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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 65 | Line 65 | In molecular simulations, proper accumulation of the e
65   \section{Introduction}
66  
67   In molecular simulations, proper accumulation of the electrostatic
68 < interactions is considered one of the most essential and
69 < computationally demanding tasks.  The common molecular mechanics force
70 < fields are founded on representation of the atomic sites centered on
71 < full or partial charges shielded by Lennard-Jones type interactions.
72 < This means that nearly every pair interaction involves an
73 < charge-charge calculation.  Coupled with $r^{-1}$ decay, the monopole
74 < interactions quickly become a burden for molecular systems of all
75 < sizes.  For example, in small systems, the electrostatic pair
76 < interaction may not have decayed appreciably within the box length
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.
68 > interactions is essential and is one of the most
69 > computationally-demanding tasks.  The common molecular mechanics force
70 > fields represent atomic sites with full or partial charges protected
71 > by Lennard-Jones (short range) interactions.  This means that nearly
72 > every pair interaction involves a calculation of charge-charge forces.
73 > Coupled with relatively long-ranged $r^{-1}$ decay, the monopole
74 > interactions quickly become the most expensive part of molecular
75 > simulations.  Historically, the electrostatic pair interaction would
76 > not have decayed appreciably within the typical box lengths that could
77 > be feasibly simulated.  In the larger systems that are more typical of
78 > modern simulations, large cutoffs should be used to incorporate
79 > electrostatics correctly.
80  
81 + There have been many efforts to address the proper and practical
82 + handling of electrostatic interactions, and these have resulted in a
83 + variety of techniques.\cite{Roux99,Sagui99,Tobias01} These are
84 + typically classified as implicit methods (i.e., continuum dielectrics,
85 + static dipolar fields),\cite{Born20,Grossfield00} explicit methods
86 + (i.e., Ewald summations, interaction shifting or
87 + truncation),\cite{Ewald21,Steinbach94} or a mixture of the two (i.e.,
88 + reaction field type methods, fast multipole
89 + methods).\cite{Onsager36,Rokhlin85} The explicit or mixed methods are
90 + often preferred because they physically incorporate solvent molecules
91 + in the system of interest, but these methods are sometimes difficult
92 + to utilize because of their high computational cost.\cite{Roux99} In
93 + addition to the computational cost, there have been some questions
94 + regarding possible artifacts caused by the inherent periodicity of the
95 + explicit Ewald summation.\cite{Tobias01}
96 +
97 + In this paper, we focus on a new set of shifted methods devised by
98 + Wolf {\it et al.},\cite{Wolf99} which we further extend.  These
99 + methods along with a few other mixed methods (i.e. reaction field) are
100 + compared with the smooth particle mesh Ewald
101 + sum,\cite{Onsager36,Essmann99} which is our reference method for
102 + handling long-range electrostatic interactions. The new methods for
103 + handling electrostatics have the potential to scale linearly with
104 + increasing system size since they involve only a simple modification
105 + to the direct pairwise sum.  They also lack the added periodicity of
106 + the Ewald sum, so they can be used for systems which are non-periodic
107 + or which have one- or two-dimensional periodicity.  Below, these
108 + methods are evaluated using a variety of model systems 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 (cubic) simulation box as well as those
115 > in the 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 the solution to Poisson's equation
127 > ($\phi(\mathbf{r}_{ij}) = q_i q_j |\mathbf{r}_{ij}|^{-1}$ for
128 > charge-charge interactions). In the case of monopole electrostatics,
129 > eq. (\ref{eq:PBCSum}) is conditionally convergent and is divergent for
130 > non-neutral systems.
131 >
132 > The electrostatic summation problem was originally studied by Ewald
133 > for the case of an infinite crystal.\cite{Ewald21}. The approach he
134 > took was to convert this conditionally convergent sum into two
135 > absolutely convergent summations: a short-ranged real-space summation
136 > and a long-ranged reciprocal-space summation,
137 > \begin{equation}
138 > \begin{split}
139 > 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,
140 > \end{split}
141 > \label{eq:EwaldSum}
142 > \end{equation}
143 > where $\alpha$ is the damping or convergence parameter with units of
144 > \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and are equal to
145 > $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
146 > constant of the surrounding medium. The final two terms of
147 > eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
148 > for interacting with a surrounding dielectric.\cite{Allen87} This
149 > dipolar term was neglected in early applications in molecular
150 > simulations,\cite{Brush66,Woodcock71} until it was introduced by de
151 > Leeuw {\it et al.} to address situations where the unit cell has a
152 > dipole moment which is magnified through replication of the periodic
153 > images.\cite{deLeeuw80,Smith81} If this term is taken to be zero, the
154 > system is said to be using conducting (or ``tin-foil'') boundary
155 > conditions, $\epsilon_{\rm S} = \infty$. Figure
156 > \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
157 > time.  Initially, due to the small sizes of the systems that could be
158 > feasibly simulated, the entire simulation box was replicated to
159 > convergence.  In more modern simulations, the simulation boxes have
160 > grown large enough that a real-space cutoff could potentially give
161 > convergent behavior.  Indeed, it has often been observed that the
162 > reciprocal-space portion of the Ewald sum can be small and rapidly
163 > convergent compared to the real-space portion with the choice of small
164 > $\alpha$.\cite{Karasawa89,Kolafa92}
165  
166   \begin{figure}
167   \centering
# Line 96 | Line 176 | a surrounding dielectric term is included.}
176   \label{fig:ewaldTime}
177   \end{figure}
178  
179 + The original Ewald summation is an $\mathscr{O}(N^2)$ algorithm.  The
180 + convergence parameter $(\alpha)$ plays an important role in balancing
181 + the computational cost between the direct and reciprocal-space
182 + portions of the summation.  The choice of this value allows one to
183 + select whether the real-space or reciprocal space portion of the
184 + summation is an $\mathscr{O}(N^2)$ calculation (with the other being
185 + $\mathscr{O}(N)$).\cite{Sagui99} With the appropriate choice of
186 + $\alpha$ and thoughtful algorithm development, this cost can be
187 + reduced to $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route
188 + taken to reduce the cost of the Ewald summation even further is to set
189 + $\alpha$ such that the real-space interactions decay rapidly, allowing
190 + for a short spherical cutoff. Then the reciprocal space summation is
191 + optimized.  These optimizations usually involve utilization of the
192 + fast Fourier transform (FFT),\cite{Hockney81} leading to the
193 + particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
194 + methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
195 + methods, the cost of the reciprocal-space portion of the Ewald
196 + summation is reduced from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N
197 + \log N)$.
198 +
199 + These developments and optimizations have made the use of the Ewald
200 + summation routine in simulations with periodic boundary
201 + conditions. However, in certain systems, such as vapor-liquid
202 + interfaces and membranes, the intrinsic three-dimensional periodicity
203 + can prove problematic.  The Ewald sum has been reformulated to handle
204 + 2D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the
205 + new methods are computationally expensive.\cite{Spohr97,Yeh99}
206 + Inclusion of a correction term in the Ewald summation is a possible
207 + direction for handling 2D systems while still enabling the use of the
208 + modern optimizations.\cite{Yeh99}
209 +
210 + Several studies have recognized that the inherent periodicity in the
211 + Ewald sum can also have an effect on three-dimensional
212 + systems.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
213 + Solvated proteins are essentially kept at high concentration due to
214 + the periodicity of the electrostatic summation method.  In these
215 + systems, the more compact folded states of a protein can be
216 + artificially stabilized by the periodic replicas introduced by the
217 + Ewald summation.\cite{Weber00} Thus, care must be taken when
218 + considering the use of the Ewald summation where the assumed
219 + periodicity would introduce spurious effects in the system dynamics.
220 +
221   \subsection{The Wolf and Zahn Methods}
222   In a recent paper by Wolf \textit{et al.}, a procedure was outlined
223   for the accurate accumulation of electrostatic interactions in an
224 < efficient pairwise fashion.\cite{Wolf99} Wolf \textit{et al.} observed
225 < that the electrostatic interaction is effectively short-ranged in
226 < condensed phase systems and that neutralization of the charge
227 < contained within the cutoff radius is crucial for potential
224 > efficient pairwise fashion.  This procedure lacks the inherent
225 > periodicity of the Ewald summation.\cite{Wolf99} Wolf \textit{et al.}
226 > observed that the electrostatic interaction is effectively
227 > short-ranged in condensed phase systems and that neutralization of the
228 > charge contained within the cutoff radius is crucial for potential
229   stability. They devised a pairwise summation method that ensures
230 < charge neutrality and gives results similar to those obtained with
231 < the Ewald summation.  The resulting shifted Coulomb potential
230 > charge neutrality and gives results similar to those obtained with the
231 > Ewald summation.  The resulting shifted Coulomb potential
232   (Eq. \ref{eq:WolfPot}) includes image-charges subtracted out through
233   placement on the cutoff sphere and a distance-dependent damping
234   function (identical to that seen in the real-space portion of the
235   Ewald sum) to aid convergence
236   \begin{equation}
237 < 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\}.
237 > 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\}.
238   \label{eq:WolfPot}
239   \end{equation}
240   Eq. (\ref{eq:WolfPot}) is essentially the common form of a shifted
# Line 126 | Line 249 | procedure gives an expression for the forces,
249   derivative of this potential prior to evaluation of the limit.  This
250   procedure gives an expression for the forces,
251   \begin{equation}
252 < 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\},
252 > 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\},
253   \label{eq:WolfForces}
254   \end{equation}
255   that incorporates both image charges and damping of the electrostatic
# Line 136 | Line 259 | the potential are not commensurate.  Attempts to use b
259   force expressions for use in simulations involving water.\cite{Zahn02}
260   In their work, they pointed out that the forces and derivative of
261   the potential are not commensurate.  Attempts to use both
262 < Eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
262 > eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
263   to poor energy conservation.  They correctly observed that taking the
264   limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
265   derivatives gives forces for a different potential energy function
266 < than the one shown in Eq. (\ref{eq:WolfPot}).
266 > than the one shown in eq. (\ref{eq:WolfPot}).
267  
268 < Zahn \textit{et al.} proposed a modified form of this ``Wolf summation
269 < method'' as a way to use this technique in Molecular Dynamics
270 < simulations.  Taking the integral of the forces shown in equation
148 < \ref{eq:WolfForces}, they proposed a new damped Coulomb
149 < potential,
268 > Zahn \textit{et al.} introduced a modified form of this summation
269 > method as a way to use the technique in Molecular Dynamics
270 > simulations.  They proposed a new damped Coulomb potential,
271   \begin{equation}
272 < 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\}.
272 > 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\},
273   \label{eq:ZahnPot}
274   \end{equation}
275 < They showed that this potential does fairly well at capturing the
275 > and showed that this potential does fairly well at capturing the
276   structural and dynamic properties of water compared the same
277   properties obtained using the Ewald sum.
278  
# Line 182 | Line 303 | shifted potential,
303   \textit{et al.}  and Zahn \textit{et al.} by considering the standard
304   shifted potential,
305   \begin{equation}
306 < v_\textrm{SP}(r) =      \begin{cases}
306 > V_\textrm{SP}(r) =      \begin{cases}
307   v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
308   R_\textrm{c}  
309   \end{cases},
# Line 190 | Line 311 | and shifted force,
311   \end{equation}
312   and shifted force,
313   \begin{equation}
314 < v_\textrm{SF}(r) =      \begin{cases}
314 > V_\textrm{SF}(r) =      \begin{cases}
315   v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
316   &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
317                                                  \end{cases},
# Line 206 | Line 327 | of the unshifted potential itself (when inside the cut
327   The forces associated with the shifted potential are simply the forces
328   of the unshifted potential itself (when inside the cutoff sphere),
329   \begin{equation}
330 < F_{\textrm{SP}} = \left( \frac{d v(r)}{dr} \right),
330 > F_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
331   \end{equation}
332   and are zero outside.  Inside the cutoff sphere, the forces associated
333   with the shifted force form can be written,
334   \begin{equation}
335 < F_{\textrm{SF}} = \left( \frac{d v(r)}{dr} \right) - \left(\frac{d
335 > F_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
336   v(r)}{dr} \right)_{r=R_\textrm{c}}.
337   \end{equation}
338  
339 < If the potential ($v(r)$) is taken to be the normal Coulomb potential,
339 > If the potential, $v(r)$, is taken to be the normal Coulomb potential,
340   \begin{equation}
341   v(r) = \frac{q_i q_j}{r},
342   \label{eq:Coulomb}
# Line 226 | Line 347 | r\leqslant R_\textrm{c},
347   V_\textrm{SP}(r) =
348   q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
349   r\leqslant R_\textrm{c},
350 < \label{eq:WolfSP}
350 > \label{eq:SPPot}
351   \end{equation}
352   with associated forces,
353   \begin{equation}
354 < F_\textrm{SP}(r) = q_iq_j\left(-\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
355 < \label{eq:FWolfSP}
354 > F_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
355 > \label{eq:SPForces}
356   \end{equation}
357   These forces are identical to the forces of the standard Coulomb
358   interaction, and cutting these off at $R_c$ was addressed by Wolf
# Line 250 | Line 371 | with associated forces,
371   \end{equation}
372   with associated forces,
373   \begin{equation}
374 < 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}.
374 > 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}.
375   \label{eq:SFForces}
376   \end{equation}
377   This formulation has the benefits that there are no discontinuities at
378 < the cutoff distance, while the neutralizing image charges are present
379 < in both the energy and force expressions.  It would be simple to add
380 < the self-neutralizing term back when computing the total energy of the
378 > the cutoff radius, while the neutralizing image charges are present in
379 > both the energy and force expressions.  It would be simple to add the
380 > self-neutralizing term back when computing the total energy of the
381   system, thereby maintaining the agreement with the Madelung energies.
382   A side effect of this treatment is the alteration in the shape of the
383   potential that comes from the derivative term.  Thus, a degree of
# Line 264 | Line 385 | Wolf \textit{et al.} originally discussed the energeti
385   to gain functionality in dynamics simulations.
386  
387   Wolf \textit{et al.} originally discussed the energetics of the
388 < shifted Coulomb potential (Eq. \ref{eq:WolfSP}), and they found that
389 < it was still insufficient for accurate determination of the energy
390 < with reasonable cutoff distances.  The calculated Madelung energies
391 < fluctuate around the expected value with increasing cutoff radius, but
392 < the oscillations converge toward the correct value.\cite{Wolf99} A
388 > shifted Coulomb potential (Eq. \ref{eq:SPPot}) and found that it was
389 > insufficient for accurate determination of the energy with reasonable
390 > cutoff distances.  The calculated Madelung energies fluctuated around
391 > the expected value as the cutoff radius was increased, but the
392 > oscillations converged toward the correct value.\cite{Wolf99} A
393   damping function was incorporated to accelerate the convergence; and
394 < though alternative functional forms could be
394 > though alternative forms for the damping function could be
395   used,\cite{Jones56,Heyes81} the complimentary error function was
396   chosen to mirror the effective screening used in the Ewald summation.
397   Incorporating this error function damping into the simple Coulomb
# Line 279 | Line 400 | v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
400   v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
401   \label{eq:dampCoulomb}
402   \end{equation}
403 < the shifted potential (Eq. (\ref{eq:WolfSP})) can be recovered
283 < using eq. (\ref{eq:shiftingForm}),
403 > the shifted potential (eq. (\ref{eq:SPPot})) becomes
404   \begin{equation}
405 < v_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}(\alpha r)}{r}-\frac{\textrm{erfc}(\alpha R_\textrm{c})}{R_\textrm{c}}\right) \quad r\leqslant R_\textrm{c},
405 > 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},
406   \label{eq:DSPPot}
407   \end{equation}
408   with associated forces,
409   \begin{equation}
410 < f_{\textrm{DSP}}(r) = q_iq_j\left(-\frac{\textrm{erfc}(\alpha r)}{r^2}-\frac{2\alpha}{\pi^{1/2}}\frac{\exp{(-\alpha^2r^2)}}{r}\right) \quad r\leqslant R_\textrm{c}.
410 > 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}.
411   \label{eq:DSPForces}
412   \end{equation}
413 < Again, this damped shifted potential suffers from a discontinuity and
414 < a lack of the image charges in the forces.  To remedy these concerns,
415 < one may derive a {\sc sf} variant by including  the derivative
416 < term in eq. (\ref{eq:shiftingForm}),
413 > Again, this damped shifted potential suffers from a
414 > force-discontinuity at the cutoff radius, and the image charges play
415 > no role in the forces.  To remedy these concerns, one may derive a
416 > {\sc sf} variant by including the derivative term in
417 > eq. (\ref{eq:shiftingForm}),
418   \begin{equation}
419   \begin{split}
420 < 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}.
420 > 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}.
421   \label{eq:DSFPot}
422   \end{split}
423   \end{equation}
424 < The derivative of the above potential gives the following forces,
424 > The derivative of the above potential will lead to the following forces,
425   \begin{equation}
426   \begin{split}
427 < f_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&-\left(\frac{\textrm{erfc}(\alpha r)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{(-\alpha^2r^2)}}{r}\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\leqslant R_\textrm{c}.
427 > 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}.
428   \label{eq:DSFForces}
429   \end{split}
430   \end{equation}
431 + If the damping parameter $(\alpha)$ is set to zero, the undamped case,
432 + eqs. (\ref{eq:SPPot} through \ref{eq:SFForces}) are correctly
433 + recovered from eqs. (\ref{eq:DSPPot} through \ref{eq:DSFForces}).
434  
435 < This new {\sc sf} potential is similar to equation
436 < \ref{eq:ZahnPot} derived by Zahn \textit{et al.}; however, there are
437 < two important differences.\cite{Zahn02} First, the $v_\textrm{c}$ term
438 < from eq. (\ref{eq:shiftingForm}) is equal to
439 < eq. (\ref{eq:dampCoulomb}) with $r$ replaced by $R_\textrm{c}$.  This
440 < term is {\it not} present in the Zahn potential, resulting in a
441 < potential discontinuity as particles cross $R_\textrm{c}$.  Second,
442 < the sign of the derivative portion is different.  The missing
443 < $v_\textrm{c}$ term would not affect molecular dynamics simulations
444 < (although the computed energy would be expected to have sudden jumps
445 < as particle distances crossed $R_c$).  The sign problem would be a
446 < potential source of errors, however.  In fact, it introduces a
447 < discontinuity in the forces at the cutoff, because the force function
448 < is shifted in the wrong direction and doesn't cross zero at
325 < $R_\textrm{c}$.  
435 > This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
436 > derived by Zahn \textit{et al.}; however, there are two important
437 > differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from
438 > eq. (\ref{eq:shiftingForm}) is equal to eq. (\ref{eq:dampCoulomb})
439 > with $r$ replaced by $R_\textrm{c}$.  This term is {\it not} present
440 > in the Zahn potential, resulting in a potential discontinuity as
441 > particles cross $R_\textrm{c}$.  Second, the sign of the derivative
442 > portion is different.  The missing $v_\textrm{c}$ term would not
443 > affect molecular dynamics simulations (although the computed energy
444 > would be expected to have sudden jumps as particle distances crossed
445 > $R_c$).  The sign problem is a potential source of errors, however.
446 > In fact, it introduces a discontinuity in the forces at the cutoff,
447 > because the force function is shifted in the wrong direction and
448 > doesn't cross zero at $R_\textrm{c}$.
449  
450   Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
451 < electrostatic summation method that is continuous in both the
452 < potential and forces and which incorporates the damping function
453 < proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of this
454 < paper, we will evaluate exactly how good these methods ({\sc sp}, {\sc
455 < sf}, damping) are at reproducing the correct electrostatic summation
456 < performed by the Ewald sum.
451 > electrostatic summation method in which the potential and forces are
452 > continuous at the cutoff radius and which incorporates the damping
453 > function proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of
454 > this paper, we will evaluate exactly how good these methods ({\sc sp},
455 > {\sc sf}, damping) are at reproducing the correct electrostatic
456 > summation performed by the Ewald sum.
457  
458   \subsection{Other alternatives}
459 < In addition to the methods described above, we will consider some
460 < other techniques that commonly get used in molecular simulations.  The
459 > In addition to the methods described above, we considered some other
460 > techniques that are commonly used in molecular simulations.  The
461   simplest of these is group-based cutoffs.  Though of little use for
462 < non-neutral molecules, collecting atoms into neutral groups takes
462 > charged molecules, collecting atoms into neutral groups takes
463   advantage of the observation that the electrostatic interactions decay
464   faster than those for monopolar pairs.\cite{Steinbach94} When
465 < considering these molecules as groups, an orientational aspect is
466 < introduced to the interactions.  Consequently, as these molecular
467 < particles move through $R_\textrm{c}$, the energy will drift upward
468 < due to the anisotropy of the net molecular dipole
469 < interactions.\cite{Rahman71} To maintain good energy conservation,
470 < both the potential and derivative need to be smoothly switched to zero
471 < at $R_\textrm{c}$.\cite{Adams79} This is accomplished using a
472 < switching function,
473 < \begin{equation}
474 < S(r) = \begin{cases} 1 &\quad r\leqslant r_\textrm{sw} \\
352 < \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} \\
353 < 0 &\quad r>R_\textrm{c}
354 < \end{cases},
355 < \end{equation}
356 < where the above form is for a cubic function.  If a smooth second
357 < derivative is desired, a fifth (or higher) order polynomial can be
358 < used.\cite{Andrea83}
465 > considering these molecules as neutral groups, the relative
466 > orientations of the molecules control the strength of the interactions
467 > at the cutoff radius.  Consequently, as these molecular particles move
468 > through $R_\textrm{c}$, the energy will drift upward due to the
469 > anisotropy of the net molecular dipole interactions.\cite{Rahman71} To
470 > maintain good energy conservation, both the potential and derivative
471 > need to be smoothly switched to zero at $R_\textrm{c}$.\cite{Adams79}
472 > This is accomplished using a standard switching function.  If a smooth
473 > second derivative is desired, a fifth (or higher) order polynomial can
474 > be used.\cite{Andrea83}
475  
476   Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
477 < and to incorporate their effect, a method like Reaction Field ({\sc
478 < rf}) can be used.  The orignal theory for {\sc rf} was originally
479 < developed by Onsager,\cite{Onsager36} and it was applied in
480 < simulations for the study of water by Barker and Watts.\cite{Barker73}
481 < In application, it is simply an extension of the group-based cutoff
482 < method where the net dipole within the cutoff sphere polarizes an
483 < external dielectric, which reacts back on the central dipole.  The
484 < same switching function considerations for group-based cutoffs need to
485 < made for {\sc rf}, with the additional prespecification of a
486 < dielectric constant.
477 > and to incorporate the effects of the surroundings, a method like
478 > Reaction Field ({\sc rf}) can be used.  The original theory for {\sc
479 > rf} was originally developed by Onsager,\cite{Onsager36} and it was
480 > applied in simulations for the study of water by Barker and
481 > Watts.\cite{Barker73} In modern simulation codes, {\sc rf} is simply
482 > an extension of the group-based cutoff method where the net dipole
483 > within the cutoff sphere polarizes an external dielectric, which
484 > reacts back on the central dipole.  The same switching function
485 > considerations for group-based cutoffs need to made for {\sc rf}, with
486 > the additional pre-specification of a dielectric constant.
487  
488   \section{Methods}
489  
# Line 377 | Line 493 | particle sites, but they use these summations in diffe
493   techniques utilize pairwise summations of interactions between
494   particle sites, but they use these summations in different ways.
495  
496 < In MC, the potential energy difference between two subsequent
497 < configurations dictates the progression of MC sampling.  Going back to
498 < the origins of this method, the acceptance criterion for the canonical
499 < ensemble laid out by Metropolis \textit{et al.} states that a
500 < subsequent configuration is accepted if $\Delta E < 0$ or if $\xi <
501 < \exp(-\Delta E/kT)$, where $\xi$ is a random number between 0 and
502 < 1.\cite{Metropolis53} Maintaining the correct $\Delta E$ when using an
503 < alternate method for handling the long-range electrostatics will
504 < ensure proper sampling from the ensemble.
496 > In MC, the potential energy difference between configurations dictates
497 > the progression of MC sampling.  Going back to the origins of this
498 > method, the acceptance criterion for the canonical ensemble laid out
499 > by Metropolis \textit{et al.} states that a subsequent configuration
500 > is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta E/kT)$, where
501 > $\xi$ is a random number between 0 and 1.\cite{Metropolis53}
502 > Maintaining the correct $\Delta E$ when using an alternate method for
503 > handling the long-range electrostatics will ensure proper sampling
504 > from the ensemble.
505  
506   In MD, the derivative of the potential governs how the system will
507   progress in time.  Consequently, the force and torque vectors on each
# Line 398 | Line 514 | vectors will diverge from each other more rapidly.
514   vectors will diverge from each other more rapidly.
515  
516   \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
517 +
518   The pairwise summation techniques (outlined in section
519   \ref{sec:ESMethods}) were evaluated for use in MC simulations by
520   studying the energy differences between conformations.  We took the
521   SPME-computed energy difference between two conformations to be the
522   correct behavior. An ideal performance by an alternative method would
523 < reproduce these energy differences exactly.  Since none of the methods
524 < provide exact energy differences, we used linear least squares
525 < regressions of the $\Delta E$ values between configurations using SPME
526 < against $\Delta E$ values using tested methods provides a quantitative
527 < comparison of this agreement.  Unitary results for both the
528 < correlation and correlation coefficient for these regressions indicate
529 < equivalent energetic results between the method under consideration
530 < and electrostatics handled using SPME.  Sample correlation plots for
531 < two alternate methods are shown in Fig. \ref{fig:linearFit}.
523 > reproduce these energy differences exactly (even if the absolute
524 > energies calculated by the methods are different).  Since none of the
525 > methods provide exact energy differences, we used linear least squares
526 > regressions of energy gap data to evaluate how closely the methods
527 > mimicked the Ewald energy gaps.  Unitary results for both the
528 > correlation (slope) and correlation coefficient for these regressions
529 > indicate perfect agreement between the alternative method and SPME.
530 > Sample correlation plots for two alternate methods are shown in
531 > Fig. \ref{fig:linearFit}.
532  
533   \begin{figure}
534   \centering
535   \includegraphics[width = \linewidth]{./dualLinear.pdf}
536 < \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.}
537 < \label{fig:linearFit}
536 > \caption{Example least squares regressions of the configuration energy
537 > differences for SPC/E water systems. The upper plot shows a data set
538 > with a poor correlation coefficient ($R^2$), while the lower plot
539 > shows a data set with a good correlation coefficient.}
540 > \label{fig:linearFit}
541   \end{figure}
542  
543   Each system type (detailed in section \ref{sec:RepSims}) was
544   represented using 500 independent configurations.  Additionally, we
545 < used seven different system types, so each of the alternate
545 > used seven different system types, so each of the alternative
546   (non-Ewald) electrostatic summation methods was evaluated using
547   873,250 configurational energy differences.
548  
# Line 452 | Line 572 | between those computed from the particular method and
572   investigated through measurement of the angle ($\theta$) formed
573   between those computed from the particular method and those from SPME,
574   \begin{equation}
575 < \theta_f = \cos^{-1} \hat{f}_\textrm{SPME} \cdot \hat{f}_\textrm{Method},
575 > \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
576   \end{equation}
577 < where $\hat{f}_\textrm{M}$ is the unit vector pointing along the
578 < force vector computed using method $M$.  
579 <
580 < Each of these $\theta$ values was accumulated in a distribution
581 < function, weighted by the area on the unit sphere.  Non-linear
582 < Gaussian fits were used to measure the width of the resulting
583 < distributions.
584 <
585 < \begin{figure}
586 < \centering
587 < \includegraphics[width = \linewidth]{./gaussFit.pdf}
588 < \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.}
589 < \label{fig:gaussian}
590 < \end{figure}
591 <
592 < Figure \ref{fig:gaussian} shows an example distribution with applied
593 < non-linear fits.  The solid line is a Gaussian profile, while the
594 < dotted line is a Voigt profile, a convolution of a Gaussian and a
595 < Lorentzian.  Since this distribution is a measure of angular error
596 < between two different electrostatic summation methods, there is no
597 < {\it a priori} reason for the profile to adhere to any specific shape.
598 < Gaussian fits was used to compare all the tested methods.  The
599 < variance ($\sigma^2$) was extracted from each of these fits and was
600 < used to compare distribution widths.  Values of $\sigma^2$ near zero
601 < indicate vector directions indistinguishable from those calculated
602 < when using the reference method (SPME).
577 > where $\hat{f}_\textrm{M}$ is the unit vector pointing along the force
578 > vector computed using method M.  Each of these $\theta$ values was
579 > accumulated in a distribution function and weighted by the area on the
580 > unit sphere.  Non-linear Gaussian fits were used to measure the width
581 > of the resulting distributions.
582 > %
583 > %\begin{figure}
584 > %\centering
585 > %\includegraphics[width = \linewidth]{./gaussFit.pdf}
586 > %\caption{Sample fit of the angular distribution of the force vectors
587 > %accumulated using all of the studied systems.  Gaussian fits were used
588 > %to obtain values for the variance in force and torque vectors.}
589 > %\label{fig:gaussian}
590 > %\end{figure}
591 > %
592 > %Figure \ref{fig:gaussian} shows an example distribution with applied
593 > %non-linear fits.  The solid line is a Gaussian profile, while the
594 > %dotted line is a Voigt profile, a convolution of a Gaussian and a
595 > %Lorentzian.  
596 > %Since this distribution is a measure of angular error between two
597 > %different electrostatic summation methods, there is no {\it a priori}
598 > %reason for the profile to adhere to any specific shape.
599 > %Gaussian fits was used to compare all the tested methods.  
600 > The variance ($\sigma^2$) was extracted from each of these fits and
601 > was used to compare distribution widths.  Values of $\sigma^2$ near
602 > zero indicate vector directions indistinguishable from those
603 > calculated when using the reference method (SPME).
604  
605   \subsection{Short-time Dynamics}
606  
607 < \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
608 < Evaluation of the long-time dynamics of charged systems was performed
609 < by considering the NaCl crystal system while using a subset of the
610 < best performing pairwise methods.  The NaCl crystal was chosen to
611 < avoid possible complications involving the propagation techniques of
612 < orientational motion in molecular systems.  To enhance the atomic
613 < motion, these crystals were equilibrated at 1000 K, near the
614 < experimental $T_m$ for NaCl.  Simulations were performed under the
615 < microcanonical ensemble, and velocity autocorrelation functions
616 < (Eq. \ref{eq:vCorr}) were computed for each of the trajectories,
607 > The effects of the alternative electrostatic summation methods on the
608 > short-time dynamics of charged systems were evaluated by considering a
609 > NaCl crystal at a temperature of 1000 K.  A subset of the best
610 > performing pairwise methods was used in this comparison.  The NaCl
611 > crystal was chosen to avoid possible complications from the treatment
612 > of orientational motion in molecular systems.  All systems were
613 > started with the same initial positions and velocities.  Simulations
614 > were performed under the microcanonical ensemble, and velocity
615 > autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
616 > of the trajectories,
617   \begin{equation}
618 < C_v(t) = \langle v_i(0)\cdot v_i(t)\rangle.
618 > C_v(t) = \frac{\langle v_i(0)\cdot v_i(t)\rangle}{\langle v_i(0)\cdot v_i(0)\rangle}.
619   \label{eq:vCorr}
620   \end{equation}
621 < Velocity autocorrelation functions require detailed short time data
622 < and long trajectories for good statistics, thus velocity information
623 < was saved every 5 fs over 100 ps trajectories.  The power spectrum
624 < ($I(\omega)$) is obtained via Fourier transform of the autocorrelation
625 < function
626 < \begin{equation}
627 < I(\omega) = \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
621 > Velocity autocorrelation functions require detailed short time data,
622 > thus velocity information was saved every 2 fs over 10 ps
623 > trajectories. Because the NaCl crystal is composed of two different
624 > atom types, the average of the two resulting velocity autocorrelation
625 > functions was used for comparisons.
626 >
627 > \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
628 >
629 > The effects of the same subset of alternative electrostatic methods on
630 > the {\it long-time} dynamics of charged systems were evaluated using
631 > the same model system (NaCl crystals at 1000K).  The power spectrum
632 > ($I(\omega)$) was obtained via Fourier transform of the velocity
633 > autocorrelation function, \begin{equation} I(\omega) =
634 > \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
635   \label{eq:powerSpec}
636   \end{equation}
637 < where the frequency, $\omega=0,\ 1,\ ...,\ N-1$.
637 > where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
638 > NaCl crystal is composed of two different atom types, the average of
639 > the two resulting power spectra was used for comparisons. Simulations
640 > were performed under the microcanonical ensemble, and velocity
641 > information was saved every 5 fs over 100 ps trajectories.
642  
643   \subsection{Representative Simulations}\label{sec:RepSims}
644 < A variety of common and representative simulations were analyzed to
645 < determine the relative effectiveness of the pairwise summation
646 < techniques in reproducing the energetics and dynamics exhibited by
647 < SPME.  The studied systems were as follows:
644 > A variety of representative simulations were analyzed to determine the
645 > relative effectiveness of the pairwise summation techniques in
646 > reproducing the energetics and dynamics exhibited by SPME.  We wanted
647 > to span the space of modern simulations (i.e. from liquids of neutral
648 > molecules to ionic crystals), so the systems studied were:
649   \begin{enumerate}
650 < \item Liquid Water
651 < \item Crystalline Water (Ice I$_\textrm{c}$)
652 < \item NaCl Crystal
653 < \item NaCl Melt
654 < \item Low Ionic Strength Solution of NaCl in Water
655 < \item High Ionic Strength Solution of NaCl in Water
656 < \item 6 \AA\  Radius Sphere of Argon in Water
650 > \item liquid water (SPC/E),\cite{Berendsen87}
651 > \item crystalline water (Ice I$_\textrm{c}$ crystals of SPC/E),
652 > \item NaCl crystals,
653 > \item NaCl melts,
654 > \item a low ionic strength solution of NaCl in water (0.11 M),
655 > \item a high ionic strength solution of NaCl in water (1.1 M), and
656 > \item a 6 \AA\  radius sphere of Argon in water.
657   \end{enumerate}
658   By utilizing the pairwise techniques (outlined in section
659   \ref{sec:ESMethods}) in systems composed entirely of neutral groups,
660 < charged particles, and mixtures of the two, we can comment on possible
661 < system dependence and/or universal applicability of the techniques.
660 > charged particles, and mixtures of the two, we hope to discern under
661 > which conditions it will be possible to use one of the alternative
662 > summation methodologies instead of the Ewald sum.
663  
664 < Generation of the system configurations was dependent on the system
665 < type.  For the solid and liquid water configurations, configuration
666 < snapshots were taken at regular intervals from higher temperature 1000
667 < SPC/E water molecule trajectories and each equilibrated individually.
668 < The solid and liquid NaCl systems consisted of 500 Na+ and 500 Cl-
669 < ions and were selected and equilibrated in the same fashion as the
670 < water systems.  For the low and high ionic strength NaCl solutions, 4
671 < and 40 ions were first solvated in a 1000 water molecule boxes
672 < respectively.  Ion and water positions were then randomly swapped, and
664 > For the solid and liquid water configurations, configurations were
665 > taken at regular intervals from high temperature trajectories of 1000
666 > SPC/E water molecules.  Each configuration was equilibrated
667 > independently at a lower temperature (300~K for the liquid, 200~K for
668 > the crystal).  The solid and liquid NaCl systems consisted of 500
669 > $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
670 > these systems were selected and equilibrated in the same manner as the
671 > water systems.  The equilibrated temperatures were 1000~K for the NaCl
672 > crystal and 7000~K for the liquid. The ionic solutions were made by
673 > solvating 4 (or 40) ions in a periodic box containing 1000 SPC/E water
674 > molecules.  Ion and water positions were then randomly swapped, and
675   the resulting configurations were again equilibrated individually.
676 < Finally, for the Argon/Water "charge void" systems, the identities of
677 < all the SPC/E waters within 6 \AA\ of the center of the equilibrated
678 < water configurations were converted to argon
679 < (Fig. \ref{fig:argonSlice}).
676 > Finally, for the Argon / Water ``charge void'' systems, the identities
677 > of all the SPC/E waters within 6 \AA\ of the center of the
678 > equilibrated water configurations were converted to argon.
679 > %(Fig. \ref{fig:argonSlice}).
680  
681 < \begin{figure}
682 < \centering
683 < \includegraphics[width = \linewidth]{./slice.pdf}
684 < \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.}
549 < \label{fig:argonSlice}
550 < \end{figure}
681 > These procedures guaranteed us a set of representative configurations
682 > from chemically-relevant systems sampled from an appropriate
683 > ensemble. Force field parameters for the ions and Argon were taken
684 > from the force field utilized by {\sc oopse}.\cite{Meineke05}
685  
686 < \subsection{Electrostatic Summation Methods}\label{sec:ESMethods}
687 < Electrostatic summation method comparisons were performed using SPME,
688 < the {\sc sp} and {\sc sf} methods - both with damping
689 < parameters ($\alpha$) of 0.0, 0.1, 0.2, and 0.3 \AA$^{-1}$ (no, weak,
690 < moderate, and strong damping respectively), reaction field with an
691 < infinite dielectric constant, and an unmodified cutoff.  Group-based
692 < cutoffs with a fifth-order polynomial switching function were
693 < necessary for the reaction field simulations and were utilized in the
560 < SP, SF, and pure cutoff methods for comparison to the standard lack of
561 < group-based cutoffs with a hard truncation.  The SPME calculations
562 < were performed using the TINKER implementation of SPME,\cite{Ponder87}
563 < while all other method calculations were performed using the OOPSE
564 < molecular mechanics package.\cite{Meineke05}
686 > %\begin{figure}
687 > %\centering
688 > %\includegraphics[width = \linewidth]{./slice.pdf}
689 > %\caption{A slice from the center of a water box used in a charge void
690 > %simulation.  The darkened region represents the boundary sphere within
691 > %which the water molecules were converted to argon atoms.}
692 > %\label{fig:argonSlice}
693 > %\end{figure}
694  
695 < These methods were additionally evaluated with three different cutoff
696 < radii (9, 12, and 15 \AA) to investigate possible cutoff radius
697 < dependence.  It should be noted that the damping parameter chosen in
698 < SPME, or so called ``Ewald Coefficient", has a significant effect on
699 < the energies and forces calculated.  Typical molecular mechanics
700 < packages default this to a value dependent on the cutoff radius and a
701 < tolerance (typically less than $1 \times 10^{-4}$ kcal/mol).  Smaller
702 < tolerances are typically associated with increased accuracy in the
703 < real-space portion of the summation.\cite{Essmann95} The default
704 < TINKER tolerance of $1 \times 10^{-8}$ kcal/mol was used in all SPME
705 < calculations, resulting in Ewald Coefficients of 0.4200, 0.3119, and
706 < 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\ respectively.
695 > \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
696 > We compared the following alternative summation methods with results
697 > from the reference method (SPME):
698 > \begin{itemize}
699 > \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
700 > and 0.3 \AA$^{-1}$,
701 > \item {\sc sf} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
702 > and 0.3 \AA$^{-1}$,
703 > \item reaction field with an infinite dielectric constant, and
704 > \item an unmodified cutoff.
705 > \end{itemize}
706 > Group-based cutoffs with a fifth-order polynomial switching function
707 > were utilized for the reaction field simulations.  Additionally, we
708 > investigated the use of these cutoffs with the SP, SF, and pure
709 > cutoff.  The SPME electrostatics were performed using the TINKER
710 > implementation of SPME,\cite{Ponder87} while all other method
711 > calculations were performed using the OOPSE molecular mechanics
712 > package.\cite{Meineke05} All other portions of the energy calculation
713 > (i.e. Lennard-Jones interactions) were handled in exactly the same
714 > manner across all systems and configurations.
715  
716 + The althernative methods were also evaluated with three different
717 + cutoff radii (9, 12, and 15 \AA).  As noted previously, the
718 + convergence parameter ($\alpha$) plays a role in the balance of the
719 + real-space and reciprocal-space portions of the Ewald calculation.
720 + Typical molecular mechanics packages set this to a value dependent on
721 + the cutoff radius and a tolerance (typically less than $1 \times
722 + 10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
723 + increased accuracy at the expense of increased time spent calculating
724 + the reciprocal-space portion of the
725 + summation.\cite{Perram88,Essmann95} The default TINKER tolerance of $1
726 + \times 10^{-8}$ kcal/mol was used in all SPME calculations, resulting
727 + in Ewald Coefficients of 0.4200, 0.3119, and 0.2476 \AA$^{-1}$ for
728 + cutoff radii of 9, 12, and 15 \AA\ respectively.
729 +
730   \section{Results and Discussion}
731  
732   \subsection{Configuration Energy Differences}\label{sec:EnergyResults}
# Line 588 | Line 739 | figure \ref{fig:delE}.
739   \begin{figure}
740   \centering
741   \includegraphics[width=5.5in]{./delEplot.pdf}
742 < \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).}
742 > \caption{Statistical analysis of the quality of configurational energy
743 > differences for a given electrostatic method compared with the
744 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
745 > indicate $\Delta E$ values indistinguishable from those obtained using
746 > SPME.  Different values of the cutoff radius are indicated with
747 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
748 > inverted triangles).}
749   \label{fig:delE}
750   \end{figure}
751  
752 < In this figure, it is apparent that it is unreasonable to expect
753 < realistic results using an unmodified cutoff.  This is not all that
754 < surprising since this results in large energy fluctuations as atoms
755 < move in and out of the cutoff radius.  These fluctuations can be
756 < alleviated to some degree by using group based cutoffs with a
757 < switching function.\cite{Steinbach94} The Group Switch Cutoff row
601 < doesn't show a significant improvement in this plot because the salt
602 < and salt solution systems contain non-neutral groups, see the
603 < accompanying supporting information for a comparison where all groups
604 < are neutral.
752 > The most striking feature of this plot is how well the Shifted Force
753 > ({\sc sf}) and Shifted Potential ({\sc sp}) methods capture the energy
754 > differences.  For the undamped {\sc sf} method, and the
755 > moderately-damped {\sc sp} methods, the results are nearly
756 > indistinguishable from the Ewald results.  The other common methods do
757 > significantly less well.  
758  
759 < Correcting the resulting charged cutoff sphere is one of the purposes
760 < of the damped Coulomb summation proposed by Wolf \textit{et
761 < al.},\cite{Wolf99} and this correction indeed improves the results as
762 < seen in the Shifted-Potental rows.  While the undamped case of this
763 < method is a significant improvement over the pure cutoff, it still
764 < doesn't correlate that well with SPME.  Inclusion of potential damping
765 < improves the results, and using an $\alpha$ of 0.2 \AA $^{-1}$ shows
759 > The unmodified cutoff method is essentially unusable.  This is not
760 > surprising since hard cutoffs give large energy fluctuations as atoms
761 > or molecules move in and out of the cutoff
762 > radius.\cite{Rahman71,Adams79} These fluctuations can be alleviated to
763 > some degree by using group based cutoffs with a switching
764 > function.\cite{Adams79,Steinbach94,Leach01} However, we do not see
765 > significant improvement using the group-switched cutoff because the
766 > salt and salt solution systems contain non-neutral groups.  Interested
767 > readers can consult the accompanying supporting information for a
768 > comparison where all groups are neutral.
769 >
770 > For the {\sc sp} method, inclusion of potential damping improves the
771 > agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$ shows
772   an excellent correlation and quality of fit with the SPME results,
773 < particularly with a cutoff radius greater than 12 \AA .  Use of a
774 < larger damping parameter is more helpful for the shortest cutoff
775 < shown, but it has a detrimental effect on simulations with larger
776 < cutoffs.  In the {\sc sf} sets, increasing damping results in
618 < progressively poorer correlation.  Overall, the undamped case is the
619 < best performing set, as the correlation and quality of fits are
620 < consistently superior regardless of the cutoff distance.  This result
621 < is beneficial in that the undamped case is less computationally
622 < prohibitive do to the lack of complimentary error function calculation
623 < when performing the electrostatic pair interaction.  The reaction
624 < field results illustrates some of that method's limitations, primarily
625 < that it was developed for use in homogenous systems; although it does
626 < provide results that are an improvement over those from an unmodified
627 < cutoff.
773 > particularly with a cutoff radius greater than 12
774 > \AA .  Use of a larger damping parameter is more helpful for the
775 > shortest cutoff shown, but it has a detrimental effect on simulations
776 > with larger cutoffs.  
777  
778 + In the {\sc sf} sets, increasing damping results in progressively
779 + worse correlation with Ewald.  Overall, the undamped case is the best
780 + performing set, as the correlation and quality of fits are
781 + consistently superior regardless of the cutoff distance.  The undamped
782 + case is also less computationally demanding (because no evaluation of
783 + the complementary error function is required).
784 +
785 + The reaction field results illustrates some of that method's
786 + limitations, primarily that it was developed for use in homogenous
787 + systems; although it does provide results that are an improvement over
788 + those from an unmodified cutoff.
789 +
790   \subsection{Magnitudes of the Force and Torque Vectors}
791  
792   Evaluation of pairwise methods for use in Molecular Dynamics
# Line 639 | Line 800 | accumulated analysis over all the system types.
800   \begin{figure}
801   \centering
802   \includegraphics[width=5.5in]{./frcMagplot.pdf}
803 < \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).}
803 > \caption{Statistical analysis of the quality of the force vector
804 > magnitudes for a given electrostatic method compared with the
805 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
806 > indicate force magnitude values indistinguishable from those obtained
807 > using SPME.  Different values of the cutoff radius are indicated with
808 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
809 > inverted triangles).}
810   \label{fig:frcMag}
811   \end{figure}
812  
# Line 665 | Line 832 | performs more favorably.
832   \begin{figure}
833   \centering
834   \includegraphics[width=5.5in]{./trqMagplot.pdf}
835 < \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).}
835 > \caption{Statistical analysis of the quality of the torque vector
836 > magnitudes for a given electrostatic method compared with the
837 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
838 > indicate torque magnitude values indistinguishable from those obtained
839 > using SPME.  Different values of the cutoff radius are indicated with
840 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
841 > inverted triangles).}
842   \label{fig:trqMag}
843   \end{figure}
844  
# Line 695 | Line 868 | error distributions of the combined set over all syste
868   \begin{figure}
869   \centering
870   \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
871 < \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).}
871 > \caption{Statistical analysis of the quality of the Gaussian fit of
872 > the force and torque vector angular distributions for a given
873 > electrostatic method compared with the reference Ewald sum.  Results
874 > with a variance ($\sigma^2$) equal to zero (dashed line) indicate
875 > force and torque directions indistinguishable from those obtained
876 > using SPME.  Different values of the cutoff radius are indicated with
877 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
878 > inverted triangles).}
879   \label{fig:frcTrqAng}
880   \end{figure}
881  
# Line 719 | Line 899 | investigated further in the accompanying supporting in
899  
900   \begin{table}[htbp]
901     \centering
902 <   \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$^2$.}  
902 >   \caption{Variance ($\sigma^2$) of the force (top set) and torque
903 > (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$^2$.}      
904     \begin{tabular}{@{} ccrrrrrrrr @{}}
905        \\
906        \toprule
# Line 791 | Line 972 | unnecessary when using the {\sc sf} method.
972   up to 0.2 \AA$^{-1}$ proves to be beneficial, but damping is arguably
973   unnecessary when using the {\sc sf} method.
974  
975 < \subsection{Collective Motion: Power Spectra of NaCl Crystals}
975 > \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
976  
977   In the previous studies using a {\sc sf} variant of the damped
978   Wolf coulomb potential, the structure and dynamics of water were
# Line 803 | Line 984 | summation methods from the above results.
984   systems and simply recapitulate their results, we decided to look at
985   the solid state dynamical behavior obtained using the best performing
986   summation methods from the above results.
987 +
988 + \begin{figure}
989 + \centering
990 + \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
991 + \caption{Velocity auto-correlation functions of NaCl crystals at
992 + 1000 K while using SPME, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and
993 + {\sc sp} ($\alpha$ = 0.2). The inset is a magnification of the first
994 + trough. The times to first collision are nearly identical, but the
995 + differences can be seen in the peaks and troughs, where the undamped
996 + to weakly damped methods are stiffer than the moderately damped and
997 + SPME methods.}
998 + \label{fig:vCorrPlot}
999 + \end{figure}
1000  
1001 + The short-time decays through the first collision are nearly identical
1002 + in figure \ref{fig:vCorrPlot}, but the peaks and troughs of the
1003 + functions show how the methods differ.  The undamped {\sc sf} method
1004 + has deeper troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher
1005 + peaks than any of the other methods.  As the damping function is
1006 + increased, these peaks are smoothed out, and approach the SPME
1007 + curve. The damping acts as a distance dependent Gaussian screening of
1008 + the point charges for the pairwise summation methods; thus, the
1009 + collisions are more elastic in the undamped {\sc sf} potential, and the
1010 + stiffness of the potential is diminished as the electrostatic
1011 + interactions are softened by the damping function.  With $\alpha$
1012 + values of 0.2 \AA$^{-1}$, the {\sc sf} and {\sc sp} functions are
1013 + nearly identical and track the SPME features quite well.  This is not
1014 + too surprising in that the differences between the {\sc sf} and {\sc
1015 + sp} potentials are mitigated with increased damping.  However, this
1016 + appears to indicate that once damping is utilized, the form of the
1017 + potential seems to play a lesser role in the crystal dynamics.
1018 +
1019 + \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1020 +
1021 + The short time dynamics were extended to evaluate how the differences
1022 + between the methods affect the collective long-time motion.  The same
1023 + electrostatic summation methods were used as in the short time
1024 + velocity autocorrelation function evaluation, but the trajectories
1025 + were sampled over a much longer time. The power spectra of the
1026 + resulting velocity autocorrelation functions were calculated and are
1027 + displayed in figure \ref{fig:methodPS}.
1028 +
1029   \begin{figure}
1030   \centering
1031   \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1032 < \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.}
1032 > \caption{Power spectra obtained from the velocity auto-correlation
1033 > functions of NaCl crystals at 1000 K while using SPME, {\sc sf}
1034 > ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).
1035 > Apodization of the correlation functions via a cubic switching
1036 > function between 40 and 50 ps was used to clear up the spectral noise
1037 > resulting from data truncation, and had no noticeable effect on peak
1038 > location or magnitude.  The inset shows the frequency region below 100
1039 > cm$^{-1}$ to highlight where the spectra begin to differ.}
1040   \label{fig:methodPS}
1041   \end{figure}
1042  
1043 < Figure \ref{fig:methodPS} shows the power spectra for the NaCl
1044 < crystals (from averaged Na and Cl ion velocity autocorrelation
1045 < functions) using the stated electrostatic summation methods.  While
1046 < high frequency peaks of all the spectra overlap, showing the same
1047 < general features, the low frequency region shows how the summation
1048 < methods differ.  Considering the low-frequency inset (expanded in the
1049 < upper frame of figure \ref{fig:dampInc}), at frequencies below 100
1050 < cm$^{-1}$, the correlated motions are blue-shifted when using undamped
1051 < or weakly damped {\sc sf}.  When using moderate damping ($\alpha
1052 < = 0.2$ \AA$^{-1}$) both the {\sc sf} and {\sc sp}
1053 < methods give near identical correlated motion behavior as the Ewald
1054 < method (which has a damping value of 0.3119).  The damping acts as a
1055 < distance dependent Gaussian screening of the point charges for the
1056 < pairwise summation methods.  This weakening of the electrostatic
1057 < interaction with distance explains why the long-ranged correlated
829 < motions are at lower frequencies for the moderately damped methods
830 < than for undamped or weakly damped methods.  To see this effect more
831 < clearly, we show how damping strength affects a simple real-space
832 < electrostatic potential,
1043 > While high frequency peaks of the spectra in this figure overlap,
1044 > showing the same general features, the low frequency region shows how
1045 > the summation methods differ.  Considering the low-frequency inset
1046 > (expanded in the upper frame of figure \ref{fig:dampInc}), at
1047 > frequencies below 100 cm$^{-1}$, the correlated motions are
1048 > blue-shifted when using undamped or weakly damped {\sc sf}.  When
1049 > using moderate damping ($\alpha = 0.2$ \AA$^{-1}$) both the {\sc sf}
1050 > and {\sc sp} methods give near identical correlated motion behavior as
1051 > the Ewald method (which has a damping value of 0.3119).  This
1052 > weakening of the electrostatic interaction with increased damping
1053 > explains why the long-ranged correlated motions are at lower
1054 > frequencies for the moderately damped methods than for undamped or
1055 > weakly damped methods.  To see this effect more clearly, we show how
1056 > damping strength alone affects a simple real-space electrostatic
1057 > potential,
1058   \begin{equation}
1059   V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r})}{r}\right]S(r),
1060   \end{equation}
# Line 844 | Line 1069 | blue-shifted such that the lowest frequency peak resid
1069   shift to higher frequency in exponential fashion.  Though not shown,
1070   the spectrum for the simple undamped electrostatic potential is
1071   blue-shifted such that the lowest frequency peak resides near 325
1072 < cm$^{-1}$.  In light of these results, the undamped {\sc sf}
1073 < method producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is
1074 < quite respectable; however, it appears as though moderate damping is
1075 < required for accurate reproduction of crystal dynamics.
1072 > cm$^{-1}$.  In light of these results, the undamped {\sc sf} method
1073 > producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is quite
1074 > respectable and shows that the shifted force procedure accounts for
1075 > most of the effect afforded through use of the Ewald summation.
1076 > However, it appears as though moderate damping is required for
1077 > accurate reproduction of crystal dynamics.
1078   \begin{figure}
1079   \centering
1080   \includegraphics[width = \linewidth]{./comboSquare.pdf}
1081 < \caption{Upper: Zoomed inset from figure \ref{fig:methodPS}.  As the damping value for the {\sc sf} 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.}
1081 > \caption{Regions of spectra showing the low-frequency correlated
1082 > motions for NaCl crystals at 1000 K using various electrostatic
1083 > summation methods.  The upper plot is a zoomed inset from figure
1084 > \ref{fig:methodPS}.  As the damping value for the {\sc sf} potential
1085 > increases, the low-frequency peaks red-shift.  The lower plot is of
1086 > spectra when using SPME and a simple damped Coulombic sum with damping
1087 > coefficients ($\alpha$) ranging from 0.15 to 0.3 \AA$^{-1}$.  As
1088 > $\alpha$ increases, the peaks are red-shifted toward and eventually
1089 > beyond the values given by SPME.  The larger $\alpha$ values weaken
1090 > the real-space electrostatics, explaining this shift towards less
1091 > strongly correlated motions in the crystal.}
1092   \label{fig:dampInc}
1093   \end{figure}
1094  
# Line 891 | Line 1128 | today, the Ewald summation may no longer be required t
1128   standard by which these simple pairwise sums are judged.  However,
1129   these results do suggest that in the typical simulations performed
1130   today, the Ewald summation may no longer be required to obtain the
1131 < level of accuracy most researcher have come to expect
1131 > level of accuracy most researchers have come to expect
1132  
1133   \section{Acknowledgments}
1134   \newpage

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