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2   %\documentclass[aps,prb,preprint]{revtex4}
3   \documentclass[11pt]{article}
4   \usepackage{endfloat}
5 < \usepackage{amsmath}
5 > \usepackage{amsmath,bm}
6   \usepackage{amssymb}
7   \usepackage{epsf}
8   \usepackage{times}
# Line 77 | Line 77 | accurately incorporate their effect, and since the com
77   leading to an effect excluded from the pair interactions within a unit
78   box.  In large systems, excessively large cutoffs need to be used to
79   accurately incorporate their effect, and since the computational cost
80 < increases proportionally with the cutoff sphere, it quickly becomes an
81 < impractical task to perform these calculations.
80 > increases proportionally with the cutoff sphere, it quickly becomes
81 > very time-consuming to perform these calculations.
82  
83 + There have been many efforts to address this issue of both proper and
84 + practical handling of electrostatic interactions, and these have
85 + resulted in the availability of a variety of
86 + techniques.\cite{Roux99,Sagui99,Tobias01} These are typically
87 + classified as implicit methods (i.e., continuum dielectrics, static
88 + dipolar fields),\cite{Born20,Grossfield00} explicit methods (i.e.,
89 + Ewald summations, interaction shifting or
90 + truncation),\cite{Ewald21,Steinbach94} or a mixture of the two (i.e.,
91 + reaction field type methods, fast multipole
92 + methods).\cite{Onsager36,Rokhlin85} The explicit or mixed methods are
93 + often preferred because they incorporate dynamic solvent molecules in
94 + the system of interest, but these methods are sometimes difficult to
95 + utilize because of their high computational cost.\cite{Roux99} In
96 + addition to this cost, there has been some question of the inherent
97 + periodicity of the explicit Ewald summation artificially influencing
98 + systems dynamics.\cite{Tobias01}
99 +
100 + In this paper, we focus on the common mixed and explicit methods of
101 + reaction filed and smooth particle mesh
102 + Ewald\cite{Onsager36,Essmann99} and a new set of shifted methods
103 + devised by Wolf {\it et al.} which we further extend.\cite{Wolf99}
104 + These new methods for handling electrostatics are quite
105 + computationally efficient, since they involve only a simple
106 + modification to the direct pairwise sum, and they lack the added
107 + periodicity of the Ewald sum. Below, these methods are evaluated using
108 + a variety of model systems and comparison methodologies to establish
109 + their usability in molecular simulations.
110 +
111   \subsection{The Ewald Sum}
112 < blah blah blah Ewald Sum Important blah blah blah
112 > The complete accumulation electrostatic interactions in a system with
113 > periodic boundary conditions (PBC) requires the consideration of the
114 > effect of all charges within a simulation box, as well as those in the
115 > periodic replicas,
116 > \begin{equation}
117 > 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],
118 > \label{eq:PBCSum}
119 > \end{equation}
120 > where the sum over $\mathbf{n}$ is a sum over all periodic box
121 > replicas with integer coordinates $\mathbf{n} = (l,m,n)$, and the
122 > prime indicates $i = j$ are neglected for $\mathbf{n} =
123 > 0$.\cite{deLeeuw80} Within the sum, $N$ is the number of electrostatic
124 > particles, $\mathbf{r}_{ij}$ is $\mathbf{r}_j - \mathbf{r}_i$, $L$ is
125 > the cell length, $\bm{\Omega}_{i,j}$ are the Euler angles for $i$ and
126 > $j$, and $\phi$ is Poisson's equation ($\phi(\mathbf{r}_{ij}) = q_i
127 > q_j |\mathbf{r}_{ij}|^{-1}$ for charge-charge interactions). In the
128 > case of monopole electrostatics, eq. (\ref{eq:PBCSum}) is
129 > conditionally convergent and is discontinuous for non-neutral systems.
130  
131 + This electrostatic summation problem was originally studied by Ewald
132 + for the case of an infinite crystal.\cite{Ewald21}. The approach he
133 + took was to convert this conditionally convergent sum into two
134 + absolutely convergent summations: a short-ranged real-space summation
135 + and a long-ranged reciprocal-space summation,
136 + \begin{equation}
137 + \begin{split}
138 + V_\textrm{elec} = \frac{1}{2}& \sum_{i=1}^N\sum_{j=1}^N \Biggr[ q_i q_j\Biggr( {\sum_{\mathbf{n}}}^\prime \frac{\textrm{erfc}\left( \alpha|\mathbf{r}_{ij}+\mathbf{n}|\right)}{|\mathbf{r}_{ij}+\mathbf{n}|} \\ &+ \frac{1}{\pi L^3}\sum_{\mathbf{k}\ne 0}\frac{4\pi^2}{|\mathbf{k}|^2} \exp{\left(-\frac{\pi^2|\mathbf{k}|^2}{\alpha^2}\right) \cos\left(\mathbf{k}\cdot\mathbf{r}_{ij}\right)}\Biggr)\Biggr] \\ &- \frac{\alpha}{\pi^{1/2}}\sum_{i=1}^N q_i^2 + \frac{2\pi}{(2\epsilon_\textrm{S}+1)L^3}\left|\sum_{i=1}^N q_i\mathbf{r}_i\right|^2,
139 + \end{split}
140 + \label{eq:EwaldSum}
141 + \end{equation}
142 + where $\alpha$ is a damping parameter, or separation constant, with
143 + units of \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and equal
144 + $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
145 + constant of the encompassing medium. The final two terms of
146 + eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
147 + for interacting with a surrounding dielectric.\cite{Allen87} This
148 + dipolar term was neglected in early applications in molecular
149 + simulations,\cite{Brush66,Woodcock71} until it was introduced by de
150 + Leeuw {\it et al.} to address situations where the unit cell has a
151 + dipole moment and this dipole moment gets magnified through
152 + replication of the periodic images.\cite{deLeeuw80,Smith81} If this
153 + term is taken to be zero, the system is using conducting boundary
154 + conditions, $\epsilon_{\rm S} = \infty$. Figure
155 + \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
156 + time.  Initially, due to the small size of systems, the entire
157 + simulation box was replicated to convergence.  Currently, we balance a
158 + spherical real-space cutoff with the reciprocal sum and consider the
159 + surrounding dielectric.
160   \begin{figure}
161   \centering
162   \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
# Line 96 | Line 170 | a surrounding dielectric term is included.}
170   \label{fig:ewaldTime}
171   \end{figure}
172  
173 + The Ewald summation in the straight-forward form is an
174 + $\mathscr{O}(N^2)$ algorithm.  The separation constant $(\alpha)$
175 + plays an important role in the computational cost balance between the
176 + direct and reciprocal-space portions of the summation.  The choice of
177 + the magnitude of this value allows one to select whether the
178 + real-space or reciprocal space portion of the summation is an
179 + $\mathscr{O}(N^2)$ calculation (with the other being
180 + $\mathscr{O}(N)$).\cite{Sagui99} With appropriate choice of $\alpha$
181 + and thoughtful algorithm development, this cost can be brought down to
182 + $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route taken to
183 + reduce the cost of the Ewald summation further is to set $\alpha$ such
184 + that the real-space interactions decay rapidly, allowing for a short
185 + spherical cutoff, and then optimize the reciprocal space summation.
186 + These optimizations usually involve the utilization of the fast
187 + Fourier transform (FFT),\cite{Hockney81} leading to the
188 + particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
189 + methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
190 + methods, the cost of the reciprocal-space portion of the Ewald
191 + summation is from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N \log N)$.
192 +
193 + These developments and optimizations have led the use of the Ewald
194 + summation to become routine in simulations with periodic boundary
195 + conditions. However, in certain systems the intrinsic three
196 + dimensional periodicity can prove to be problematic, such as two
197 + dimensional surfaces and membranes.  The Ewald sum has been
198 + reformulated to handle 2D
199 + systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the new
200 + methods have been found to be computationally
201 + expensive.\cite{Spohr97,Yeh99} Inclusion of a correction term in the
202 + full Ewald summation is a possible direction for enabling the handling
203 + of 2D systems and the inclusion of the optimizations described
204 + previously.\cite{Yeh99}
205 +
206 + Several studies have recognized that the inherent periodicity in the
207 + Ewald sum can also have an effect on systems that have the same
208 + dimensionality.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
209 + Good examples are solvated proteins kept at high relative
210 + concentration due to the periodicity of the electrostatics.  In these
211 + systems, the more compact folded states of a protein can be
212 + artificially stabilized by the periodic replicas introduced by the
213 + Ewald summation.\cite{Weber00} Thus, care ought to be taken when
214 + considering the use of the Ewald summation where the intrinsic
215 + periodicity may negatively affect the system dynamics.
216 +
217 +
218   \subsection{The Wolf and Zahn Methods}
219   In a recent paper by Wolf \textit{et al.}, a procedure was outlined
220 < for an accurate accumulation of electrostatic interactions in an
221 < efficient pairwise fashion.\cite{Wolf99} Wolf \textit{et al.} observed
222 < that the electrostatic interaction is effectively short-ranged in
223 < condensed phase systems and that neutralization of the charge
224 < contained within the cutoff radius is crucial for potential
225 < stability. They devised a pairwise summation method that ensures
226 < charge neutrality and gives results similar to those obtained with
227 < the Ewald summation.  The resulting shifted Coulomb potential
228 < (Eq. \ref{eq:WolfPot}) includes image-charges subtracted out through
229 < placement on the cutoff sphere and a distance-dependent damping
230 < function (identical to that seen in the real-space portion of the
231 < Ewald sum) to aid convergence
220 > for the accurate accumulation of electrostatic interactions in an
221 > efficient pairwise fashion and lacks the inherent periodicity of the
222 > Ewald summation.\cite{Wolf99} Wolf \textit{et al.} observed that the
223 > electrostatic interaction is effectively short-ranged in condensed
224 > phase systems and that neutralization of the charge contained within
225 > the cutoff radius is crucial for potential stability. They devised a
226 > pairwise summation method that ensures charge neutrality and gives
227 > results similar to those obtained with the Ewald summation.  The
228 > resulting shifted Coulomb potential (Eq. \ref{eq:WolfPot}) includes
229 > image-charges subtracted out through placement on the cutoff sphere
230 > and a distance-dependent damping function (identical to that seen in
231 > the real-space portion of the Ewald sum) to aid convergence
232   \begin{equation}
233 < V^{\textrm{Wolf}}(r_{ij})= \frac{q_iq_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}}-\lim_{r_{ij}\rightarrow R_\textrm{c}}\left\{\frac{q_iq_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}}\right\}.
233 > V_{\textrm{Wolf}}(r_{ij})= \frac{q_i q_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}}-\lim_{r_{ij}\rightarrow R_\textrm{c}}\left\{\frac{q_iq_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}}\right\}.
234   \label{eq:WolfPot}
235   \end{equation}
236   Eq. (\ref{eq:WolfPot}) is essentially the common form of a shifted
237   potential.  However, neutralizing the charge contained within each
238   cutoff sphere requires the placement of a self-image charge on the
239   surface of the cutoff sphere.  This additional self-term in the total
240 < potential enables Wolf {\it et al.}  to obtain excellent estimates of
240 > potential enabled Wolf {\it et al.}  to obtain excellent estimates of
241   Madelung energies for many crystals.
242  
243   In order to use their charge-neutralized potential in molecular
# Line 126 | Line 245 | procedure gives an expression for the forces,
245   derivative of this potential prior to evaluation of the limit.  This
246   procedure gives an expression for the forces,
247   \begin{equation}
248 < F^{\textrm{Wolf}}(r_{ij}) = q_i q_j\left\{-\left[\frac{\textrm{erfc}(\alpha r_{ij})}{r^2_{ij}}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{(-\alpha^2r_{ij}^2)}}{r_{ij}}\right]+\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\},
248 > F_{\textrm{Wolf}}(r_{ij}) = q_i q_j\left\{\left[\frac{\textrm{erfc}\left(\alpha r_{ij}\right)}{r^2_{ij}}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r_{ij}^2\right)}}{r_{ij}}\right]-\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\},
249   \label{eq:WolfForces}
250   \end{equation}
251   that incorporates both image charges and damping of the electrostatic
# Line 134 | Line 253 | force expressions for use in simulations involving wat
253  
254   More recently, Zahn \textit{et al.} investigated these potential and
255   force expressions for use in simulations involving water.\cite{Zahn02}
256 < In their work, they pointed out that the method that the forces and
257 < derivative of the potential are not commensurate.  Attempts to use
258 < both Eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will
259 < lead to poor energy conservation.  They correctly observed that taking
260 < the limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating
261 < the derivatives is mathematically invalid.
256 > In their work, they pointed out that the forces and derivative of
257 > the potential are not commensurate.  Attempts to use both
258 > Eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
259 > to poor energy conservation.  They correctly observed that taking the
260 > limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
261 > derivatives gives forces for a different potential energy function
262 > than the one shown in Eq. (\ref{eq:WolfPot}).
263  
264   Zahn \textit{et al.} proposed a modified form of this ``Wolf summation
265   method'' as a way to use this technique in Molecular Dynamics
# Line 147 | Line 267 | potential,
267   \ref{eq:WolfForces}, they proposed a new damped Coulomb
268   potential,
269   \begin{equation}
270 < 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\}.
270 > 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\}.
271   \label{eq:ZahnPot}
272   \end{equation}
273   They showed that this potential does fairly well at capturing the
# Line 158 | Line 278 | al.} are constructed using two different (and separabl
278  
279   The potentials proposed by Wolf \textit{et al.} and Zahn \textit{et
280   al.} are constructed using two different (and separable) computational
281 < tricks: \begin{itemize}
281 > tricks: \begin{enumerate}
282   \item shifting through the use of image charges, and
283   \item damping the electrostatic interaction.
284 < \end{itemize}  Wolf \textit{et al.} treated the
284 > \end{enumerate}  Wolf \textit{et al.} treated the
285   development of their summation method as a progressive application of
286   these techniques,\cite{Wolf99} while Zahn \textit{et al.} founded
287   their damped Coulomb modification (Eq. (\ref{eq:ZahnPot})) on the
# Line 181 | Line 301 | shifted potential,
301   \textit{et al.}  and Zahn \textit{et al.} by considering the standard
302   shifted potential,
303   \begin{equation}
304 < v^\textrm{SP}(r) =      \begin{cases}
304 > v_\textrm{SP}(r) =      \begin{cases}
305   v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
306   R_\textrm{c}  
307   \end{cases},
# Line 189 | Line 309 | and shifted force,
309   \end{equation}
310   and shifted force,
311   \begin{equation}
312 < v^\textrm{SF}(r) =      \begin{cases}
313 < v(r)-v_\textrm{c}-\left(\frac{\textrm{d}v(r)}{\textrm{d}r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
312 > v_\textrm{SF}(r) =      \begin{cases}
313 > v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
314   &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
315                                                  \end{cases},
316   \label{eq:shiftingForm}
# Line 202 | Line 322 | potential is smooth at the cutoff radius
322   potential is smooth at the cutoff radius
323   ($R_\textrm{c}$).\cite{Allen87}
324  
325 <
326 <
207 <
208 < If the derivative term is taken to be zero, we are left with the shifted Coulomb potential devised by Wolf \textit{et al.},\cite{Wolf99}
325 > The forces associated with the shifted potential are simply the forces
326 > of the unshifted potential itself (when inside the cutoff sphere),
327   \begin{equation}
328 < V^\textrm{SP}(r_{ij}) = q_iq_j\left(\frac{1}{r_{ij}}-\frac{1}{R_\textrm{c}}\right) \quad r_{ij}\leqslant R_\textrm{c}.                          \label{eq:WolfSP}
328 > f_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
329   \end{equation}
330 < The forces associated with this potential are obtained by taking the derivative, resulting in the following,
330 > and are zero outside.  Inside the cutoff sphere, the forces associated
331 > with the shifted force form can be written,
332   \begin{equation}
333 < F^\textrm{SP}(r_{ij}) = q_iq_j\left(-\frac{1}{r_{ij}^2}\right) \quad r_{ij}\leqslant R_\textrm{c}.
334 < \label{eq:FWolfSP}
333 > f_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
334 > v(r)}{dr} \right)_{r=R_\textrm{c}}.
335   \end{equation}
336 < These forces are identical to the forces of the standard electrostatic interaction, and this was addressed by Wolf \textit{et al.} as undesirable.  They pointed out that the effect of the image charges is neglected in the forces when they would expect there to be some pressure exerted due to their presence.\cite{Wolf99}  As a consequence the forces, though mathematically valid, may not be physically correct due to this missing component.  Additionally, there is a discontinuity in the forces.  This can be remedied with the use of a switching function to zero the potential and forces smoothly as particles near $R_\textrm{c}$.  
337 <
219 < If the derivative term in equation \ref{eq:shiftingForm} is evaluated, we obtain an hitherto undiscussed shifted force Coulomb potential,
336 >
337 > If the potential ($v(r)$) is taken to be the normal Coulomb potential,
338   \begin{equation}
339 < V^\textrm{SF}(r_{ij}) = q_iq_j\left[\frac{1}{r_{ij}}-\frac{1}{R_\textrm{c}}+\left(\frac{1}{R_\textrm{c}^2}\right)(r_{ij}-R_\textrm{c})\right] \quad r_{ij}\leqslant R_\textrm{c}.
339 > v(r) = \frac{q_i q_j}{r},
340 > \label{eq:Coulomb}
341 > \end{equation}
342 > then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
343 > al.}'s undamped prescription:
344 > \begin{equation}
345 > v_\textrm{SP}(r) =
346 > q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
347 > r\leqslant R_\textrm{c},
348 > \label{eq:SPPot}
349 > \end{equation}
350 > with associated forces,
351 > \begin{equation}
352 > f_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
353 > \label{eq:SPForces}
354 > \end{equation}
355 > These forces are identical to the forces of the standard Coulomb
356 > interaction, and cutting these off at $R_c$ was addressed by Wolf
357 > \textit{et al.} as undesirable.  They pointed out that the effect of
358 > the image charges is neglected in the forces when this form is
359 > used,\cite{Wolf99} thereby eliminating any benefit from the method in
360 > molecular dynamics.  Additionally, there is a discontinuity in the
361 > forces at the cutoff radius which results in energy drift during MD
362 > simulations.
363 >
364 > The shifted force ({\sc sf}) form using the normal Coulomb potential
365 > will give,
366 > \begin{equation}
367 > 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}.
368   \label{eq:SFPot}
369   \end{equation}
370 < Taking the derivative of this shifted force potential gives the
225 < following forces,
370 > with associated forces,
371   \begin{equation}
372 < F^\textrm{SF}(r_{ij} =  q_iq_j\left(-\frac{1}{r_{ij}^2}+\frac{1}{R_\textrm{c}^2}\right) \quad r_{ij}\leqslant R_\textrm{c}.
372 > 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}.
373   \label{eq:SFForces}
374   \end{equation}
375 < Using this formulation rather than the simple shifted potential
376 < (Eq. \ref{eq:WolfSP}) means that there are no discontinuities in the
377 < forces in addition to the potential.  This form also has the benefit
378 < that the image charges have a force presence, addressing the concerns
379 < about a missing physical component.  One side effect of this treatment
380 < is a slight alteration in the shape of the potential that comes about
381 < from the derivative term.  Thus, a degree of clarity about the
382 < original formulation of the potential is lost in order to gain
383 < functionality in dynamics simulations.
375 > This formulation has the benefits that there are no discontinuities at
376 > the cutoff distance, while the neutralizing image charges are present
377 > in both the energy and force expressions.  It would be simple to add
378 > the self-neutralizing term back when computing the total energy of the
379 > system, thereby maintaining the agreement with the Madelung energies.
380 > A side effect of this treatment is the alteration in the shape of the
381 > potential that comes from the derivative term.  Thus, a degree of
382 > clarity about agreement with the empirical potential is lost in order
383 > to gain functionality in dynamics simulations.
384  
385   Wolf \textit{et al.} originally discussed the energetics of the
386 < shifted Coulomb potential (Eq. \ref{eq:WolfSP}), and they found that
387 < it was still insufficient for accurate determination of the energy.
388 < The energy would fluctuate around the expected value with increasing
389 < cutoff radius, but the oscillations appeared to be converging toward
390 < the correct value.\cite{Wolf99} A damping function was incorporated to
391 < accelerate convergence; and though alternative functional forms could
392 < be used,\cite{Jones56,Heyes81} the complimentary error function was
393 < chosen to draw parallels to the Ewald summation.  Incorporating
394 < damping into the simple Coulomb potential,
386 > shifted Coulomb potential (Eq. \ref{eq:SPPot}), and they found that
387 > it was still insufficient for accurate determination of the energy
388 > with reasonable cutoff distances.  The calculated Madelung energies
389 > fluctuate around the expected value with increasing cutoff radius, but
390 > the oscillations converge toward the correct value.\cite{Wolf99} A
391 > damping function was incorporated to accelerate the convergence; and
392 > though alternative functional forms could be
393 > used,\cite{Jones56,Heyes81} the complimentary error function was
394 > chosen to mirror the effective screening used in the Ewald summation.
395 > Incorporating this error function damping into the simple Coulomb
396 > potential,
397   \begin{equation}
398 < v(r_{ij}) = \frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}},
398 > v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
399   \label{eq:dampCoulomb}
400   \end{equation}
401 < the shifted potential (Eq. \ref{eq:WolfSP}) can be rederived
402 < \textit{via} equation \ref{eq:shiftingForm},
401 > the shifted potential (Eq. (\ref{eq:SPPot})) can be reacquired using
402 > eq. (\ref{eq:shiftingForm}),
403   \begin{equation}
404 < V^{\textrm{DSP}}(r_{ij}) = q_iq_j\left(\frac{\textrm{erfc}(\alpha r_{ij})}{r_{ij}}-\frac{\textrm{erfc}(\alpha R_\textrm{c})}{R_\textrm{c}}\right) \quad r_{ij}\leqslant R_\textrm{c}.
404 > 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},
405   \label{eq:DSPPot}
406   \end{equation}
407 < The derivative of this Shifted-Potential can be taken to obtain forces
261 < for use in MD,
407 > with associated forces,
408   \begin{equation}
409 < F^{\textrm{DSP}}(r_{ij}) = q_iq_j\left(-\frac{\textrm{erfc}(\alpha r_{ij})}{r^2_{ij}}-\frac{2\alpha}{\pi^{1/2}}\frac{\exp{(-\alpha^2r_{ij}^2)}}{r_{ij}}\right) \quad r_{ij}\leqslant R_\textrm{c}.
409 > 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}.
410   \label{eq:DSPForces}
411   \end{equation}
412 < Again, this Shifted-Potential suffers from a discontinuity in the
413 < forces, and a lack of an image-charge component in the forces.  To
414 < remedy these concerns, a Shifted-Force variant is obtained by
415 < inclusion of the derivative term in equation \ref{eq:shiftingForm} to
270 < give,
412 > Again, this damped shifted potential suffers from a discontinuity and
413 > a lack of the image charges in the forces.  To remedy these concerns,
414 > one may derive a {\sc sf} variant by including  the derivative
415 > term in eq. (\ref{eq:shiftingForm}),
416   \begin{equation}
417   \begin{split}
418 < V^\mathrm{DSF}(r_{ij}) = q_iq_j\Biggr{[}&\frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}}-\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_{ij}-R_\mathrm{c}\right)\ \right] \quad r_{ij}\leqslant R_\textrm{c}.
418 > 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}.
419   \label{eq:DSFPot}
420   \end{split}
421   \end{equation}
422 < The derivative of the above potential gives the following forces,
422 > The derivative of the above potential will lead to the following forces,
423   \begin{equation}
424   \begin{split}
425 < F^\mathrm{DSF}(r_{ij}) = q_iq_j\Biggr{[}&-\left(\frac{\textrm{erfc}(\alpha r_{ij})}{r^2_{ij}}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{(-\alpha^2r_{ij}^2)}}{r_{ij}}\right) \\ &\left.+\left(\frac{\textrm{erfc}(\alpha R_{\textrm{c}})}{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_{ij}\leqslant R_\textrm{c}.
425 > 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}.
426   \label{eq:DSFForces}
427   \end{split}
428   \end{equation}
429 + If the damping parameter $(\alpha)$ is chosen to be zero, the undamped
430 + case, eqs. (\ref{eq:SPPot}-\ref{eq:SFForces}) are correctly recovered
431 + from eqs. (\ref{eq:DSPPot}-\ref{eq:DSFForces}).
432  
433 < This new Shifted-Force potential is similar to equation
434 < \ref{eq:ZahnPot} derived by Zahn \textit{et al.}; however, there are
435 < two important differences.\cite{Zahn02} First, the $v_\textrm{c}$ term
436 < from equation \ref{eq:shiftingForm} is equal to equation
437 < \ref{eq:dampCoulomb} with $R_\textrm{c}$ supplied for $r_{ij}$.  This
438 < term is not present in the Zahn potential, resulting in a
439 < discontinuity as particles cross $R_\textrm{c}$.  Second, the sign of
440 < the derivative portion is different.  The constant $v_\textrm{c}$ term
441 < is not going to have a presence in the forces after performing the
442 < derivative, but the negative sign does effect the derivative.  In
443 < fact, it introduces a discontinuity in the forces at the cutoff,
444 < because the force function is shifted in the wrong direction and
445 < doesn't cross zero at $R_\textrm{c}$.  Thus, these alterations make
446 < for an electrostatic summation method that is continuous in both the
299 < potential and forces and incorporates the pairwise sum considerations
300 < stressed by Wolf \textit{et al.}\cite{Wolf99}
433 > This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
434 > derived by Zahn \textit{et al.}; however, there are two important
435 > differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from
436 > eq. (\ref{eq:shiftingForm}) is equal to eq. (\ref{eq:dampCoulomb})
437 > with $r$ replaced by $R_\textrm{c}$.  This term is {\it not} present
438 > in the Zahn potential, resulting in a potential discontinuity as
439 > particles cross $R_\textrm{c}$.  Second, the sign of the derivative
440 > portion is different.  The missing $v_\textrm{c}$ term would not
441 > affect molecular dynamics simulations (although the computed energy
442 > would be expected to have sudden jumps as particle distances crossed
443 > $R_c$).  The sign problem would be a potential source of errors,
444 > however.  In fact, it introduces a discontinuity in the forces at the
445 > cutoff, because the force function is shifted in the wrong direction
446 > and doesn't cross zero at $R_\textrm{c}$.
447  
448 + Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
449 + electrostatic summation method that is continuous in both the
450 + potential and forces and which incorporates the damping function
451 + proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of this
452 + paper, we will evaluate exactly how good these methods ({\sc sp}, {\sc
453 + sf}, damping) are at reproducing the correct electrostatic summation
454 + performed by the Ewald sum.
455 +
456 + \subsection{Other alternatives}
457 + In addition to the methods described above, we will consider some
458 + other techniques that commonly get used in molecular simulations.  The
459 + simplest of these is group-based cutoffs.  Though of little use for
460 + non-neutral molecules, collecting atoms into neutral groups takes
461 + advantage of the observation that the electrostatic interactions decay
462 + faster than those for monopolar pairs.\cite{Steinbach94} When
463 + considering these molecules as groups, an orientational aspect is
464 + introduced to the interactions.  Consequently, as these molecular
465 + particles move through $R_\textrm{c}$, the energy will drift upward
466 + due to the anisotropy of the net molecular dipole
467 + interactions.\cite{Rahman71} To maintain good energy conservation,
468 + both the potential and derivative need to be smoothly switched to zero
469 + at $R_\textrm{c}$.\cite{Adams79} This is accomplished using a
470 + switching function,
471 + \begin{equation}
472 + 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}
480 +
481 + Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
482 + and to incorporate their effect, a method like Reaction Field ({\sc
483 + rf}) can be used.  The original theory for {\sc rf} was originally
484 + developed by Onsager,\cite{Onsager36} and it was applied in
485 + simulations for the study of water by Barker and Watts.\cite{Barker73}
486 + In application, it is simply an extension of the group-based cutoff
487 + method where the net dipole within the cutoff sphere polarizes an
488 + external dielectric, which reacts back on the central dipole.  The
489 + same switching function considerations for group-based cutoffs need to
490 + made for {\sc rf}, with the additional pre-specification of a
491 + dielectric constant.
492 +
493   \section{Methods}
494  
304 \subsection{What Qualities are Important?}\label{sec:Qualities}
495   In classical molecular mechanics simulations, there are two primary
496   techniques utilized to obtain information about the system of
497   interest: Monte Carlo (MC) and Molecular Dynamics (MD).  Both of these
# Line 310 | Line 500 | configurations dictates the progression of MC sampling
500  
501   In MC, the potential energy difference between two subsequent
502   configurations dictates the progression of MC sampling.  Going back to
503 < the origins of this method, the Canonical ensemble acceptance criteria
504 < laid out by Metropolis \textit{et al.} states that a subsequent
505 < configuration is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta
506 < E/kT)$, where $\xi$ is a random number between 0 and
507 < 1.\cite{Metropolis53} Maintaining a consistent $\Delta E$ when using
508 < an alternate method for handling the long-range electrostatics ensures
509 < proper sampling within the ensemble.
503 > the origins of this method, the acceptance criterion for the canonical
504 > ensemble laid out by Metropolis \textit{et al.} states that a
505 > subsequent configuration is accepted if $\Delta E < 0$ or if $\xi <
506 > \exp(-\Delta E/kT)$, where $\xi$ is a random number between 0 and
507 > 1.\cite{Metropolis53} Maintaining the correct $\Delta E$ when using an
508 > alternate method for handling the long-range electrostatics will
509 > ensure proper sampling from the ensemble.
510  
511 < In MD, the derivative of the potential directs how the system will
511 > In MD, the derivative of the potential governs how the system will
512   progress in time.  Consequently, the force and torque vectors on each
513 < body in the system dictate how it develops as a whole.  If the
514 < magnitude and direction of these vectors are similar when using
515 < alternate electrostatic summation techniques, the dynamics in the near
516 < term will be indistinguishable.  Because error in MD calculations is
517 < cumulative, one should expect greater deviation in the long term
518 < trajectories with greater differences in these vectors between
519 < configurations using different long-range electrostatics.
513 > body in the system dictate how the system evolves.  If the magnitude
514 > and direction of these vectors are similar when using alternate
515 > electrostatic summation techniques, the dynamics in the short term
516 > will be indistinguishable.  Because error in MD calculations is
517 > cumulative, one should expect greater deviation at longer times,
518 > although methods which have large differences in the force and torque
519 > vectors will diverge from each other more rapidly.
520  
521   \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
522 < Evaluation of the pairwise summation techniques (outlined in section
523 < \ref{sec:ESMethods}) for use in MC simulations was performed through
524 < study of the energy differences between conformations.  Considering
525 < the SPME results to be the correct or desired behavior, ideal
526 < performance of a tested method was taken to be agreement between the
527 < energy differences calculated.  Linear least squares regression of the
528 < $\Delta E$ values between configurations using SPME against $\Delta E$
529 < values using tested methods provides a quantitative comparison of this
530 < agreement.  Unitary results for both the correlation and correlation
531 < coefficient for these regressions indicate equivalent energetic
532 < results between the methods.  The correlation is the slope of the
533 < plotted data while the correlation coefficient ($R^2$) is a measure of
534 < the of the data scatter around the fitted line and tells about the
535 < quality of the fit (Fig. \ref{fig:linearFit}).
522 > The pairwise summation techniques (outlined in section
523 > \ref{sec:ESMethods}) were evaluated for use in MC simulations by
524 > studying the energy differences between conformations.  We took the
525 > SPME-computed energy difference between two conformations to be the
526 > correct behavior. An ideal performance by an alternative method would
527 > reproduce these energy differences exactly.  Since none of the methods
528 > provide exact energy differences, we used linear least squares
529 > regressions of the $\Delta E$ values between configurations using SPME
530 > against $\Delta E$ values using tested methods provides a quantitative
531 > comparison of this agreement.  Unitary results for both the
532 > correlation and correlation coefficient for these regressions indicate
533 > equivalent energetic results between the method under consideration
534 > and electrostatics handled using SPME.  Sample correlation plots for
535 > two alternate methods are shown in Fig. \ref{fig:linearFit}.
536  
537   \begin{figure}
538   \centering
# Line 351 | Line 541 | quality of the fit (Fig. \ref{fig:linearFit}).
541   \label{fig:linearFit}
542   \end{figure}
543  
544 < Each system type (detailed in section \ref{sec:RepSims}) studied
545 < consisted of 500 independent configurations, each equilibrated from
546 < higher temperature trajectories. Thus, 124,750 $\Delta E$ data points
547 < are used in a regression of a single system type.  Results and
548 < discussion for the individual analysis of each of the system types
359 < appear in the supporting information, while the cumulative results
360 < over all the investigated systems appears below in section
361 < \ref{sec:EnergyResults}.
544 > Each system type (detailed in section \ref{sec:RepSims}) was
545 > represented using 500 independent configurations.  Additionally, we
546 > used seven different system types, so each of the alternate
547 > (non-Ewald) electrostatic summation methods was evaluated using
548 > 873,250 configurational energy differences.
549  
550 + Results and discussion for the individual analysis of each of the
551 + system types appear in the supporting information, while the
552 + cumulative results over all the investigated systems appears below in
553 + section \ref{sec:EnergyResults}.
554 +
555   \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
556 < Evaluation of the pairwise methods (outlined in section
557 < \ref{sec:ESMethods}) for use in MD simulations was performed through
558 < comparison of the force and torque vectors obtained with those from
559 < SPME.  Both the magnitude and the direction of these vectors on each
560 < of the bodies in the system were analyzed.  For the magnitude of these
561 < vectors, linear least squares regression analysis can be performed as
562 < described previously for comparing $\Delta E$ values. Instead of a
563 < single value between two system configurations, there is a value for
564 < each particle in each configuration.  For a system of 1000 water
565 < molecules and 40 ions, there are 1040 force vectors and 1000 torque
566 < vectors.  With 500 configurations, this results in 520,000 force and
567 < 500,000 torque vector comparisons samples for each system type.
556 > We evaluated the pairwise methods (outlined in section
557 > \ref{sec:ESMethods}) for use in MD simulations by
558 > comparing the force and torque vectors with those obtained using the
559 > reference Ewald summation (SPME).  Both the magnitude and the
560 > direction of these vectors on each of the bodies in the system were
561 > analyzed.  For the magnitude of these vectors, linear least squares
562 > regression analyses were performed as described previously for
563 > comparing $\Delta E$ values.  Instead of a single energy difference
564 > between two system configurations, we compared the magnitudes of the
565 > forces (and torques) on each molecule in each configuration.  For a
566 > system of 1000 water molecules and 40 ions, there are 1040 force
567 > vectors and 1000 torque vectors.  With 500 configurations, this
568 > results in 520,000 force and 500,000 torque vector comparisons.
569 > Additionally, data from seven different system types was aggregated
570 > before the comparison was made.
571  
572 < The force and torque vector directions were investigated through
573 < measurement of the angle ($\theta$) formed between those from the
574 < particular method and those from SPME
572 > The {\it directionality} of the force and torque vectors was
573 > investigated through measurement of the angle ($\theta$) formed
574 > between those computed from the particular method and those from SPME,
575   \begin{equation}
576 < \theta_F = \frac{\vec{F}_\textrm{SPME}}{|\vec{F}_\textrm{SPME}|}\cdot\frac{\vec{F}_\textrm{Method}}{|\vec{F}_\textrm{Method}|}.
576 > \theta_f = \cos^{-1} \left(\hat{f}_\textrm{SPME} \cdot \hat{f}_\textrm{Method}\right),
577   \end{equation}
578 + where $\hat{f}_\textrm{M}$ is the unit vector pointing along the
579 + force vector computed using method $M$.  
580 +
581   Each of these $\theta$ values was accumulated in a distribution
582 < function, weighted by the area on the unit sphere.  Non-linear fits
583 < were used to measure the shape of the resulting distributions.
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
# Line 395 | Line 594 | Lorentzian.  Since this distribution is a measure of a
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
597 < between two different electrostatic summation methods, there is
598 < particular reason for the profile to adhere to a specific shape.
599 < Because of this and the Gaussian profile's more statistically
600 < meaningful properties, Gaussian fits was used to compare all the
601 < tested methods.  The variance ($\sigma^2$) was extracted from each of
602 < these fits and was used to compare distribution widths.  Values of
603 < $\sigma^2$ near zero indicate vector directions indistinguishable from
405 < those calculated when using SPME.
597 > between two different electrostatic summation methods, there is no
598 > {\it a priori} reason for the profile to adhere to any specific shape.
599 > Gaussian fits was used to compare all the tested methods.  The
600 > variance ($\sigma^2$) was extracted from each of these fits and was
601 > used to compare distribution widths.  Values of $\sigma^2$ near zero
602 > indicate vector directions indistinguishable from those calculated
603 > when using the reference method (SPME).
604  
605 < \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
606 < Evaluation of the long-time dynamics of charged systems was performed
607 < by considering the NaCl crystal system while using a subset of the
605 > \subsection{Short-time Dynamics}
606 > Evaluation of the short-time dynamics of charged systems was performed
607 > by considering the 1000 K NaCl crystal system while using a subset of the
608   best performing pairwise methods.  The NaCl crystal was chosen to
609   avoid possible complications involving the propagation techniques of
610 < orientational motion in molecular systems.  To enhance the atomic
611 < motion, these crystals were equilibrated at 1000 K, near the
612 < experimental $T_m$ for NaCl.  Simulations were performed under the
613 < microcanonical ensemble, and velocity autocorrelation functions
614 < (Eq. \ref{eq:vCorr}) were computed for each of the trajectories,
610 > orientational motion in molecular systems.  All systems were started
611 > with the same initial positions and velocities.  Simulations were
612 > performed under the microcanonical ensemble, and velocity
613 > autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
614 > of the trajectories,
615   \begin{equation}
616 < C_v(t) = \langle v_i(0)\cdot v_i(t)\rangle.
616 > C_v(t) = \frac{\langle v_i(0)\cdot v_i(t)\rangle}{\langle v_i(0)\cdot v_i(0)\rangle}.
617   \label{eq:vCorr}
618   \end{equation}
619 < Velocity autocorrelation functions require detailed short time data
620 < and long trajectories for good statistics, thus velocity information
621 < was saved every 5 fs over 100 ps trajectories.  The power spectrum
622 < ($I(\omega)$) is obtained via Fourier transform of the autocorrelation
623 < function
619 > Velocity autocorrelation functions require detailed short time data,
620 > thus velocity information was saved every 2 fs over 10 ps
621 > trajectories. Because the NaCl crystal is composed of two different
622 > atom types, the average of the two resulting velocity autocorrelation
623 > functions was used for comparisons.
624 >
625 > \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
626 > Evaluation of the long-time dynamics of charged systems was performed
627 > by considering the NaCl crystal system, again while using a subset of
628 > the best performing pairwise methods.  To enhance the atomic motion,
629 > these crystals were equilibrated at 1000 K, near the experimental
630 > $T_m$ for NaCl.  Simulations were performed under the microcanonical
631 > ensemble, and velocity information was saved every 5 fs over 100 ps
632 > 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,
636   \label{eq:powerSpec}
637   \end{equation}
638 < where the frequency, $\omega=0,\ 1,\ ...,\ N-1$.
638 > where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
639 > NaCl crystal is composed of two different atom types, the average of
640 > the two resulting power spectra was used for comparisons.
641  
642   \subsection{Representative Simulations}\label{sec:RepSims}
643   A variety of common and representative simulations were analyzed to
# Line 451 | Line 661 | snapshots were taken at regular intervals from higher
661   Generation of the system configurations was dependent on the system
662   type.  For the solid and liquid water configurations, configuration
663   snapshots were taken at regular intervals from higher temperature 1000
664 < SPC/E water molecule trajectories and each equilibrated individually.
665 < The solid and liquid NaCl systems consisted of 500 Na+ and 500 Cl-
666 < ions and were selected and equilibrated in the same fashion as the
667 < water systems.  For the low and high ionic strength NaCl solutions, 4
668 < and 40 ions were first solvated in a 1000 water molecule boxes
669 < respectively.  Ion and water positions were then randomly swapped, and
670 < the resulting configurations were again equilibrated individually.
671 < Finally, for the Argon/Water "charge void" systems, the identities of
672 < all the SPC/E waters within 6 \AA\ of the center of the equilibrated
673 < water configurations were converted to argon
674 < (Fig. \ref{fig:argonSlice}).
664 > SPC/E water molecule trajectories and each equilibrated
665 > individually.\cite{Berendsen87} The solid and liquid NaCl systems
666 > consisted of 500 Na+ and 500 Cl- ions and were selected and
667 > equilibrated in the same fashion as the water systems.  For the low
668 > and high ionic strength NaCl solutions, 4 and 40 ions were first
669 > solvated in a 1000 water molecule boxes respectively.  Ion and water
670 > positions were then randomly swapped, and the resulting configurations
671 > were again equilibrated individually.  Finally, for the Argon/Water
672 > "charge void" systems, the identities of all the SPC/E waters within 6
673 > \AA\ of the center of the equilibrated water configurations were
674 > converted to argon (Fig. \ref{fig:argonSlice}).
675  
676   \begin{figure}
677   \centering
# Line 472 | Line 682 | Electrostatic summation method comparisons were perfor
682  
683   \subsection{Electrostatic Summation Methods}\label{sec:ESMethods}
684   Electrostatic summation method comparisons were performed using SPME,
685 < the Shifted-Potential and Shifted-Force methods - both with damping
685 > the {\sc sp} and {\sc sf} methods - both with damping
686   parameters ($\alpha$) of 0.0, 0.1, 0.2, and 0.3 \AA$^{-1}$ (no, weak,
687   moderate, and strong damping respectively), reaction field with an
688   infinite dielectric constant, and an unmodified cutoff.  Group-based
# Line 491 | Line 701 | tolerance (typically less than $1 \times 10^{-4}$ kcal
701   the energies and forces calculated.  Typical molecular mechanics
702   packages default this to a value dependent on the cutoff radius and a
703   tolerance (typically less than $1 \times 10^{-4}$ kcal/mol).  Smaller
704 < tolerances are typically associated with increased accuracy in the
705 < real-space portion of the summation.\cite{Essmann95} The default
706 < TINKER tolerance of $1 \times 10^{-8}$ kcal/mol was used in all SPME
704 > tolerances are typically associated with increased accuracy, but this
705 > usually means more time spent calculating the reciprocal-space portion
706 > of the summation.\cite{Perram88,Essmann95} The default TINKER
707 > tolerance of $1 \times 10^{-8}$ kcal/mol was used in all SPME
708   calculations, resulting in Ewald Coefficients of 0.4200, 0.3119, and
709   0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\ respectively.
710  
# Line 515 | Line 726 | realistic results using an unmodified cutoff.  This is
726  
727   In this figure, it is apparent that it is unreasonable to expect
728   realistic results using an unmodified cutoff.  This is not all that
729 < surprising since this results in large energy fluctuations as atoms
730 < move in and out of the cutoff radius.  These fluctuations can be
731 < alleviated to some degree by using group based cutoffs with a
732 < switching function.\cite{Steinbach94} The Group Switch Cutoff row
733 < doesn't show a significant improvement in this plot because the salt
734 < and salt solution systems contain non-neutral groups, see the
729 > surprising since this results in large energy fluctuations as atoms or
730 > molecules move in and out of the cutoff radius.\cite{Rahman71,Adams79}
731 > These fluctuations can be alleviated to some degree by using group
732 > 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  
739   Correcting the resulting charged cutoff sphere is one of the purposes
740   of the damped Coulomb summation proposed by Wolf \textit{et
741   al.},\cite{Wolf99} and this correction indeed improves the results as
742 < seen in the Shifted-Potental rows.  While the undamped case of this
742 > seen in the {\sc sp} rows.  While the undamped case of this
743   method is a significant improvement over the pure cutoff, it still
744   doesn't correlate that well with SPME.  Inclusion of potential damping
745   improves the results, and using an $\alpha$ of 0.2 \AA $^{-1}$ shows
# Line 535 | Line 747 | shown, but it has a detrimental effect on simulations
747   particularly with a cutoff radius greater than 12 \AA .  Use of a
748   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 Shifted-Force sets, increasing damping results in
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
# Line 568 | Line 780 | a improvement much more significant than what was seen
780   in the previous $\Delta E$ section.  The unmodified cutoff results are
781   poor, but using group based cutoffs and a switching function provides
782   a improvement much more significant than what was seen with $\Delta
783 < E$.  Looking at the Shifted-Potential sets, the slope and $R^2$
783 > E$.  Looking at the {\sc sp} sets, the slope and $R^2$
784   improve with the use of damping to an optimal result of 0.2 \AA
785   $^{-1}$ for the 12 and 15 \AA\ cutoffs.  Further increases in damping,
786   while beneficial for simulations with a cutoff radius of 9 \AA\ , is
787   detrimental to simulations with larger cutoff radii.  The undamped
788 < Shifted-Force method gives forces in line with those obtained using
788 > {\sc sf} method gives forces in line with those obtained using
789   SPME, and use of a damping function results in minor improvement.  The
790   reaction field results are surprisingly good, considering the poor
791   quality of the fits for the $\Delta E$ results.  There is still a
# Line 596 | Line 808 | the improved behavior that comes with increasing the c
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 Shifted-Potential and helpful
812 < yet possibly unnecessary with the Shifted-Force method, and they also
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
# Line 626 | Line 838 | of the distribution widths, with a similar improvement
838   show the improvement afforded by choosing a longer simulation cutoff.
839   Increasing the cutoff from 9 to 12 \AA\ typically results in a halving
840   of the distribution widths, with a similar improvement going from 12
841 < to 15 \AA .  The undamped Shifted-Force, Group Based Cutoff, and
841 > to 15 \AA .  The undamped {\sc sf}, Group Based Cutoff, and
842   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 Shifted-Potential
845 < and moderately for the Shifted-Force methods.  Increasing the 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
# Line 672 | Line 884 | Although not discussed previously, group based cutoffs
884   \end{table}
885  
886   Although not discussed previously, group based cutoffs can be applied
887 < to both the Shifted-Potential and Shifted-Force methods.  Use off a
887 > to both the {\sc sp} and {\sc sf} methods.  Use off a
888   switching function corrects for the discontinuities that arise when
889   atoms of a group exit the cutoff before the group's center of mass.
890   Though there are no significant benefit or drawbacks observed in
# Line 681 | Line 893 | results seen in figure \ref{fig:frcTrqAng} for compari
893   \ref{tab:groupAngle} shows the angular variance values obtained using
894   group based cutoffs and a switching function alongside the standard
895   results seen in figure \ref{fig:frcTrqAng} for comparison purposes.
896 < The Shifted-Potential shows much narrower angular distributions for
896 > The {\sc sp} shows much narrower angular distributions for
897   both the force and torque vectors when using an $\alpha$ of 0.2
898 < \AA$^{-1}$ or less, while Shifted-Force shows improvements in the
898 > \AA$^{-1}$ or less, while {\sc sf} shows improvements in the
899   undamped and lightly damped cases.  Thus, by calculating the
900   electrostatic interactions in terms of molecular pairs rather than
901   atomic pairs, the direction of the force and torque vectors are
902   determined more accurately.
903  
904   One additional trend to recognize in table \ref{tab:groupAngle} is
905 < that the $\sigma^2$ values for both Shifted-Potential and
906 < Shifted-Force converge as $\alpha$ increases, something that is easier
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
# Line 710 | Line 922 | up to 0.2 \AA$^{-1}$ proves to be beneficial, but damp
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 Shifted-Force method.
925 > unnecessary when using the {\sc sf} method.
926  
927 < \subsection{Collective Motion: Power Spectra of NaCl Crystals}
927 > \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
928  
929 < In the previous studies using a Shifted-Force variant of the damped
929 > In the previous studies using a {\sc sf} variant of the damped
930   Wolf coulomb potential, the structure and dynamics of water were
931   investigated rather extensively.\cite{Zahn02,Kast03} Their results
932 < indicated that the damped Shifted-Force method results in properties
932 > indicated that the damped {\sc sf} method results in properties
933   very similar to those obtained when using the Ewald summation.
934   Considering the statistical results shown above, the good performance
935   of this method is not that surprising.  Rather than consider the same
# Line 727 | Line 939 | summation methods from the above results.
939  
940   \begin{figure}
941   \centering
942 + \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
943 + \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.}
944 + \label{fig:vCorrPlot}
945 + \end{figure}
946 +
947 + The short-time decays through the first collision are nearly identical
948 + in figure \ref{fig:vCorrPlot}, but the peaks and troughs of the
949 + functions show how the methods differ.  The undamped {\sc sf} method
950 + has deeper troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher
951 + peaks than any of the other methods.  As the damping function is
952 + increased, these peaks are smoothed out, and approach the SPME
953 + curve. The damping acts as a distance dependent Gaussian screening of
954 + the point charges for the pairwise summation methods; thus, the
955 + collisions are more elastic in the undamped {\sc sf} potential, and the
956 + stiffness of the potential is diminished as the electrostatic
957 + interactions are softened by the damping function.  With $\alpha$
958 + values of 0.2 \AA$^{-1}$, the {\sc sf} and {\sc sp} functions are
959 + nearly identical and track the SPME features quite well.  This is not
960 + too surprising in that the differences between the {\sc sf} and {\sc
961 + 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.
964 +
965 + \subsection{Collective Motion: Power Spectra of NaCl Crystals}
966 +
967 + The short time dynamics were extended to evaluate how the differences
968 + between the methods affect the collective long-time motion.  The same
969 + electrostatic summation methods were used as in the short time
970 + velocity autocorrelation function evaluation, but the trajectories
971 + were sampled over a much longer time. The power spectra of the
972 + resulting velocity autocorrelation functions were calculated and are
973 + displayed in figure \ref{fig:methodPS}.
974 +
975 + \begin{figure}
976 + \centering
977   \includegraphics[width = \linewidth]{./spectraSquare.pdf}
978 < \caption{Power spectra obtained from the velocity auto-correlation functions of NaCl crystals at 1000 K while using SPME, Shifted-Force ($\alpha$ = 0, 0.1, \& 0.2), and Shifted-Potential ($\alpha$ = 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.}
978 > \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.}
979   \label{fig:methodPS}
980   \end{figure}
981  
982 < Figure \ref{fig:methodPS} shows the power spectra for the NaCl
983 < crystals (from averaged Na and Cl ion velocity autocorrelation
984 < functions) using the stated electrostatic summation methods.  While
985 < high frequency peaks of all the spectra overlap, showing the same
986 < general features, the low frequency region shows how the summation
987 < methods differ.  Considering the low-frequency inset (expanded in the
988 < upper frame of figure \ref{fig:dampInc}), at frequencies below 100
989 < cm$^{-1}$, the correlated motions are blue-shifted when using undamped
990 < or weakly damped Shifted-Force.  When using moderate damping ($\alpha
991 < = 0.2$ \AA$^{-1}$) both the Shifted-Force and Shifted-Potential
992 < methods give near identical correlated motion behavior as the Ewald
993 < method (which has a damping value of 0.3119).  The damping acts as a
994 < distance dependent Gaussian screening of the point charges for the
995 < pairwise summation methods.  This weakening of the electrostatic
996 < interaction with distance explains why the long-ranged correlated
750 < motions are at lower frequencies for the moderately damped methods
751 < than for undamped or weakly damped methods.  To see this effect more
752 < clearly, we show how damping strength affects a simple real-space
753 < electrostatic potential,
982 > While high frequency peaks of the spectra in this figure overlap,
983 > showing the same general features, the low frequency region shows how
984 > the summation methods differ.  Considering the low-frequency inset
985 > (expanded in the upper frame of figure \ref{fig:dampInc}), at
986 > frequencies below 100 cm$^{-1}$, the correlated motions are
987 > blue-shifted when using undamped or weakly damped {\sc sf}.  When
988 > using moderate damping ($\alpha = 0.2$ \AA$^{-1}$) both the {\sc sf}
989 > and {\sc sp} methods give near identical correlated motion behavior as
990 > the Ewald method (which has a damping value of 0.3119).  This
991 > weakening of the electrostatic interaction with increased damping
992 > explains why the long-ranged correlated motions are at lower
993 > frequencies for the moderately damped methods than for undamped or
994 > weakly damped methods.  To see this effect more clearly, we show how
995 > damping strength alone affects a simple real-space electrostatic
996 > potential,
997   \begin{equation}
998 < V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r_{ij}})}{r_{ij}}\right]S(r),
998 > V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r})}{r}\right]S(r),
999   \end{equation}
1000   where $S(r)$ is a switching function that smoothly zeroes the
1001   potential at the cutoff radius.  Figure \ref{fig:dampInc} shows how
# Line 765 | Line 1008 | blue-shifted such that the lowest frequency peak resid
1008   shift to higher frequency in exponential fashion.  Though not shown,
1009   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 Shifted-Force
1012 < method producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is
1013 < quite respectable; however, it appears as though moderate damping is
1014 < required for accurate reproduction of crystal dynamics.
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.
1017   \begin{figure}
1018   \centering
1019   \includegraphics[width = \linewidth]{./comboSquare.pdf}
1020 < \caption{Upper: Zoomed inset from figure \ref{fig:methodPS}.  As the damping value for the Shifted-Force potential increases, the low-frequency peaks red-shift.  Lower: Low-frequency correlated motions for NaCl crystals at 1000 K 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.}
1020 > \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.}
1021   \label{fig:dampInc}
1022   \end{figure}
1023  
# Line 783 | Line 1028 | Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular
1028   electrostatic summation techniques than the Ewald summation, chiefly
1029   methods derived from the damped Coulombic sum originally proposed by
1030   Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular, the
1031 < Shifted-Force method, reformulated above as equation \ref{eq:SFPot},
1031 > {\sc sf} method, reformulated above as eq. (\ref{eq:DSFPot}),
1032   shows a remarkable ability to reproduce the energetic and dynamic
1033   characteristics exhibited by simulations employing lattice summation
1034   techniques.  The cumulative energy difference results showed the
1035 < undamped Shifted-Force and moderately damped Shifted-Potential methods
1035 > undamped {\sc sf} and moderately damped {\sc sp} methods
1036   produced results nearly identical to SPME.  Similarly for the dynamic
1037 < features, the undamped or moderately damped Shifted-Force and
1038 < moderately damped Shifted-Potential methods produce force and torque
1037 > features, the undamped or moderately damped {\sc sf} and
1038 > moderately damped {\sc sp} methods produce force and torque
1039   vector magnitude and directions very similar to the expected values.
1040   These results translate into long-time dynamic behavior equivalent to
1041   that produced in simulations using SPME.
# Line 812 | Line 1057 | today, the Ewald summation may no longer be required t
1057   standard by which these simple pairwise sums are judged.  However,
1058   these results do suggest that in the typical simulations performed
1059   today, the Ewald summation may no longer be required to obtain the
1060 < level of accuracy most researcher have come to expect
1060 > level of accuracy most researchers have come to expect
1061  
1062   \section{Acknowledgments}
1063   \newpage

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