:SPPot} through \ref{eq:SFForces}) are correctly
439 > recovered from eqs. (\ref{eq:DSPPot} through \ref{eq:DSFForces}).
440  
441   This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
442   derived by Zahn \textit{et al.}; however, there are two important
# Line 440 | Line 448 | would be expected to have sudden jumps as particle dis
448   portion is different.  The missing $v_\textrm{c}$ term would not
449   affect molecular dynamics simulations (although the computed energy
450   would be expected to have sudden jumps as particle distances crossed
451 < $R_c$).  The sign problem would be a potential source of errors,
452 < however.  In fact, it introduces a discontinuity in the forces at the
453 < cutoff, because the force function is shifted in the wrong direction
454 < and doesn't cross zero at $R_\textrm{c}$.
451 > $R_c$).  The sign problem is a potential source of errors, however.
452 > In fact, it introduces a discontinuity in the forces at the cutoff,
453 > because the force function is shifted in the wrong direction and
454 > doesn't cross zero at $R_\textrm{c}$.
455  
456   Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
457 < electrostatic summation method that is continuous in both the
458 < potential and forces and which incorporates the damping function
459 < proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of this
460 < paper, we will evaluate exactly how good these methods ({\sc sp}, {\sc
461 < sf}, damping) are at reproducing the correct electrostatic summation
462 < performed by the Ewald sum.
457 > electrostatic summation method in which the potential and forces are
458 > continuous at the cutoff radius and which incorporates the damping
459 > function proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of
460 > this paper, we will evaluate exactly how good these methods ({\sc sp},
461 > {\sc sf}, damping) are at reproducing the correct electrostatic
462 > summation performed by the Ewald sum.
463  
464   \subsection{Other alternatives}
465 < In addition to the methods described above, we will consider some
466 < other techniques that commonly get used in molecular simulations.  The
465 > In addition to the methods described above, we considered some other
466 > techniques that are commonly used in molecular simulations.  The
467   simplest of these is group-based cutoffs.  Though of little use for
468 < non-neutral molecules, collecting atoms into neutral groups takes
468 > charged molecules, collecting atoms into neutral groups takes
469   advantage of the observation that the electrostatic interactions decay
470   faster than those for monopolar pairs.\cite{Steinbach94} When
471 < considering these molecules as groups, an orientational aspect is
472 < introduced to the interactions.  Consequently, as these molecular
473 < particles move through $R_\textrm{c}$, the energy will drift upward
474 < due to the anisotropy of the net molecular dipole
475 < interactions.\cite{Rahman71} To maintain good energy conservation,
476 < both the potential and derivative need to be smoothly switched to zero
477 < at $R_\textrm{c}$.\cite{Adams79} This is accomplished using a
478 < switching function,
479 < \begin{equation}
480 < S(r) = \begin{cases} 1 &\quad r\leqslant r_\textrm{sw} \\
473 < \frac{(R_\textrm{c}+2r-3r_\textrm{sw})(R_\textrm{c}-r)^2}{(R_\textrm{c}-r_\textrm{sw})^3} &\quad r_\textrm{sw}<r\leqslant R_\textrm{c} \\
474 < 0 &\quad r>R_\textrm{c}
475 < \end{cases},
476 < \end{equation}
477 < where the above form is for a cubic function.  If a smooth second
478 < derivative is desired, a fifth (or higher) order polynomial can be
479 < used.\cite{Andrea83}
471 > considering these molecules as neutral groups, the relative
472 > orientations of the molecules control the strength of the interactions
473 > at the cutoff radius.  Consequently, as these molecular particles move
474 > through $R_\textrm{c}$, the energy will drift upward due to the
475 > anisotropy of the net molecular dipole interactions.\cite{Rahman71} To
476 > maintain good energy conservation, both the potential and derivative
477 > need to be smoothly switched to zero at $R_\textrm{c}$.\cite{Adams79}
478 > This is accomplished using a standard switching function.  If a smooth
479 > second derivative is desired, a fifth (or higher) order polynomial can
480 > be used.\cite{Andrea83}
481  
482   Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
483 < and to incorporate their effect, a method like Reaction Field ({\sc
484 < rf}) can be used.  The original theory for {\sc rf} was originally
485 < developed by Onsager,\cite{Onsager36} and it was applied in
486 < simulations for the study of water by Barker and Watts.\cite{Barker73}
487 < In application, it is simply an extension of the group-based cutoff
488 < method where the net dipole within the cutoff sphere polarizes an
489 < external dielectric, which reacts back on the central dipole.  The
490 < same switching function considerations for group-based cutoffs need to
491 < made for {\sc rf}, with the additional pre-specification of a
492 < dielectric constant.
483 > and to incorporate the effects of the surroundings, a method like
484 > Reaction Field ({\sc rf}) can be used.  The original theory for {\sc
485 > rf} was originally developed by Onsager,\cite{Onsager36} and it was
486 > applied in simulations for the study of water by Barker and
487 > Watts.\cite{Barker73} In modern simulation codes, {\sc rf} is simply
488 > an extension of the group-based cutoff method where the net dipole
489 > within the cutoff sphere polarizes an external dielectric, which
490 > reacts back on the central dipole.  The same switching function
491 > considerations for group-based cutoffs need to made for {\sc rf}, with
492 > the additional pre-specification of a dielectric constant.
493  
494   \section{Methods}
495  
# Line 498 | Line 499 | particle sites, but they use these summations in diffe
499   techniques utilize pairwise summations of interactions between
500   particle sites, but they use these summations in different ways.
501  
502 < In MC, the potential energy difference between two subsequent
503 < configurations dictates the progression of MC sampling.  Going back to
504 < the origins of this method, the acceptance criterion for the canonical
505 < ensemble laid out by Metropolis \textit{et al.} states that a
506 < subsequent configuration is accepted if $\Delta E < 0$ or if $\xi <
507 < \exp(-\Delta E/kT)$, where $\xi$ is a random number between 0 and
508 < 1.\cite{Metropolis53} Maintaining the correct $\Delta E$ when using an
509 < alternate method for handling the long-range electrostatics will
510 < ensure proper sampling from the ensemble.
502 > In MC, the potential energy difference between configurations dictates
503 > the progression of MC sampling.  Going back to the origins of this
504 > method, the acceptance criterion for the canonical ensemble laid out
505 > by Metropolis \textit{et al.} states that a subsequent configuration
506 > is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta E/kT)$, where
507 > $\xi$ is a random number between 0 and 1.\cite{Metropolis53}
508 > Maintaining the correct $\Delta E$ when using an alternate method for
509 > handling the long-range electrostatics will ensure proper sampling
510 > from the ensemble.
511  
512   In MD, the derivative of the potential governs how the system will
513   progress in time.  Consequently, the force and torque vectors on each
# Line 519 | Line 520 | vectors will diverge from each other more rapidly.
520   vectors will diverge from each other more rapidly.
521  
522   \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
523 +
524   The pairwise summation techniques (outlined in section
525   \ref{sec:ESMethods}) were evaluated for use in MC simulations by
526   studying the energy differences between conformations.  We took the
527 < SPME-computed energy difference between two conformations to be the
527 > {\sc spme}-computed energy difference between two conformations to be the
528   correct behavior. An ideal performance by an alternative method would
529 < reproduce these energy differences exactly.  Since none of the methods
530 < provide exact energy differences, we used linear least squares
531 < regressions of the $\Delta E$ values between configurations using SPME
532 < against $\Delta E$ values using tested methods provides a quantitative
533 < comparison of this agreement.  Unitary results for both the
534 < correlation and correlation coefficient for these regressions indicate
535 < equivalent energetic results between the method under consideration
536 < and electrostatics handled using SPME.  Sample correlation plots for
537 < two alternate methods are shown in Fig. \ref{fig:linearFit}.
529 > reproduce these energy differences exactly (even if the absolute
530 > energies calculated by the methods are different).  Since none of the
531 > methods provide exact energy differences, we used linear least squares
532 > regressions of energy gap data to evaluate how closely the methods
533 > mimicked the Ewald energy gaps.  Unitary results for both the
534 > correlation (slope) and correlation coefficient for these regressions
535 > indicate perfect agreement between the alternative method and {\sc spme}.
536 > Sample correlation plots for two alternate methods are shown in
537 > Fig. \ref{fig:linearFit}.
538  
539   \begin{figure}
540   \centering
541   \includegraphics[width = \linewidth]{./dualLinear.pdf}
542 < \caption{Example least squares regressions of the configuration energy differences for SPC/E water systems. The upper plot shows a data set with a poor correlation coefficient ($R^2$), while the lower plot shows a data set with a good correlation coefficient.}
543 < \label{fig:linearFit}
542 > \caption{Example least squares regressions of the configuration energy
543 > differences for SPC/E water systems. The upper plot shows a data set
544 > with a poor correlation coefficient ($R^2$), while the lower plot
545 > shows a data set with a good correlation coefficient.}
546 > \label{fig:linearFit}
547   \end{figure}
548  
549 < Each system type (detailed in section \ref{sec:RepSims}) was
550 < represented using 500 independent configurations.  Additionally, we
551 < used seven different system types, so each of the alternate
552 < (non-Ewald) electrostatic summation methods was evaluated using
553 < 873,250 configurational energy differences.
549 > Each of the seven system types (detailed in section \ref{sec:RepSims})
550 > were represented using 500 independent configurations.  Thus, each of
551 > the alternative (non-Ewald) electrostatic summation methods was
552 > evaluated using an accumulated 873,250 configurational energy
553 > differences.
554  
555   Results and discussion for the individual analysis of each of the
556 < system types appear in the supporting information, while the
557 < cumulative results over all the investigated systems appears below in
558 < section \ref{sec:EnergyResults}.
556 > system types appear in the supporting information,\cite{EPAPSdeposit}
557 > while the cumulative results over all the investigated systems appears
558 > below in section \ref{sec:EnergyResults}.
559  
560   \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
561   We evaluated the pairwise methods (outlined in section
562   \ref{sec:ESMethods}) for use in MD simulations by
563   comparing the force and torque vectors with those obtained using the
564 < reference Ewald summation (SPME).  Both the magnitude and the
564 > reference Ewald summation ({\sc spme}).  Both the magnitude and the
565   direction of these vectors on each of the bodies in the system were
566   analyzed.  For the magnitude of these vectors, linear least squares
567   regression analyses were performed as described previously for
# Line 571 | Line 576 | investigated through measurement of the angle ($\theta
576  
577   The {\it directionality} of the force and torque vectors was
578   investigated through measurement of the angle ($\theta$) formed
579 < between those computed from the particular method and those from SPME,
579 > between those computed from the particular method and those from {\sc spme},
580   \begin{equation}
581 < \theta_f = \cos^{-1} \left(\hat{f}_\textrm{SPME} \cdot \hat{f}_\textrm{Method}\right),
581 > \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
582   \end{equation}
583 < where $\hat{f}_\textrm{M}$ is the unit vector pointing along the
584 < force vector computed using method $M$.  
585 <
586 < Each of these $\theta$ values was accumulated in a distribution
582 < function, weighted by the area on the unit sphere.  Non-linear
583 < Gaussian fits were used to measure the width of the resulting
584 < distributions.
585 <
586 < \begin{figure}
587 < \centering
588 < \includegraphics[width = \linewidth]{./gaussFit.pdf}
589 < \caption{Sample fit of the angular distribution of the force vectors over all of the studied systems.  Gaussian fits were used to obtain values for the variance in force and torque vectors used in the following figure.}
590 < \label{fig:gaussian}
591 < \end{figure}
592 <
593 < Figure \ref{fig:gaussian} shows an example distribution with applied
594 < non-linear fits.  The solid line is a Gaussian profile, while the
595 < dotted line is a Voigt profile, a convolution of a Gaussian and a
596 < Lorentzian.  Since this distribution is a measure of angular error
583 > where $\hat{F}_\textrm{M}$ is the unit vector pointing along the force
584 > vector computed using method M.  Each of these $\theta$ values was
585 > accumulated in a distribution function and weighted by the area on the
586 > unit sphere.  Since this distribution is a measure of angular error
587   between two different electrostatic summation methods, there is no
588 < {\it a priori} reason for the profile to adhere to any specific shape.
589 < Gaussian fits was used to compare all the tested methods.  The
590 < variance ($\sigma^2$) was extracted from each of these fits and was
591 < used to compare distribution widths.  Values of $\sigma^2$ near zero
592 < indicate vector directions indistinguishable from those calculated
593 < when using the reference method (SPME).
588 > {\it a priori} reason for the profile to adhere to any specific
589 > shape. Thus, gaussian fits were used to measure the width of the
590 > resulting distributions. The variance ($\sigma^2$) was extracted from
591 > each of these fits and was used to compare distribution widths.
592 > Values of $\sigma^2$ near zero indicate vector directions
593 > indistinguishable from those calculated when using the reference
594 > method ({\sc spme}).
595  
596   \subsection{Short-time Dynamics}
597 < Evaluation of the short-time dynamics of charged systems was performed
598 < by considering the 1000 K NaCl crystal system while using a subset of the
599 < best performing pairwise methods.  The NaCl crystal was chosen to
600 < avoid possible complications involving the propagation techniques of
601 < orientational motion in molecular systems.  All systems were started
602 < with the same initial positions and velocities.  Simulations were
603 < performed under the microcanonical ensemble, and velocity
597 >
598 > The effects of the alternative electrostatic summation methods on the
599 > short-time dynamics of charged systems were evaluated by considering a
600 > NaCl crystal at a temperature of 1000 K.  A subset of the best
601 > performing pairwise methods was used in this comparison.  The NaCl
602 > crystal was chosen to avoid possible complications from the treatment
603 > of orientational motion in molecular systems.  All systems were
604 > started with the same initial positions and velocities.  Simulations
605 > were performed under the microcanonical ensemble, and velocity
606   autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
607   of the trajectories,
608   \begin{equation}
609 < C_v(t) = \frac{\langle v_i(0)\cdot v_i(t)\rangle}{\langle v_i(0)\cdot v_i(0)\rangle}.
609 > C_v(t) = \frac{\langle v(0)\cdot v(t)\rangle}{\langle v^2\rangle}.
610   \label{eq:vCorr}
611   \end{equation}
612   Velocity autocorrelation functions require detailed short time data,
# Line 623 | Line 616 | functions was used for comparisons.
616   functions was used for comparisons.
617  
618   \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
619 < Evaluation of the long-time dynamics of charged systems was performed
620 < by considering the NaCl crystal system, again while using a subset of
621 < the best performing pairwise methods.  To enhance the atomic motion,
622 < these crystals were equilibrated at 1000 K, near the experimental
623 < $T_m$ for NaCl.  Simulations were performed under the microcanonical
624 < ensemble, and velocity information was saved every 5 fs over 100 ps
625 < trajectories.  The power spectrum ($I(\omega)$) was obtained via
633 < Fourier transform of the velocity autocorrelation function
634 < \begin{equation}
635 < I(\omega) = \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
619 >
620 > The effects of the same subset of alternative electrostatic methods on
621 > the {\it long-time} dynamics of charged systems were evaluated using
622 > the same model system (NaCl crystals at 1000~K).  The power spectrum
623 > ($I(\omega)$) was obtained via Fourier transform of the velocity
624 > autocorrelation function, \begin{equation} I(\omega) =
625 > \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
626   \label{eq:powerSpec}
627   \end{equation}
628   where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
629   NaCl crystal is composed of two different atom types, the average of
630 < the two resulting power spectra was used for comparisons.
630 > the two resulting power spectra was used for comparisons. Simulations
631 > were performed under the microcanonical ensemble, and velocity
632 > information was saved every 5~fs over 100~ps trajectories.
633  
634   \subsection{Representative Simulations}\label{sec:RepSims}
635 < A variety of common and representative simulations were analyzed to
635 > A variety of representative molecular simulations were analyzed to
636   determine the relative effectiveness of the pairwise summation
637   techniques in reproducing the energetics and dynamics exhibited by
638 < SPME.  The studied systems were as follows:
638 > {\sc spme}.  We wanted to span the space of typical molecular
639 > simulations (i.e. from liquids of neutral molecules to ionic
640 > crystals), so the systems studied were:
641   \begin{enumerate}
642 < \item Liquid Water
643 < \item Crystalline Water (Ice I$_\textrm{c}$)
644 < \item NaCl Crystal
645 < \item NaCl Melt
646 < \item Low Ionic Strength Solution of NaCl in Water
647 < \item High Ionic Strength Solution of NaCl in Water
648 < \item 6 \AA\  Radius Sphere of Argon in Water
642 > \item liquid water (SPC/E),\cite{Berendsen87}
643 > \item crystalline water (Ice I$_\textrm{c}$ crystals of SPC/E),
644 > \item NaCl crystals,
645 > \item NaCl melts,
646 > \item a low ionic strength solution of NaCl in water (0.11 M),
647 > \item a high ionic strength solution of NaCl in water (1.1 M), and
648 > \item a 6 \AA\  radius sphere of Argon in water.
649   \end{enumerate}
650   By utilizing the pairwise techniques (outlined in section
651   \ref{sec:ESMethods}) in systems composed entirely of neutral groups,
652 < charged particles, and mixtures of the two, we can comment on possible
653 < system dependence and/or universal applicability of the techniques.
652 > charged particles, and mixtures of the two, we hope to discern under
653 > which conditions it will be possible to use one of the alternative
654 > summation methodologies instead of the Ewald sum.
655  
656 < Generation of the system configurations was dependent on the system
657 < type.  For the solid and liquid water configurations, configuration
658 < snapshots were taken at regular intervals from higher temperature 1000
659 < SPC/E water molecule trajectories and each equilibrated
660 < individually.\cite{Berendsen87} The solid and liquid NaCl systems
661 < consisted of 500 Na+ and 500 Cl- ions and were selected and
662 < equilibrated in the same fashion as the water systems.  For the low
663 < and high ionic strength NaCl solutions, 4 and 40 ions were first
664 < solvated in a 1000 water molecule boxes respectively.  Ion and water
665 < positions were then randomly swapped, and the resulting configurations
666 < were again equilibrated individually.  Finally, for the Argon/Water
667 < "charge void" systems, the identities of all the SPC/E waters within 6
668 < \AA\ of the center of the equilibrated water configurations were
669 < converted to argon (Fig. \ref{fig:argonSlice}).
656 > For the solid and liquid water configurations, configurations were
657 > taken at regular intervals from high temperature trajectories of 1000
658 > SPC/E water molecules.  Each configuration was equilibrated
659 > independently at a lower temperature (300~K for the liquid, 200~K for
660 > the crystal).  The solid and liquid NaCl systems consisted of 500
661 > $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
662 > these systems were selected and equilibrated in the same manner as the
663 > water systems. In order to introduce measurable fluctuations in the
664 > configuration energy differences, the crystalline simulations were
665 > equilibrated at 1000~K, near the $T_\textrm{m}$ for NaCl. The liquid
666 > NaCl configurations needed to represent a fully disordered array of
667 > point charges, so the high temperature of 7000~K was selected for
668 > equilibration. The ionic solutions were made by solvating 4 (or 40)
669 > ions in a periodic box containing 1000 SPC/E water molecules.  Ion and
670 > water positions were then randomly swapped, and the resulting
671 > configurations were again equilibrated individually.  Finally, for the
672 > Argon / Water ``charge void'' systems, the identities of all the SPC/E
673 > waters within 6 \AA\ of the center of the equilibrated water
674 > configurations were converted to argon.
675  
676 < \begin{figure}
677 < \centering
678 < \includegraphics[width = \linewidth]{./slice.pdf}
679 < \caption{A slice from the center of a water box used in a charge void simulation.  The darkened region represents the boundary sphere within which the water molecules were converted to argon atoms.}
680 < \label{fig:argonSlice}
681 < \end{figure}
676 > These procedures guaranteed us a set of representative configurations
677 > from chemically-relevant systems sampled from appropriate
678 > ensembles. Force field parameters for the ions and Argon were taken
679 > from the force field utilized by {\sc oopse}.\cite{Meineke05}
680  
681 < \subsection{Electrostatic Summation Methods}\label{sec:ESMethods}
682 < Electrostatic summation method comparisons were performed using SPME,
683 < the {\sc sp} and {\sc sf} methods - both with damping
684 < parameters ($\alpha$) of 0.0, 0.1, 0.2, and 0.3 \AA$^{-1}$ (no, weak,
685 < moderate, and strong damping respectively), reaction field with an
686 < infinite dielectric constant, and an unmodified cutoff.  Group-based
687 < cutoffs with a fifth-order polynomial switching function were
688 < necessary for the reaction field simulations and were utilized in the
689 < SP, SF, and pure cutoff methods for comparison to the standard lack of
690 < group-based cutoffs with a hard truncation.  The SPME calculations
691 < were performed using the TINKER implementation of SPME,\cite{Ponder87}
692 < while all other method calculations were performed using the OOPSE
693 < molecular mechanics package.\cite{Meineke05}
681 > \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
682 > We compared the following alternative summation methods with results
683 > from the reference method ({\sc spme}):
684 > \begin{itemize}
685 > \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
686 > and 0.3 \AA$^{-1}$,
687 > \item {\sc sf} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
688 > and 0.3 \AA$^{-1}$,
689 > \item reaction field with an infinite dielectric constant, and
690 > \item an unmodified cutoff.
691 > \end{itemize}
692 > Group-based cutoffs with a fifth-order polynomial switching function
693 > were utilized for the reaction field simulations.  Additionally, we
694 > investigated the use of these cutoffs with the {\sc sp}, {\sc sf}, and pure
695 > cutoff.  The {\sc spme} electrostatics were performed using the {\sc tinker}
696 > implementation of {\sc spme},\cite{Ponder87} while all other calculations
697 > were performed using the {\sc oopse} molecular mechanics
698 > package.\cite{Meineke05} All other portions of the energy calculation
699 > (i.e. Lennard-Jones interactions) were handled in exactly the same
700 > manner across all systems and configurations.
701  
702 < These methods were additionally evaluated with three different cutoff
703 < radii (9, 12, and 15 \AA) to investigate possible cutoff radius
704 < dependence.  It should be noted that the damping parameter chosen in
705 < SPME, or so called ``Ewald Coefficient", has a significant effect on
706 < the energies and forces calculated.  Typical molecular mechanics
707 < packages default this to a value dependent on the cutoff radius and a
708 < tolerance (typically less than $1 \times 10^{-4}$ kcal/mol).  Smaller
709 < tolerances are typically associated with increased accuracy, but this
710 < usually means more time spent calculating the reciprocal-space portion
711 < of the summation.\cite{Perram88,Essmann95} The default TINKER
712 < tolerance of $1 \times 10^{-8}$ kcal/mol was used in all SPME
713 < calculations, resulting in Ewald Coefficients of 0.4200, 0.3119, and
714 < 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\ respectively.
702 > The alternative methods were also evaluated with three different
703 > cutoff radii (9, 12, and 15 \AA).  As noted previously, the
704 > convergence parameter ($\alpha$) plays a role in the balance of the
705 > real-space and reciprocal-space portions of the Ewald calculation.
706 > Typical molecular mechanics packages set this to a value dependent on
707 > the cutoff radius and a tolerance (typically less than $1 \times
708 > 10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
709 > increasing accuracy at the expense of computational time spent on the
710 > reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
711 > The default {\sc tinker} tolerance of $1 \times 10^{-8}$ kcal/mol was used
712 > in all {\sc spme} calculations, resulting in Ewald coefficients of 0.4200,
713 > 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
714 > respectively.
715  
716   \section{Results and Discussion}
717  
# Line 714 | Line 719 | between configurations were compared to the values obt
719   In order to evaluate the performance of the pairwise electrostatic
720   summation methods for Monte Carlo simulations, the energy differences
721   between configurations were compared to the values obtained when using
722 < SPME.  The results for the subsequent regression analysis are shown in
722 > {\sc spme}.  The results for the subsequent regression analysis are shown in
723   figure \ref{fig:delE}.
724  
725   \begin{figure}
726   \centering
727   \includegraphics[width=5.5in]{./delEplot.pdf}
728 < \caption{Statistical analysis of the quality of configurational energy differences for a given electrostatic method compared with the reference Ewald sum.  Results with a value equal to 1 (dashed line) indicate $\Delta E$ values indistinguishable from those obtained using SPME.  Different values of the cutoff radius are indicated with different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ = inverted triangles).}
728 > \caption{Statistical analysis of the quality of configurational energy
729 > differences for a given electrostatic method compared with the
730 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
731 > indicate $\Delta E$ values indistinguishable from those obtained using
732 > {\sc spme}.  Different values of the cutoff radius are indicated with
733 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
734 > inverted triangles).}
735   \label{fig:delE}
736   \end{figure}
737  
738 < In this figure, it is apparent that it is unreasonable to expect
739 < realistic results using an unmodified cutoff.  This is not all that
740 < surprising since this results in large energy fluctuations as atoms or
741 < molecules move in and out of the cutoff radius.\cite{Rahman71,Adams79}
742 < These fluctuations can be alleviated to some degree by using group
743 < based cutoffs with a switching
733 < function.\cite{Adams79,Steinbach94,Leach01} The Group Switch Cutoff
734 < row doesn't show a significant improvement in this plot because the
735 < salt and salt solution systems contain non-neutral groups, see the
736 < accompanying supporting information for a comparison where all groups
737 < are neutral.
738 > The most striking feature of this plot is how well the Shifted Force
739 > ({\sc sf}) and Shifted Potential ({\sc sp}) methods capture the energy
740 > differences.  For the undamped {\sc sf} method, and the
741 > moderately-damped {\sc sp} methods, the results are nearly
742 > indistinguishable from the Ewald results.  The other common methods do
743 > significantly less well.  
744  
745 < Correcting the resulting charged cutoff sphere is one of the purposes
746 < of the damped Coulomb summation proposed by Wolf \textit{et
747 < al.},\cite{Wolf99} and this correction indeed improves the results as
748 < seen in the {\sc sp} rows.  While the undamped case of this
749 < method is a significant improvement over the pure cutoff, it still
750 < doesn't correlate that well with SPME.  Inclusion of potential damping
751 < improves the results, and using an $\alpha$ of 0.2 \AA $^{-1}$ shows
752 < an excellent correlation and quality of fit with the SPME results,
753 < particularly with a cutoff radius greater than 12 \AA .  Use of a
754 < larger damping parameter is more helpful for the shortest cutoff
749 < shown, but it has a detrimental effect on simulations with larger
750 < cutoffs.  In the {\sc sf} sets, increasing damping results in
751 < progressively poorer correlation.  Overall, the undamped case is the
752 < best performing set, as the correlation and quality of fits are
753 < consistently superior regardless of the cutoff distance.  This result
754 < is beneficial in that the undamped case is less computationally
755 < prohibitive do to the lack of complimentary error function calculation
756 < when performing the electrostatic pair interaction.  The reaction
757 < field results illustrates some of that method's limitations, primarily
758 < that it was developed for use in homogenous systems; although it does
759 < provide results that are an improvement over those from an unmodified
760 < cutoff.
745 > The unmodified cutoff method is essentially unusable.  This is not
746 > surprising since hard cutoffs give large energy fluctuations as atoms
747 > or molecules move in and out of the cutoff
748 > radius.\cite{Rahman71,Adams79} These fluctuations can be alleviated to
749 > some degree by using group based cutoffs with a switching
750 > function.\cite{Adams79,Steinbach94,Leach01} However, we do not see
751 > significant improvement using the group-switched cutoff because the
752 > salt and salt solution systems contain non-neutral groups.  Interested
753 > readers can consult the accompanying supporting information for a
754 > comparison where all groups are neutral.\cite{EPAPSdeposit}
755  
756 + For the {\sc sp} method, inclusion of electrostatic damping improves
757 + the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
758 + shows an excellent correlation and quality of fit with the {\sc spme}
759 + results, particularly with a cutoff radius greater than 12
760 + \AA .  Use of a larger damping parameter is more helpful for the
761 + shortest cutoff shown, but it has a detrimental effect on simulations
762 + with larger cutoffs.  
763 +
764 + In the {\sc sf} sets, increasing damping results in progressively {\it
765 + worse} correlation with Ewald.  Overall, the undamped case is the best
766 + performing set, as the correlation and quality of fits are
767 + consistently superior regardless of the cutoff distance.  The undamped
768 + case is also less computationally demanding (because no evaluation of
769 + the complementary error function is required).
770 +
771 + The reaction field results illustrates some of that method's
772 + limitations, primarily that it was developed for use in homogenous
773 + systems; although it does provide results that are an improvement over
774 + those from an unmodified cutoff.
775 +
776   \subsection{Magnitudes of the Force and Torque Vectors}
777  
778   Evaluation of pairwise methods for use in Molecular Dynamics
779   simulations requires consideration of effects on the forces and
780 < torques.  Investigation of the force and torque vector magnitudes
781 < provides a measure of the strength of these values relative to SPME.
782 < Figures \ref{fig:frcMag} and \ref{fig:trqMag} respectively show the
783 < force and torque vector magnitude regression results for the
770 < accumulated analysis over all the system types.
780 > torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
781 > regression results for the force and torque vector magnitudes,
782 > respectively.  The data in these figures was generated from an
783 > accumulation of the statistics from all of the system types.
784  
785   \begin{figure}
786   \centering
787   \includegraphics[width=5.5in]{./frcMagplot.pdf}
788 < \caption{Statistical analysis of the quality of the force vector magnitudes for a given electrostatic method compared with the reference Ewald sum.  Results with a value equal to 1 (dashed line) indicate force magnitude values indistinguishable from those obtained using SPME.  Different values of the cutoff radius are indicated with different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ = inverted triangles).}
788 > \caption{Statistical analysis of the quality of the force vector
789 > magnitudes for a given electrostatic method compared with the
790 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
791 > indicate force magnitude values indistinguishable from those obtained
792 > using {\sc spme}.  Different values of the cutoff radius are indicated with
793 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
794 > inverted triangles).}
795   \label{fig:frcMag}
796   \end{figure}
797  
798 + Again, it is striking how well the Shifted Potential and Shifted Force
799 + methods are doing at reproducing the {\sc spme} forces.  The undamped and
800 + weakly-damped {\sc sf} method gives the best agreement with Ewald.
801 + This is perhaps expected because this method explicitly incorporates a
802 + smooth transition in the forces at the cutoff radius as well as the
803 + neutralizing image charges.
804 +
805   Figure \ref{fig:frcMag}, for the most part, parallels the results seen
806   in the previous $\Delta E$ section.  The unmodified cutoff results are
807   poor, but using group based cutoffs and a switching function provides
808 < a improvement much more significant than what was seen with $\Delta
809 < E$.  Looking at the {\sc sp} sets, the slope and $R^2$
810 < improve with the use of damping to an optimal result of 0.2 \AA
811 < $^{-1}$ for the 12 and 15 \AA\ cutoffs.  Further increases in damping,
808 > an improvement much more significant than what was seen with $\Delta
809 > E$.
810 >
811 > With moderate damping and a large enough cutoff radius, the {\sc sp}
812 > method is generating usable forces.  Further increases in damping,
813   while beneficial for simulations with a cutoff radius of 9 \AA\ , is
814 < detrimental to simulations with larger cutoff radii.  The undamped
815 < {\sc sf} method gives forces in line with those obtained using
816 < SPME, and use of a damping function results in minor improvement.  The
790 < reaction field results are surprisingly good, considering the poor
814 > detrimental to simulations with larger cutoff radii.
815 >
816 > The reaction field results are surprisingly good, considering the poor
817   quality of the fits for the $\Delta E$ results.  There is still a
818 < considerable degree of scatter in the data, but it correlates well in
819 < general.  To be fair, we again note that the reaction field
820 < calculations do not encompass NaCl crystal and melt systems, so these
818 > considerable degree of scatter in the data, but the forces correlate
819 > well with the Ewald forces in general.  We note that the reaction
820 > field calculations do not include the pure NaCl systems, so these
821   results are partly biased towards conditions in which the method
822   performs more favorably.
823  
824   \begin{figure}
825   \centering
826   \includegraphics[width=5.5in]{./trqMagplot.pdf}
827 < \caption{Statistical analysis of the quality of the torque vector magnitudes for a given electrostatic method compared with the reference Ewald sum.  Results with a value equal to 1 (dashed line) indicate torque magnitude values indistinguishable from those obtained using SPME.  Different values of the cutoff radius are indicated with different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ = inverted triangles).}
827 > \caption{Statistical analysis of the quality of the torque vector
828 > magnitudes for a given electrostatic method compared with the
829 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
830 > indicate torque magnitude values indistinguishable from those obtained
831 > using {\sc spme}.  Different values of the cutoff radius are indicated with
832 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
833 > inverted triangles).}
834   \label{fig:trqMag}
835   \end{figure}
836  
837 < To evaluate the torque vector magnitudes, the data set from which
838 < values are drawn is limited to rigid molecules in the systems
839 < (i.e. water molecules).  In spite of this smaller sampling pool, the
808 < torque vector magnitude results in figure \ref{fig:trqMag} are still
809 < similar to those seen for the forces; however, they more clearly show
810 < the improved behavior that comes with increasing the cutoff radius.
811 < Moderate damping is beneficial to the {\sc sp} and helpful
812 < yet possibly unnecessary with the {\sc sf} method, and they also
813 < show that over-damping adversely effects all cutoff radii rather than
814 < showing an improvement for systems with short cutoffs.  The reaction
815 < field method performs well when calculating the torques, better than
816 < the Shifted Force method over this limited data set.
837 > Molecular torques were only available from the systems which contained
838 > rigid molecules (i.e. the systems containing water).  The data in
839 > fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
840  
841 + Torques appear to be much more sensitive to charges at a longer
842 + distance.   The striking feature in comparing the new electrostatic
843 + methods with {\sc spme} is how much the agreement improves with increasing
844 + cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
845 + appears to be reproducing the {\sc spme} torques most accurately.  
846 +
847 + Water molecules are dipolar, and the reaction field method reproduces
848 + the effect of the surrounding polarized medium on each of the
849 + molecular bodies. Therefore it is not surprising that reaction field
850 + performs best of all of the methods on molecular torques.
851 +
852   \subsection{Directionality of the Force and Torque Vectors}
853  
854 < Having force and torque vectors with magnitudes that are well
855 < correlated to SPME is good, but if they are not pointing in the proper
856 < direction the results will be incorrect.  These vector directions were
857 < investigated through measurement of the angle formed between them and
858 < those from SPME.  The results (Fig. \ref{fig:frcTrqAng}) are compared
859 < through the variance ($\sigma^2$) of the Gaussian fits of the angle
860 < error distributions of the combined set over all system types.
854 > It is clearly important that a new electrostatic method can reproduce
855 > the magnitudes of the force and torque vectors obtained via the Ewald
856 > sum. However, the {\it directionality} of these vectors will also be
857 > vital in calculating dynamical quantities accurately.  Force and
858 > torque directionalities were investigated by measuring the angles
859 > formed between these vectors and the same vectors calculated using
860 > {\sc spme}.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
861 > variance ($\sigma^2$) of the Gaussian fits of the angle error
862 > distributions of the combined set over all system types.
863  
864   \begin{figure}
865   \centering
866   \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
867 < \caption{Statistical analysis of the quality of the Gaussian fit of the force and torque vector angular distributions for a given electrostatic method compared with the reference Ewald sum.  Results with a variance ($\sigma^2$) equal to zero (dashed line) indicate force and torque directions indistinguishable from those obtained using SPME.  Different values of the cutoff radius are indicated with different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ = inverted triangles).}
867 > \caption{Statistical analysis of the width of the angular distribution
868 > that the force and torque vectors from a given electrostatic method
869 > make with their counterparts obtained using the reference Ewald sum.
870 > Results with a variance ($\sigma^2$) equal to zero (dashed line)
871 > indicate force and torque directions indistinguishable from those
872 > obtained using {\sc spme}.  Different values of the cutoff radius are
873 > indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
874 > and 15\AA\ = inverted triangles).}
875   \label{fig:frcTrqAng}
876   \end{figure}
877  
878   Both the force and torque $\sigma^2$ results from the analysis of the
879   total accumulated system data are tabulated in figure
880 < \ref{fig:frcTrqAng}.  All of the sets, aside from the over-damped case
881 < show the improvement afforded by choosing a longer simulation cutoff.
882 < Increasing the cutoff from 9 to 12 \AA\ typically results in a halving
883 < of the distribution widths, with a similar improvement going from 12
884 < to 15 \AA .  The undamped {\sc sf}, Group Based Cutoff, and
885 < Reaction Field methods all do equivalently well at capturing the
843 < direction of both the force and torque vectors.  Using damping
844 < improves the angular behavior significantly for the {\sc sp}
845 < and moderately for the {\sc sf} methods.  Increasing the damping
846 < too far is destructive for both methods, particularly to the torque
847 < vectors.  Again it is important to recognize that the force vectors
848 < cover all particles in the systems, while torque vectors are only
849 < available for neutral molecular groups.  Damping appears to have a
850 < more beneficial effect on non-neutral bodies, and this observation is
851 < investigated further in the accompanying supporting information.
880 > \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
881 > sp}) method would be essentially unusable for molecular dynamics
882 > unless the damping function is added.  The Shifted Force ({\sc sf})
883 > method, however, is generating force and torque vectors which are
884 > within a few degrees of the Ewald results even with weak (or no)
885 > damping.
886  
887 + All of the sets (aside from the over-damped case) show the improvement
888 + afforded by choosing a larger cutoff radius.  Increasing the cutoff
889 + from 9 to 12 \AA\ typically results in a halving of the width of the
890 + distribution, with a similar improvement when going from 12 to 15
891 + \AA .
892 +
893 + The undamped {\sc sf}, group-based cutoff, and reaction field methods
894 + all do equivalently well at capturing the direction of both the force
895 + and torque vectors.  Using the electrostatic damping improves the
896 + angular behavior significantly for the {\sc sp} and moderately for the
897 + {\sc sf} methods.  Overdamping is detrimental to both methods.  Again
898 + it is important to recognize that the force vectors cover all
899 + particles in all seven systems, while torque vectors are only
900 + available for neutral molecular groups.  Damping is more beneficial to
901 + charged bodies, and this observation is investigated further in the
902 + accompanying supporting information.\cite{EPAPSdeposit}
903 +
904 + Although not discussed previously, group based cutoffs can be applied
905 + to both the {\sc sp} and {\sc sf} methods.  The group-based cutoffs
906 + will reintroduce small discontinuities at the cutoff radius, but the
907 + effects of these can be minimized by utilizing a switching function.
908 + Though there are no significant benefits or drawbacks observed in
909 + $\Delta E$ and the force and torque magnitudes when doing this, there
910 + is a measurable improvement in the directionality of the forces and
911 + torques. Table \ref{tab:groupAngle} shows the angular variances
912 + obtained using group based cutoffs along with the results seen in
913 + figure \ref{fig:frcTrqAng}.  The {\sc sp} (with an $\alpha$ of 0.2
914 + \AA$^{-1}$ or smaller) shows much narrower angular distributions when
915 + using group-based cutoffs. The {\sc sf} method likewise shows
916 + improvement in the undamped and lightly damped cases.
917 +
918   \begin{table}[htbp]
919 <   \centering
920 <   \caption{Variance ($\sigma^2$) of the force (top set) and torque (bottom set) vector angle difference distributions for the Shifted Potential and Shifted Force methods.  Calculations were performed both with (Y) and without (N) group based cutoffs and a switching function.  The $\alpha$ values have units of \AA$^{-1}$ and the variance values have units of degrees$^2$.}  
919 >   \centering
920 >   \caption{Statistical analysis of the angular
921 >   distributions that the force (upper) and torque (lower) vectors
922 >   from a given electrostatic method make with their counterparts
923 >   obtained using the reference Ewald sum.  Calculations were
924 >   performed both with (Y) and without (N) group based cutoffs and a
925 >   switching function.  The $\alpha$ values have units of \AA$^{-1}$
926 >   and the variance values have units of degrees$^2$.}
927 >
928     \begin{tabular}{@{} ccrrrrrrrr @{}}
929        \\
930        \toprule
# Line 883 | Line 955 | investigated further in the accompanying supporting in
955     \label{tab:groupAngle}
956   \end{table}
957  
958 < Although not discussed previously, group based cutoffs can be applied
959 < to both the {\sc sp} and {\sc sf} methods.  Use off a
960 < switching function corrects for the discontinuities that arise when
961 < atoms of a group exit the cutoff before the group's center of mass.
962 < Though there are no significant benefit or drawbacks observed in
963 < $\Delta E$ and vector magnitude results when doing this, there is a
964 < measurable improvement in the vector angle results.  Table
965 < \ref{tab:groupAngle} shows the angular variance values obtained using
966 < group based cutoffs and a switching function alongside the standard
967 < results seen in figure \ref{fig:frcTrqAng} for comparison purposes.
968 < The {\sc sp} shows much narrower angular distributions for
969 < both the force and torque vectors when using an $\alpha$ of 0.2
970 < \AA$^{-1}$ or less, while {\sc sf} shows improvements in the
971 < undamped and lightly damped cases.  Thus, by calculating the
972 < electrostatic interactions in terms of molecular pairs rather than
973 < atomic pairs, the direction of the force and torque vectors are
974 < determined more accurately.
958 > One additional trend in table \ref{tab:groupAngle} is that the
959 > $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as $\alpha$
960 > increases, something that is more obvious with group-based cutoffs.
961 > The complimentary error function inserted into the potential weakens
962 > the electrostatic interaction as the value of $\alpha$ is increased.
963 > However, at larger values of $\alpha$, it is possible to overdamp the
964 > electrostatic interaction and to remove it completely.  Kast
965 > \textit{et al.}  developed a method for choosing appropriate $\alpha$
966 > values for these types of electrostatic summation methods by fitting
967 > to $g(r)$ data, and their methods indicate optimal values of 0.34,
968 > 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
969 > respectively.\cite{Kast03} These appear to be reasonable choices to
970 > obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
971 > these findings, choices this high would introduce error in the
972 > molecular torques, particularly for the shorter cutoffs.  Based on our
973 > observations, empirical damping up to 0.2 \AA$^{-1}$ is beneficial,
974 > but damping may be unnecessary when using the {\sc sf} method.
975  
904 One additional trend to recognize in table \ref{tab:groupAngle} is
905 that the $\sigma^2$ values for both {\sc sp} and
906 {\sc sf} converge as $\alpha$ increases, something that is easier
907 to see when using group based cutoffs.  Looking back on figures
908 \ref{fig:delE}, \ref{fig:frcMag}, and \ref{fig:trqMag}, show this
909 behavior clearly at large $\alpha$ and cutoff values.  The reason for
910 this is that the complimentary error function inserted into the
911 potential weakens the electrostatic interaction as $\alpha$ increases.
912 Thus, at larger values of $\alpha$, both the summation method types
913 progress toward non-interacting functions, so care is required in
914 choosing large damping functions lest one generate an undesirable loss
915 in the pair interaction.  Kast \textit{et al.}  developed a method for
916 choosing appropriate $\alpha$ values for these types of electrostatic
917 summation methods by fitting to $g(r)$ data, and their methods
918 indicate optimal values of 0.34, 0.25, and 0.16 \AA$^{-1}$ for cutoff
919 values of 9, 12, and 15 \AA\ respectively.\cite{Kast03} These appear
920 to be reasonable choices to obtain proper MC behavior
921 (Fig. \ref{fig:delE}); however, based on these findings, choices this
922 high would introduce error in the molecular torques, particularly for
923 the shorter cutoffs.  Based on the above findings, empirical damping
924 up to 0.2 \AA$^{-1}$ proves to be beneficial, but damping is arguably
925 unnecessary when using the {\sc sf} method.
926
976   \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
977  
978 < In the previous studies using a {\sc sf} variant of the damped
979 < Wolf coulomb potential, the structure and dynamics of water were
980 < investigated rather extensively.\cite{Zahn02,Kast03} Their results
981 < indicated that the damped {\sc sf} method results in properties
982 < very similar to those obtained when using the Ewald summation.
983 < Considering the statistical results shown above, the good performance
984 < of this method is not that surprising.  Rather than consider the same
985 < systems and simply recapitulate their results, we decided to look at
986 < the solid state dynamical behavior obtained using the best performing
987 < summation methods from the above results.
978 > Zahn {\it et al.} investigated the structure and dynamics of water
979 > using eqs. (\ref{eq:ZahnPot}) and
980 > (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
981 > that a method similar (but not identical with) the damped {\sc sf}
982 > method resulted in properties very similar to those obtained when
983 > using the Ewald summation.  The properties they studied (pair
984 > distribution functions, diffusion constants, and velocity and
985 > orientational correlation functions) may not be particularly sensitive
986 > to the long-range and collective behavior that governs the
987 > low-frequency behavior in crystalline systems.  Additionally, the
988 > ionic crystals are the worst case scenario for the pairwise methods
989 > because they lack the reciprocal space contribution contained in the
990 > Ewald summation.  
991  
992 + We are using two separate measures to probe the effects of these
993 + alternative electrostatic methods on the dynamics in crystalline
994 + materials.  For short- and intermediate-time dynamics, we are
995 + computing the velocity autocorrelation function, and for long-time
996 + and large length-scale collective motions, we are looking at the
997 + low-frequency portion of the power spectrum.
998 +
999   \begin{figure}
1000   \centering
1001   \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
1002 < \caption{Velocity auto-correlation functions of NaCl crystals at 1000 K while using SPME, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2). The inset is a magnification of the first trough. The times to first collision are nearly identical, but the differences can be seen in the peaks and troughs, where the undamped to weakly damped methods are stiffer than the moderately damped and SPME methods.}
1002 > \caption{Velocity autocorrelation functions of NaCl crystals at
1003 > 1000 K using {\sc spme}, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
1004 > sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
1005 > the first minimum.  The times to first collision are nearly identical,
1006 > but differences can be seen in the peaks and troughs, where the
1007 > undamped and weakly damped methods are stiffer than the moderately
1008 > damped and {\sc spme} methods.}
1009   \label{fig:vCorrPlot}
1010   \end{figure}
1011  
1012 < The short-time decays through the first collision are nearly identical
1013 < in figure \ref{fig:vCorrPlot}, but the peaks and troughs of the
1014 < functions show how the methods differ.  The undamped {\sc sf} method
1015 < has deeper troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher
1016 < peaks than any of the other methods.  As the damping function is
1017 < increased, these peaks are smoothed out, and approach the SPME
1018 < curve. The damping acts as a distance dependent Gaussian screening of
1019 < the point charges for the pairwise summation methods; thus, the
1020 < collisions are more elastic in the undamped {\sc sf} potential, and the
1021 < stiffness of the potential is diminished as the electrostatic
1022 < interactions are softened by the damping function.  With $\alpha$
1023 < values of 0.2 \AA$^{-1}$, the {\sc sf} and {\sc sp} functions are
1024 < nearly identical and track the SPME features quite well.  This is not
1025 < too surprising in that the differences between the {\sc sf} and {\sc
1026 < sp} potentials are mitigated with increased damping.  However, this
962 < appears to indicate that once damping is utilized, the form of the
963 < potential seems to play a lesser role in the crystal dynamics.
1012 > The short-time decay of the velocity autocorrelation function through
1013 > the first collision are nearly identical in figure
1014 > \ref{fig:vCorrPlot}, but the peaks and troughs of the functions show
1015 > how the methods differ.  The undamped {\sc sf} method has deeper
1016 > troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher peaks than
1017 > any of the other methods.  As the damping parameter ($\alpha$) is
1018 > increased, these peaks are smoothed out, and the {\sc sf} method
1019 > approaches the {\sc spme} results.  With $\alpha$ values of 0.2 \AA$^{-1}$,
1020 > the {\sc sf} and {\sc sp} functions are nearly identical and track the
1021 > {\sc spme} features quite well.  This is not surprising because the {\sc sf}
1022 > and {\sc sp} potentials become nearly identical with increased
1023 > damping.  However, this appears to indicate that once damping is
1024 > utilized, the details of the form of the potential (and forces)
1025 > constructed out of the damped electrostatic interaction are less
1026 > important.
1027  
1028   \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1029  
1030 < The short time dynamics were extended to evaluate how the differences
1031 < between the methods affect the collective long-time motion.  The same
1032 < electrostatic summation methods were used as in the short time
1033 < velocity autocorrelation function evaluation, but the trajectories
1034 < were sampled over a much longer time. The power spectra of the
1035 < resulting velocity autocorrelation functions were calculated and are
1036 < displayed in figure \ref{fig:methodPS}.
1030 > To evaluate how the differences between the methods affect the
1031 > collective long-time motion, we computed power spectra from long-time
1032 > traces of the velocity autocorrelation function. The power spectra for
1033 > the best-performing alternative methods are shown in
1034 > fig. \ref{fig:methodPS}.  Apodization of the correlation functions via
1035 > a cubic switching function between 40 and 50 ps was used to reduce the
1036 > ringing resulting from data truncation.  This procedure had no
1037 > noticeable effect on peak location or magnitude.
1038  
1039   \begin{figure}
1040   \centering
1041   \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1042 < \caption{Power spectra obtained from the velocity auto-correlation functions of NaCl crystals at 1000 K while using SPME, {\sc sf} ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  Apodization of the correlation functions via a cubic switching function between 40 and 50 ps was used to clear up the spectral noise resulting from data truncation, and had no noticeable effect on peak location or magnitude.  The inset shows the frequency region below 100 cm$^{-1}$ to highlight where the spectra begin to differ.}
1042 > \caption{Power spectra obtained from the velocity auto-correlation
1043 > functions of NaCl crystals at 1000 K while using {\sc spme}, {\sc sf}
1044 > ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  The inset
1045 > shows the frequency region below 100 cm$^{-1}$ to highlight where the
1046 > spectra differ.}
1047   \label{fig:methodPS}
1048   \end{figure}
1049  
1050 < While high frequency peaks of the spectra in this figure overlap,
1051 < showing the same general features, the low frequency region shows how
1052 < the summation methods differ.  Considering the low-frequency inset
1053 < (expanded in the upper frame of figure \ref{fig:dampInc}), at
1054 < frequencies below 100 cm$^{-1}$, the correlated motions are
1055 < blue-shifted when using undamped or weakly damped {\sc sf}.  When
1056 < using moderate damping ($\alpha = 0.2$ \AA$^{-1}$) both the {\sc sf}
1057 < and {\sc sp} methods give near identical correlated motion behavior as
1058 < the Ewald method (which has a damping value of 0.3119).  This
1059 < weakening of the electrostatic interaction with increased damping
1060 < explains why the long-ranged correlated motions are at lower
1061 < frequencies for the moderately damped methods than for undamped or
1062 < weakly damped methods.  To see this effect more clearly, we show how
1063 < damping strength alone affects a simple real-space electrostatic
1064 < potential,
1065 < \begin{equation}
1066 < V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r})}{r}\right]S(r),
1067 < \end{equation}
1068 < where $S(r)$ is a switching function that smoothly zeroes the
1069 < potential at the cutoff radius.  Figure \ref{fig:dampInc} shows how
1070 < the low frequency motions are dependent on the damping used in the
1071 < direct electrostatic sum.  As the damping increases, the peaks drop to
1072 < lower frequencies.  Incidentally, use of an $\alpha$ of 0.25
1073 < \AA$^{-1}$ on a simple electrostatic summation results in low
1074 < frequency correlated dynamics equivalent to a simulation using SPME.
1075 < When the coefficient lowers to 0.15 \AA$^{-1}$ and below, these peaks
1076 < shift to higher frequency in exponential fashion.  Though not shown,
1077 < the spectrum for the simple undamped electrostatic potential is
1010 < blue-shifted such that the lowest frequency peak resides near 325
1011 < cm$^{-1}$.  In light of these results, the undamped {\sc sf} method
1012 < producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is quite
1013 < respectable and shows that the shifted force procedure accounts for
1014 < most of the effect afforded through use of the Ewald summation.
1015 < However, it appears as though moderate damping is required for
1016 < accurate reproduction of crystal dynamics.
1050 > While the high frequency regions of the power spectra for the
1051 > alternative methods are quantitatively identical with Ewald spectrum,
1052 > the low frequency region shows how the summation methods differ.
1053 > Considering the low-frequency inset (expanded in the upper frame of
1054 > figure \ref{fig:dampInc}), at frequencies below 100 cm$^{-1}$, the
1055 > correlated motions are blue-shifted when using undamped or weakly
1056 > damped {\sc sf}.  When using moderate damping ($\alpha = 0.2$
1057 > \AA$^{-1}$) both the {\sc sf} and {\sc sp} methods give nearly identical
1058 > correlated motion to the Ewald method (which has a convergence
1059 > parameter of 0.3119 \AA$^{-1}$).  This weakening of the electrostatic
1060 > interaction with increased damping explains why the long-ranged
1061 > correlated motions are at lower frequencies for the moderately damped
1062 > methods than for undamped or weakly damped methods.
1063 >
1064 > To isolate the role of the damping constant, we have computed the
1065 > spectra for a single method ({\sc sf}) with a range of damping
1066 > constants and compared this with the {\sc spme} spectrum.
1067 > Fig. \ref{fig:dampInc} shows more clearly that increasing the
1068 > electrostatic damping red-shifts the lowest frequency phonon modes.
1069 > However, even without any electrostatic damping, the {\sc sf} method
1070 > has at most a 10 cm$^{-1}$ error in the lowest frequency phonon mode.
1071 > Without the {\sc sf} modifications, an undamped (pure cutoff) method
1072 > would predict the lowest frequency peak near 325 cm$^{-1}$.  {\it
1073 > Most} of the collective behavior in the crystal is accurately captured
1074 > using the {\sc sf} method.  Quantitative agreement with Ewald can be
1075 > obtained using moderate damping in addition to the shifting at the
1076 > cutoff distance.
1077 >
1078   \begin{figure}
1079   \centering
1080 < \includegraphics[width = \linewidth]{./comboSquare.pdf}
1081 < \caption{Regions of spectra showing the low-frequency correlated motions for NaCl crystals at 1000 K using various electrostatic summation methods.  The upper plot is a zoomed inset from figure \ref{fig:methodPS}.  As the damping value for the {\sc sf} potential increases, the low-frequency peaks red-shift.  The lower plot is of spectra when using SPME and a simple damped Coulombic sum with damping coefficients ($\alpha$) ranging from 0.15 to 0.3 \AA$^{-1}$.  As $\alpha$ increases, the peaks are red-shifted toward and eventually beyond the values given by SPME.  The larger $\alpha$ values weaken the real-space electrostatics, explaining this shift towards less strongly correlated motions in the crystal.}
1080 > \includegraphics[width = \linewidth]{./increasedDamping.pdf}
1081 > \caption{Effect of damping on the two lowest-frequency phonon modes in
1082 > the NaCl crystal at 1000~K.  The undamped shifted force ({\sc sf})
1083 > method is off by less than 10 cm$^{-1}$, and increasing the
1084 > electrostatic damping to 0.25 \AA$^{-1}$ gives quantitative agreement
1085 > with the power spectrum obtained using the Ewald sum.  Overdamping can
1086 > result in underestimates of frequencies of the long-wavelength
1087 > motions.}
1088   \label{fig:dampInc}
1089   \end{figure}
1090  
1091   \section{Conclusions}
1092  
1093   This investigation of pairwise electrostatic summation techniques
1094 < shows that there are viable and more computationally efficient
1095 < electrostatic summation techniques than the Ewald summation, chiefly
1096 < methods derived from the damped Coulombic sum originally proposed by
1097 < Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular, the
1098 < {\sc sf} method, reformulated above as eq. (\ref{eq:DSFPot}),
1099 < shows a remarkable ability to reproduce the energetic and dynamic
1100 < characteristics exhibited by simulations employing lattice summation
1101 < techniques.  The cumulative energy difference results showed the
1102 < undamped {\sc sf} and moderately damped {\sc sp} methods
1103 < produced results nearly identical to SPME.  Similarly for the dynamic
1104 < features, the undamped or moderately damped {\sc sf} and
1105 < moderately damped {\sc sp} methods produce force and torque
1106 < vector magnitude and directions very similar to the expected values.
1107 < These results translate into long-time dynamic behavior equivalent to
1108 < that produced in simulations using SPME.
1094 > shows that there are viable and computationally efficient alternatives
1095 > to the Ewald summation.  These methods are derived from the damped and
1096 > cutoff-neutralized Coulombic sum originally proposed by Wolf
1097 > \textit{et al.}\cite{Wolf99} In particular, the {\sc sf}
1098 > method, reformulated above as eqs. (\ref{eq:DSFPot}) and
1099 > (\ref{eq:DSFForces}), shows a remarkable ability to reproduce the
1100 > energetic and dynamic characteristics exhibited by simulations
1101 > employing lattice summation techniques.  The cumulative energy
1102 > difference results showed the undamped {\sc sf} and moderately damped
1103 > {\sc sp} methods produced results nearly identical to {\sc spme}.  Similarly
1104 > for the dynamic features, the undamped or moderately damped {\sc sf}
1105 > and moderately damped {\sc sp} methods produce force and torque vector
1106 > magnitude and directions very similar to the expected values.  These
1107 > results translate into long-time dynamic behavior equivalent to that
1108 > produced in simulations using {\sc spme}.
1109  
1110 + As in all purely-pairwise cutoff methods, these methods are expected
1111 + to scale approximately {\it linearly} with system size, and they are
1112 + easily parallelizable.  This should result in substantial reductions
1113 + in the computational cost of performing large simulations.
1114 +
1115   Aside from the computational cost benefit, these techniques have
1116   applicability in situations where the use of the Ewald sum can prove
1117 < problematic.  Primary among them is their use in interfacial systems,
1118 < where the unmodified lattice sum techniques artificially accentuate
1119 < the periodicity of the system in an undesirable manner.  There have
1120 < been alterations to the standard Ewald techniques, via corrections and
1121 < reformulations, to compensate for these systems; but the pairwise
1122 < techniques discussed here require no modifications, making them
1123 < natural tools to tackle these problems.  Additionally, this
1124 < transferability gives them benefits over other pairwise methods, like
1125 < reaction field, because estimations of physical properties (e.g. the
1126 < dielectric constant) are unnecessary.
1117 > problematic.  Of greatest interest is their potential use in
1118 > interfacial systems, where the unmodified lattice sum techniques
1119 > artificially accentuate the periodicity of the system in an
1120 > undesirable manner.  There have been alterations to the standard Ewald
1121 > techniques, via corrections and reformulations, to compensate for
1122 > these systems; but the pairwise techniques discussed here require no
1123 > modifications, making them natural tools to tackle these problems.
1124 > Additionally, this transferability gives them benefits over other
1125 > pairwise methods, like reaction field, because estimations of physical
1126 > properties (e.g. the dielectric constant) are unnecessary.
1127  
1128 < We are not suggesting any flaw with the Ewald sum; in fact, it is the
1129 < standard by which these simple pairwise sums are judged.  However,
1130 < these results do suggest that in the typical simulations performed
1131 < today, the Ewald summation may no longer be required to obtain the
1132 < level of accuracy most researchers have come to expect
1128 > If a researcher is using Monte Carlo simulations of large chemical
1129 > systems containing point charges, most structural features will be
1130 > accurately captured using the undamped {\sc sf} method or the {\sc sp}
1131 > method with an electrostatic damping of 0.2 \AA$^{-1}$.  These methods
1132 > would also be appropriate for molecular dynamics simulations where the
1133 > data of interest is either structural or short-time dynamical
1134 > quantities.  For long-time dynamics and collective motions, the safest
1135 > pairwise method we have evaluated is the {\sc sf} method with an
1136 > electrostatic damping between 0.2 and 0.25
1137 > \AA$^{-1}$.
1138  
1139 + We are not suggesting that there is any flaw with the Ewald sum; in
1140 + fact, it is the standard by which these simple pairwise sums have been
1141 + judged.  However, these results do suggest that in the typical
1142 + simulations performed today, the Ewald summation may no longer be
1143 + required to obtain the level of accuracy most researchers have come to
1144 + expect.
1145 +
1146   \section{Acknowledgments}
1147 + Support for this project was provided by the National Science
1148 + Foundation under grant CHE-0134881.  The authors would like to thank
1149 + Steve Corcelli and Ed Maginn for helpful discussions and comments.
1150 +
1151   \newpage
1152  
1153   \bibliographystyle{jcp2}

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