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31  
32 +
33   \begin{document}
34  
35 < \title{On the necessity of the Ewald Summation in molecular simulations.}
35 > \title{Is the Ewald summation still necessary? \\
36 > Pairwise alternatives to the accepted standard for
37 > long-range electrostatics in molecular simulations}
38  
39 < \author{Christopher J. Fennell and J. Daniel Gezelter \\
39 > \author{Christopher J. Fennell and J. Daniel Gezelter\footnote{Corresponding author. \ Electronic mail:
40 > gezelter@nd.edu} \\
41   Department of Chemistry and Biochemistry\\
42   University of Notre Dame\\
43   Notre Dame, Indiana 46556}
# Line 33 | Line 48 | Notre Dame, Indiana 46556}
48   %\doublespacing
49  
50   \begin{abstract}
51 + We investigate pairwise electrostatic interaction methods and show
52 + that there are viable and computationally efficient $(\mathscr{O}(N))$
53 + alternatives to the Ewald summation for typical modern molecular
54 + simulations.  These methods are extended from the damped and
55 + cutoff-neutralized Coulombic sum originally proposed by
56 + [D. Wolf, P. Keblinski, S.~R. Phillpot, and J. Eggebrecht, {\it J. Chem. Phys.} {\bf 110}, 8255 (1999)] One of these, the damped shifted force method, shows
57 + a remarkable ability to reproduce the energetic and dynamic
58 + characteristics exhibited by simulations employing lattice summation
59 + techniques.  Comparisons were performed with this and other pairwise
60 + methods against the smooth particle mesh Ewald ({\sc spme}) summation
61 + to see how well they reproduce the energetics and dynamics of a
62 + variety of simulation types.
63   \end{abstract}
64  
65 + \newpage
66 +
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70   %                              BODY OF TEXT
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72  
73   \section{Introduction}
74  
75 + In molecular simulations, proper accumulation of the electrostatic
76 + interactions is essential and is one of the most
77 + computationally-demanding tasks.  The common molecular mechanics force
78 + fields represent atomic sites with full or partial charges protected
79 + by Lennard-Jones (short range) interactions.  This means that nearly
80 + every pair interaction involves a calculation of charge-charge forces.
81 + Coupled with relatively long-ranged $r^{-1}$ decay, the monopole
82 + interactions quickly become the most expensive part of molecular
83 + simulations.  Historically, the electrostatic pair interaction would
84 + not have decayed appreciably within the typical box lengths that could
85 + be feasibly simulated.  In the larger systems that are more typical of
86 + modern simulations, large cutoffs should be used to incorporate
87 + electrostatics correctly.
88 +
89 + There have been many efforts to address the proper and practical
90 + handling of electrostatic interactions, and these have resulted in a
91 + variety of techniques.\cite{Roux99,Sagui99,Tobias01} These are
92 + typically classified as implicit methods (i.e., continuum dielectrics,
93 + static dipolar fields),\cite{Born20,Grossfield00} explicit methods
94 + (i.e., Ewald summations, interaction shifting or
95 + truncation),\cite{Ewald21,Steinbach94} or a mixture of the two (i.e.,
96 + reaction field type methods, fast multipole
97 + methods).\cite{Onsager36,Rokhlin85} The explicit or mixed methods are
98 + often preferred because they physically incorporate solvent molecules
99 + in the system of interest, but these methods are sometimes difficult
100 + to utilize because of their high computational cost.\cite{Roux99} In
101 + addition to the computational cost, there have been some questions
102 + regarding possible artifacts caused by the inherent periodicity of the
103 + explicit Ewald summation.\cite{Tobias01}
104 +
105 + In this paper, we focus on a new set of pairwise methods devised by
106 + Wolf {\it et al.},\cite{Wolf99} which we further extend.  These
107 + methods along with a few other mixed methods (i.e. reaction field) are
108 + compared with the smooth particle mesh Ewald
109 + sum,\cite{Onsager36,Essmann99} which is our reference method for
110 + handling long-range electrostatic interactions. The new methods for
111 + handling electrostatics have the potential to scale linearly with
112 + increasing system size since they involve only a simple modification
113 + to the direct pairwise sum.  They also lack the added periodicity of
114 + the Ewald sum, so they can be used for systems which are non-periodic
115 + or which have one- or two-dimensional periodicity.  Below, these
116 + methods are evaluated using a variety of model systems to
117 + establish their usability in molecular simulations.
118 +
119 + \subsection{The Ewald Sum}
120 + The complete accumulation of the electrostatic interactions in a system with
121 + periodic boundary conditions (PBC) requires the consideration of the
122 + effect of all charges within a (cubic) simulation box as well as those
123 + in the periodic replicas,
124 + \begin{equation}
125 + V_\textrm{elec} = \frac{1}{2} {\sum_{\mathbf{n}}}^\prime \left[ \sum_{i=1}^N\sum_{j=1}^N \phi\left( \mathbf{r}_{ij} + L\mathbf{n},\bm{\Omega}_i,\bm{\Omega}_j\right) \right],
126 + \label{eq:PBCSum}
127 + \end{equation}
128 + where the sum over $\mathbf{n}$ is a sum over all periodic box
129 + replicas with integer coordinates $\mathbf{n} = (l,m,n)$, and the
130 + prime indicates $i = j$ are neglected for $\mathbf{n} =
131 + 0$.\cite{deLeeuw80} Within the sum, $N$ is the number of electrostatic
132 + particles, $\mathbf{r}_{ij}$ is $\mathbf{r}_j - \mathbf{r}_i$, $L$ is
133 + the cell length, $\bm{\Omega}_{i,j}$ are the Euler angles for $i$ and
134 + $j$, and $\phi$ is the solution to Poisson's equation
135 + ($\phi(\mathbf{r}_{ij}) = q_i q_j |\mathbf{r}_{ij}|^{-1}$ for
136 + charge-charge interactions). In the case of monopole electrostatics,
137 + eq. (\ref{eq:PBCSum}) is conditionally convergent and is divergent for
138 + non-neutral systems.
139 +
140 + The electrostatic summation problem was originally studied by Ewald
141 + for the case of an infinite crystal.\cite{Ewald21}. The approach he
142 + took was to convert this conditionally convergent sum into two
143 + absolutely convergent summations: a short-ranged real-space summation
144 + and a long-ranged reciprocal-space summation,
145 + \begin{equation}
146 + \begin{split}
147 + 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,
148 + \end{split}
149 + \label{eq:EwaldSum}
150 + \end{equation}
151 + where $\alpha$ is the damping or convergence parameter with units of
152 + \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and are equal to
153 + $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
154 + constant of the surrounding medium. The final two terms of
155 + eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
156 + for interacting with a surrounding dielectric.\cite{Allen87} This
157 + dipolar term was neglected in early applications in molecular
158 + simulations,\cite{Brush66,Woodcock71} until it was introduced by de
159 + Leeuw {\it et al.} to address situations where the unit cell has a
160 + dipole moment which is magnified through replication of the periodic
161 + images.\cite{deLeeuw80,Smith81} If this term is taken to be zero, the
162 + system is said to be using conducting (or ``tin-foil'') boundary
163 + conditions, $\epsilon_{\rm S} = \infty$. Figure
164 + \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
165 + time.  Initially, due to the small system sizes that could be
166 + simulated feasibly, the entire simulation box was replicated to
167 + convergence.  In more modern simulations, the systems have grown large
168 + enough that a real-space cutoff could potentially give convergent
169 + behavior.  Indeed, it has been observed that with the choice of a
170 + small $\alpha$, the reciprocal-space portion of the Ewald sum can be
171 + rapidly convergent and small relative to the real-space
172 + portion.\cite{Karasawa89,Kolafa92}
173 +
174 + \begin{figure}
175 + \centering
176 + \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
177 + \caption{The change in the need for the Ewald sum with
178 + increasing computational power.  A:~Initially, only small systems
179 + could be studied, and the Ewald sum replicated the simulation box to
180 + convergence.  B:~Now, radial cutoff methods should be able to reach
181 + convergence for the larger systems of charges that are common today.}
182 + \label{fig:ewaldTime}
183 + \end{figure}
184 +
185 + The original Ewald summation is an $\mathscr{O}(N^2)$ algorithm.  The
186 + convergence parameter $(\alpha)$ plays an important role in balancing
187 + the computational cost between the direct and reciprocal-space
188 + portions of the summation.  The choice of this value allows one to
189 + select whether the real-space or reciprocal space portion of the
190 + summation is an $\mathscr{O}(N^2)$ calculation (with the other being
191 + $\mathscr{O}(N)$).\cite{Sagui99} With the appropriate choice of
192 + $\alpha$ and thoughtful algorithm development, this cost can be
193 + reduced to $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route
194 + taken to reduce the cost of the Ewald summation even further is to set
195 + $\alpha$ such that the real-space interactions decay rapidly, allowing
196 + for a short spherical cutoff. Then the reciprocal space summation is
197 + optimized.  These optimizations usually involve utilization of the
198 + fast Fourier transform (FFT),\cite{Hockney81} leading to the
199 + particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
200 + methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
201 + methods, the cost of the reciprocal-space portion of the Ewald
202 + summation is reduced from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N
203 + \log N)$.
204 +
205 + These developments and optimizations have made the use of the Ewald
206 + summation routine in simulations with periodic boundary
207 + conditions. However, in certain systems, such as vapor-liquid
208 + interfaces and membranes, the intrinsic three-dimensional periodicity
209 + can prove problematic.  The Ewald sum has been reformulated to handle
210 + 2D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the
211 + new methods are computationally expensive.\cite{Spohr97,Yeh99} More
212 + recently, there have been several successful efforts toward reducing
213 + the computational cost of 2D lattice summations, often enabling the
214 + use of the mentioned
215 + optimizations.\cite{Yeh99,Kawata01,Arnold02,deJoannis02,Brodka04}
216 +
217 + Several studies have recognized that the inherent periodicity in the
218 + Ewald sum can also have an effect on three-dimensional
219 + systems.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
220 + Solvated proteins are essentially kept at high concentration due to
221 + the periodicity of the electrostatic summation method.  In these
222 + systems, the more compact folded states of a protein can be
223 + artificially stabilized by the periodic replicas introduced by the
224 + Ewald summation.\cite{Weber00} Thus, care must be taken when
225 + considering the use of the Ewald summation where the assumed
226 + periodicity would introduce spurious effects in the system dynamics.
227 +
228 + \subsection{The Wolf and Zahn Methods}
229 + In a recent paper by Wolf \textit{et al.}, a procedure was outlined
230 + for the accurate accumulation of electrostatic interactions in an
231 + efficient pairwise fashion.  This procedure lacks the inherent
232 + periodicity of the Ewald summation.\cite{Wolf99} Wolf \textit{et al.}
233 + observed that the electrostatic interaction is effectively
234 + short-ranged in condensed phase systems and that neutralization of the
235 + charge contained within the cutoff radius is crucial for potential
236 + stability. They devised a pairwise summation method that ensures
237 + charge neutrality and gives results similar to those obtained with the
238 + Ewald summation.  The resulting shifted Coulomb potential includes
239 + image-charges subtracted out through placement on the cutoff sphere
240 + and a distance-dependent damping function (identical to that seen in
241 + the real-space portion of the Ewald sum) to aid convergence
242 + \begin{equation}
243 + 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\}.
244 + \label{eq:WolfPot}
245 + \end{equation}
246 + Eq. (\ref{eq:WolfPot}) is essentially the common form of a shifted
247 + potential.  However, neutralizing the charge contained within each
248 + cutoff sphere requires the placement of a self-image charge on the
249 + surface of the cutoff sphere.  This additional self-term in the total
250 + potential enabled Wolf {\it et al.}  to obtain excellent estimates of
251 + Madelung energies for many crystals.
252 +
253 + In order to use their charge-neutralized potential in molecular
254 + dynamics simulations, Wolf \textit{et al.} suggested taking the
255 + derivative of this potential prior to evaluation of the limit.  This
256 + procedure gives an expression for the forces,
257 + \begin{equation}
258 + 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\},
259 + \label{eq:WolfForces}
260 + \end{equation}
261 + that incorporates both image charges and damping of the electrostatic
262 + interaction.
263 +
264 + More recently, Zahn \textit{et al.} investigated these potential and
265 + force expressions for use in simulations involving water.\cite{Zahn02}
266 + In their work, they pointed out that the forces and derivative of
267 + the potential are not commensurate.  Attempts to use both
268 + eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
269 + to poor energy conservation.  They correctly observed that taking the
270 + limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
271 + derivatives gives forces for a different potential energy function
272 + than the one shown in eq. (\ref{eq:WolfPot}).
273 +
274 + Zahn \textit{et al.} introduced a modified form of this summation
275 + method as a way to use the technique in Molecular Dynamics
276 + simulations.  They proposed a new damped Coulomb potential,
277 + \begin{equation}
278 + V_{\textrm{Zahn}}(r_{ij}) = q_iq_j\left\{\frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}}-\left[\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right]\left(r_{ij}-R_\mathrm{c}\right)\right\},
279 + \label{eq:ZahnPot}
280 + \end{equation}
281 + and showed that this potential does fairly well at capturing the
282 + structural and dynamic properties of water compared the same
283 + properties obtained using the Ewald sum.
284 +
285 + \subsection{Simple Forms for Pairwise Electrostatics}
286 +
287 + The potentials proposed by Wolf \textit{et al.} and Zahn \textit{et
288 + al.} are constructed using two different (and separable) computational
289 + tricks: \begin{enumerate}
290 + \item shifting through the use of image charges, and
291 + \item damping the electrostatic interaction.
292 + \end{enumerate}  Wolf \textit{et al.} treated the
293 + development of their summation method as a progressive application of
294 + these techniques,\cite{Wolf99} while Zahn \textit{et al.} founded
295 + their damped Coulomb modification (Eq. (\ref{eq:ZahnPot})) on the
296 + post-limit forces (Eq. (\ref{eq:WolfForces})) which were derived using
297 + both techniques.  It is possible, however, to separate these
298 + tricks and study their effects independently.
299 +
300 + Starting with the original observation that the effective range of the
301 + electrostatic interaction in condensed phases is considerably less
302 + than $r^{-1}$, either the cutoff sphere neutralization or the
303 + distance-dependent damping technique could be used as a foundation for
304 + a new pairwise summation method.  Wolf \textit{et al.} made the
305 + observation that charge neutralization within the cutoff sphere plays
306 + a significant role in energy convergence; therefore we will begin our
307 + analysis with the various shifted forms that maintain this charge
308 + neutralization.  We can evaluate the methods of Wolf
309 + \textit{et al.}  and Zahn \textit{et al.} by considering the standard
310 + shifted potential,
311 + \begin{equation}
312 + V_\textrm{SP}(r) =      \begin{cases}
313 + v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
314 + R_\textrm{c}  
315 + \end{cases},
316 + \label{eq:shiftingPotForm}
317 + \end{equation}
318 + and shifted force,
319 + \begin{equation}
320 + V_\textrm{SF}(r) =      \begin{cases}
321 + v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
322 + &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
323 +                                                \end{cases},
324 + \label{eq:shiftingForm}
325 + \end{equation}
326 + functions where $v(r)$ is the unshifted form of the potential, and
327 + $v_c$ is $v(R_\textrm{c})$.  The Shifted Force ({\sc sf}) form ensures
328 + that both the potential and the forces goes to zero at the cutoff
329 + radius, while the Shifted Potential ({\sc sp}) form only ensures the
330 + potential is smooth at the cutoff radius
331 + ($R_\textrm{c}$).\cite{Allen87}
332 +
333 + The forces associated with the shifted potential are simply the forces
334 + of the unshifted potential itself (when inside the cutoff sphere),
335 + \begin{equation}
336 + F_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
337 + \end{equation}
338 + and are zero outside.  Inside the cutoff sphere, the forces associated
339 + with the shifted force form can be written,
340 + \begin{equation}
341 + F_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
342 + v(r)}{dr} \right)_{r=R_\textrm{c}}.
343 + \end{equation}
344 +
345 + If the potential, $v(r)$, is taken to be the normal Coulomb potential,
346 + \begin{equation}
347 + v(r) = \frac{q_i q_j}{r},
348 + \label{eq:Coulomb}
349 + \end{equation}
350 + then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
351 + al.}'s undamped prescription:
352 + \begin{equation}
353 + V_\textrm{SP}(r) =
354 + q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
355 + r\leqslant R_\textrm{c},
356 + \label{eq:SPPot}
357 + \end{equation}
358 + with associated forces,
359 + \begin{equation}
360 + F_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
361 + \label{eq:SPForces}
362 + \end{equation}
363 + These forces are identical to the forces of the standard Coulomb
364 + interaction, and cutting these off at $R_c$ was addressed by Wolf
365 + \textit{et al.} as undesirable.  They pointed out that the effect of
366 + the image charges is neglected in the forces when this form is
367 + used,\cite{Wolf99} thereby eliminating any benefit from the method in
368 + molecular dynamics.  Additionally, there is a discontinuity in the
369 + forces at the cutoff radius which results in energy drift during MD
370 + simulations.
371 +
372 + The shifted force ({\sc sf}) form using the normal Coulomb potential
373 + will give,
374 + \begin{equation}
375 + V_\textrm{SF}(r) = q_iq_j\left[\frac{1}{r}-\frac{1}{R_\textrm{c}}+\left(\frac{1}{R_\textrm{c}^2}\right)(r-R_\textrm{c})\right] \quad r\leqslant R_\textrm{c}.
376 + \label{eq:SFPot}
377 + \end{equation}
378 + with associated forces,
379 + \begin{equation}
380 + F_\textrm{SF}(r) =  q_iq_j\left(\frac{1}{r^2}-\frac{1}{R_\textrm{c}^2}\right) \quad r\leqslant R_\textrm{c}.
381 + \label{eq:SFForces}
382 + \end{equation}
383 + This formulation has the benefits that there are no discontinuities at
384 + the cutoff radius, while the neutralizing image charges are present in
385 + both the energy and force expressions.  It would be simple to add the
386 + self-neutralizing term back when computing the total energy of the
387 + system, thereby maintaining the agreement with the Madelung energies.
388 + A side effect of this treatment is the alteration in the shape of the
389 + potential that comes from the derivative term.  Thus, a degree of
390 + clarity about agreement with the empirical potential is lost in order
391 + to gain functionality in dynamics simulations.
392 +
393 + Wolf \textit{et al.} originally discussed the energetics of the
394 + shifted Coulomb potential (Eq. \ref{eq:SPPot}) and found that it was
395 + insufficient for accurate determination of the energy with reasonable
396 + cutoff distances.  The calculated Madelung energies fluctuated around
397 + the expected value as the cutoff radius was increased, but the
398 + oscillations converged toward the correct value.\cite{Wolf99} A
399 + damping function was incorporated to accelerate the convergence; and
400 + though alternative forms for the damping function could be
401 + used,\cite{Jones56,Heyes81} the complimentary error function was
402 + chosen to mirror the effective screening used in the Ewald summation.
403 + Incorporating this error function damping into the simple Coulomb
404 + potential,
405 + \begin{equation}
406 + v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
407 + \label{eq:dampCoulomb}
408 + \end{equation}
409 + the shifted potential (eq. (\ref{eq:SPPot})) becomes
410 + \begin{equation}
411 + V_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r}-\frac{\textrm{erfc}\left(\alpha R_\textrm{c}\right)}{R_\textrm{c}}\right) \quad r\leqslant R_\textrm{c},
412 + \label{eq:DSPPot}
413 + \end{equation}
414 + with associated forces,
415 + \begin{equation}
416 + F_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \quad r\leqslant R_\textrm{c}.
417 + \label{eq:DSPForces}
418 + \end{equation}
419 + Again, this damped shifted potential suffers from a
420 + force-discontinuity at the cutoff radius, and the image charges play
421 + no role in the forces.  To remedy these concerns, one may derive a
422 + {\sc sf} variant by including the derivative term in
423 + eq. (\ref{eq:shiftingForm}),
424 + \begin{equation}
425 + \begin{split}
426 + V_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\frac{\mathrm{erfc}\left(\alpha r\right)}{r}-\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}} \\ &\left.+\left(\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right)\left(r-R_\mathrm{c}\right)\ \right] \quad r\leqslant R_\textrm{c}.
427 + \label{eq:DSFPot}
428 + \end{split}
429 + \end{equation}
430 + The derivative of the above potential will lead to the following forces,
431 + \begin{equation}
432 + \begin{split}
433 + F_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \\ &\left.-\left(\frac{\textrm{erfc}\left(\alpha R_{\textrm{c}}\right)}{R_{\textrm{c}}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2R_{\textrm{c}}^2\right)}}{R_{\textrm{c}}}\right)\right] \quad r\leqslant R_\textrm{c}.
434 + \label{eq:DSFForces}
435 + \end{split}
436 + \end{equation}
437 + If the damping parameter $(\alpha)$ is set to zero, the undamped case,
438 + eqs. (\ref{eq:SPPot} through \ref{eq:SFForces}) are correctly
439 + recovered from eqs. (\ref{eq:DSPPot} through \ref{eq:DSFForces}).
440 +
441 + This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
442 + derived by Zahn \textit{et al.}; however, there are two important
443 + differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from
444 + eq. (\ref{eq:shiftingForm}) is equal to eq. (\ref{eq:dampCoulomb})
445 + with $r$ replaced by $R_\textrm{c}$.  This term is {\it not} present
446 + in the Zahn potential, resulting in a potential discontinuity as
447 + particles cross $R_\textrm{c}$.  Second, the sign of the derivative
448 + portion is different.  The missing $v_\textrm{c}$ term would not
449 + affect molecular dynamics simulations (although the computed energy
450 + would be expected to have sudden jumps as particle distances crossed
451 + $R_c$).  The sign problem is a potential source of errors, however.
452 + In fact, it introduces a discontinuity in the forces at the cutoff,
453 + because the force function is shifted in the wrong direction and
454 + doesn't cross zero at $R_\textrm{c}$.
455 +
456 + Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
457 + electrostatic summation method in which the potential and forces are
458 + continuous at the cutoff radius and which incorporates the damping
459 + function proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of
460 + this paper, we will evaluate exactly how good these methods ({\sc sp},
461 + {\sc sf}, damping) are at reproducing the correct electrostatic
462 + summation performed by the Ewald sum.
463 +
464 + \subsection{Other alternatives}
465 + In addition to the methods described above, we considered some other
466 + techniques that are commonly used in molecular simulations.  The
467 + simplest of these is group-based cutoffs.  Though of little use for
468 + charged molecules, collecting atoms into neutral groups takes
469 + advantage of the observation that the electrostatic interactions decay
470 + faster than those for monopolar pairs.\cite{Steinbach94} When
471 + considering these molecules as neutral groups, the relative
472 + orientations of the molecules control the strength of the interactions
473 + at the cutoff radius.  Consequently, as these molecular particles move
474 + through $R_\textrm{c}$, the energy will drift upward due to the
475 + anisotropy of the net molecular dipole interactions.\cite{Rahman71} To
476 + maintain good energy conservation, both the potential and derivative
477 + need to be smoothly switched to zero at $R_\textrm{c}$.\cite{Adams79}
478 + This is accomplished using a standard switching function.  If a smooth
479 + second derivative is desired, a fifth (or higher) order polynomial can
480 + be used.\cite{Andrea83}
481 +
482 + Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
483 + and to incorporate the effects of the surroundings, a method like
484 + Reaction Field ({\sc rf}) can be used.  The original theory for {\sc
485 + rf} was originally developed by Onsager,\cite{Onsager36} and it was
486 + applied in simulations for the study of water by Barker and
487 + Watts.\cite{Barker73} In modern simulation codes, {\sc rf} is simply
488 + an extension of the group-based cutoff method where the net dipole
489 + within the cutoff sphere polarizes an external dielectric, which
490 + reacts back on the central dipole.  The same switching function
491 + considerations for group-based cutoffs need to made for {\sc rf}, with
492 + the additional pre-specification of a dielectric constant.
493 +
494   \section{Methods}
495  
496 + In classical molecular mechanics simulations, there are two primary
497 + techniques utilized to obtain information about the system of
498 + interest: Monte Carlo (MC) and Molecular Dynamics (MD).  Both of these
499 + techniques utilize pairwise summations of interactions between
500 + particle sites, but they use these summations in different ways.
501 +
502 + In MC, the potential energy difference between configurations dictates
503 + the progression of MC sampling.  Going back to the origins of this
504 + method, the acceptance criterion for the canonical ensemble laid out
505 + by Metropolis \textit{et al.} states that a subsequent configuration
506 + is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta E/kT)$, where
507 + $\xi$ is a random number between 0 and 1.\cite{Metropolis53}
508 + Maintaining the correct $\Delta E$ when using an alternate method for
509 + handling the long-range electrostatics will ensure proper sampling
510 + from the ensemble.
511 +
512 + In MD, the derivative of the potential governs how the system will
513 + progress in time.  Consequently, the force and torque vectors on each
514 + body in the system dictate how the system evolves.  If the magnitude
515 + and direction of these vectors are similar when using alternate
516 + electrostatic summation techniques, the dynamics in the short term
517 + will be indistinguishable.  Because error in MD calculations is
518 + cumulative, one should expect greater deviation at longer times,
519 + although methods which have large differences in the force and torque
520 + vectors will diverge from each other more rapidly.
521 +
522 + \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
523 +
524 + The pairwise summation techniques (outlined in section
525 + \ref{sec:ESMethods}) were evaluated for use in MC simulations by
526 + studying the energy differences between conformations.  We took the
527 + {\sc spme}-computed energy difference between two conformations to be the
528 + correct behavior. An ideal performance by an alternative method would
529 + reproduce these energy differences exactly (even if the absolute
530 + energies calculated by the methods are different).  Since none of the
531 + methods provide exact energy differences, we used linear least squares
532 + regressions of energy gap data to evaluate how closely the methods
533 + mimicked the Ewald energy gaps.  Unitary results for both the
534 + correlation (slope) and correlation coefficient for these regressions
535 + indicate perfect agreement between the alternative method and {\sc spme}.
536 + Sample correlation plots for two alternate methods are shown in
537 + Fig. \ref{fig:linearFit}.
538 +
539 + \begin{figure}
540 + \centering
541 + \includegraphics[width = \linewidth]{./dualLinear.pdf}
542 + \caption{Example least squares regressions of the configuration energy
543 + differences for SPC/E water systems. The upper plot shows a data set
544 + with a poor correlation coefficient ($R^2$), while the lower plot
545 + shows a data set with a good correlation coefficient.}
546 + \label{fig:linearFit}
547 + \end{figure}
548 +
549 + Each of the seven system types (detailed in section \ref{sec:RepSims})
550 + were represented using 500 independent configurations.  Thus, each of
551 + the alternative (non-Ewald) electrostatic summation methods was
552 + evaluated using an accumulated 873,250 configurational energy
553 + differences.
554 +
555 + Results and discussion for the individual analysis of each of the
556 + system types appear in the supporting information,\cite{EPAPSdeposit}
557 + while the cumulative results over all the investigated systems appears
558 + below in section \ref{sec:EnergyResults}.
559 +
560 + \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
561 + We evaluated the pairwise methods (outlined in section
562 + \ref{sec:ESMethods}) for use in MD simulations by
563 + comparing the force and torque vectors with those obtained using the
564 + reference Ewald summation ({\sc spme}).  Both the magnitude and the
565 + direction of these vectors on each of the bodies in the system were
566 + analyzed.  For the magnitude of these vectors, linear least squares
567 + regression analyses were performed as described previously for
568 + comparing $\Delta E$ values.  Instead of a single energy difference
569 + between two system configurations, we compared the magnitudes of the
570 + forces (and torques) on each molecule in each configuration.  For a
571 + system of 1000 water molecules and 40 ions, there are 1040 force
572 + vectors and 1000 torque vectors.  With 500 configurations, this
573 + results in 520,000 force and 500,000 torque vector comparisons.
574 + Additionally, data from seven different system types was aggregated
575 + before the comparison was made.
576 +
577 + The {\it directionality} of the force and torque vectors was
578 + investigated through measurement of the angle ($\theta$) formed
579 + between those computed from the particular method and those from {\sc spme},
580 + \begin{equation}
581 + \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
582 + \end{equation}
583 + where $\hat{F}_\textrm{M}$ is the unit vector pointing along the force
584 + vector computed using method M.  Each of these $\theta$ values was
585 + accumulated in a distribution function and weighted by the area on the
586 + unit sphere.  Since this distribution is a measure of angular error
587 + between two different electrostatic summation methods, there is no
588 + {\it a priori} reason for the profile to adhere to any specific
589 + shape. Thus, gaussian fits were used to measure the width of the
590 + resulting distributions. The variance ($\sigma^2$) was extracted from
591 + each of these fits and was used to compare distribution widths.
592 + Values of $\sigma^2$ near zero indicate vector directions
593 + indistinguishable from those calculated when using the reference
594 + method ({\sc spme}).
595 +
596 + \subsection{Short-time Dynamics}
597 +
598 + The effects of the alternative electrostatic summation methods on the
599 + short-time dynamics of charged systems were evaluated by considering a
600 + NaCl crystal at a temperature of 1000 K.  A subset of the best
601 + performing pairwise methods was used in this comparison.  The NaCl
602 + crystal was chosen to avoid possible complications from the treatment
603 + of orientational motion in molecular systems.  All systems were
604 + started with the same initial positions and velocities.  Simulations
605 + were performed under the microcanonical ensemble, and velocity
606 + autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
607 + of the trajectories,
608 + \begin{equation}
609 + C_v(t) = \frac{\langle v(0)\cdot v(t)\rangle}{\langle v^2\rangle}.
610 + \label{eq:vCorr}
611 + \end{equation}
612 + Velocity autocorrelation functions require detailed short time data,
613 + thus velocity information was saved every 2 fs over 10 ps
614 + trajectories. Because the NaCl crystal is composed of two different
615 + atom types, the average of the two resulting velocity autocorrelation
616 + functions was used for comparisons.
617 +
618 + \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
619 +
620 + The effects of the same subset of alternative electrostatic methods on
621 + the {\it long-time} dynamics of charged systems were evaluated using
622 + the same model system (NaCl crystals at 1000~K).  The power spectrum
623 + ($I(\omega)$) was obtained via Fourier transform of the velocity
624 + autocorrelation function, \begin{equation} I(\omega) =
625 + \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
626 + \label{eq:powerSpec}
627 + \end{equation}
628 + where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
629 + NaCl crystal is composed of two different atom types, the average of
630 + the two resulting power spectra was used for comparisons. Simulations
631 + were performed under the microcanonical ensemble, and velocity
632 + information was saved every 5~fs over 100~ps trajectories.
633 +
634 + \subsection{Representative Simulations}\label{sec:RepSims}
635 + A variety of representative molecular simulations were analyzed to
636 + determine the relative effectiveness of the pairwise summation
637 + techniques in reproducing the energetics and dynamics exhibited by
638 + {\sc spme}.  We wanted to span the space of typical molecular
639 + simulations (i.e. from liquids of neutral molecules to ionic
640 + crystals), so the systems studied were:
641 + \begin{enumerate}
642 + \item liquid water (SPC/E),\cite{Berendsen87}
643 + \item crystalline water (Ice I$_\textrm{c}$ crystals of SPC/E),
644 + \item NaCl crystals,
645 + \item NaCl melts,
646 + \item a low ionic strength solution of NaCl in water (0.11 M),
647 + \item a high ionic strength solution of NaCl in water (1.1 M), and
648 + \item a 6 \AA\  radius sphere of Argon in water.
649 + \end{enumerate}
650 + By utilizing the pairwise techniques (outlined in section
651 + \ref{sec:ESMethods}) in systems composed entirely of neutral groups,
652 + charged particles, and mixtures of the two, we hope to discern under
653 + which conditions it will be possible to use one of the alternative
654 + summation methodologies instead of the Ewald sum.
655 +
656 + For the solid and liquid water configurations, configurations were
657 + taken at regular intervals from high temperature trajectories of 1000
658 + SPC/E water molecules.  Each configuration was equilibrated
659 + independently at a lower temperature (300~K for the liquid, 200~K for
660 + the crystal).  The solid and liquid NaCl systems consisted of 500
661 + $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
662 + these systems were selected and equilibrated in the same manner as the
663 + water systems. In order to introduce measurable fluctuations in the
664 + configuration energy differences, the crystalline simulations were
665 + equilibrated at 1000~K, near the $T_\textrm{m}$ for NaCl. The liquid
666 + NaCl configurations needed to represent a fully disordered array of
667 + point charges, so the high temperature of 7000~K was selected for
668 + equilibration. The ionic solutions were made by solvating 4 (or 40)
669 + ions in a periodic box containing 1000 SPC/E water molecules.  Ion and
670 + water positions were then randomly swapped, and the resulting
671 + configurations were again equilibrated individually.  Finally, for the
672 + Argon / Water ``charge void'' systems, the identities of all the SPC/E
673 + waters within 6 \AA\ of the center of the equilibrated water
674 + configurations were converted to argon.
675 +
676 + These procedures guaranteed us a set of representative configurations
677 + from chemically-relevant systems sampled from appropriate
678 + ensembles. Force field parameters for the ions and Argon were taken
679 + from the force field utilized by {\sc oopse}.\cite{Meineke05}
680 +
681 + \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
682 + We compared the following alternative summation methods with results
683 + from the reference method ({\sc spme}):
684 + \begin{itemize}
685 + \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
686 + and 0.3 \AA$^{-1}$,
687 + \item {\sc sf} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
688 + and 0.3 \AA$^{-1}$,
689 + \item reaction field with an infinite dielectric constant, and
690 + \item an unmodified cutoff.
691 + \end{itemize}
692 + Group-based cutoffs with a fifth-order polynomial switching function
693 + were utilized for the reaction field simulations.  Additionally, we
694 + investigated the use of these cutoffs with the {\sc sp}, {\sc sf}, and pure
695 + cutoff.  The {\sc spme} electrostatics were performed using the {\sc tinker}
696 + implementation of {\sc spme},\cite{Ponder87} while all other calculations
697 + were performed using the {\sc oopse} molecular mechanics
698 + package.\cite{Meineke05} All other portions of the energy calculation
699 + (i.e. Lennard-Jones interactions) were handled in exactly the same
700 + manner across all systems and configurations.
701 +
702 + The alternative methods were also evaluated with three different
703 + cutoff radii (9, 12, and 15 \AA).  As noted previously, the
704 + convergence parameter ($\alpha$) plays a role in the balance of the
705 + real-space and reciprocal-space portions of the Ewald calculation.
706 + Typical molecular mechanics packages set this to a value dependent on
707 + the cutoff radius and a tolerance (typically less than $1 \times
708 + 10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
709 + increasing accuracy at the expense of computational time spent on the
710 + reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
711 + The default {\sc tinker} tolerance of $1 \times 10^{-8}$ kcal/mol was used
712 + in all {\sc spme} calculations, resulting in Ewald coefficients of 0.4200,
713 + 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
714 + respectively.
715 +
716   \section{Results and Discussion}
717  
718 + \subsection{Configuration Energy Differences}\label{sec:EnergyResults}
719 + In order to evaluate the performance of the pairwise electrostatic
720 + summation methods for Monte Carlo simulations, the energy differences
721 + between configurations were compared to the values obtained when using
722 + {\sc spme}.  The results for the subsequent regression analysis are shown in
723 + figure \ref{fig:delE}.
724 +
725 + \begin{figure}
726 + \centering
727 + \includegraphics[width=5.5in]{./delEplot.pdf}
728 + \caption{Statistical analysis of the quality of configurational energy
729 + differences for a given electrostatic method compared with the
730 + reference Ewald sum.  Results with a value equal to 1 (dashed line)
731 + indicate $\Delta E$ values indistinguishable from those obtained using
732 + {\sc spme}.  Different values of the cutoff radius are indicated with
733 + different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
734 + inverted triangles).}
735 + \label{fig:delE}
736 + \end{figure}
737 +
738 + The most striking feature of this plot is how well the Shifted Force
739 + ({\sc sf}) and Shifted Potential ({\sc sp}) methods capture the energy
740 + differences.  For the undamped {\sc sf} method, and the
741 + moderately-damped {\sc sp} methods, the results are nearly
742 + indistinguishable from the Ewald results.  The other common methods do
743 + significantly less well.  
744 +
745 + The unmodified cutoff method is essentially unusable.  This is not
746 + surprising since hard cutoffs give large energy fluctuations as atoms
747 + or molecules move in and out of the cutoff
748 + radius.\cite{Rahman71,Adams79} These fluctuations can be alleviated to
749 + some degree by using group based cutoffs with a switching
750 + function.\cite{Adams79,Steinbach94,Leach01} However, we do not see
751 + significant improvement using the group-switched cutoff because the
752 + salt and salt solution systems contain non-neutral groups.  Interested
753 + readers can consult the accompanying supporting information for a
754 + comparison where all groups are neutral.\cite{EPAPSdeposit}
755 +
756 + For the {\sc sp} method, inclusion of electrostatic damping improves
757 + the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
758 + shows an excellent correlation and quality of fit with the {\sc spme}
759 + results, particularly with a cutoff radius greater than 12
760 + \AA .  Use of a larger damping parameter is more helpful for the
761 + shortest cutoff shown, but it has a detrimental effect on simulations
762 + with larger cutoffs.  
763 +
764 + In the {\sc sf} sets, increasing damping results in progressively {\it
765 + worse} correlation with Ewald.  Overall, the undamped case is the best
766 + performing set, as the correlation and quality of fits are
767 + consistently superior regardless of the cutoff distance.  The undamped
768 + case is also less computationally demanding (because no evaluation of
769 + the complementary error function is required).
770 +
771 + The reaction field results illustrates some of that method's
772 + limitations, primarily that it was developed for use in homogenous
773 + systems; although it does provide results that are an improvement over
774 + those from an unmodified cutoff.
775 +
776 + \subsection{Magnitudes of the Force and Torque Vectors}
777 +
778 + Evaluation of pairwise methods for use in Molecular Dynamics
779 + simulations requires consideration of effects on the forces and
780 + torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
781 + regression results for the force and torque vector magnitudes,
782 + respectively.  The data in these figures was generated from an
783 + accumulation of the statistics from all of the system types.
784 +
785 + \begin{figure}
786 + \centering
787 + \includegraphics[width=5.5in]{./frcMagplot.pdf}
788 + \caption{Statistical analysis of the quality of the force vector
789 + magnitudes for a given electrostatic method compared with the
790 + reference Ewald sum.  Results with a value equal to 1 (dashed line)
791 + indicate force magnitude values indistinguishable from those obtained
792 + using {\sc spme}.  Different values of the cutoff radius are indicated with
793 + different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
794 + inverted triangles).}
795 + \label{fig:frcMag}
796 + \end{figure}
797 +
798 + Again, it is striking how well the Shifted Potential and Shifted Force
799 + methods are doing at reproducing the {\sc spme} forces.  The undamped and
800 + weakly-damped {\sc sf} method gives the best agreement with Ewald.
801 + This is perhaps expected because this method explicitly incorporates a
802 + smooth transition in the forces at the cutoff radius as well as the
803 + neutralizing image charges.
804 +
805 + Figure \ref{fig:frcMag}, for the most part, parallels the results seen
806 + in the previous $\Delta E$ section.  The unmodified cutoff results are
807 + poor, but using group based cutoffs and a switching function provides
808 + an improvement much more significant than what was seen with $\Delta
809 + E$.
810 +
811 + With moderate damping and a large enough cutoff radius, the {\sc sp}
812 + method is generating usable forces.  Further increases in damping,
813 + while beneficial for simulations with a cutoff radius of 9 \AA\ , is
814 + detrimental to simulations with larger cutoff radii.
815 +
816 + The reaction field results are surprisingly good, considering the poor
817 + quality of the fits for the $\Delta E$ results.  There is still a
818 + considerable degree of scatter in the data, but the forces correlate
819 + well with the Ewald forces in general.  We note that the reaction
820 + field calculations do not include the pure NaCl systems, so these
821 + results are partly biased towards conditions in which the method
822 + performs more favorably.
823 +
824 + \begin{figure}
825 + \centering
826 + \includegraphics[width=5.5in]{./trqMagplot.pdf}
827 + \caption{Statistical analysis of the quality of the torque vector
828 + magnitudes for a given electrostatic method compared with the
829 + reference Ewald sum.  Results with a value equal to 1 (dashed line)
830 + indicate torque magnitude values indistinguishable from those obtained
831 + using {\sc spme}.  Different values of the cutoff radius are indicated with
832 + different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
833 + inverted triangles).}
834 + \label{fig:trqMag}
835 + \end{figure}
836 +
837 + Molecular torques were only available from the systems which contained
838 + rigid molecules (i.e. the systems containing water).  The data in
839 + fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
840 +
841 + Torques appear to be much more sensitive to charges at a longer
842 + distance.   The striking feature in comparing the new electrostatic
843 + methods with {\sc spme} is how much the agreement improves with increasing
844 + cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
845 + appears to be reproducing the {\sc spme} torques most accurately.  
846 +
847 + Water molecules are dipolar, and the reaction field method reproduces
848 + the effect of the surrounding polarized medium on each of the
849 + molecular bodies. Therefore it is not surprising that reaction field
850 + performs best of all of the methods on molecular torques.
851 +
852 + \subsection{Directionality of the Force and Torque Vectors}
853 +
854 + It is clearly important that a new electrostatic method can reproduce
855 + the magnitudes of the force and torque vectors obtained via the Ewald
856 + sum. However, the {\it directionality} of these vectors will also be
857 + vital in calculating dynamical quantities accurately.  Force and
858 + torque directionalities were investigated by measuring the angles
859 + formed between these vectors and the same vectors calculated using
860 + {\sc spme}.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
861 + variance ($\sigma^2$) of the Gaussian fits of the angle error
862 + distributions of the combined set over all system types.
863 +
864 + \begin{figure}
865 + \centering
866 + \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
867 + \caption{Statistical analysis of the width of the angular distribution
868 + that the force and torque vectors from a given electrostatic method
869 + make with their counterparts obtained using the reference Ewald sum.
870 + Results with a variance ($\sigma^2$) equal to zero (dashed line)
871 + indicate force and torque directions indistinguishable from those
872 + obtained using {\sc spme}.  Different values of the cutoff radius are
873 + indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
874 + and 15\AA\ = inverted triangles).}
875 + \label{fig:frcTrqAng}
876 + \end{figure}
877 +
878 + Both the force and torque $\sigma^2$ results from the analysis of the
879 + total accumulated system data are tabulated in figure
880 + \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
881 + sp}) method would be essentially unusable for molecular dynamics
882 + unless the damping function is added.  The Shifted Force ({\sc sf})
883 + method, however, is generating force and torque vectors which are
884 + within a few degrees of the Ewald results even with weak (or no)
885 + damping.
886 +
887 + All of the sets (aside from the over-damped case) show the improvement
888 + afforded by choosing a larger cutoff radius.  Increasing the cutoff
889 + from 9 to 12 \AA\ typically results in a halving of the width of the
890 + distribution, with a similar improvement when going from 12 to 15
891 + \AA .
892 +
893 + The undamped {\sc sf}, group-based cutoff, and reaction field methods
894 + all do equivalently well at capturing the direction of both the force
895 + and torque vectors.  Using the electrostatic damping improves the
896 + angular behavior significantly for the {\sc sp} and moderately for the
897 + {\sc sf} methods.  Overdamping is detrimental to both methods.  Again
898 + it is important to recognize that the force vectors cover all
899 + particles in all seven systems, while torque vectors are only
900 + available for neutral molecular groups.  Damping is more beneficial to
901 + charged bodies, and this observation is investigated further in the
902 + accompanying supporting information.\cite{EPAPSdeposit}
903 +
904 + Although not discussed previously, group based cutoffs can be applied
905 + to both the {\sc sp} and {\sc sf} methods.  The group-based cutoffs
906 + will reintroduce small discontinuities at the cutoff radius, but the
907 + effects of these can be minimized by utilizing a switching function.
908 + Though there are no significant benefits or drawbacks observed in
909 + $\Delta E$ and the force and torque magnitudes when doing this, there
910 + is a measurable improvement in the directionality of the forces and
911 + torques. Table \ref{tab:groupAngle} shows the angular variances
912 + obtained using group based cutoffs along with the results seen in
913 + figure \ref{fig:frcTrqAng}.  The {\sc sp} (with an $\alpha$ of 0.2
914 + \AA$^{-1}$ or smaller) shows much narrower angular distributions when
915 + using group-based cutoffs. The {\sc sf} method likewise shows
916 + improvement in the undamped and lightly damped cases.
917 +
918 + \begin{table}[htbp]
919 +   \centering
920 +   \caption{Statistical analysis of the angular
921 +   distributions that the force (upper) and torque (lower) vectors
922 +   from a given electrostatic method make with their counterparts
923 +   obtained using the reference Ewald sum.  Calculations were
924 +   performed both with (Y) and without (N) group based cutoffs and a
925 +   switching function.  The $\alpha$ values have units of \AA$^{-1}$
926 +   and the variance values have units of degrees$^2$.}
927 +
928 +   \begin{tabular}{@{} ccrrrrrrrr @{}}
929 +      \\
930 +      \toprule
931 +      & & \multicolumn{4}{c}{Shifted Potential} & \multicolumn{4}{c}{Shifted Force} \\
932 +      \cmidrule(lr){3-6}
933 +      \cmidrule(l){7-10}
934 +            $R_\textrm{c}$ & Groups & $\alpha = 0$ & $\alpha = 0.1$ & $\alpha = 0.2$ & $\alpha = 0.3$ & $\alpha = 0$ & $\alpha = 0.1$ & $\alpha = 0.2$ & $\alpha = 0.3$\\
935 +      \midrule
936 +    
937 + 9 \AA   & N & 29.545 & 12.003 & 5.489 & 0.610 & 2.323 & 2.321 & 0.429 & 0.603 \\
938 +        & \textbf{Y} & \textbf{2.486} & \textbf{2.160} & \textbf{0.667} & \textbf{0.608} & \textbf{1.768} & \textbf{1.766} & \textbf{0.676} & \textbf{0.609} \\
939 + 12 \AA  & N & 19.381 & 3.097 & 0.190 & 0.608 & 0.920 & 0.736 & 0.133 & 0.612 \\
940 +        & \textbf{Y} & \textbf{0.515} & \textbf{0.288} & \textbf{0.127} & \textbf{0.586} & \textbf{0.308} & \textbf{0.249} & \textbf{0.127} & \textbf{0.586} \\
941 + 15 \AA  & N & 12.700 & 1.196 & 0.123 & 0.601 & 0.339 & 0.160 & 0.123 & 0.601 \\
942 +        & \textbf{Y} & \textbf{0.228} & \textbf{0.099} & \textbf{0.121} & \textbf{0.598} & \textbf{0.144} & \textbf{0.090} & \textbf{0.121} & \textbf{0.598} \\      
943 +
944 +      \midrule
945 +      
946 + 9 \AA   & N & 262.716 & 116.585 & 5.234 & 5.103 & 2.392 & 2.350 & 1.770 & 5.122 \\
947 +        & \textbf{Y} & \textbf{2.115} & \textbf{1.914} & \textbf{1.878} & \textbf{5.142} & \textbf{2.076} & \textbf{2.039} & \textbf{1.972} & \textbf{5.146} \\
948 + 12 \AA  & N & 129.576 & 25.560 & 1.369 & 5.080 & 0.913 & 0.790 & 1.362 & 5.124 \\
949 +        & \textbf{Y} & \textbf{0.810} & \textbf{0.685} & \textbf{1.352} & \textbf{5.082} & \textbf{0.765} & \textbf{0.714} & \textbf{1.360} & \textbf{5.082} \\
950 + 15 \AA  & N & 87.275 & 4.473 & 1.271 & 5.000 & 0.372 & 0.312 & 1.271 & 5.000 \\
951 +        & \textbf{Y} & \textbf{0.282} & \textbf{0.294} & \textbf{1.272} & \textbf{4.999} & \textbf{0.324} & \textbf{0.318} & \textbf{1.272} & \textbf{4.999} \\
952 +
953 +      \bottomrule
954 +   \end{tabular}
955 +   \label{tab:groupAngle}
956 + \end{table}
957 +
958 + One additional trend in table \ref{tab:groupAngle} is that the
959 + $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as $\alpha$
960 + increases, something that is more obvious with group-based cutoffs.
961 + The complimentary error function inserted into the potential weakens
962 + the electrostatic interaction as the value of $\alpha$ is increased.
963 + However, at larger values of $\alpha$, it is possible to overdamp the
964 + electrostatic interaction and to remove it completely.  Kast
965 + \textit{et al.}  developed a method for choosing appropriate $\alpha$
966 + values for these types of electrostatic summation methods by fitting
967 + to $g(r)$ data, and their methods indicate optimal values of 0.34,
968 + 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
969 + respectively.\cite{Kast03} These appear to be reasonable choices to
970 + obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
971 + these findings, choices this high would introduce error in the
972 + molecular torques, particularly for the shorter cutoffs.  Based on our
973 + observations, empirical damping up to 0.2 \AA$^{-1}$ is beneficial,
974 + but damping may be unnecessary when using the {\sc sf} method.
975 +
976 + \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
977 +
978 + Zahn {\it et al.} investigated the structure and dynamics of water
979 + using eqs. (\ref{eq:ZahnPot}) and
980 + (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
981 + that a method similar (but not identical with) the damped {\sc sf}
982 + method resulted in properties very similar to those obtained when
983 + using the Ewald summation.  The properties they studied (pair
984 + distribution functions, diffusion constants, and velocity and
985 + orientational correlation functions) may not be particularly sensitive
986 + to the long-range and collective behavior that governs the
987 + low-frequency behavior in crystalline systems.  Additionally, the
988 + ionic crystals are the worst case scenario for the pairwise methods
989 + because they lack the reciprocal space contribution contained in the
990 + Ewald summation.  
991 +
992 + We are using two separate measures to probe the effects of these
993 + alternative electrostatic methods on the dynamics in crystalline
994 + materials.  For short- and intermediate-time dynamics, we are
995 + computing the velocity autocorrelation function, and for long-time
996 + and large length-scale collective motions, we are looking at the
997 + low-frequency portion of the power spectrum.
998 +
999 + \begin{figure}
1000 + \centering
1001 + \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
1002 + \caption{Velocity autocorrelation functions of NaCl crystals at
1003 + 1000 K using {\sc spme}, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
1004 + sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
1005 + the first minimum.  The times to first collision are nearly identical,
1006 + but differences can be seen in the peaks and troughs, where the
1007 + undamped and weakly damped methods are stiffer than the moderately
1008 + damped and {\sc spme} methods.}
1009 + \label{fig:vCorrPlot}
1010 + \end{figure}
1011 +
1012 + The short-time decay of the velocity autocorrelation function through
1013 + the first collision are nearly identical in figure
1014 + \ref{fig:vCorrPlot}, but the peaks and troughs of the functions show
1015 + how the methods differ.  The undamped {\sc sf} method has deeper
1016 + troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher peaks than
1017 + any of the other methods.  As the damping parameter ($\alpha$) is
1018 + increased, these peaks are smoothed out, and the {\sc sf} method
1019 + approaches the {\sc spme} results.  With $\alpha$ values of 0.2 \AA$^{-1}$,
1020 + the {\sc sf} and {\sc sp} functions are nearly identical and track the
1021 + {\sc spme} features quite well.  This is not surprising because the {\sc sf}
1022 + and {\sc sp} potentials become nearly identical with increased
1023 + damping.  However, this appears to indicate that once damping is
1024 + utilized, the details of the form of the potential (and forces)
1025 + constructed out of the damped electrostatic interaction are less
1026 + important.
1027 +
1028 + \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1029 +
1030 + To evaluate how the differences between the methods affect the
1031 + collective long-time motion, we computed power spectra from long-time
1032 + traces of the velocity autocorrelation function. The power spectra for
1033 + the best-performing alternative methods are shown in
1034 + fig. \ref{fig:methodPS}.  Apodization of the correlation functions via
1035 + a cubic switching function between 40 and 50 ps was used to reduce the
1036 + ringing resulting from data truncation.  This procedure had no
1037 + noticeable effect on peak location or magnitude.
1038 +
1039 + \begin{figure}
1040 + \centering
1041 + \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1042 + \caption{Power spectra obtained from the velocity auto-correlation
1043 + functions of NaCl crystals at 1000 K while using {\sc spme}, {\sc sf}
1044 + ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  The inset
1045 + shows the frequency region below 100 cm$^{-1}$ to highlight where the
1046 + spectra differ.}
1047 + \label{fig:methodPS}
1048 + \end{figure}
1049 +
1050 + While the high frequency regions of the power spectra for the
1051 + alternative methods are quantitatively identical with Ewald spectrum,
1052 + the low frequency region shows how the summation methods differ.
1053 + Considering the low-frequency inset (expanded in the upper frame of
1054 + figure \ref{fig:dampInc}), at frequencies below 100 cm$^{-1}$, the
1055 + correlated motions are blue-shifted when using undamped or weakly
1056 + damped {\sc sf}.  When using moderate damping ($\alpha = 0.2$
1057 + \AA$^{-1}$) both the {\sc sf} and {\sc sp} methods give nearly identical
1058 + correlated motion to the Ewald method (which has a convergence
1059 + parameter of 0.3119 \AA$^{-1}$).  This weakening of the electrostatic
1060 + interaction with increased damping explains why the long-ranged
1061 + correlated motions are at lower frequencies for the moderately damped
1062 + methods than for undamped or weakly damped methods.
1063 +
1064 + To isolate the role of the damping constant, we have computed the
1065 + spectra for a single method ({\sc sf}) with a range of damping
1066 + constants and compared this with the {\sc spme} spectrum.
1067 + Fig. \ref{fig:dampInc} shows more clearly that increasing the
1068 + electrostatic damping red-shifts the lowest frequency phonon modes.
1069 + However, even without any electrostatic damping, the {\sc sf} method
1070 + has at most a 10 cm$^{-1}$ error in the lowest frequency phonon mode.
1071 + Without the {\sc sf} modifications, an undamped (pure cutoff) method
1072 + would predict the lowest frequency peak near 325 cm$^{-1}$.  {\it
1073 + Most} of the collective behavior in the crystal is accurately captured
1074 + using the {\sc sf} method.  Quantitative agreement with Ewald can be
1075 + obtained using moderate damping in addition to the shifting at the
1076 + cutoff distance.
1077 +
1078 + \begin{figure}
1079 + \centering
1080 + \includegraphics[width = \linewidth]{./increasedDamping.pdf}
1081 + \caption{Effect of damping on the two lowest-frequency phonon modes in
1082 + the NaCl crystal at 1000~K.  The undamped shifted force ({\sc sf})
1083 + method is off by less than 10 cm$^{-1}$, and increasing the
1084 + electrostatic damping to 0.25 \AA$^{-1}$ gives quantitative agreement
1085 + with the power spectrum obtained using the Ewald sum.  Overdamping can
1086 + result in underestimates of frequencies of the long-wavelength
1087 + motions.}
1088 + \label{fig:dampInc}
1089 + \end{figure}
1090 +
1091   \section{Conclusions}
1092  
1093 + This investigation of pairwise electrostatic summation techniques
1094 + shows that there are viable and computationally efficient alternatives
1095 + to the Ewald summation.  These methods are derived from the damped and
1096 + cutoff-neutralized Coulombic sum originally proposed by Wolf
1097 + \textit{et al.}\cite{Wolf99} In particular, the {\sc sf}
1098 + method, reformulated above as eqs. (\ref{eq:DSFPot}) and
1099 + (\ref{eq:DSFForces}), shows a remarkable ability to reproduce the
1100 + energetic and dynamic characteristics exhibited by simulations
1101 + employing lattice summation techniques.  The cumulative energy
1102 + difference results showed the undamped {\sc sf} and moderately damped
1103 + {\sc sp} methods produced results nearly identical to {\sc spme}.  Similarly
1104 + for the dynamic features, the undamped or moderately damped {\sc sf}
1105 + and moderately damped {\sc sp} methods produce force and torque vector
1106 + magnitude and directions very similar to the expected values.  These
1107 + results translate into long-time dynamic behavior equivalent to that
1108 + produced in simulations using {\sc spme}.
1109 +
1110 + As in all purely-pairwise cutoff methods, these methods are expected
1111 + to scale approximately {\it linearly} with system size, and they are
1112 + easily parallelizable.  This should result in substantial reductions
1113 + in the computational cost of performing large simulations.
1114 +
1115 + Aside from the computational cost benefit, these techniques have
1116 + applicability in situations where the use of the Ewald sum can prove
1117 + problematic.  Of greatest interest is their potential use in
1118 + interfacial systems, where the unmodified lattice sum techniques
1119 + artificially accentuate the periodicity of the system in an
1120 + undesirable manner.  There have been alterations to the standard Ewald
1121 + techniques, via corrections and reformulations, to compensate for
1122 + these systems; but the pairwise techniques discussed here require no
1123 + modifications, making them natural tools to tackle these problems.
1124 + Additionally, this transferability gives them benefits over other
1125 + pairwise methods, like reaction field, because estimations of physical
1126 + properties (e.g. the dielectric constant) are unnecessary.
1127 +
1128 + If a researcher is using Monte Carlo simulations of large chemical
1129 + systems containing point charges, most structural features will be
1130 + accurately captured using the undamped {\sc sf} method or the {\sc sp}
1131 + method with an electrostatic damping of 0.2 \AA$^{-1}$.  These methods
1132 + would also be appropriate for molecular dynamics simulations where the
1133 + data of interest is either structural or short-time dynamical
1134 + quantities.  For long-time dynamics and collective motions, the safest
1135 + pairwise method we have evaluated is the {\sc sf} method with an
1136 + electrostatic damping between 0.2 and 0.25
1137 + \AA$^{-1}$.
1138 +
1139 + We are not suggesting that there is any flaw with the Ewald sum; in
1140 + fact, it is the standard by which these simple pairwise sums have been
1141 + judged.  However, these results do suggest that in the typical
1142 + simulations performed today, the Ewald summation may no longer be
1143 + required to obtain the level of accuracy most researchers have come to
1144 + expect.
1145 +
1146   \section{Acknowledgments}
1147 + Support for this project was provided by the National Science
1148 + Foundation under grant CHE-0134881.  The authors would like to thank
1149 + Steve Corcelli and Ed Maginn for helpful discussions and comments.
1150  
1151 < \newpage
1151 > \newpage
1152  
1153 < \bibliographystyle{achemso}
1153 > \bibliographystyle{jcp2}
1154   \bibliography{electrostaticMethods}
1155  
1156  

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