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13 + \usepackage{booktabs}
14 + \usepackage{bibentry}
15 + \usepackage{mathrsfs}
16   \usepackage[ref]{overcite}
17   \pagestyle{plain}
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25  
26   \begin{document}
27  
28 < \title{On the necessity of the Ewald Summation in molecular simulations.}
28 > \title{Is the Ewald Summation necessary? Pairwise alternatives to the accepted standard for long-range electrostatics}
29  
30 < \author{Christopher J. Fennell and J. Daniel Gezelter \\
30 > \author{Christopher J. Fennell and J. Daniel Gezelter\footnote{Corresponding author. \ Electronic mail:
31 > gezelter@nd.edu} \\
32   Department of Chemistry and Biochemistry\\
33   University of Notre Dame\\
34   Notre Dame, Indiana 46556}
# Line 30 | Line 36 | Notre Dame, Indiana 46556}
36   \date{\today}
37  
38   \maketitle
39 < %\doublespacing
39 > \doublespacing
40  
41 + \nobibliography{}
42   \begin{abstract}
43 + A new method for accumulating electrostatic interactions was derived
44 + from the previous efforts described in \bibentry{Wolf99} and
45 + \bibentry{Zahn02} as a possible replacement for lattice sum methods in
46 + molecular simulations.  Comparisons were performed with this and other
47 + pairwise electrostatic summation techniques against the smooth
48 + particle mesh Ewald (SPME) summation to see how well they reproduce
49 + the energetics and dynamics of a variety of simulation types.  The
50 + newly derived Shifted-Force technique shows a remarkable ability to
51 + reproduce the behavior exhibited in simulations using SPME with an
52 + $\mathscr{O}(N)$ computational cost, equivalent to merely the
53 + real-space portion of the lattice summation.
54 +
55   \end{abstract}
56  
57 + \newpage
58 +
59   %\narrowtext
60  
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62   %                              BODY OF TEXT
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64  
65   \section{Introduction}
66 +
67 + In molecular simulations, proper accumulation of the electrostatic
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 + 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 system sizes that could be
158 + simulated feasibly, the entire simulation box was replicated to
159 + convergence.  In more modern simulations, the systems have grown large
160 + enough that a real-space cutoff could potentially give convergent
161 + behavior.  Indeed, it has been observed that with the choice of a
162 + small $\alpha$, the reciprocal-space portion of the Ewald sum can be
163 + rapidly convergent and small relative to the real-space
164 + portion.\cite{Karasawa89,Kolafa92}
165 +
166 + \begin{figure}
167 + \centering
168 + \includegraphics[width = \linewidth]{./ewaldProgression2.pdf}
169 + \caption{The change in the application of the Ewald sum with
170 + increasing computational power.  Initially, only small systems could
171 + be studied, and the Ewald sum replicated the simulation box to
172 + convergence.  Now, much larger systems of charges are investigated
173 + with fixed-distance cutoffs.}
174 + \label{fig:ewaldTime}
175 + \end{figure}
176 +
177 + The original Ewald summation is an $\mathscr{O}(N^2)$ algorithm.  The
178 + convergence parameter $(\alpha)$ plays an important role in balancing
179 + the computational cost between the direct and reciprocal-space
180 + portions of the summation.  The choice of this value allows one to
181 + select whether the real-space or reciprocal space portion of the
182 + summation is an $\mathscr{O}(N^2)$ calculation (with the other being
183 + $\mathscr{O}(N)$).\cite{Sagui99} With the appropriate choice of
184 + $\alpha$ and thoughtful algorithm development, this cost can be
185 + reduced to $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route
186 + taken to reduce the cost of the Ewald summation even further is to set
187 + $\alpha$ such that the real-space interactions decay rapidly, allowing
188 + for a short spherical cutoff. Then the reciprocal space summation is
189 + optimized.  These optimizations usually involve utilization of the
190 + fast Fourier transform (FFT),\cite{Hockney81} leading to the
191 + particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
192 + methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
193 + methods, the cost of the reciprocal-space portion of the Ewald
194 + summation is reduced from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N
195 + \log N)$.
196 +
197 + These developments and optimizations have made the use of the Ewald
198 + summation routine in simulations with periodic boundary
199 + conditions. However, in certain systems, such as vapor-liquid
200 + interfaces and membranes, the intrinsic three-dimensional periodicity
201 + can prove problematic.  The Ewald sum has been reformulated to handle
202 + 2D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the
203 + new methods are computationally expensive.\cite{Spohr97,Yeh99}
204 + Inclusion of a correction term in the Ewald summation is a possible
205 + direction for handling 2D systems while still enabling the use of the
206 + modern optimizations.\cite{Yeh99}
207 +
208 + Several studies have recognized that the inherent periodicity in the
209 + Ewald sum can also have an effect on three-dimensional
210 + systems.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
211 + Solvated proteins are essentially kept at high concentration due to
212 + the periodicity of the electrostatic summation method.  In these
213 + systems, the more compact folded states of a protein can be
214 + artificially stabilized by the periodic replicas introduced by the
215 + Ewald summation.\cite{Weber00} Thus, care must be taken when
216 + considering the use of the Ewald summation where the assumed
217 + periodicity would introduce spurious effects in the system dynamics.
218 +
219 + \subsection{The Wolf and Zahn Methods}
220 + In a recent paper by Wolf \textit{et al.}, a procedure was outlined
221 + for the accurate accumulation of electrostatic interactions in an
222 + efficient pairwise fashion.  This procedure lacks the inherent
223 + periodicity of the Ewald summation.\cite{Wolf99} Wolf \textit{et al.}
224 + observed that the electrostatic interaction is effectively
225 + short-ranged in condensed phase systems and that neutralization of the
226 + charge contained within the cutoff radius is crucial for potential
227 + stability. They devised a pairwise summation method that ensures
228 + charge neutrality and gives results similar to those obtained with the
229 + Ewald summation.  The resulting shifted Coulomb potential
230 + (Eq. \ref{eq:WolfPot}) includes image-charges subtracted out through
231 + placement on the cutoff sphere and a distance-dependent damping
232 + function (identical to that seen in the real-space portion of the
233 + Ewald sum) to aid convergence
234 + \begin{equation}
235 + 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\}.
236 + \label{eq:WolfPot}
237 + \end{equation}
238 + Eq. (\ref{eq:WolfPot}) is essentially the common form of a shifted
239 + potential.  However, neutralizing the charge contained within each
240 + cutoff sphere requires the placement of a self-image charge on the
241 + surface of the cutoff sphere.  This additional self-term in the total
242 + potential enabled Wolf {\it et al.}  to obtain excellent estimates of
243 + Madelung energies for many crystals.
244 +
245 + In order to use their charge-neutralized potential in molecular
246 + dynamics simulations, Wolf \textit{et al.} suggested taking the
247 + derivative of this potential prior to evaluation of the limit.  This
248 + procedure gives an expression for the forces,
249 + \begin{equation}
250 + 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\},
251 + \label{eq:WolfForces}
252 + \end{equation}
253 + that incorporates both image charges and damping of the electrostatic
254 + interaction.
255 +
256 + More recently, Zahn \textit{et al.} investigated these potential and
257 + force expressions for use in simulations involving water.\cite{Zahn02}
258 + In their work, they pointed out that the forces and derivative of
259 + the potential are not commensurate.  Attempts to use both
260 + eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
261 + to poor energy conservation.  They correctly observed that taking the
262 + limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
263 + derivatives gives forces for a different potential energy function
264 + than the one shown in eq. (\ref{eq:WolfPot}).
265 +
266 + Zahn \textit{et al.} introduced a modified form of this summation
267 + method as a way to use the technique in Molecular Dynamics
268 + simulations.  They proposed a new damped Coulomb potential,
269 + \begin{equation}
270 + V_{\textrm{Zahn}}(r_{ij}) = q_iq_j\left\{\frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}}-\left[\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right]\left(r_{ij}-R_\mathrm{c}\right)\right\},
271 + \label{eq:ZahnPot}
272 + \end{equation}
273 + and showed that this potential does fairly well at capturing the
274 + structural and dynamic properties of water compared the same
275 + properties obtained using the Ewald sum.
276 +
277 + \subsection{Simple Forms for Pairwise Electrostatics}
278 +
279 + The potentials proposed by Wolf \textit{et al.} and Zahn \textit{et
280 + al.} are constructed using two different (and separable) computational
281 + tricks: \begin{enumerate}
282 + \item shifting through the use of image charges, and
283 + \item damping the electrostatic interaction.
284 + \end{enumerate}  Wolf \textit{et al.} treated the
285 + development of their summation method as a progressive application of
286 + these techniques,\cite{Wolf99} while Zahn \textit{et al.} founded
287 + their damped Coulomb modification (Eq. (\ref{eq:ZahnPot})) on the
288 + post-limit forces (Eq. (\ref{eq:WolfForces})) which were derived using
289 + both techniques.  It is possible, however, to separate these
290 + tricks and study their effects independently.
291 +
292 + Starting with the original observation that the effective range of the
293 + electrostatic interaction in condensed phases is considerably less
294 + than $r^{-1}$, either the cutoff sphere neutralization or the
295 + distance-dependent damping technique could be used as a foundation for
296 + a new pairwise summation method.  Wolf \textit{et al.} made the
297 + observation that charge neutralization within the cutoff sphere plays
298 + a significant role in energy convergence; therefore we will begin our
299 + analysis with the various shifted forms that maintain this charge
300 + neutralization.  We can evaluate the methods of Wolf
301 + \textit{et al.}  and Zahn \textit{et al.} by considering the standard
302 + shifted potential,
303 + \begin{equation}
304 + V_\textrm{SP}(r) =      \begin{cases}
305 + v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
306 + R_\textrm{c}  
307 + \end{cases},
308 + \label{eq:shiftingPotForm}
309 + \end{equation}
310 + and shifted force,
311 + \begin{equation}
312 + V_\textrm{SF}(r) =      \begin{cases}
313 + v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
314 + &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
315 +                                                \end{cases},
316 + \label{eq:shiftingForm}
317 + \end{equation}
318 + functions where $v(r)$ is the unshifted form of the potential, and
319 + $v_c$ is $v(R_\textrm{c})$.  The Shifted Force ({\sc sf}) form ensures
320 + that both the potential and the forces goes to zero at the cutoff
321 + radius, while the Shifted Potential ({\sc sp}) form only ensures the
322 + potential is smooth at the cutoff radius
323 + ($R_\textrm{c}$).\cite{Allen87}
324  
325 + The forces associated with the shifted potential are simply the forces
326 + of the unshifted potential itself (when inside the cutoff sphere),
327 + \begin{equation}
328 + F_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
329 + \end{equation}
330 + and are zero outside.  Inside the cutoff sphere, the forces associated
331 + with the shifted force form can be written,
332 + \begin{equation}
333 + F_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
334 + v(r)}{dr} \right)_{r=R_\textrm{c}}.
335 + \end{equation}
336 +
337 + If the potential, $v(r)$, is taken to be the normal Coulomb potential,
338 + \begin{equation}
339 + v(r) = \frac{q_i q_j}{r},
340 + \label{eq:Coulomb}
341 + \end{equation}
342 + then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
343 + al.}'s undamped prescription:
344 + \begin{equation}
345 + V_\textrm{SP}(r) =
346 + q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
347 + r\leqslant R_\textrm{c},
348 + \label{eq:SPPot}
349 + \end{equation}
350 + with associated forces,
351 + \begin{equation}
352 + F_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
353 + \label{eq:SPForces}
354 + \end{equation}
355 + These forces are identical to the forces of the standard Coulomb
356 + interaction, and cutting these off at $R_c$ was addressed by Wolf
357 + \textit{et al.} as undesirable.  They pointed out that the effect of
358 + the image charges is neglected in the forces when this form is
359 + used,\cite{Wolf99} thereby eliminating any benefit from the method in
360 + molecular dynamics.  Additionally, there is a discontinuity in the
361 + forces at the cutoff radius which results in energy drift during MD
362 + simulations.
363 +
364 + The shifted force ({\sc sf}) form using the normal Coulomb potential
365 + will give,
366 + \begin{equation}
367 + V_\textrm{SF}(r) = q_iq_j\left[\frac{1}{r}-\frac{1}{R_\textrm{c}}+\left(\frac{1}{R_\textrm{c}^2}\right)(r-R_\textrm{c})\right] \quad r\leqslant R_\textrm{c}.
368 + \label{eq:SFPot}
369 + \end{equation}
370 + with associated forces,
371 + \begin{equation}
372 + F_\textrm{SF}(r) =  q_iq_j\left(\frac{1}{r^2}-\frac{1}{R_\textrm{c}^2}\right) \quad r\leqslant R_\textrm{c}.
373 + \label{eq:SFForces}
374 + \end{equation}
375 + This formulation has the benefits that there are no discontinuities at
376 + the cutoff radius, while the neutralizing image charges are present in
377 + both the energy and force expressions.  It would be simple to add the
378 + self-neutralizing term back when computing the total energy of the
379 + system, thereby maintaining the agreement with the Madelung energies.
380 + A side effect of this treatment is the alteration in the shape of the
381 + potential that comes from the derivative term.  Thus, a degree of
382 + clarity about agreement with the empirical potential is lost in order
383 + to gain functionality in dynamics simulations.
384 +
385 + Wolf \textit{et al.} originally discussed the energetics of the
386 + shifted Coulomb potential (Eq. \ref{eq:SPPot}) and found that it was
387 + insufficient for accurate determination of the energy with reasonable
388 + cutoff distances.  The calculated Madelung energies fluctuated around
389 + the expected value as the cutoff radius was increased, but the
390 + oscillations converged toward the correct value.\cite{Wolf99} A
391 + damping function was incorporated to accelerate the convergence; and
392 + though alternative forms for the damping function could be
393 + used,\cite{Jones56,Heyes81} the complimentary error function was
394 + chosen to mirror the effective screening used in the Ewald summation.
395 + Incorporating this error function damping into the simple Coulomb
396 + potential,
397 + \begin{equation}
398 + v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
399 + \label{eq:dampCoulomb}
400 + \end{equation}
401 + the shifted potential (eq. (\ref{eq:SPPot})) becomes
402 + \begin{equation}
403 + 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},
404 + \label{eq:DSPPot}
405 + \end{equation}
406 + with associated forces,
407 + \begin{equation}
408 + 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}.
409 + \label{eq:DSPForces}
410 + \end{equation}
411 + Again, this damped shifted potential suffers from a
412 + force-discontinuity at the cutoff radius, and the image charges play
413 + no role in the forces.  To remedy these concerns, one may derive a
414 + {\sc sf} variant by including the derivative term in
415 + eq. (\ref{eq:shiftingForm}),
416 + \begin{equation}
417 + \begin{split}
418 + V_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\frac{\mathrm{erfc}\left(\alpha r\right)}{r}-\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}} \\ &\left.+\left(\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right)\left(r-R_\mathrm{c}\right)\ \right] \quad r\leqslant R_\textrm{c}.
419 + \label{eq:DSFPot}
420 + \end{split}
421 + \end{equation}
422 + The derivative of the above potential will lead to the following forces,
423 + \begin{equation}
424 + \begin{split}
425 + F_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \\ &\left.-\left(\frac{\textrm{erfc}\left(\alpha R_{\textrm{c}}\right)}{R_{\textrm{c}}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2R_{\textrm{c}}^2\right)}}{R_{\textrm{c}}}\right)\right] \quad r\leqslant R_\textrm{c}.
426 + \label{eq:DSFForces}
427 + \end{split}
428 + \end{equation}
429 + If the damping parameter $(\alpha)$ is set to zero, the undamped case,
430 + eqs. (\ref{eq:SPPot} through \ref{eq:SFForces}) are correctly
431 + recovered from eqs. (\ref{eq:DSPPot} through \ref{eq:DSFForces}).
432 +
433 + This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
434 + derived by Zahn \textit{et al.}; however, there are two important
435 + differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from
436 + eq. (\ref{eq:shiftingForm}) is equal to eq. (\ref{eq:dampCoulomb})
437 + with $r$ replaced by $R_\textrm{c}$.  This term is {\it not} present
438 + in the Zahn potential, resulting in a potential discontinuity as
439 + particles cross $R_\textrm{c}$.  Second, the sign of the derivative
440 + portion is different.  The missing $v_\textrm{c}$ term would not
441 + affect molecular dynamics simulations (although the computed energy
442 + would be expected to have sudden jumps as particle distances crossed
443 + $R_c$).  The sign problem is a potential source of errors, however.
444 + In fact, it introduces a discontinuity in the forces at the cutoff,
445 + because the force function is shifted in the wrong direction and
446 + doesn't cross zero at $R_\textrm{c}$.
447 +
448 + Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
449 + electrostatic summation method in which the potential and forces are
450 + continuous at the cutoff radius and which incorporates the damping
451 + function proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of
452 + this paper, we will evaluate exactly how good these methods ({\sc sp},
453 + {\sc sf}, damping) are at reproducing the correct electrostatic
454 + summation performed by the Ewald sum.
455 +
456 + \subsection{Other alternatives}
457 + In addition to the methods described above, we considered some other
458 + techniques that are commonly used in molecular simulations.  The
459 + simplest of these is group-based cutoffs.  Though of little use for
460 + charged molecules, collecting atoms into neutral groups takes
461 + advantage of the observation that the electrostatic interactions decay
462 + faster than those for monopolar pairs.\cite{Steinbach94} When
463 + considering these molecules as neutral groups, the relative
464 + orientations of the molecules control the strength of the interactions
465 + at the cutoff radius.  Consequently, as these molecular particles move
466 + through $R_\textrm{c}$, the energy will drift upward due to the
467 + anisotropy of the net molecular dipole interactions.\cite{Rahman71} To
468 + maintain good energy conservation, both the potential and derivative
469 + need to be smoothly switched to zero at $R_\textrm{c}$.\cite{Adams79}
470 + This is accomplished using a standard switching function.  If a smooth
471 + second derivative is desired, a fifth (or higher) order polynomial can
472 + be used.\cite{Andrea83}
473 +
474 + Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
475 + and to incorporate the effects of the surroundings, a method like
476 + Reaction Field ({\sc rf}) can be used.  The original theory for {\sc
477 + rf} was originally developed by Onsager,\cite{Onsager36} and it was
478 + applied in simulations for the study of water by Barker and
479 + Watts.\cite{Barker73} In modern simulation codes, {\sc rf} is simply
480 + an extension of the group-based cutoff method where the net dipole
481 + within the cutoff sphere polarizes an external dielectric, which
482 + reacts back on the central dipole.  The same switching function
483 + considerations for group-based cutoffs need to made for {\sc rf}, with
484 + the additional pre-specification of a dielectric constant.
485 +
486   \section{Methods}
487 +
488 + In classical molecular mechanics simulations, there are two primary
489 + techniques utilized to obtain information about the system of
490 + interest: Monte Carlo (MC) and Molecular Dynamics (MD).  Both of these
491 + techniques utilize pairwise summations of interactions between
492 + particle sites, but they use these summations in different ways.
493 +
494 + In MC, the potential energy difference between configurations dictates
495 + the progression of MC sampling.  Going back to the origins of this
496 + method, the acceptance criterion for the canonical ensemble laid out
497 + by Metropolis \textit{et al.} states that a subsequent configuration
498 + is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta E/kT)$, where
499 + $\xi$ is a random number between 0 and 1.\cite{Metropolis53}
500 + Maintaining the correct $\Delta E$ when using an alternate method for
501 + handling the long-range electrostatics will ensure proper sampling
502 + from the ensemble.
503 +
504 + In MD, the derivative of the potential governs how the system will
505 + progress in time.  Consequently, the force and torque vectors on each
506 + body in the system dictate how the system evolves.  If the magnitude
507 + and direction of these vectors are similar when using alternate
508 + electrostatic summation techniques, the dynamics in the short term
509 + will be indistinguishable.  Because error in MD calculations is
510 + cumulative, one should expect greater deviation at longer times,
511 + although methods which have large differences in the force and torque
512 + vectors will diverge from each other more rapidly.
513 +
514 + \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
515 +
516 + The pairwise summation techniques (outlined in section
517 + \ref{sec:ESMethods}) were evaluated for use in MC simulations by
518 + studying the energy differences between conformations.  We took the
519 + SPME-computed energy difference between two conformations to be the
520 + correct behavior. An ideal performance by an alternative method would
521 + reproduce these energy differences exactly (even if the absolute
522 + energies calculated by the methods are different).  Since none of the
523 + methods provide exact energy differences, we used linear least squares
524 + regressions of energy gap data to evaluate how closely the methods
525 + mimicked the Ewald energy gaps.  Unitary results for both the
526 + correlation (slope) and correlation coefficient for these regressions
527 + indicate perfect agreement between the alternative method and SPME.
528 + Sample correlation plots for two alternate methods are shown in
529 + Fig. \ref{fig:linearFit}.
530 +
531 + \begin{figure}
532 + \centering
533 + \includegraphics[width = \linewidth]{./dualLinear.pdf}
534 + \caption{Example least squares regressions of the configuration energy
535 + differences for SPC/E water systems. The upper plot shows a data set
536 + with a poor correlation coefficient ($R^2$), while the lower plot
537 + shows a data set with a good correlation coefficient.}
538 + \label{fig:linearFit}
539 + \end{figure}
540 +
541 + Each system type (detailed in section \ref{sec:RepSims}) was
542 + represented using 500 independent configurations.  Additionally, we
543 + used seven different system types, so each of the alternative
544 + (non-Ewald) electrostatic summation methods was evaluated using
545 + 873,250 configurational energy differences.
546 +
547 + Results and discussion for the individual analysis of each of the
548 + system types appear in the supporting information, while the
549 + cumulative results over all the investigated systems appears below in
550 + section \ref{sec:EnergyResults}.
551 +
552 + \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
553 + We evaluated the pairwise methods (outlined in section
554 + \ref{sec:ESMethods}) for use in MD simulations by
555 + comparing the force and torque vectors with those obtained using the
556 + reference Ewald summation (SPME).  Both the magnitude and the
557 + direction of these vectors on each of the bodies in the system were
558 + analyzed.  For the magnitude of these vectors, linear least squares
559 + regression analyses were performed as described previously for
560 + comparing $\Delta E$ values.  Instead of a single energy difference
561 + between two system configurations, we compared the magnitudes of the
562 + forces (and torques) on each molecule in each configuration.  For a
563 + system of 1000 water molecules and 40 ions, there are 1040 force
564 + vectors and 1000 torque vectors.  With 500 configurations, this
565 + results in 520,000 force and 500,000 torque vector comparisons.
566 + Additionally, data from seven different system types was aggregated
567 + before the comparison was made.
568 +
569 + The {\it directionality} of the force and torque vectors was
570 + investigated through measurement of the angle ($\theta$) formed
571 + between those computed from the particular method and those from SPME,
572 + \begin{equation}
573 + \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
574 + \end{equation}
575 + where $\hat{f}_\textrm{M}$ is the unit vector pointing along the force
576 + vector computed using method M.  Each of these $\theta$ values was
577 + accumulated in a distribution function and weighted by the area on the
578 + unit sphere.  Since this distribution is a measure of angular error
579 + between two different electrostatic summation methods, there is no
580 + {\it a priori} reason for the profile to adhere to any specific
581 + shape. Thus, gaussian fits were used to measure the width of the
582 + resulting distributions.
583 + %
584 + %\begin{figure}
585 + %\centering
586 + %\includegraphics[width = \linewidth]{./gaussFit.pdf}
587 + %\caption{Sample fit of the angular distribution of the force vectors
588 + %accumulated using all of the studied systems.  Gaussian fits were used
589 + %to obtain values for the variance in force and torque vectors.}
590 + %\label{fig:gaussian}
591 + %\end{figure}
592 + %
593 + %Figure \ref{fig:gaussian} shows an example distribution with applied
594 + %non-linear fits.  The solid line is a Gaussian profile, while the
595 + %dotted line is a Voigt profile, a convolution of a Gaussian and a
596 + %Lorentzian.  
597 + %Since this distribution is a measure of angular error between two
598 + %different electrostatic summation methods, there is no {\it a priori}
599 + %reason for the profile to adhere to any specific shape.
600 + %Gaussian fits was used to compare all the tested methods.  
601 + The variance ($\sigma^2$) was extracted from each of these fits and
602 + was used to compare distribution widths.  Values of $\sigma^2$ near
603 + zero indicate vector directions indistinguishable from those
604 + calculated when using the reference method (SPME).
605  
606 + \subsection{Short-time Dynamics}
607 +
608 + The effects of the alternative electrostatic summation methods on the
609 + short-time dynamics of charged systems were evaluated by considering a
610 + NaCl crystal at a temperature of 1000 K.  A subset of the best
611 + performing pairwise methods was used in this comparison.  The NaCl
612 + crystal was chosen to avoid possible complications from the treatment
613 + of orientational motion in molecular systems.  All systems were
614 + started with the same initial positions and velocities.  Simulations
615 + were performed under the microcanonical ensemble, and velocity
616 + autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
617 + of the trajectories,
618 + \begin{equation}
619 + C_v(t) = \frac{\langle v_i(0)\cdot v_i(t)\rangle}{\langle v_i(0)\cdot v_i(0)\rangle}.
620 + \label{eq:vCorr}
621 + \end{equation}
622 + Velocity autocorrelation functions require detailed short time data,
623 + thus velocity information was saved every 2 fs over 10 ps
624 + trajectories. Because the NaCl crystal is composed of two different
625 + atom types, the average of the two resulting velocity autocorrelation
626 + functions was used for comparisons.
627 +
628 + \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
629 +
630 + The effects of the same subset of alternative electrostatic methods on
631 + the {\it long-time} dynamics of charged systems were evaluated using
632 + the same model system (NaCl crystals at 1000K).  The power spectrum
633 + ($I(\omega)$) was obtained via Fourier transform of the velocity
634 + autocorrelation function, \begin{equation} I(\omega) =
635 + \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
636 + \label{eq:powerSpec}
637 + \end{equation}
638 + where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
639 + NaCl crystal is composed of two different atom types, the average of
640 + the two resulting power spectra was used for comparisons. Simulations
641 + were performed under the microcanonical ensemble, and velocity
642 + information was saved every 5 fs over 100 ps trajectories.
643 +
644 + \subsection{Representative Simulations}\label{sec:RepSims}
645 + A variety of representative simulations were analyzed to determine the
646 + relative effectiveness of the pairwise summation techniques in
647 + reproducing the energetics and dynamics exhibited by SPME.  We wanted
648 + to span the space of modern simulations (i.e. from liquids of neutral
649 + molecules to ionic crystals), so the systems studied were:
650 + \begin{enumerate}
651 + \item liquid water (SPC/E),\cite{Berendsen87}
652 + \item crystalline water (Ice I$_\textrm{c}$ crystals of SPC/E),
653 + \item NaCl crystals,
654 + \item NaCl melts,
655 + \item a low ionic strength solution of NaCl in water (0.11 M),
656 + \item a high ionic strength solution of NaCl in water (1.1 M), and
657 + \item a 6 \AA\  radius sphere of Argon in water.
658 + \end{enumerate}
659 + By utilizing the pairwise techniques (outlined in section
660 + \ref{sec:ESMethods}) in systems composed entirely of neutral groups,
661 + charged particles, and mixtures of the two, we hope to discern under
662 + which conditions it will be possible to use one of the alternative
663 + summation methodologies instead of the Ewald sum.
664 +
665 + For the solid and liquid water configurations, configurations were
666 + taken at regular intervals from high temperature trajectories of 1000
667 + SPC/E water molecules.  Each configuration was equilibrated
668 + independently at a lower temperature (300~K for the liquid, 200~K for
669 + the crystal).  The solid and liquid NaCl systems consisted of 500
670 + $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
671 + these systems were selected and equilibrated in the same manner as the
672 + water systems.  The equilibrated temperatures were 1000~K for the NaCl
673 + crystal and 7000~K for the liquid. The ionic solutions were made by
674 + solvating 4 (or 40) ions in a periodic box containing 1000 SPC/E water
675 + molecules.  Ion and water positions were then randomly swapped, and
676 + the resulting configurations were again equilibrated individually.
677 + Finally, for the Argon / Water ``charge void'' systems, the identities
678 + of all the SPC/E waters within 6 \AA\ of the center of the
679 + equilibrated water configurations were converted to argon.
680 + %(Fig. \ref{fig:argonSlice}).
681 +
682 + These procedures guaranteed us a set of representative configurations
683 + from chemically-relevant systems sampled from appropriate
684 + ensembles. Force field parameters for the ions and Argon were taken
685 + from the force field utilized by {\sc oopse}.\cite{Meineke05}
686 +
687 + %\begin{figure}
688 + %\centering
689 + %\includegraphics[width = \linewidth]{./slice.pdf}
690 + %\caption{A slice from the center of a water box used in a charge void
691 + %simulation.  The darkened region represents the boundary sphere within
692 + %which the water molecules were converted to argon atoms.}
693 + %\label{fig:argonSlice}
694 + %\end{figure}
695 +
696 + \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
697 + We compared the following alternative summation methods with results
698 + from the reference method (SPME):
699 + \begin{itemize}
700 + \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
701 + and 0.3 \AA$^{-1}$,
702 + \item {\sc sf} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
703 + and 0.3 \AA$^{-1}$,
704 + \item reaction field with an infinite dielectric constant, and
705 + \item an unmodified cutoff.
706 + \end{itemize}
707 + Group-based cutoffs with a fifth-order polynomial switching function
708 + were utilized for the reaction field simulations.  Additionally, we
709 + investigated the use of these cutoffs with the SP, SF, and pure
710 + cutoff.  The SPME electrostatics were performed using the TINKER
711 + implementation of SPME,\cite{Ponder87} while all other calculations
712 + were performed using the {\sc oopse} molecular mechanics
713 + package.\cite{Meineke05} All other portions of the energy calculation
714 + (i.e. Lennard-Jones interactions) were handled in exactly the same
715 + manner across all systems and configurations.
716 +
717 + The althernative methods were also evaluated with three different
718 + cutoff radii (9, 12, and 15 \AA).  As noted previously, the
719 + convergence parameter ($\alpha$) plays a role in the balance of the
720 + real-space and reciprocal-space portions of the Ewald calculation.
721 + Typical molecular mechanics packages set this to a value dependent on
722 + the cutoff radius and a tolerance (typically less than $1 \times
723 + 10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
724 + increasing accuracy at the expense of computational time spent on the
725 + reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
726 + The default TINKER tolerance of $1 \times 10^{-8}$ kcal/mol was used
727 + in all SPME calculations, resulting in Ewald coefficients of 0.4200,
728 + 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
729 + respectively.
730 +
731   \section{Results and Discussion}
732  
733 + \subsection{Configuration Energy Differences}\label{sec:EnergyResults}
734 + In order to evaluate the performance of the pairwise electrostatic
735 + summation methods for Monte Carlo simulations, the energy differences
736 + between configurations were compared to the values obtained when using
737 + SPME.  The results for the subsequent regression analysis are shown in
738 + figure \ref{fig:delE}.
739 +
740 + \begin{figure}
741 + \centering
742 + \includegraphics[width=5.5in]{./delEplot.pdf}
743 + \caption{Statistical analysis of the quality of configurational energy
744 + differences for a given electrostatic method compared with the
745 + reference Ewald sum.  Results with a value equal to 1 (dashed line)
746 + indicate $\Delta E$ values indistinguishable from those obtained using
747 + SPME.  Different values of the cutoff radius are indicated with
748 + different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
749 + inverted triangles).}
750 + \label{fig:delE}
751 + \end{figure}
752 +
753 + The most striking feature of this plot is how well the Shifted Force
754 + ({\sc sf}) and Shifted Potential ({\sc sp}) methods capture the energy
755 + differences.  For the undamped {\sc sf} method, and the
756 + moderately-damped {\sc sp} methods, the results are nearly
757 + indistinguishable from the Ewald results.  The other common methods do
758 + significantly less well.  
759 +
760 + The unmodified cutoff method is essentially unusable.  This is not
761 + surprising since hard cutoffs give large energy fluctuations as atoms
762 + or molecules move in and out of the cutoff
763 + radius.\cite{Rahman71,Adams79} These fluctuations can be alleviated to
764 + some degree by using group based cutoffs with a switching
765 + function.\cite{Adams79,Steinbach94,Leach01} However, we do not see
766 + significant improvement using the group-switched cutoff because the
767 + salt and salt solution systems contain non-neutral groups.  Interested
768 + readers can consult the accompanying supporting information for a
769 + comparison where all groups are neutral.
770 +
771 + For the {\sc sp} method, inclusion of electrostatic damping improves
772 + the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
773 + shows an excellent correlation and quality of fit with the SPME
774 + results, particularly with a cutoff radius greater than 12
775 + \AA .  Use of a larger damping parameter is more helpful for the
776 + shortest cutoff shown, but it has a detrimental effect on simulations
777 + with larger cutoffs.  
778 +
779 + In the {\sc sf} sets, increasing damping results in progressively {\it
780 + worse} correlation with Ewald.  Overall, the undamped case is the best
781 + performing set, as the correlation and quality of fits are
782 + consistently superior regardless of the cutoff distance.  The undamped
783 + case is also less computationally demanding (because no evaluation of
784 + the complementary error function is required).
785 +
786 + The reaction field results illustrates some of that method's
787 + limitations, primarily that it was developed for use in homogenous
788 + systems; although it does provide results that are an improvement over
789 + those from an unmodified cutoff.
790 +
791 + \subsection{Magnitudes of the Force and Torque Vectors}
792 +
793 + Evaluation of pairwise methods for use in Molecular Dynamics
794 + simulations requires consideration of effects on the forces and
795 + torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
796 + regression results for the force and torque vector magnitudes,
797 + respectively.  The data in these figures was generated from an
798 + accumulation of the statistics from all of the system types.
799 +
800 + \begin{figure}
801 + \centering
802 + \includegraphics[width=5.5in]{./frcMagplot.pdf}
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 +
813 + Again, it is striking how well the Shifted Potential and Shifted Force
814 + methods are doing at reproducing the SPME forces.  The undamped and
815 + weakly-damped {\sc sf} method gives the best agreement with Ewald.
816 + This is perhaps expected because this method explicitly incorporates a
817 + smooth transition in the forces at the cutoff radius as well as the
818 + neutralizing image charges.
819 +
820 + Figure \ref{fig:frcMag}, for the most part, parallels the results seen
821 + in the previous $\Delta E$ section.  The unmodified cutoff results are
822 + poor, but using group based cutoffs and a switching function provides
823 + an improvement much more significant than what was seen with $\Delta
824 + E$.
825 +
826 + With moderate damping and a large enough cutoff radius, the {\sc sp}
827 + method is generating usable forces.  Further increases in damping,
828 + while beneficial for simulations with a cutoff radius of 9 \AA\ , is
829 + detrimental to simulations with larger cutoff radii.
830 +
831 + The reaction field results are surprisingly good, considering the poor
832 + quality of the fits for the $\Delta E$ results.  There is still a
833 + considerable degree of scatter in the data, but the forces correlate
834 + well with the Ewald forces in general.  We note that the reaction
835 + field calculations do not include the pure NaCl systems, so these
836 + results are partly biased towards conditions in which the method
837 + performs more favorably.
838 +
839 + \begin{figure}
840 + \centering
841 + \includegraphics[width=5.5in]{./trqMagplot.pdf}
842 + \caption{Statistical analysis of the quality of the torque vector
843 + magnitudes for a given electrostatic method compared with the
844 + reference Ewald sum.  Results with a value equal to 1 (dashed line)
845 + indicate torque magnitude values indistinguishable from those obtained
846 + using SPME.  Different values of the cutoff radius are indicated with
847 + different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
848 + inverted triangles).}
849 + \label{fig:trqMag}
850 + \end{figure}
851 +
852 + Molecular torques were only available from the systems which contained
853 + rigid molecules (i.e. the systems containing water).  The data in
854 + fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
855 +
856 + Torques appear to be much more sensitive to charges at a longer
857 + distance.   The striking feature in comparing the new electrostatic
858 + methods with SPME is how much the agreement improves with increasing
859 + cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
860 + appears to be reproducing the SPME torques most accurately.  
861 +
862 + Water molecules are dipolar, and the reaction field method reproduces
863 + the effect of the surrounding polarized medium on each of the
864 + molecular bodies. Therefore it is not surprising that reaction field
865 + performs best of all of the methods on molecular torques.
866 +
867 + \subsection{Directionality of the Force and Torque Vectors}
868 +
869 + It is clearly important that a new electrostatic method can reproduce
870 + the magnitudes of the force and torque vectors obtained via the Ewald
871 + sum. However, the {\it directionality} of these vectors will also be
872 + vital in calculating dynamical quantities accurately.  Force and
873 + torque directionalities were investigated by measuring the angles
874 + formed between these vectors and the same vectors calculated using
875 + SPME.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
876 + variance ($\sigma^2$) of the Gaussian fits of the angle error
877 + distributions of the combined set over all system types.
878 +
879 + \begin{figure}
880 + \centering
881 + \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
882 + \caption{Statistical analysis of the width of the angular distribution
883 + that the force and torque vectors from a given electrostatic method
884 + make with their counterparts obtained using the reference Ewald sum.
885 + Results with a variance ($\sigma^2$) equal to zero (dashed line)
886 + indicate force and torque directions indistinguishable from those
887 + obtained using SPME.  Different values of the cutoff radius are
888 + indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
889 + and 15\AA\ = inverted triangles).}
890 + \label{fig:frcTrqAng}
891 + \end{figure}
892 +
893 + Both the force and torque $\sigma^2$ results from the analysis of the
894 + total accumulated system data are tabulated in figure
895 + \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
896 + sp}) method would be essentially unusable for molecular dynamics until
897 + the damping function is added.  The Shifted Force ({\sc sf}) method,
898 + however, is generating force and torque vectors which are within a few
899 + degrees of the Ewald results even with weak (or no) damping.
900 +
901 + All of the sets (aside from the over-damped case) show the improvement
902 + afforded by choosing a larger cutoff radius.  Increasing the cutoff
903 + from 9 to 12 \AA\ typically results in a halving of the width of the
904 + distribution, with a similar improvement going from 12 to 15
905 + \AA .
906 +
907 + The undamped {\sc sf}, group-based cutoff, and reaction field methods
908 + all do equivalently well at capturing the direction of both the force
909 + and torque vectors.  Using damping improves the angular behavior
910 + significantly for the {\sc sp} and moderately for the {\sc sf}
911 + methods.  Overdamping is detrimental to both methods.  Again it is
912 + important to recognize that the force vectors cover all particles in
913 + the systems, while torque vectors are only available for neutral
914 + molecular groups.  Damping appears to have a more beneficial effect on
915 + charged bodies, and this observation is investigated further in the
916 + accompanying supporting information.
917 +
918 + Although not discussed previously, group based cutoffs can be applied
919 + to both the {\sc sp} and {\sc sf} methods.  Use of a switching
920 + function corrects for the discontinuities that arise when atoms of the
921 + two groups exit the cutoff radius before the group centers leave each
922 + other's cutoff. Though there are no significant benefits or drawbacks
923 + observed in $\Delta E$ and vector magnitude results when doing this,
924 + there is a measurable improvement in the vector angle results.  Table
925 + \ref{tab:groupAngle} shows the angular variance values obtained using
926 + group based cutoffs and a switching function alongside the results
927 + seen in figure \ref{fig:frcTrqAng}.  The {\sc sp} shows much narrower
928 + angular distributions for both the force and torque vectors when using
929 + an $\alpha$ of 0.2 \AA$^{-1}$ or less, while {\sc sf} shows
930 + improvements in the undamped and lightly damped cases.  Thus, by
931 + calculating the electrostatic interactions in terms of molecular pairs
932 + rather than atomic pairs, the direction of the force and torque
933 + vectors can be determined more accurately.
934 +
935 + \begin{table}[htbp]
936 +   \centering
937 +   \caption{Variance ($\sigma^2$) of the force (top set) and torque
938 + (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$^2$.}      
939 +   \begin{tabular}{@{} ccrrrrrrrr @{}}
940 +      \\
941 +      \toprule
942 +      & & \multicolumn{4}{c}{Shifted Potential} & \multicolumn{4}{c}{Shifted Force} \\
943 +      \cmidrule(lr){3-6}
944 +      \cmidrule(l){7-10}
945 +            $R_\textrm{c}$ & Groups & $\alpha = 0$ & $\alpha = 0.1$ & $\alpha = 0.2$ & $\alpha = 0.3$ & $\alpha = 0$ & $\alpha = 0.1$ & $\alpha = 0.2$ & $\alpha = 0.3$\\
946 +      \midrule
947 +    
948 + 9 \AA   & N & 29.545 & 12.003 & 5.489 & 0.610 & 2.323 & 2.321 & 0.429 & 0.603 \\
949 +        & \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} \\
950 + 12 \AA  & N & 19.381 & 3.097 & 0.190 & 0.608 & 0.920 & 0.736 & 0.133 & 0.612 \\
951 +        & \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} \\
952 + 15 \AA  & N & 12.700 & 1.196 & 0.123 & 0.601 & 0.339 & 0.160 & 0.123 & 0.601 \\
953 +        & \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} \\      
954 +
955 +      \midrule
956 +      
957 + 9 \AA   & N & 262.716 & 116.585 & 5.234 & 5.103 & 2.392 & 2.350 & 1.770 & 5.122 \\
958 +        & \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} \\
959 + 12 \AA  & N & 129.576 & 25.560 & 1.369 & 5.080 & 0.913 & 0.790 & 1.362 & 5.124 \\
960 +        & \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} \\
961 + 15 \AA  & N & 87.275 & 4.473 & 1.271 & 5.000 & 0.372 & 0.312 & 1.271 & 5.000 \\
962 +        & \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} \\
963 +
964 +      \bottomrule
965 +   \end{tabular}
966 +   \label{tab:groupAngle}
967 + \end{table}
968 +
969 + One additional trend to recognize in table \ref{tab:groupAngle} is
970 + that the $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as
971 + $\alpha$ increases, something that is easier to see when using group
972 + based cutoffs.  The reason for this is that the complimentary error
973 + function inserted into the potential weakens the electrostatic
974 + interaction as $\alpha$ increases.  Thus, at larger values of
975 + $\alpha$, both summation methods progress toward non-interacting
976 + functions, so care is required in choosing large damping functions
977 + lest one generate an undesirable loss in the pair interaction.  Kast
978 + \textit{et al.}  developed a method for choosing appropriate $\alpha$
979 + values for these types of electrostatic summation methods by fitting
980 + to $g(r)$ data, and their methods indicate optimal values of 0.34,
981 + 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
982 + respectively.\cite{Kast03} These appear to be reasonable choices to
983 + obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
984 + these findings, choices this high would introduce error in the
985 + molecular torques, particularly for the shorter cutoffs.  Based on the
986 + above findings, empirical damping up to 0.2 \AA$^{-1}$ proves to be
987 + beneficial, but damping may be unnecessary when using the {\sc sf}
988 + method.
989 +
990 + \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
991 +
992 + Zahn {\it et al.} investigated the structure and dynamics of water
993 + using eqs. (\ref{eq:ZahnPot}) and
994 + (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
995 + that a method similar (but not identical with) the damped {\sc sf}
996 + method resulted in properties very similar to those obtained when
997 + using the Ewald summation.  The properties they studied (pair
998 + distribution functions, diffusion constants, and velocity and
999 + orientational correlation functions) may not be particularly sensitive
1000 + to the long-range and collective behavior that governs the
1001 + low-frequency behavior in crystalline systems.
1002 +
1003 + We are using two separate measures to probe the effects of these
1004 + alternative electrostatic methods on the dynamics in crystalline
1005 + materials.  For short- and intermediate-time dynamics, we are
1006 + computing the velocity autocorrelation function, and for long-time
1007 + and large length-scale collective motions, we are looking at the
1008 + low-frequency portion of the power spectrum.
1009 +
1010 + \begin{figure}
1011 + \centering
1012 + \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
1013 + \caption{Velocity auto-correlation functions of NaCl crystals at
1014 + 1000 K using SPME, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
1015 + sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
1016 + the first minimum.  The times to first collision are nearly identical,
1017 + but differences can be seen in the peaks and troughs, where the
1018 + undamped and weakly damped methods are stiffer than the moderately
1019 + damped and SPME methods.}
1020 + \label{fig:vCorrPlot}
1021 + \end{figure}
1022 +
1023 + The short-time decays through the first collision are nearly identical
1024 + in figure \ref{fig:vCorrPlot}, but the peaks and troughs of the
1025 + functions show how the methods differ.  The undamped {\sc sf} method
1026 + has deeper troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher
1027 + peaks than any of the other methods.  As the damping function is
1028 + increased, these peaks are smoothed out, and approach the SPME
1029 + curve. The damping acts as a distance dependent Gaussian screening of
1030 + the point charges for the pairwise summation methods; thus, the
1031 + collisions are more elastic in the undamped {\sc sf} potential, and the
1032 + stiffness of the potential is diminished as the electrostatic
1033 + interactions are softened by the damping function.  With $\alpha$
1034 + values of 0.2 \AA$^{-1}$, the {\sc sf} and {\sc sp} functions are
1035 + nearly identical and track the SPME features quite well.  This is not
1036 + too surprising in that the differences between the {\sc sf} and {\sc
1037 + sp} potentials are mitigated with increased damping.  However, this
1038 + appears to indicate that once damping is utilized, the form of the
1039 + potential seems to play a lesser role in the crystal dynamics.
1040 +
1041 + \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1042 +
1043 + The short time dynamics were extended to evaluate how the differences
1044 + between the methods affect the collective long-time motion.  The same
1045 + electrostatic summation methods were used as in the short time
1046 + velocity autocorrelation function evaluation, but the trajectories
1047 + were sampled over a much longer time. The power spectra of the
1048 + resulting velocity autocorrelation functions were calculated and are
1049 + displayed in figure \ref{fig:methodPS}.
1050 +
1051 + \begin{figure}
1052 + \centering
1053 + \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1054 + \caption{Power spectra obtained from the velocity auto-correlation
1055 + functions of NaCl crystals at 1000 K while using SPME, {\sc sf}
1056 + ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).
1057 + Apodization of the correlation functions via a cubic switching
1058 + function between 40 and 50 ps was used to clear up the spectral noise
1059 + resulting from data truncation, and had no noticeable effect on peak
1060 + location or magnitude.  The inset shows the frequency region below 100
1061 + cm$^{-1}$ to highlight where the spectra begin to differ.}
1062 + \label{fig:methodPS}
1063 + \end{figure}
1064 +
1065 + While high frequency peaks of the spectra in this figure overlap,
1066 + showing the same general features, the low frequency region shows how
1067 + the summation methods differ.  Considering the low-frequency inset
1068 + (expanded in the upper frame of figure \ref{fig:dampInc}), at
1069 + frequencies below 100 cm$^{-1}$, the correlated motions are
1070 + blue-shifted when using undamped or weakly damped {\sc sf}.  When
1071 + using moderate damping ($\alpha = 0.2$ \AA$^{-1}$) both the {\sc sf}
1072 + and {\sc sp} methods give near identical correlated motion behavior as
1073 + the Ewald method (which has a damping value of 0.3119).  This
1074 + weakening of the electrostatic interaction with increased damping
1075 + explains why the long-ranged correlated motions are at lower
1076 + frequencies for the moderately damped methods than for undamped or
1077 + weakly damped methods.  To see this effect more clearly, we show how
1078 + damping strength alone affects a simple real-space electrostatic
1079 + potential,
1080 + \begin{equation}
1081 + V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r})}{r}\right]S(r),
1082 + \end{equation}
1083 + where $S(r)$ is a switching function that smoothly zeroes the
1084 + potential at the cutoff radius.  Figure \ref{fig:dampInc} shows how
1085 + the low frequency motions are dependent on the damping used in the
1086 + direct electrostatic sum.  As the damping increases, the peaks drop to
1087 + lower frequencies.  Incidentally, use of an $\alpha$ of 0.25
1088 + \AA$^{-1}$ on a simple electrostatic summation results in low
1089 + frequency correlated dynamics equivalent to a simulation using SPME.
1090 + When the coefficient lowers to 0.15 \AA$^{-1}$ and below, these peaks
1091 + shift to higher frequency in exponential fashion.  Though not shown,
1092 + the spectrum for the simple undamped electrostatic potential is
1093 + blue-shifted such that the lowest frequency peak resides near 325
1094 + cm$^{-1}$.  In light of these results, the undamped {\sc sf} method
1095 + producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is quite
1096 + respectable and shows that the shifted force procedure accounts for
1097 + most of the effect afforded through use of the Ewald summation.
1098 + However, it appears as though moderate damping is required for
1099 + accurate reproduction of crystal dynamics.
1100 + \begin{figure}
1101 + \centering
1102 + \includegraphics[width = \linewidth]{./comboSquare.pdf}
1103 + \caption{Regions of spectra showing the low-frequency correlated
1104 + motions for NaCl crystals at 1000 K using various electrostatic
1105 + summation methods.  The upper plot is a zoomed inset from figure
1106 + \ref{fig:methodPS}.  As the damping value for the {\sc sf} potential
1107 + increases, the low-frequency peaks red-shift.  The lower plot is of
1108 + spectra when using SPME and a simple damped Coulombic sum with damping
1109 + coefficients ($\alpha$) ranging from 0.15 to 0.3 \AA$^{-1}$.  As
1110 + $\alpha$ increases, the peaks are red-shifted toward and eventually
1111 + beyond the values given by SPME.  The larger $\alpha$ values weaken
1112 + the real-space electrostatics, explaining this shift towards less
1113 + strongly correlated motions in the crystal.}
1114 + \label{fig:dampInc}
1115 + \end{figure}
1116 +
1117   \section{Conclusions}
1118  
1119 < \section{Acknowledgments}
1119 > This investigation of pairwise electrostatic summation techniques
1120 > shows that there are viable and more computationally efficient
1121 > electrostatic summation techniques than the Ewald summation, chiefly
1122 > methods derived from the damped Coulombic sum originally proposed by
1123 > Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular, the
1124 > {\sc sf} method, reformulated above as eq. (\ref{eq:DSFPot}),
1125 > shows a remarkable ability to reproduce the energetic and dynamic
1126 > characteristics exhibited by simulations employing lattice summation
1127 > techniques.  The cumulative energy difference results showed the
1128 > undamped {\sc sf} and moderately damped {\sc sp} methods
1129 > produced results nearly identical to SPME.  Similarly for the dynamic
1130 > features, the undamped or moderately damped {\sc sf} and
1131 > moderately damped {\sc sp} methods produce force and torque
1132 > vector magnitude and directions very similar to the expected values.
1133 > These results translate into long-time dynamic behavior equivalent to
1134 > that produced in simulations using SPME.
1135  
1136 < \newpage
1136 > Aside from the computational cost benefit, these techniques have
1137 > applicability in situations where the use of the Ewald sum can prove
1138 > problematic.  Primary among them is their use in interfacial systems,
1139 > where the unmodified lattice sum techniques artificially accentuate
1140 > the periodicity of the system in an undesirable manner.  There have
1141 > been alterations to the standard Ewald techniques, via corrections and
1142 > reformulations, to compensate for these systems; but the pairwise
1143 > techniques discussed here require no modifications, making them
1144 > natural tools to tackle these problems.  Additionally, this
1145 > transferability gives them benefits over other pairwise methods, like
1146 > reaction field, because estimations of physical properties (e.g. the
1147 > dielectric constant) are unnecessary.
1148  
1149 < \bibliographystyle{achemso}
1149 > We are not suggesting any flaw with the Ewald sum; in fact, it is the
1150 > standard by which these simple pairwise sums are judged.  However,
1151 > these results do suggest that in the typical simulations performed
1152 > today, the Ewald summation may no longer be required to obtain the
1153 > level of accuracy most researchers have come to expect
1154 >
1155 > \section{Acknowledgments}
1156 > \newpage
1157 >
1158 > \bibliographystyle{jcp2}
1159   \bibliography{electrostaticMethods}
1160  
1161  

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