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13 < %\usepackage{berkeley}
13 > \usepackage{booktabs}
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33  
34   \begin{document}
35  
36 < \title{On the necessity of the Ewald Summation in molecular simulations.}
36 > \title{Is the Ewald summation still necessary? \\
37 > Pairwise alternatives to the accepted standard \\
38 > for long-range electrostatics}
39  
40 < \author{Christopher J. Fennell and J. Daniel Gezelter \\
40 > \author{Christopher J. Fennell and J. Daniel Gezelter\footnote{Corresponding author. \ Electronic mail:
41 > gezelter@nd.edu} \\
42   Department of Chemistry and Biochemistry\\
43   University of Notre Dame\\
44   Notre Dame, Indiana 46556}
# Line 34 | Line 49 | Notre Dame, Indiana 46556}
49   %\doublespacing
50  
51   \begin{abstract}
52 + We investigate pairwise electrostatic interaction methods and show
53 + that there are viable and computationally efficient $(\mathscr{O}(N))$
54 + alternatives to the Ewald summation for typical modern molecular
55 + simulations.  These methods are extended from the damped and
56 + cutoff-neutralized Coulombic sum originally proposed by
57 + [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
58 + a remarkable ability to reproduce the energetic and dynamic
59 + characteristics exhibited by simulations employing lattice summation
60 + techniques.  Comparisons were performed with this and other pairwise
61 + methods against the smooth particle mesh Ewald ({\sc spme}) summation
62 + to see how well they reproduce the energetics and dynamics of a
63 + variety of molecular simulations.
64   \end{abstract}
65  
66 + \newpage
67 +
68   %\narrowtext
69  
70 < %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
70 > %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
71   %                              BODY OF TEXT
72 < %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
72 > %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
73  
74   \section{Introduction}
75  
76 < In this paper, a variety of simulation situations were analyzed to determine the relative effectiveness of the adapted Wolf spherical truncation schemes at reproducing the results obtained using a smooth particle mesh Ewald (SPME) summation technique.  In addition to the Shifted-Potential (SP) and Shifted-Force (SF) adapted Wolf methods, both reaction field and uncorrected cutoff methods were included for comparison purposes.  The general usability of these methods in both Monte Carlo (MC) and Molecular Dynamics (MD) calculations was assessed through statistical analysis over the combined results from all of the following studied systems:
77 < \begin{list}{-}{}
78 < \item Liquid Water
79 < \item Crystalline Water (Ice I$_\textrm{c}$)
80 < \item 1 M Solution of NaCl in Water
81 < \item 10 M Solution of NaCl in Water
82 < \item 6 \AA\  Radius Sphere of Argon in Water
83 < \item NaCl Crystal
84 < \item NaCl Melt
85 < \end{list}
86 < Additional discussion on the results from the individual systems was also performed to identify limitations of the considered methods in specific systems.
76 > In molecular simulations, proper accumulation of the electrostatic
77 > interactions is essential and is one of the most
78 > computationally-demanding tasks.  The common molecular mechanics force
79 > fields represent atomic sites with full or partial charges protected
80 > by Lennard-Jones (short range) interactions.  This means that nearly
81 > every pair interaction involves a calculation of charge-charge forces.
82 > Coupled with relatively long-ranged $r^{-1}$ decay, the monopole
83 > interactions quickly become the most expensive part of molecular
84 > simulations.  Historically, the electrostatic pair interaction would
85 > not have decayed appreciably within the typical box lengths that could
86 > be feasibly simulated.  In the larger systems that are more typical of
87 > modern simulations, large cutoffs should be used to incorporate
88 > electrostatics correctly.
89  
90 < \section{Methods}
90 > There have been many efforts to address the proper and practical
91 > handling of electrostatic interactions, and these have resulted in a
92 > variety of techniques.\cite{Roux99,Sagui99,Tobias01} These are
93 > typically classified as implicit methods (i.e., continuum dielectrics,
94 > static dipolar fields),\cite{Born20,Grossfield00} explicit methods
95 > (i.e., Ewald summations, interaction shifting or
96 > truncation),\cite{Ewald21,Steinbach94} or a mixture of the two (i.e.,
97 > reaction field type methods, fast multipole
98 > methods).\cite{Onsager36,Rokhlin85} The explicit or mixed methods are
99 > often preferred because they physically incorporate solvent molecules
100 > in the system of interest, but these methods are sometimes difficult
101 > to utilize because of their high computational cost.\cite{Roux99} In
102 > addition to the computational cost, there have been some questions
103 > regarding possible artifacts caused by the inherent periodicity of the
104 > explicit Ewald summation.\cite{Tobias01}
105  
106 < In each of the simulated systems, 500 distinct configurations were generated, and the electrostatic summation methods were compared via sequential application on each of these fixed configurations.  The methods compared include SPME, the aforementioned SP and SF methods - both with damping parameters ($\alpha$) of 0, 0.1, 0.2, and 0.3 \AA$^{-1}$, reaction field with an infinite dielectric constant, and an unmodified cutoff.  Group-based cutoffs with a fifth-order polynomial switching function were necessary for the reaction field simulations and were utilized in the SP, SF, and pure cutoff methods for comparison to the standard lack of group-based cutoffs with a hard truncation.  
106 > In this paper, we focus on a new set of pairwise methods devised by
107 > Wolf {\it et al.},\cite{Wolf99} which we further extend.  These
108 > methods along with a few other mixed methods (i.e. reaction field) are
109 > compared with the smooth particle mesh Ewald
110 > sum,\cite{Onsager36,Essmann99} which is our reference method for
111 > handling long-range electrostatic interactions. The new methods for
112 > handling electrostatics have the potential to scale linearly with
113 > increasing system size since they involve only a simple modification
114 > to the direct pairwise sum.  They also lack the added periodicity of
115 > the Ewald sum, so they can be used for systems which are non-periodic
116 > or which have one- or two-dimensional periodicity.  Below, these
117 > methods are evaluated using a variety of model systems to
118 > establish their usability in molecular simulations.
119  
120 < Generation of the system configurations was dependent on the system type.  For the solid and liquid water configurations, configuration snapshots were taken at regular intervals from higher temperature 1000 SPC/E water molecule trajectories and individually equilibrated.  The solid and liquid NaCl systems consisted of 500 Na+ and 500 Cl- ions and were selected and equilibrated in the same fashion as the water systems.  For the 1 and 10 M NaCl solutions, 4 and 40 ions, respectively, were first solvated in a 1000 water molecule boxes.  Ion and water positions were then randomly swapped, and the resulting configurations were again individually equilibrated.  Finally, for the Argon/Water "charge void" systems, the identities of all the SPC/E waters within 6 \AA\ of the center of the equilibrated water configurations were converted to argon (Fig. \ref{argonSlice}).
120 > \subsection{The Ewald Sum}
121 > The complete accumulation of the electrostatic interactions in a system with
122 > periodic boundary conditions (PBC) requires the consideration of the
123 > effect of all charges within a (cubic) simulation box as well as those
124 > in the periodic replicas,
125 > \begin{equation}
126 > 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],
127 > \label{eq:PBCSum}
128 > \end{equation}
129 > where the sum over $\mathbf{n}$ is a sum over all periodic box
130 > replicas with integer coordinates $\mathbf{n} = (l,m,n)$, and the
131 > prime indicates $i = j$ are neglected for $\mathbf{n} =
132 > 0$.\cite{deLeeuw80} Within the sum, $N$ is the number of electrostatic
133 > particles, $\mathbf{r}_{ij}$ is $\mathbf{r}_j - \mathbf{r}_i$, $L$ is
134 > the cell length, $\bm{\Omega}_{i,j}$ are the Euler angles for $i$ and
135 > $j$, and $\phi$ is the solution to Poisson's equation
136 > ($\phi(\mathbf{r}_{ij}) = q_i q_j |\mathbf{r}_{ij}|^{-1}$ for
137 > charge-charge interactions). In the case of monopole electrostatics,
138 > eq. (\ref{eq:PBCSum}) is conditionally convergent and is divergent for
139 > non-neutral systems.
140  
141 + The electrostatic summation problem was originally studied by Ewald
142 + for the case of an infinite crystal.\cite{Ewald21}. The approach he
143 + took was to convert this conditionally convergent sum into two
144 + absolutely convergent summations: a short-ranged real-space summation
145 + and a long-ranged reciprocal-space summation,
146 + \begin{equation}
147 + \begin{split}
148 + 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,
149 + \end{split}
150 + \label{eq:EwaldSum}
151 + \end{equation}
152 + where $\alpha$ is the damping or convergence parameter with units of
153 + \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and are equal to
154 + $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
155 + constant of the surrounding medium. The final two terms of
156 + eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
157 + for interacting with a surrounding dielectric.\cite{Allen87} This
158 + dipolar term was neglected in early applications in molecular
159 + simulations,\cite{Brush66,Woodcock71} until it was introduced by de
160 + Leeuw {\it et al.} to address situations where the unit cell has a
161 + dipole moment which is magnified through replication of the periodic
162 + images.\cite{deLeeuw80,Smith81} If this term is taken to be zero, the
163 + system is said to be using conducting (or ``tin-foil'') boundary
164 + conditions, $\epsilon_{\rm S} = \infty$. Figure
165 + \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
166 + time.  Initially, due to the small system sizes that could be
167 + simulated feasibly, the entire simulation box was replicated to
168 + convergence.  In more modern simulations, the systems have grown large
169 + enough that a real-space cutoff could potentially give convergent
170 + behavior.  Indeed, it has been observed that with the choice of a
171 + small $\alpha$, the reciprocal-space portion of the Ewald sum can be
172 + rapidly convergent and small relative to the real-space
173 + portion.\cite{Karasawa89,Kolafa92}
174 +
175   \begin{figure}
176   \centering
177 < \includegraphics[width=3.25in]{./slice.pdf}
178 < \caption{A slice from the center of a water box used in a charge void simulation.  The darkened region represents the boundary sphere within which the water molecules were converted to argon atoms.}
179 < \label{argonSlice}
177 > \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
178 > \caption{The change in the need for the Ewald sum with
179 > increasing computational power.  A:~Initially, only small systems
180 > could be studied, and the Ewald sum replicated the simulation box to
181 > convergence.  B:~Now, radial cutoff methods should be able to reach
182 > convergence for the larger systems of charges that are common today.}
183 > \label{fig:ewaldTime}
184   \end{figure}
185  
186 < All of these comparisons were performed with three different cutoff radii (9, 12, and 15 \AA) to investigate the cutoff radius dependence of the various techniques.  It should be noted that the damping parameter chosen in SPME, or so called ``Ewald Coefficient", has a significant effect on the energies and forces calculated.  Typical molecular mechanics packages default this to a value dependent on the cutoff radius and a tolerance (typically less than $1 \times 10^{-5}$ kcal/mol).  We chose a tolerance of $1 \times 10^{-8}$, resulting in Ewald Coefficients of 0.4200, 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\ respectively.
186 > The original Ewald summation is an $\mathscr{O}(N^2)$ algorithm.  The
187 > convergence parameter $(\alpha)$ plays an important role in balancing
188 > the computational cost between the direct and reciprocal-space
189 > portions of the summation.  The choice of this value allows one to
190 > select whether the real-space or reciprocal space portion of the
191 > summation is an $\mathscr{O}(N^2)$ calculation (with the other being
192 > $\mathscr{O}(N)$).\cite{Sagui99} With the appropriate choice of
193 > $\alpha$ and thoughtful algorithm development, this cost can be
194 > reduced to $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route
195 > taken to reduce the cost of the Ewald summation even further is to set
196 > $\alpha$ such that the real-space interactions decay rapidly, allowing
197 > for a short spherical cutoff. Then the reciprocal space summation is
198 > optimized.  These optimizations usually involve utilization of the
199 > fast Fourier transform (FFT),\cite{Hockney81} leading to the
200 > particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
201 > methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
202 > methods, the cost of the reciprocal-space portion of the Ewald
203 > summation is reduced from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N
204 > \log N)$.
205  
206 < \section{Results and Discussion}
206 > These developments and optimizations have made the use of the Ewald
207 > summation routine in simulations with periodic boundary
208 > conditions. However, in certain systems, such as vapor-liquid
209 > interfaces and membranes, the intrinsic three-dimensional periodicity
210 > can prove problematic.  The Ewald sum has been reformulated to handle
211 > 2-D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89} but these
212 > methods are computationally expensive.\cite{Spohr97,Yeh99} More
213 > recently, there have been several successful efforts toward reducing
214 > the computational cost of 2-D lattice
215 > summations,\cite{Yeh99,Kawata01,Arnold02,deJoannis02,Brodka04}
216 > bringing them more in line with the cost of the full 3-D summation.
217  
218 < In order to evaluate the performance of the adapted Wolf SP and SF electrostatic summation methods for Monte Carlo simulations, the energy differences between configurations need to be compared to the results using SPME.  Considering the SPME results to be the correct or desired behavior, ideal performance of a tested method is taken to be agreement between the energy differences calculated.  Linear least squares regression of the $\Delta$E values between configurations using SPME against $\Delta$E values using tested methods provides a quantitative comparison of this agreement.  Unitary results for both the correlation and correlation coefficient for these regressions indicate equivalent energetic results between the methods.  The correlation is the slope of the plotted data while the correlation coefficient ($R^2$) is a measure of the of the data scatter around the fitted line and gives an idea of the quality of the fit (Fig. \ref{linearFit}).
218 >
219 > Several studies have recognized that the inherent periodicity in the
220 > Ewald sum can also have an effect on three-dimensional
221 > systems.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
222 > Solvated proteins are essentially kept at high concentration due to
223 > the periodicity of the electrostatic summation method.  In these
224 > systems, the more compact folded states of a protein can be
225 > artificially stabilized by the periodic replicas introduced by the
226 > Ewald summation.\cite{Weber00} Thus, care must be taken when
227 > considering the use of the Ewald summation where the assumed
228 > periodicity would introduce spurious effects in the system dynamics.
229  
230 + \subsection{The Wolf and Zahn Methods}
231 + In a recent paper by Wolf \textit{et al.}, a procedure was outlined
232 + for the accurate accumulation of electrostatic interactions in an
233 + efficient pairwise fashion.  This procedure lacks the inherent
234 + periodicity of the Ewald summation.\cite{Wolf99} Wolf \textit{et al.}
235 + observed that the electrostatic interaction is effectively
236 + short-ranged in condensed phase systems and that neutralization of the
237 + charge contained within the cutoff radius is crucial for potential
238 + stability. They devised a pairwise summation method that ensures
239 + charge neutrality and gives results similar to those obtained with the
240 + Ewald summation.  The resulting shifted Coulomb potential includes
241 + image-charges subtracted out through placement on the cutoff sphere
242 + and a distance-dependent damping function (identical to that seen in
243 + the real-space portion of the Ewald sum) to aid convergence
244 + \begin{equation}
245 + 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\}.
246 + \label{eq:WolfPot}
247 + \end{equation}
248 + Eq. (\ref{eq:WolfPot}) is essentially the common form of a shifted
249 + potential.  However, neutralizing the charge contained within each
250 + cutoff sphere requires the placement of a self-image charge on the
251 + surface of the cutoff sphere.  This additional self-term in the total
252 + potential enabled Wolf {\it et al.}  to obtain excellent estimates of
253 + Madelung energies for many crystals.
254 +
255 + In order to use their charge-neutralized potential in molecular
256 + dynamics simulations, Wolf \textit{et al.} suggested taking the
257 + derivative of this potential prior to evaluation of the limit.  This
258 + procedure gives an expression for the forces,
259 + \begin{equation}
260 + 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\},
261 + \label{eq:WolfForces}
262 + \end{equation}
263 + that incorporates both image charges and damping of the electrostatic
264 + interaction.
265 +
266 + More recently, Zahn \textit{et al.} investigated these potential and
267 + force expressions for use in simulations involving water.\cite{Zahn02}
268 + In their work, they pointed out that the forces and derivative of
269 + the potential are not commensurate.  Attempts to use both
270 + eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
271 + to poor energy conservation.  They correctly observed that taking the
272 + limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
273 + derivatives gives forces for a different potential energy function
274 + than the one shown in eq. (\ref{eq:WolfPot}).
275 +
276 + Zahn \textit{et al.} introduced a modified form of this summation
277 + method as a way to use the technique in Molecular Dynamics
278 + simulations.  They proposed a new damped Coulomb potential,
279 + \begin{equation}
280 + 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\},
281 + \label{eq:ZahnPot}
282 + \end{equation}
283 + and showed that this potential does fairly well at capturing the
284 + structural and dynamic properties of water compared the same
285 + properties obtained using the Ewald sum.
286 +
287 + \subsection{Simple Forms for Pairwise Electrostatics}
288 +
289 + The potentials proposed by Wolf \textit{et al.} and Zahn \textit{et
290 + al.} are constructed using two different (and separable) computational
291 + tricks: \begin{enumerate}
292 + \item shifting through the use of image charges, and
293 + \item damping the electrostatic interaction.
294 + \end{enumerate}  Wolf \textit{et al.} treated the
295 + development of their summation method as a progressive application of
296 + these techniques,\cite{Wolf99} while Zahn \textit{et al.} founded
297 + their damped Coulomb modification (Eq. (\ref{eq:ZahnPot})) on the
298 + post-limit forces (Eq. (\ref{eq:WolfForces})) which were derived using
299 + both techniques.  It is possible, however, to separate these
300 + tricks and study their effects independently.
301 +
302 + Starting with the original observation that the effective range of the
303 + electrostatic interaction in condensed phases is considerably less
304 + than $r^{-1}$, either the cutoff sphere neutralization or the
305 + distance-dependent damping technique could be used as a foundation for
306 + a new pairwise summation method.  Wolf \textit{et al.} made the
307 + observation that charge neutralization within the cutoff sphere plays
308 + a significant role in energy convergence; therefore we will begin our
309 + analysis with the various shifted forms that maintain this charge
310 + neutralization.  We can evaluate the methods of Wolf
311 + \textit{et al.}  and Zahn \textit{et al.} by considering the standard
312 + shifted potential,
313 + \begin{equation}
314 + V_\textrm{SP}(r) =      \begin{cases}
315 + v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
316 + R_\textrm{c}  
317 + \end{cases},
318 + \label{eq:shiftingPotForm}
319 + \end{equation}
320 + and shifted force,
321 + \begin{equation}
322 + V_\textrm{SF}(r) =      \begin{cases}
323 + v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
324 + &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
325 +                                                \end{cases},
326 + \label{eq:shiftingForm}
327 + \end{equation}
328 + functions where $v(r)$ is the unshifted form of the potential, and
329 + $v_c$ is $v(R_\textrm{c})$.  The Shifted Force ({\sc sf}) form ensures
330 + that both the potential and the forces goes to zero at the cutoff
331 + radius, while the Shifted Potential ({\sc sp}) form only ensures the
332 + potential is smooth at the cutoff radius
333 + ($R_\textrm{c}$).\cite{Allen87}
334 +
335 + The forces associated with the shifted potential are simply the forces
336 + of the unshifted potential itself (when inside the cutoff sphere),
337 + \begin{equation}
338 + F_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
339 + \end{equation}
340 + and are zero outside.  Inside the cutoff sphere, the forces associated
341 + with the shifted force form can be written,
342 + \begin{equation}
343 + F_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
344 + v(r)}{dr} \right)_{r=R_\textrm{c}}.
345 + \end{equation}
346 +
347 + If the potential, $v(r)$, is taken to be the normal Coulomb potential,
348 + \begin{equation}
349 + v(r) = \frac{q_i q_j}{r},
350 + \label{eq:Coulomb}
351 + \end{equation}
352 + then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
353 + al.}'s undamped prescription:
354 + \begin{equation}
355 + V_\textrm{SP}(r) =
356 + q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
357 + r\leqslant R_\textrm{c},
358 + \label{eq:SPPot}
359 + \end{equation}
360 + with associated forces,
361 + \begin{equation}
362 + F_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
363 + \label{eq:SPForces}
364 + \end{equation}
365 + These forces are identical to the forces of the standard Coulomb
366 + interaction, and cutting these off at $R_c$ was addressed by Wolf
367 + \textit{et al.} as undesirable.  They pointed out that the effect of
368 + the image charges is neglected in the forces when this form is
369 + used,\cite{Wolf99} thereby eliminating any benefit from the method in
370 + molecular dynamics.  Additionally, there is a discontinuity in the
371 + forces at the cutoff radius which results in energy drift during MD
372 + simulations.
373 +
374 + The shifted force ({\sc sf}) form using the normal Coulomb potential
375 + will give,
376 + \begin{equation}
377 + 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}.
378 + \label{eq:SFPot}
379 + \end{equation}
380 + with associated forces,
381 + \begin{equation}
382 + 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}.
383 + \label{eq:SFForces}
384 + \end{equation}
385 + This formulation has the benefits that there are no discontinuities at
386 + the cutoff radius, while the neutralizing image charges are present in
387 + both the energy and force expressions.  It would be simple to add the
388 + self-neutralizing term back when computing the total energy of the
389 + system, thereby maintaining the agreement with the Madelung energies.
390 + A side effect of this treatment is the alteration in the shape of the
391 + potential that comes from the derivative term.  Thus, a degree of
392 + clarity about agreement with the empirical potential is lost in order
393 + to gain functionality in dynamics simulations.
394 +
395 + Wolf \textit{et al.} originally discussed the energetics of the
396 + shifted Coulomb potential (Eq. \ref{eq:SPPot}) and found that it was
397 + insufficient for accurate determination of the energy with reasonable
398 + cutoff distances.  The calculated Madelung energies fluctuated around
399 + the expected value as the cutoff radius was increased, but the
400 + oscillations converged toward the correct value.\cite{Wolf99} A
401 + damping function was incorporated to accelerate the convergence; and
402 + though alternative forms for the damping function could be
403 + used,\cite{Jones56,Heyes81} the complimentary error function was
404 + chosen to mirror the effective screening used in the Ewald summation.
405 + Incorporating this error function damping into the simple Coulomb
406 + potential,
407 + \begin{equation}
408 + v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
409 + \label{eq:dampCoulomb}
410 + \end{equation}
411 + the shifted potential (eq. (\ref{eq:SPPot})) becomes
412 + \begin{equation}
413 + 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},
414 + \label{eq:DSPPot}
415 + \end{equation}
416 + with associated forces,
417 + \begin{equation}
418 + 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}.
419 + \label{eq:DSPForces}
420 + \end{equation}
421 + Again, this damped shifted potential suffers from a
422 + force-discontinuity at the cutoff radius, and the image charges play
423 + no role in the forces.  To remedy these concerns, one may derive a
424 + {\sc sf} variant by including the derivative term in
425 + eq. (\ref{eq:shiftingForm}),
426 + \begin{equation}
427 + \begin{split}
428 + 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}.
429 + \label{eq:DSFPot}
430 + \end{split}
431 + \end{equation}
432 + The derivative of the above potential will lead to the following forces,
433 + \begin{equation}
434 + \begin{split}
435 + 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}.
436 + \label{eq:DSFForces}
437 + \end{split}
438 + \end{equation}
439 + If the damping parameter $(\alpha)$ is set to zero, the undamped case,
440 + eqs. (\ref{eq:SPPot} through \ref{eq:SFForces}) are correctly
441 + recovered from eqs. (\ref{eq:DSPPot} through \ref{eq:DSFForces}).
442 +
443 + This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
444 + derived by Zahn \textit{et al.}; however, there are two important
445 + differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from
446 + eq. (\ref{eq:shiftingForm}) is equal to eq. (\ref{eq:dampCoulomb})
447 + with $r$ replaced by $R_\textrm{c}$.  This term is {\it not} present
448 + in the Zahn potential, resulting in a potential discontinuity as
449 + particles cross $R_\textrm{c}$.  Second, the sign of the derivative
450 + portion is different.  The missing $v_\textrm{c}$ term would not
451 + affect molecular dynamics simulations (although the computed energy
452 + would be expected to have sudden jumps as particle distances crossed
453 + $R_c$).  The sign problem is a potential source of errors, however.
454 + In fact, it introduces a discontinuity in the forces at the cutoff,
455 + because the force function is shifted in the wrong direction and
456 + doesn't cross zero at $R_\textrm{c}$.
457 +
458 + Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
459 + electrostatic summation method in which the potential and forces are
460 + continuous at the cutoff radius and which incorporates the damping
461 + function proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of
462 + this paper, we will evaluate exactly how good these methods ({\sc sp},
463 + {\sc sf}, damping) are at reproducing the correct electrostatic
464 + summation performed by the Ewald sum.
465 +
466 + \subsection{Other alternatives}
467 + In addition to the methods described above, we considered some other
468 + techniques that are commonly used in molecular simulations.  The
469 + simplest of these is group-based cutoffs.  Though of little use for
470 + charged molecules, collecting atoms into neutral groups takes
471 + advantage of the observation that the electrostatic interactions decay
472 + faster than those for monopolar pairs.\cite{Steinbach94} When
473 + considering these molecules as neutral groups, the relative
474 + orientations of the molecules control the strength of the interactions
475 + at the cutoff radius.  Consequently, as these molecular particles move
476 + through $R_\textrm{c}$, the energy will drift upward due to the
477 + anisotropy of the net molecular dipole interactions.\cite{Rahman71} To
478 + maintain good energy conservation, both the potential and derivative
479 + need to be smoothly switched to zero at $R_\textrm{c}$.\cite{Adams79}
480 + This is accomplished using a standard switching function.  If a smooth
481 + second derivative is desired, a fifth (or higher) order polynomial can
482 + be used.\cite{Andrea83}
483 +
484 + Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
485 + and to incorporate the effects of the surroundings, a method like
486 + Reaction Field ({\sc rf}) can be used.  The original theory for {\sc
487 + rf} was originally developed by Onsager,\cite{Onsager36} and it was
488 + applied in simulations for the study of water by Barker and
489 + Watts.\cite{Barker73} In modern simulation codes, {\sc rf} is simply
490 + an extension of the group-based cutoff method where the net dipole
491 + within the cutoff sphere polarizes an external dielectric, which
492 + reacts back on the central dipole.  The same switching function
493 + considerations for group-based cutoffs need to made for {\sc rf}, with
494 + the additional pre-specification of a dielectric constant.
495 +
496 + \section{Methods}
497 +
498 + In classical molecular mechanics simulations, there are two primary
499 + techniques utilized to obtain information about the system of
500 + interest: Monte Carlo (MC) and Molecular Dynamics (MD).  Both of these
501 + techniques utilize pairwise summations of interactions between
502 + particle sites, but they use these summations in different ways.
503 +
504 + In MC, the potential energy difference between configurations dictates
505 + the progression of MC sampling.  Going back to the origins of this
506 + method, the acceptance criterion for the canonical ensemble laid out
507 + by Metropolis \textit{et al.} states that a subsequent configuration
508 + is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta E/kT)$, where
509 + $\xi$ is a random number between 0 and 1.\cite{Metropolis53}
510 + Maintaining the correct $\Delta E$ when using an alternate method for
511 + handling the long-range electrostatics will ensure proper sampling
512 + from the ensemble.
513 +
514 + In MD, the derivative of the potential governs how the system will
515 + progress in time.  Consequently, the force and torque vectors on each
516 + body in the system dictate how the system evolves.  If the magnitude
517 + and direction of these vectors are similar when using alternate
518 + electrostatic summation techniques, the dynamics in the short term
519 + will be indistinguishable.  Because error in MD calculations is
520 + cumulative, one should expect greater deviation at longer times,
521 + although methods which have large differences in the force and torque
522 + vectors will diverge from each other more rapidly.
523 +
524 + \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
525 +
526 + The pairwise summation techniques (outlined in section
527 + \ref{sec:ESMethods}) were evaluated for use in MC simulations by
528 + studying the energy differences between conformations.  We took the
529 + {\sc spme}-computed energy difference between two conformations to be the
530 + correct behavior. An ideal performance by an alternative method would
531 + reproduce these energy differences exactly (even if the absolute
532 + energies calculated by the methods are different).  Since none of the
533 + methods provide exact energy differences, we used linear least squares
534 + regressions of energy gap data to evaluate how closely the methods
535 + mimicked the Ewald energy gaps.  Unitary results for both the
536 + correlation (slope) and correlation coefficient for these regressions
537 + indicate perfect agreement between the alternative method and {\sc spme}.
538 + Sample correlation plots for two alternate methods are shown in
539 + Fig. \ref{fig:linearFit}.
540 +
541   \begin{figure}
542   \centering
543 < \includegraphics[width=3.25in]{./linearFit.pdf}
544 < \caption{Example least squares regression of the $\Delta$E between configurations for the SF method against SPME in the pure water system.  }
545 < \label{linearFit}
543 > \includegraphics[width = \linewidth]{./dualLinear.pdf}
544 > \caption{Example least squares regressions of the configuration energy
545 > differences for SPC/E water systems. The upper plot shows a data set
546 > with a poor correlation coefficient ($R^2$), while the lower plot
547 > shows a data set with a good correlation coefficient.}
548 > \label{fig:linearFit}
549   \end{figure}
550  
551 < With 500 independent configurations, 124,750 $\Delta$E data points are used in a regression of a single system.  A table with the results for analysis of To gauge the applicability of each method in the general case, all the different system types were included in a separate Figure \ref{delEplot} shows the results for analysis of all the simulation types
551 > Each of the seven system types (detailed in section \ref{sec:RepSims})
552 > were represented using 500 independent configurations.  Thus, each of
553 > the alternative (non-Ewald) electrostatic summation methods was
554 > evaluated using an accumulated 873,250 configurational energy
555 > differences.
556 >
557 > Results and discussion for the individual analysis of each of the
558 > system types appear in the supporting information,\cite{EPAPSdeposit}
559 > while the cumulative results over all the investigated systems appears
560 > below in section \ref{sec:EnergyResults}.
561 >
562 > \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
563 > We evaluated the pairwise methods (outlined in section
564 > \ref{sec:ESMethods}) for use in MD simulations by
565 > comparing the force and torque vectors with those obtained using the
566 > reference Ewald summation ({\sc spme}).  Both the magnitude and the
567 > direction of these vectors on each of the bodies in the system were
568 > analyzed.  For the magnitude of these vectors, linear least squares
569 > regression analyses were performed as described previously for
570 > comparing $\Delta E$ values.  Instead of a single energy difference
571 > between two system configurations, we compared the magnitudes of the
572 > forces (and torques) on each molecule in each configuration.  For a
573 > system of 1000 water molecules and 40 ions, there are 1040 force
574 > vectors and 1000 torque vectors.  With 500 configurations, this
575 > results in 520,000 force and 500,000 torque vector comparisons.
576 > Additionally, data from seven different system types was aggregated
577 > before the comparison was made.
578 >
579 > The {\it directionality} of the force and torque vectors was
580 > investigated through measurement of the angle ($\theta$) formed
581 > between those computed from the particular method and those from {\sc spme},
582 > \begin{equation}
583 > \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
584 > \end{equation}
585 > where $\hat{F}_\textrm{M}$ is the unit vector pointing along the force
586 > vector computed using method M.  Each of these $\theta$ values was
587 > accumulated in a distribution function and weighted by the area on the
588 > unit sphere.  Since this distribution is a measure of angular error
589 > between two different electrostatic summation methods, there is no
590 > {\it a priori} reason for the profile to adhere to any specific
591 > shape. Thus, gaussian fits were used to measure the width of the
592 > resulting distributions. The variance ($\sigma^2$) was extracted from
593 > each of these fits and was used to compare distribution widths.
594 > Values of $\sigma^2$ near zero indicate vector directions
595 > indistinguishable from those calculated when using the reference
596 > method ({\sc spme}).
597 >
598 > \subsection{Short-time Dynamics}
599 >
600 > The effects of the alternative electrostatic summation methods on the
601 > short-time dynamics of charged systems were evaluated by considering a
602 > NaCl crystal at a temperature of 1000 K.  A subset of the best
603 > performing pairwise methods was used in this comparison.  The NaCl
604 > crystal was chosen to avoid possible complications from the treatment
605 > of orientational motion in molecular systems.  All systems were
606 > started with the same initial positions and velocities.  Simulations
607 > were performed under the microcanonical ensemble, and velocity
608 > autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
609 > of the trajectories,
610 > \begin{equation}
611 > C_v(t) = \frac{\langle v(0)\cdot v(t)\rangle}{\langle v^2\rangle}.
612 > \label{eq:vCorr}
613 > \end{equation}
614 > Velocity autocorrelation functions require detailed short time data,
615 > thus velocity information was saved every 2 fs over 10 ps
616 > trajectories. Because the NaCl crystal is composed of two different
617 > atom types, the average of the two resulting velocity autocorrelation
618 > functions was used for comparisons.
619 >
620 > \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
621 >
622 > The effects of the same subset of alternative electrostatic methods on
623 > the {\it long-time} dynamics of charged systems were evaluated using
624 > the same model system (NaCl crystals at 1000~K).  The power spectrum
625 > ($I(\omega)$) was obtained via Fourier transform of the velocity
626 > autocorrelation function, \begin{equation} I(\omega) =
627 > \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
628 > \label{eq:powerSpec}
629 > \end{equation}
630 > where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
631 > NaCl crystal is composed of two different atom types, the average of
632 > the two resulting power spectra was used for comparisons. Simulations
633 > were performed under the microcanonical ensemble, and velocity
634 > information was saved every 5~fs over 100~ps trajectories.
635 >
636 > \subsection{Representative Simulations}\label{sec:RepSims}
637 > A variety of representative molecular simulations were analyzed to
638 > determine the relative effectiveness of the pairwise summation
639 > techniques in reproducing the energetics and dynamics exhibited by
640 > {\sc spme}.  We wanted to span the space of typical molecular
641 > simulations (i.e. from liquids of neutral molecules to ionic
642 > crystals), so the systems studied were:
643 > \begin{enumerate}
644 > \item liquid water (SPC/E),\cite{Berendsen87}
645 > \item crystalline water (Ice I$_\textrm{c}$ crystals of SPC/E),
646 > \item NaCl crystals,
647 > \item NaCl melts,
648 > \item a low ionic strength solution of NaCl in water (0.11 M),
649 > \item a high ionic strength solution of NaCl in water (1.1 M), and
650 > \item a 6 \AA\  radius sphere of Argon in water.
651 > \end{enumerate}
652 > By utilizing the pairwise techniques (outlined in section
653 > \ref{sec:ESMethods}) in systems composed entirely of neutral groups,
654 > charged particles, and mixtures of the two, we hope to discern under
655 > which conditions it will be possible to use one of the alternative
656 > summation methodologies instead of the Ewald sum.
657 >
658 > For the solid and liquid water configurations, configurations were
659 > taken at regular intervals from high temperature trajectories of 1000
660 > SPC/E water molecules.  Each configuration was equilibrated
661 > independently at a lower temperature (300~K for the liquid, 200~K for
662 > the crystal).  The solid and liquid NaCl systems consisted of 500
663 > $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
664 > these systems were selected and equilibrated in the same manner as the
665 > water systems. In order to introduce measurable fluctuations in the
666 > configuration energy differences, the crystalline simulations were
667 > equilibrated at 1000~K, near the $T_\textrm{m}$ for NaCl. The liquid
668 > NaCl configurations needed to represent a fully disordered array of
669 > point charges, so the high temperature of 7000~K was selected for
670 > equilibration. The ionic solutions were made by solvating 4 (or 40)
671 > ions in a periodic box containing 1000 SPC/E water molecules.  Ion and
672 > water positions were then randomly swapped, and the resulting
673 > configurations were again equilibrated individually.  Finally, for the
674 > Argon / Water ``charge void'' systems, the identities of all the SPC/E
675 > waters within 6 \AA\ of the center of the equilibrated water
676 > configurations were converted to argon.
677 >
678 > These procedures guaranteed us a set of representative configurations
679 > from chemically-relevant systems sampled from appropriate
680 > ensembles. Force field parameters for the ions and Argon were taken
681 > from the force field utilized by {\sc oopse}.\cite{Meineke05}
682 >
683 > \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
684 > We compared the following alternative summation methods with results
685 > from the reference method ({\sc spme}):
686 > \begin{itemize}
687 > \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
688 > and 0.3 \AA$^{-1}$,
689 > \item {\sc sf} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
690 > and 0.3 \AA$^{-1}$,
691 > \item reaction field with an infinite dielectric constant, and
692 > \item an unmodified cutoff.
693 > \end{itemize}
694 > Group-based cutoffs with a fifth-order polynomial switching function
695 > were utilized for the reaction field simulations.  Additionally, we
696 > investigated the use of these cutoffs with the {\sc sp}, {\sc sf}, and pure
697 > cutoff.  The {\sc spme} electrostatics were performed using the {\sc tinker}
698 > implementation of {\sc spme},\cite{Ponder87} while all other calculations
699 > were performed using the {\sc oopse} molecular mechanics
700 > package.\cite{Meineke05} All other portions of the energy calculation
701 > (i.e. Lennard-Jones interactions) were handled in exactly the same
702 > manner across all systems and configurations.
703 >
704 > The alternative methods were also evaluated with three different
705 > cutoff radii (9, 12, and 15 \AA).  As noted previously, the
706 > convergence parameter ($\alpha$) plays a role in the balance of the
707 > real-space and reciprocal-space portions of the Ewald calculation.
708 > Typical molecular mechanics packages set this to a value dependent on
709 > the cutoff radius and a tolerance (typically less than $1 \times
710 > 10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
711 > increasing accuracy at the expense of computational time spent on the
712 > reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
713 > The default {\sc tinker} tolerance of $1 \times 10^{-8}$ kcal/mol was used
714 > in all {\sc spme} calculations, resulting in Ewald coefficients of 0.4200,
715 > 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
716 > respectively.
717 >
718 > \section{Results and Discussion}
719 >
720 > \subsection{Configuration Energy Differences}\label{sec:EnergyResults}
721 > In order to evaluate the performance of the pairwise electrostatic
722 > summation methods for Monte Carlo simulations, the energy differences
723 > between configurations were compared to the values obtained when using
724 > {\sc spme}.  The results for the subsequent regression analysis are shown in
725 > figure \ref{fig:delE}.
726 >
727 > \begin{figure}
728 > \centering
729 > \includegraphics[width=5.5in]{./delEplot.pdf}
730 > \caption{Statistical analysis of the quality of configurational energy
731 > differences for a given electrostatic method compared with the
732 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
733 > indicate $\Delta E$ values indistinguishable from those obtained using
734 > {\sc spme}.  Different values of the cutoff radius are indicated with
735 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
736 > inverted triangles).}
737 > \label{fig:delE}
738 > \end{figure}
739 >
740 > The most striking feature of this plot is how well the Shifted Force
741 > ({\sc sf}) and Shifted Potential ({\sc sp}) methods capture the energy
742 > differences.  For the undamped {\sc sf} method, and the
743 > moderately-damped {\sc sp} methods, the results are nearly
744 > indistinguishable from the Ewald results.  The other common methods do
745 > significantly less well.  
746 >
747 > The unmodified cutoff method is essentially unusable.  This is not
748 > surprising since hard cutoffs give large energy fluctuations as atoms
749 > or molecules move in and out of the cutoff
750 > radius.\cite{Rahman71,Adams79} These fluctuations can be alleviated to
751 > some degree by using group based cutoffs with a switching
752 > function.\cite{Adams79,Steinbach94,Leach01} However, we do not see
753 > significant improvement using the group-switched cutoff because the
754 > salt and salt solution systems contain non-neutral groups.  Interested
755 > readers can consult the accompanying supporting information for a
756 > comparison where all groups are neutral.\cite{EPAPSdeposit}
757 >
758 > For the {\sc sp} method, inclusion of electrostatic damping improves
759 > the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
760 > shows an excellent correlation and quality of fit with the {\sc spme}
761 > results, particularly with a cutoff radius greater than 12
762 > \AA .  Use of a larger damping parameter is more helpful for the
763 > shortest cutoff shown, but it has a detrimental effect on simulations
764 > with larger cutoffs.  
765 >
766 > In the {\sc sf} sets, increasing damping results in progressively {\it
767 > worse} correlation with Ewald.  Overall, the undamped case is the best
768 > performing set, as the correlation and quality of fits are
769 > consistently superior regardless of the cutoff distance.  The undamped
770 > case is also less computationally demanding (because no evaluation of
771 > the complementary error function is required).
772 >
773 > The reaction field results illustrates some of that method's
774 > limitations, primarily that it was developed for use in homogenous
775 > systems; although it does provide results that are an improvement over
776 > those from an unmodified cutoff.
777 >
778 > \subsection{Magnitudes of the Force and Torque Vectors}
779 >
780 > Evaluation of pairwise methods for use in Molecular Dynamics
781 > simulations requires consideration of effects on the forces and
782 > torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
783 > regression results for the force and torque vector magnitudes,
784 > respectively.  The data in these figures was generated from an
785 > accumulation of the statistics from all of the system types.
786 >
787 > \begin{figure}
788 > \centering
789 > \includegraphics[width=5.5in]{./frcMagplot.pdf}
790 > \caption{Statistical analysis of the quality of the force vector
791 > magnitudes for a given electrostatic method compared with the
792 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
793 > indicate force magnitude values indistinguishable from those obtained
794 > using {\sc spme}.  Different values of the cutoff radius are indicated with
795 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
796 > inverted triangles).}
797 > \label{fig:frcMag}
798 > \end{figure}
799 >
800 > Again, it is striking how well the Shifted Potential and Shifted Force
801 > methods are doing at reproducing the {\sc spme} forces.  The undamped and
802 > weakly-damped {\sc sf} method gives the best agreement with Ewald.
803 > This is perhaps expected because this method explicitly incorporates a
804 > smooth transition in the forces at the cutoff radius as well as the
805 > neutralizing image charges.
806 >
807 > Figure \ref{fig:frcMag}, for the most part, parallels the results seen
808 > in the previous $\Delta E$ section.  The unmodified cutoff results are
809 > poor, but using group based cutoffs and a switching function provides
810 > an improvement much more significant than what was seen with $\Delta
811 > E$.
812 >
813 > With moderate damping and a large enough cutoff radius, the {\sc sp}
814 > method is generating usable forces.  Further increases in damping,
815 > while beneficial for simulations with a cutoff radius of 9 \AA\ , is
816 > detrimental to simulations with larger cutoff radii.
817 >
818 > The reaction field results are surprisingly good, considering the poor
819 > quality of the fits for the $\Delta E$ results.  There is still a
820 > considerable degree of scatter in the data, but the forces correlate
821 > well with the Ewald forces in general.  We note that the reaction
822 > field calculations do not include the pure NaCl systems, so these
823 > results are partly biased towards conditions in which the method
824 > performs more favorably.
825 >
826 > \begin{figure}
827 > \centering
828 > \includegraphics[width=5.5in]{./trqMagplot.pdf}
829 > \caption{Statistical analysis of the quality of the torque vector
830 > magnitudes for a given electrostatic method compared with the
831 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
832 > indicate torque magnitude values indistinguishable from those obtained
833 > using {\sc spme}.  Different values of the cutoff radius are indicated with
834 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
835 > inverted triangles).}
836 > \label{fig:trqMag}
837 > \end{figure}
838 >
839 > Molecular torques were only available from the systems which contained
840 > rigid molecules (i.e. the systems containing water).  The data in
841 > fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
842 >
843 > Torques appear to be much more sensitive to charges at a longer
844 > distance.   The striking feature in comparing the new electrostatic
845 > methods with {\sc spme} is how much the agreement improves with increasing
846 > cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
847 > appears to be reproducing the {\sc spme} torques most accurately.  
848 >
849 > Water molecules are dipolar, and the reaction field method reproduces
850 > the effect of the surrounding polarized medium on each of the
851 > molecular bodies. Therefore it is not surprising that reaction field
852 > performs best of all of the methods on molecular torques.
853 >
854 > \subsection{Directionality of the Force and Torque Vectors}
855 >
856 > It is clearly important that a new electrostatic method can reproduce
857 > the magnitudes of the force and torque vectors obtained via the Ewald
858 > sum. However, the {\it directionality} of these vectors will also be
859 > vital in calculating dynamical quantities accurately.  Force and
860 > torque directionalities were investigated by measuring the angles
861 > formed between these vectors and the same vectors calculated using
862 > {\sc spme}.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
863 > variance ($\sigma^2$) of the Gaussian fits of the angle error
864 > distributions of the combined set over all system types.
865 >
866 > \begin{figure}
867 > \centering
868 > \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
869 > \caption{Statistical analysis of the width of the angular distribution
870 > that the force and torque vectors from a given electrostatic method
871 > make with their counterparts obtained using the reference Ewald sum.
872 > Results with a variance ($\sigma^2$) equal to zero (dashed line)
873 > indicate force and torque directions indistinguishable from those
874 > obtained using {\sc spme}.  Different values of the cutoff radius are
875 > indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
876 > and 15\AA\ = inverted triangles).}
877 > \label{fig:frcTrqAng}
878 > \end{figure}
879  
880 + Both the force and torque $\sigma^2$ results from the analysis of the
881 + total accumulated system data are tabulated in figure
882 + \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
883 + sp}) method would be essentially unusable for molecular dynamics
884 + unless the damping function is added.  The Shifted Force ({\sc sf})
885 + method, however, is generating force and torque vectors which are
886 + within a few degrees of the Ewald results even with weak (or no)
887 + damping.
888 +
889 + All of the sets (aside from the over-damped case) show the improvement
890 + afforded by choosing a larger cutoff radius.  Increasing the cutoff
891 + from 9 to 12 \AA\ typically results in a halving of the width of the
892 + distribution, with a similar improvement when going from 12 to 15
893 + \AA .
894 +
895 + The undamped {\sc sf}, group-based cutoff, and reaction field methods
896 + all do equivalently well at capturing the direction of both the force
897 + and torque vectors.  Using the electrostatic damping improves the
898 + angular behavior significantly for the {\sc sp} and moderately for the
899 + {\sc sf} methods.  Overdamping is detrimental to both methods.  Again
900 + it is important to recognize that the force vectors cover all
901 + particles in all seven systems, while torque vectors are only
902 + available for neutral molecular groups.  Damping is more beneficial to
903 + charged bodies, and this observation is investigated further in the
904 + accompanying supporting information.\cite{EPAPSdeposit}
905 +
906 + Although not discussed previously, group based cutoffs can be applied
907 + to both the {\sc sp} and {\sc sf} methods.  The group-based cutoffs
908 + will reintroduce small discontinuities at the cutoff radius, but the
909 + effects of these can be minimized by utilizing a switching function.
910 + Though there are no significant benefits or drawbacks observed in
911 + $\Delta E$ and the force and torque magnitudes when doing this, there
912 + is a measurable improvement in the directionality of the forces and
913 + torques. Table \ref{tab:groupAngle} shows the angular variances
914 + obtained using group based cutoffs along with the results seen in
915 + figure \ref{fig:frcTrqAng}.  The {\sc sp} (with an $\alpha$ of 0.2
916 + \AA$^{-1}$ or smaller) shows much narrower angular distributions when
917 + using group-based cutoffs. The {\sc sf} method likewise shows
918 + improvement in the undamped and lightly damped cases.
919 +
920 + \begin{table}[htbp]
921 +   \centering
922 +   \caption{Statistical analysis of the angular
923 +   distributions that the force (upper) and torque (lower) vectors
924 +   from a given electrostatic method make with their counterparts
925 +   obtained using the reference Ewald sum.  Calculations were
926 +   performed both with (Y) and without (N) group based cutoffs and a
927 +   switching function.  The $\alpha$ values have units of \AA$^{-1}$
928 +   and the variance values have units of degrees$^2$.}
929 +
930 +   \begin{tabular}{@{} ccrrrrrrrr @{}}
931 +      \\
932 +      \toprule
933 +      & & \multicolumn{4}{c}{Shifted Potential} & \multicolumn{4}{c}{Shifted Force} \\
934 +      \cmidrule(lr){3-6}
935 +      \cmidrule(l){7-10}
936 +            $R_\textrm{c}$ & Groups & $\alpha = 0$ & $\alpha = 0.1$ & $\alpha = 0.2$ & $\alpha = 0.3$ & $\alpha = 0$ & $\alpha = 0.1$ & $\alpha = 0.2$ & $\alpha = 0.3$\\
937 +      \midrule
938 +    
939 + 9 \AA   & N & 29.545 & 12.003 & 5.489 & 0.610 & 2.323 & 2.321 & 0.429 & 0.603 \\
940 +        & \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} \\
941 + 12 \AA  & N & 19.381 & 3.097 & 0.190 & 0.608 & 0.920 & 0.736 & 0.133 & 0.612 \\
942 +        & \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} \\
943 + 15 \AA  & N & 12.700 & 1.196 & 0.123 & 0.601 & 0.339 & 0.160 & 0.123 & 0.601 \\
944 +        & \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} \\      
945 +
946 +      \midrule
947 +      
948 + 9 \AA   & N & 262.716 & 116.585 & 5.234 & 5.103 & 2.392 & 2.350 & 1.770 & 5.122 \\
949 +        & \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} \\
950 + 12 \AA  & N & 129.576 & 25.560 & 1.369 & 5.080 & 0.913 & 0.790 & 1.362 & 5.124 \\
951 +        & \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} \\
952 + 15 \AA  & N & 87.275 & 4.473 & 1.271 & 5.000 & 0.372 & 0.312 & 1.271 & 5.000 \\
953 +        & \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} \\
954 +
955 +      \bottomrule
956 +   \end{tabular}
957 +   \label{tab:groupAngle}
958 + \end{table}
959 +
960 + One additional trend in table \ref{tab:groupAngle} is that the
961 + $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as $\alpha$
962 + increases, something that is more obvious with group-based cutoffs.
963 + The complimentary error function inserted into the potential weakens
964 + the electrostatic interaction as the value of $\alpha$ is increased.
965 + However, at larger values of $\alpha$, it is possible to overdamp the
966 + electrostatic interaction and to remove it completely.  Kast
967 + \textit{et al.}  developed a method for choosing appropriate $\alpha$
968 + values for these types of electrostatic summation methods by fitting
969 + to $g(r)$ data, and their methods indicate optimal values of 0.34,
970 + 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
971 + respectively.\cite{Kast03} These appear to be reasonable choices to
972 + obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
973 + these findings, choices this high would introduce error in the
974 + molecular torques, particularly for the shorter cutoffs.  Based on our
975 + observations, empirical damping up to 0.2 \AA$^{-1}$ is beneficial,
976 + but damping may be unnecessary when using the {\sc sf} method.
977 +
978 + \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
979 +
980 + Zahn {\it et al.} investigated the structure and dynamics of water
981 + using eqs. (\ref{eq:ZahnPot}) and
982 + (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
983 + that a method similar (but not identical with) the damped {\sc sf}
984 + method resulted in properties very similar to those obtained when
985 + using the Ewald summation.  The properties they studied (pair
986 + distribution functions, diffusion constants, and velocity and
987 + orientational correlation functions) may not be particularly sensitive
988 + to the long-range and collective behavior that governs the
989 + low-frequency behavior in crystalline systems.  Additionally, the
990 + ionic crystals are the worst case scenario for the pairwise methods
991 + because they lack the reciprocal space contribution contained in the
992 + Ewald summation.  
993 +
994 + We are using two separate measures to probe the effects of these
995 + alternative electrostatic methods on the dynamics in crystalline
996 + materials.  For short- and intermediate-time dynamics, we are
997 + computing the velocity autocorrelation function, and for long-time
998 + and large length-scale collective motions, we are looking at the
999 + low-frequency portion of the power spectrum.
1000 +
1001 + \begin{figure}
1002 + \centering
1003 + \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
1004 + \caption{Velocity autocorrelation functions of NaCl crystals at
1005 + 1000 K using {\sc spme}, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
1006 + sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
1007 + the first minimum.  The times to first collision are nearly identical,
1008 + but differences can be seen in the peaks and troughs, where the
1009 + undamped and weakly damped methods are stiffer than the moderately
1010 + damped and {\sc spme} methods.}
1011 + \label{fig:vCorrPlot}
1012 + \end{figure}
1013 +
1014 + The short-time decay of the velocity autocorrelation function through
1015 + the first collision are nearly identical in figure
1016 + \ref{fig:vCorrPlot}, but the peaks and troughs of the functions show
1017 + how the methods differ.  The undamped {\sc sf} method has deeper
1018 + troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher peaks than
1019 + any of the other methods.  As the damping parameter ($\alpha$) is
1020 + increased, these peaks are smoothed out, and the {\sc sf} method
1021 + approaches the {\sc spme} results.  With $\alpha$ values of 0.2 \AA$^{-1}$,
1022 + the {\sc sf} and {\sc sp} functions are nearly identical and track the
1023 + {\sc spme} features quite well.  This is not surprising because the {\sc sf}
1024 + and {\sc sp} potentials become nearly identical with increased
1025 + damping.  However, this appears to indicate that once damping is
1026 + utilized, the details of the form of the potential (and forces)
1027 + constructed out of the damped electrostatic interaction are less
1028 + important.
1029 +
1030 + \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1031 +
1032 + To evaluate how the differences between the methods affect the
1033 + collective long-time motion, we computed power spectra from long-time
1034 + traces of the velocity autocorrelation function. The power spectra for
1035 + the best-performing alternative methods are shown in
1036 + fig. \ref{fig:methodPS}.  Apodization of the correlation functions via
1037 + a cubic switching function between 40 and 50 ps was used to reduce the
1038 + ringing resulting from data truncation.  This procedure had no
1039 + noticeable effect on peak location or magnitude.
1040 +
1041 + \begin{figure}
1042 + \centering
1043 + \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1044 + \caption{Power spectra obtained from the velocity auto-correlation
1045 + functions of NaCl crystals at 1000 K while using {\sc spme}, {\sc sf}
1046 + ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  The inset
1047 + shows the frequency region below 100 cm$^{-1}$ to highlight where the
1048 + spectra differ.}
1049 + \label{fig:methodPS}
1050 + \end{figure}
1051 +
1052 + While the high frequency regions of the power spectra for the
1053 + alternative methods are quantitatively identical with Ewald spectrum,
1054 + the low frequency region shows how the summation methods differ.
1055 + Considering the low-frequency inset (expanded in the upper frame of
1056 + figure \ref{fig:dampInc}), at frequencies below 100 cm$^{-1}$, the
1057 + correlated motions are blue-shifted when using undamped or weakly
1058 + damped {\sc sf}.  When using moderate damping ($\alpha = 0.2$
1059 + \AA$^{-1}$) both the {\sc sf} and {\sc sp} methods give nearly identical
1060 + correlated motion to the Ewald method (which has a convergence
1061 + parameter of 0.3119 \AA$^{-1}$).  This weakening of the electrostatic
1062 + interaction with increased damping explains why the long-ranged
1063 + correlated motions are at lower frequencies for the moderately damped
1064 + methods than for undamped or weakly damped methods.
1065 +
1066 + To isolate the role of the damping constant, we have computed the
1067 + spectra for a single method ({\sc sf}) with a range of damping
1068 + constants and compared this with the {\sc spme} spectrum.
1069 + Fig. \ref{fig:dampInc} shows more clearly that increasing the
1070 + electrostatic damping red-shifts the lowest frequency phonon modes.
1071 + However, even without any electrostatic damping, the {\sc sf} method
1072 + has at most a 10 cm$^{-1}$ error in the lowest frequency phonon mode.
1073 + Without the {\sc sf} modifications, an undamped (pure cutoff) method
1074 + would predict the lowest frequency peak near 325 cm$^{-1}$.  {\it
1075 + Most} of the collective behavior in the crystal is accurately captured
1076 + using the {\sc sf} method.  Quantitative agreement with Ewald can be
1077 + obtained using moderate damping in addition to the shifting at the
1078 + cutoff distance.
1079 +
1080 + \begin{figure}
1081 + \centering
1082 + \includegraphics[width = \linewidth]{./increasedDamping.pdf}
1083 + \caption{Effect of damping on the two lowest-frequency phonon modes in
1084 + the NaCl crystal at 1000~K.  The undamped shifted force ({\sc sf})
1085 + method is off by less than 10 cm$^{-1}$, and increasing the
1086 + electrostatic damping to 0.25 \AA$^{-1}$ gives quantitative agreement
1087 + with the power spectrum obtained using the Ewald sum.  Overdamping can
1088 + result in underestimates of frequencies of the long-wavelength
1089 + motions.}
1090 + \label{fig:dampInc}
1091 + \end{figure}
1092 +
1093   \section{Conclusions}
1094  
1095 + This investigation of pairwise electrostatic summation techniques
1096 + shows that there are viable and computationally efficient alternatives
1097 + to the Ewald summation.  These methods are derived from the damped and
1098 + cutoff-neutralized Coulombic sum originally proposed by Wolf
1099 + \textit{et al.}\cite{Wolf99} In particular, the {\sc sf}
1100 + method, reformulated above as eqs. (\ref{eq:DSFPot}) and
1101 + (\ref{eq:DSFForces}), shows a remarkable ability to reproduce the
1102 + energetic and dynamic characteristics exhibited by simulations
1103 + employing lattice summation techniques.  The cumulative energy
1104 + difference results showed the undamped {\sc sf} and moderately damped
1105 + {\sc sp} methods produced results nearly identical to {\sc spme}.  Similarly
1106 + for the dynamic features, the undamped or moderately damped {\sc sf}
1107 + and moderately damped {\sc sp} methods produce force and torque vector
1108 + magnitude and directions very similar to the expected values.  These
1109 + results translate into long-time dynamic behavior equivalent to that
1110 + produced in simulations using {\sc spme}.
1111 +
1112 + As in all purely-pairwise cutoff methods, these methods are expected
1113 + to scale approximately {\it linearly} with system size, and they are
1114 + easily parallelizable.  This should result in substantial reductions
1115 + in the computational cost of performing large simulations.
1116 +
1117 + Aside from the computational cost benefit, these techniques have
1118 + applicability in situations where the use of the Ewald sum can prove
1119 + problematic.  Of greatest interest is their potential use in
1120 + interfacial systems, where the unmodified lattice sum techniques
1121 + artificially accentuate the periodicity of the system in an
1122 + undesirable manner.  There have been alterations to the standard Ewald
1123 + techniques, via corrections and reformulations, to compensate for
1124 + these systems; but the pairwise techniques discussed here require no
1125 + modifications, making them natural tools to tackle these problems.
1126 + Additionally, this transferability gives them benefits over other
1127 + pairwise methods, like reaction field, because estimations of physical
1128 + properties (e.g. the dielectric constant) are unnecessary.
1129 +
1130 + If a researcher is using Monte Carlo simulations of large chemical
1131 + systems containing point charges, most structural features will be
1132 + accurately captured using the undamped {\sc sf} method or the {\sc sp}
1133 + method with an electrostatic damping of 0.2 \AA$^{-1}$.  These methods
1134 + would also be appropriate for molecular dynamics simulations where the
1135 + data of interest is either structural or short-time dynamical
1136 + quantities.  For long-time dynamics and collective motions, the safest
1137 + pairwise method we have evaluated is the {\sc sf} method with an
1138 + electrostatic damping between 0.2 and 0.25
1139 + \AA$^{-1}$.
1140 +
1141 + We are not suggesting that there is any flaw with the Ewald sum; in
1142 + fact, it is the standard by which these simple pairwise sums have been
1143 + judged.  However, these results do suggest that in the typical
1144 + simulations performed today, the Ewald summation may no longer be
1145 + required to obtain the level of accuracy most researchers have come to
1146 + expect.
1147 +
1148   \section{Acknowledgments}
1149 + Support for this project was provided by the National Science
1150 + Foundation under grant CHE-0134881.  The authors would like to thank
1151 + Steve Corcelli and Ed Maginn for helpful discussions and comments.
1152  
1153 < \newpage
1153 > \newpage
1154  
1155 < \bibliographystyle{achemso}
1155 > \bibliographystyle{jcp2}
1156   \bibliography{electrostaticMethods}
1157  
1158  

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