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1   %\documentclass[prb,aps,twocolumn,tabularx]{revtex4}
2 < \documentclass[12pt]{article}
2 > %\documentclass[aps,prb,preprint]{revtex4}
3 > \documentclass[11pt]{article}
4   \usepackage{endfloat}
5 < \usepackage{amsmath}
5 > \usepackage{amsmath,bm}
6   \usepackage{amssymb}
6 %\usepackage{ifsym}
7   \usepackage{epsf}
8   \usepackage{times}
9 < \usepackage{mathptm}
9 > \usepackage{mathptmx}
10   \usepackage{setspace}
11   \usepackage{tabularx}
12   \usepackage{graphicx}
13   \usepackage{booktabs}
14 < %\usepackage{berkeley}
14 > \usepackage{bibentry}
15 > \usepackage{mathrsfs}
16   \usepackage[ref]{overcite}
17   \pagestyle{plain}
18   \pagenumbering{arabic}
# Line 24 | Line 25
25  
26   \begin{document}
27  
28 < \title{Is the Ewald Summation necessary in typical molecular simulations: Alternatives to the accepted standard of cutoff policies}
28 > \title{Is the Ewald summation still necessary? \\
29 > Pairwise alternatives to the accepted standard for \\
30 > long-range electrostatics in molecular simulations}
31  
32 < \author{Christopher J. Fennell and J. Daniel Gezelter \\
32 > \author{Christopher J. Fennell and J. Daniel Gezelter\footnote{Corresponding author. \ Electronic mail:
33 > gezelter@nd.edu} \\
34   Department of Chemistry and Biochemistry\\
35   University of Notre Dame\\
36   Notre Dame, Indiana 46556}
# Line 34 | Line 38 | Notre Dame, Indiana 46556}
38   \date{\today}
39  
40   \maketitle
41 < %\doublespacing
41 > \doublespacing
42  
43   \begin{abstract}
44 + We investigate pairwise electrostatic interaction methods and show
45 + that there are viable and computationally efficient $(\mathscr{O}(N))$
46 + alternatives to the Ewald summation for typical modern molecular
47 + simulations.  These methods are extended from the damped and
48 + cutoff-neutralized Coulombic sum originally proposed by
49 + [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
50 + a remarkable ability to reproduce the energetic and dynamic
51 + characteristics exhibited by simulations employing lattice summation
52 + techniques.  Comparisons were performed with this and other pairwise
53 + methods against the smooth particle mesh Ewald ({\sc spme}) summation
54 + to see how well they reproduce the energetics and dynamics of a
55 + variety of simulation types.
56   \end{abstract}
57  
58 + \newpage
59 +
60   %\narrowtext
61  
62 < %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
62 > %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
63   %                              BODY OF TEXT
64 < %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
64 > %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
65  
66   \section{Introduction}
67  
68 < 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 and Shifted-Force 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 and Molecular Dynamics calculations was assessed through statistical analysis over the combined results from all of the following studied systems:
69 < \begin{enumerate}
70 < \item Liquid Water
71 < \item Crystalline Water (Ice I$_\textrm{c}$)
72 < \item NaCl Crystal
73 < \item NaCl Melt
74 < \item Low Ionic Strength Solution of NaCl in Water
75 < \item High Ionic Strength Solution of NaCl in Water
76 < \item 6 \AA\  Radius Sphere of Argon in Water
77 < \end{enumerate}
78 < Additional discussion on the results from the individual systems was also performed to identify limitations of the considered methods in specific systems.
68 > In molecular simulations, proper accumulation of the electrostatic
69 > interactions is essential and is one of the most
70 > computationally-demanding tasks.  The common molecular mechanics force
71 > fields represent atomic sites with full or partial charges protected
72 > by Lennard-Jones (short range) interactions.  This means that nearly
73 > every pair interaction involves a calculation of charge-charge forces.
74 > Coupled with relatively long-ranged $r^{-1}$ decay, the monopole
75 > interactions quickly become the most expensive part of molecular
76 > simulations.  Historically, the electrostatic pair interaction would
77 > not have decayed appreciably within the typical box lengths that could
78 > be feasibly simulated.  In the larger systems that are more typical of
79 > modern simulations, large cutoffs should be used to incorporate
80 > electrostatics correctly.
81  
82 < \section{Methods}
82 > There have been many efforts to address the proper and practical
83 > handling of electrostatic interactions, and these have resulted in a
84 > variety of techniques.\cite{Roux99,Sagui99,Tobias01} These are
85 > typically classified as implicit methods (i.e., continuum dielectrics,
86 > static dipolar fields),\cite{Born20,Grossfield00} explicit methods
87 > (i.e., Ewald summations, interaction shifting or
88 > truncation),\cite{Ewald21,Steinbach94} or a mixture of the two (i.e.,
89 > reaction field type methods, fast multipole
90 > methods).\cite{Onsager36,Rokhlin85} The explicit or mixed methods are
91 > often preferred because they physically incorporate solvent molecules
92 > in the system of interest, but these methods are sometimes difficult
93 > to utilize because of their high computational cost.\cite{Roux99} In
94 > addition to the computational cost, there have been some questions
95 > regarding possible artifacts caused by the inherent periodicity of the
96 > explicit Ewald summation.\cite{Tobias01}
97  
98 < 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 Shifted Potential and Shifted Force 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.  
98 > In this paper, we focus on a new set of pairwise methods devised by
99 > Wolf {\it et al.},\cite{Wolf99} which we further extend.  These
100 > methods along with a few other mixed methods (i.e. reaction field) are
101 > compared with the smooth particle mesh Ewald
102 > sum,\cite{Onsager36,Essmann99} which is our reference method for
103 > handling long-range electrostatic interactions. The new methods for
104 > handling electrostatics have the potential to scale linearly with
105 > increasing system size since they involve only a simple modification
106 > to the direct pairwise sum.  They also lack the added periodicity of
107 > the Ewald sum, so they can be used for systems which are non-periodic
108 > or which have one- or two-dimensional periodicity.  Below, these
109 > methods are evaluated using a variety of model systems to
110 > establish their usability in molecular simulations.
111  
112 < 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 each equilibrated individually.  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 low and high ionic strength NaCl solutions, 4 and 40 ions were first solvated in a 1000 water molecule boxes respectively.  Ion and water positions were then randomly swapped, and the resulting configurations were again equilibrated individually.  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}).
112 > \subsection{The Ewald Sum}
113 > The complete accumulation of the electrostatic interactions in a system with
114 > periodic boundary conditions (PBC) requires the consideration of the
115 > effect of all charges within a (cubic) simulation box as well as those
116 > in the periodic replicas,
117 > \begin{equation}
118 > 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],
119 > \label{eq:PBCSum}
120 > \end{equation}
121 > where the sum over $\mathbf{n}$ is a sum over all periodic box
122 > replicas with integer coordinates $\mathbf{n} = (l,m,n)$, and the
123 > prime indicates $i = j$ are neglected for $\mathbf{n} =
124 > 0$.\cite{deLeeuw80} Within the sum, $N$ is the number of electrostatic
125 > particles, $\mathbf{r}_{ij}$ is $\mathbf{r}_j - \mathbf{r}_i$, $L$ is
126 > the cell length, $\bm{\Omega}_{i,j}$ are the Euler angles for $i$ and
127 > $j$, and $\phi$ is the solution to Poisson's equation
128 > ($\phi(\mathbf{r}_{ij}) = q_i q_j |\mathbf{r}_{ij}|^{-1}$ for
129 > charge-charge interactions). In the case of monopole electrostatics,
130 > eq. (\ref{eq:PBCSum}) is conditionally convergent and is divergent for
131 > non-neutral systems.
132  
133 + The electrostatic summation problem was originally studied by Ewald
134 + for the case of an infinite crystal.\cite{Ewald21}. The approach he
135 + took was to convert this conditionally convergent sum into two
136 + absolutely convergent summations: a short-ranged real-space summation
137 + and a long-ranged reciprocal-space summation,
138 + \begin{equation}
139 + \begin{split}
140 + 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,
141 + \end{split}
142 + \label{eq:EwaldSum}
143 + \end{equation}
144 + where $\alpha$ is the damping or convergence parameter with units of
145 + \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and are equal to
146 + $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
147 + constant of the surrounding medium. The final two terms of
148 + eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
149 + for interacting with a surrounding dielectric.\cite{Allen87} This
150 + dipolar term was neglected in early applications in molecular
151 + simulations,\cite{Brush66,Woodcock71} until it was introduced by de
152 + Leeuw {\it et al.} to address situations where the unit cell has a
153 + dipole moment which is magnified through replication of the periodic
154 + images.\cite{deLeeuw80,Smith81} If this term is taken to be zero, the
155 + system is said to be using conducting (or ``tin-foil'') boundary
156 + conditions, $\epsilon_{\rm S} = \infty$. Figure
157 + \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
158 + time.  Initially, due to the small system sizes that could be
159 + simulated feasibly, the entire simulation box was replicated to
160 + convergence.  In more modern simulations, the systems have grown large
161 + enough that a real-space cutoff could potentially give convergent
162 + behavior.  Indeed, it has been observed that with the choice of a
163 + small $\alpha$, the reciprocal-space portion of the Ewald sum can be
164 + rapidly convergent and small relative to the real-space
165 + portion.\cite{Karasawa89,Kolafa92}
166 +
167   \begin{figure}
168   \centering
169 < \includegraphics[width=3.25in]{./slice.pdf}
170 < \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.}
171 < \label{argonSlice}
169 > \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
170 > \caption{The change in the need for the Ewald sum with
171 > increasing computational power.  A:~Initially, only small systems
172 > could be studied, and the Ewald sum replicated the simulation box to
173 > convergence.  B:~Now, radial cutoff methods should be able to reach
174 > convergence for the larger systems of charges that are common today.}
175 > \label{fig:ewaldTime}
176   \end{figure}
177  
178 < 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.
178 > The original Ewald summation is an $\mathscr{O}(N^2)$ algorithm.  The
179 > convergence parameter $(\alpha)$ plays an important role in balancing
180 > the computational cost between the direct and reciprocal-space
181 > portions of the summation.  The choice of this value allows one to
182 > select whether the real-space or reciprocal space portion of the
183 > summation is an $\mathscr{O}(N^2)$ calculation (with the other being
184 > $\mathscr{O}(N)$).\cite{Sagui99} With the appropriate choice of
185 > $\alpha$ and thoughtful algorithm development, this cost can be
186 > reduced to $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route
187 > taken to reduce the cost of the Ewald summation even further is to set
188 > $\alpha$ such that the real-space interactions decay rapidly, allowing
189 > for a short spherical cutoff. Then the reciprocal space summation is
190 > optimized.  These optimizations usually involve utilization of the
191 > fast Fourier transform (FFT),\cite{Hockney81} leading to the
192 > particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
193 > methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
194 > methods, the cost of the reciprocal-space portion of the Ewald
195 > summation is reduced from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N
196 > \log N)$.
197  
198 < \section{Results and Discussion}
198 > These developments and optimizations have made the use of the Ewald
199 > summation routine in simulations with periodic boundary
200 > conditions. However, in certain systems, such as vapor-liquid
201 > interfaces and membranes, the intrinsic three-dimensional periodicity
202 > can prove problematic.  The Ewald sum has been reformulated to handle
203 > 2D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the
204 > new methods are computationally expensive.\cite{Spohr97,Yeh99} More
205 > recently, there have been several successful efforts toward reducing
206 > the computational cost of 2D lattice summations, often enabling the
207 > use of the mentioned
208 > optimizations.\cite{Yeh99,Kawata01,Arnold02,deJoannis02,Brodka04}
209  
210 < \subsection{$\Delta E$ Comparison}
211 < In order to evaluate the performance of the adapted Wolf Shifted Potential and Shifted Force 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}).
210 > Several studies have recognized that the inherent periodicity in the
211 > Ewald sum can also have an effect on three-dimensional
212 > systems.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
213 > Solvated proteins are essentially kept at high concentration due to
214 > the periodicity of the electrostatic summation method.  In these
215 > systems, the more compact folded states of a protein can be
216 > artificially stabilized by the periodic replicas introduced by the
217 > Ewald summation.\cite{Weber00} Thus, care must be taken when
218 > considering the use of the Ewald summation where the assumed
219 > periodicity would introduce spurious effects in the system dynamics.
220  
221 < \begin{figure}
222 < \centering
223 < \includegraphics[width=3.25in]{./linearFit.pdf}
224 < \caption{Example least squares regression of the $\Delta E$ between configurations for the SF method against SPME in the pure water system.  }
225 < \label{linearFit}
226 < \end{figure}
221 > \subsection{The Wolf and Zahn Methods}
222 > In a recent paper by Wolf \textit{et al.}, a procedure was outlined
223 > for the accurate accumulation of electrostatic interactions in an
224 > efficient pairwise fashion.  This procedure lacks the inherent
225 > periodicity of the Ewald summation.\cite{Wolf99} Wolf \textit{et al.}
226 > observed that the electrostatic interaction is effectively
227 > short-ranged in condensed phase systems and that neutralization of the
228 > charge contained within the cutoff radius is crucial for potential
229 > stability. They devised a pairwise summation method that ensures
230 > charge neutrality and gives results similar to those obtained with the
231 > Ewald summation.  The resulting shifted Coulomb potential includes
232 > image-charges subtracted out through placement on the cutoff sphere
233 > and a distance-dependent damping function (identical to that seen in
234 > the real-space portion of the Ewald sum) to aid convergence
235 > \begin{equation}
236 > 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\}.
237 > \label{eq:WolfPot}
238 > \end{equation}
239 > Eq. (\ref{eq:WolfPot}) is essentially the common form of a shifted
240 > potential.  However, neutralizing the charge contained within each
241 > cutoff sphere requires the placement of a self-image charge on the
242 > surface of the cutoff sphere.  This additional self-term in the total
243 > potential enabled Wolf {\it et al.}  to obtain excellent estimates of
244 > Madelung energies for many crystals.
245  
246 < With 500 independent configurations, 124,750 $\Delta E$ data points are used in a regression of a single system.  Results and discussion for the individual analysis of each of the system types appear in the supporting information.  To probe the applicability of each method in the general case, all the different system types were included in a single regression.  The results for this regression are shown in figure \ref{delE}.  
246 > In order to use their charge-neutralized potential in molecular
247 > dynamics simulations, Wolf \textit{et al.} suggested taking the
248 > derivative of this potential prior to evaluation of the limit.  This
249 > procedure gives an expression for the forces,
250 > \begin{equation}
251 > 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\},
252 > \label{eq:WolfForces}
253 > \end{equation}
254 > that incorporates both image charges and damping of the electrostatic
255 > interaction.
256 >
257 > More recently, Zahn \textit{et al.} investigated these potential and
258 > force expressions for use in simulations involving water.\cite{Zahn02}
259 > In their work, they pointed out that the forces and derivative of
260 > the potential are not commensurate.  Attempts to use both
261 > eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
262 > to poor energy conservation.  They correctly observed that taking the
263 > limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
264 > derivatives gives forces for a different potential energy function
265 > than the one shown in eq. (\ref{eq:WolfPot}).
266 >
267 > Zahn \textit{et al.} introduced a modified form of this summation
268 > method as a way to use the technique in Molecular Dynamics
269 > simulations.  They proposed a new damped Coulomb potential,
270 > \begin{equation}
271 > V_{\textrm{Zahn}}(r_{ij}) = q_iq_j\left\{\frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}}-\left[\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right]\left(r_{ij}-R_\mathrm{c}\right)\right\},
272 > \label{eq:ZahnPot}
273 > \end{equation}
274 > and showed that this potential does fairly well at capturing the
275 > structural and dynamic properties of water compared the same
276 > properties obtained using the Ewald sum.
277 >
278 > \subsection{Simple Forms for Pairwise Electrostatics}
279 >
280 > The potentials proposed by Wolf \textit{et al.} and Zahn \textit{et
281 > al.} are constructed using two different (and separable) computational
282 > tricks: \begin{enumerate}
283 > \item shifting through the use of image charges, and
284 > \item damping the electrostatic interaction.
285 > \end{enumerate}  Wolf \textit{et al.} treated the
286 > development of their summation method as a progressive application of
287 > these techniques,\cite{Wolf99} while Zahn \textit{et al.} founded
288 > their damped Coulomb modification (Eq. (\ref{eq:ZahnPot})) on the
289 > post-limit forces (Eq. (\ref{eq:WolfForces})) which were derived using
290 > both techniques.  It is possible, however, to separate these
291 > tricks and study their effects independently.
292 >
293 > Starting with the original observation that the effective range of the
294 > electrostatic interaction in condensed phases is considerably less
295 > than $r^{-1}$, either the cutoff sphere neutralization or the
296 > distance-dependent damping technique could be used as a foundation for
297 > a new pairwise summation method.  Wolf \textit{et al.} made the
298 > observation that charge neutralization within the cutoff sphere plays
299 > a significant role in energy convergence; therefore we will begin our
300 > analysis with the various shifted forms that maintain this charge
301 > neutralization.  We can evaluate the methods of Wolf
302 > \textit{et al.}  and Zahn \textit{et al.} by considering the standard
303 > shifted potential,
304 > \begin{equation}
305 > V_\textrm{SP}(r) =      \begin{cases}
306 > v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
307 > R_\textrm{c}  
308 > \end{cases},
309 > \label{eq:shiftingPotForm}
310 > \end{equation}
311 > and shifted force,
312 > \begin{equation}
313 > V_\textrm{SF}(r) =      \begin{cases}
314 > v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
315 > &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
316 >                                                \end{cases},
317 > \label{eq:shiftingForm}
318 > \end{equation}
319 > functions where $v(r)$ is the unshifted form of the potential, and
320 > $v_c$ is $v(R_\textrm{c})$.  The Shifted Force ({\sc sf}) form ensures
321 > that both the potential and the forces goes to zero at the cutoff
322 > radius, while the Shifted Potential ({\sc sp}) form only ensures the
323 > potential is smooth at the cutoff radius
324 > ($R_\textrm{c}$).\cite{Allen87}
325  
326 + The forces associated with the shifted potential are simply the forces
327 + of the unshifted potential itself (when inside the cutoff sphere),
328 + \begin{equation}
329 + F_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
330 + \end{equation}
331 + and are zero outside.  Inside the cutoff sphere, the forces associated
332 + with the shifted force form can be written,
333 + \begin{equation}
334 + F_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
335 + v(r)}{dr} \right)_{r=R_\textrm{c}}.
336 + \end{equation}
337 +
338 + If the potential, $v(r)$, is taken to be the normal Coulomb potential,
339 + \begin{equation}
340 + v(r) = \frac{q_i q_j}{r},
341 + \label{eq:Coulomb}
342 + \end{equation}
343 + then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
344 + al.}'s undamped prescription:
345 + \begin{equation}
346 + V_\textrm{SP}(r) =
347 + q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
348 + r\leqslant R_\textrm{c},
349 + \label{eq:SPPot}
350 + \end{equation}
351 + with associated forces,
352 + \begin{equation}
353 + F_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
354 + \label{eq:SPForces}
355 + \end{equation}
356 + These forces are identical to the forces of the standard Coulomb
357 + interaction, and cutting these off at $R_c$ was addressed by Wolf
358 + \textit{et al.} as undesirable.  They pointed out that the effect of
359 + the image charges is neglected in the forces when this form is
360 + used,\cite{Wolf99} thereby eliminating any benefit from the method in
361 + molecular dynamics.  Additionally, there is a discontinuity in the
362 + forces at the cutoff radius which results in energy drift during MD
363 + simulations.
364 +
365 + The shifted force ({\sc sf}) form using the normal Coulomb potential
366 + will give,
367 + \begin{equation}
368 + 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}.
369 + \label{eq:SFPot}
370 + \end{equation}
371 + with associated forces,
372 + \begin{equation}
373 + F_\textrm{SF}(r) =  q_iq_j\left(\frac{1}{r^2}-\frac{1}{R_\textrm{c}^2}\right) \quad r\leqslant R_\textrm{c}.
374 + \label{eq:SFForces}
375 + \end{equation}
376 + This formulation has the benefits that there are no discontinuities at
377 + the cutoff radius, while the neutralizing image charges are present in
378 + both the energy and force expressions.  It would be simple to add the
379 + self-neutralizing term back when computing the total energy of the
380 + system, thereby maintaining the agreement with the Madelung energies.
381 + A side effect of this treatment is the alteration in the shape of the
382 + potential that comes from the derivative term.  Thus, a degree of
383 + clarity about agreement with the empirical potential is lost in order
384 + to gain functionality in dynamics simulations.
385 +
386 + Wolf \textit{et al.} originally discussed the energetics of the
387 + shifted Coulomb potential (Eq. \ref{eq:SPPot}) and found that it was
388 + insufficient for accurate determination of the energy with reasonable
389 + cutoff distances.  The calculated Madelung energies fluctuated around
390 + the expected value as the cutoff radius was increased, but the
391 + oscillations converged toward the correct value.\cite{Wolf99} A
392 + damping function was incorporated to accelerate the convergence; and
393 + though alternative forms for the damping function could be
394 + used,\cite{Jones56,Heyes81} the complimentary error function was
395 + chosen to mirror the effective screening used in the Ewald summation.
396 + Incorporating this error function damping into the simple Coulomb
397 + potential,
398 + \begin{equation}
399 + v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
400 + \label{eq:dampCoulomb}
401 + \end{equation}
402 + the shifted potential (eq. (\ref{eq:SPPot})) becomes
403 + \begin{equation}
404 + V_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r}-\frac{\textrm{erfc}\left(\alpha R_\textrm{c}\right)}{R_\textrm{c}}\right) \quad r\leqslant R_\textrm{c},
405 + \label{eq:DSPPot}
406 + \end{equation}
407 + with associated forces,
408 + \begin{equation}
409 + F_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \quad r\leqslant R_\textrm{c}.
410 + \label{eq:DSPForces}
411 + \end{equation}
412 + Again, this damped shifted potential suffers from a
413 + force-discontinuity at the cutoff radius, and the image charges play
414 + no role in the forces.  To remedy these concerns, one may derive a
415 + {\sc sf} variant by including the derivative term in
416 + eq. (\ref{eq:shiftingForm}),
417 + \begin{equation}
418 + \begin{split}
419 + V_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\frac{\mathrm{erfc}\left(\alpha r\right)}{r}-\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}} \\ &\left.+\left(\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right)\left(r-R_\mathrm{c}\right)\ \right] \quad r\leqslant R_\textrm{c}.
420 + \label{eq:DSFPot}
421 + \end{split}
422 + \end{equation}
423 + The derivative of the above potential will lead to the following forces,
424 + \begin{equation}
425 + \begin{split}
426 + 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}.
427 + \label{eq:DSFForces}
428 + \end{split}
429 + \end{equation}
430 + If the damping parameter $(\alpha)$ is set to zero, the undamped case,
431 + eqs. (\ref{eq:SPPot} through \ref{eq:SFForces}) are correctly
432 + recovered from eqs. (\ref{eq:DSPPot} through \ref{eq:DSFForces}).
433 +
434 + This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
435 + derived by Zahn \textit{et al.}; however, there are two important
436 + differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from
437 + eq. (\ref{eq:shiftingForm}) is equal to eq. (\ref{eq:dampCoulomb})
438 + with $r$ replaced by $R_\textrm{c}$.  This term is {\it not} present
439 + in the Zahn potential, resulting in a potential discontinuity as
440 + particles cross $R_\textrm{c}$.  Second, the sign of the derivative
441 + portion is different.  The missing $v_\textrm{c}$ term would not
442 + affect molecular dynamics simulations (although the computed energy
443 + would be expected to have sudden jumps as particle distances crossed
444 + $R_c$).  The sign problem is a potential source of errors, however.
445 + In fact, it introduces a discontinuity in the forces at the cutoff,
446 + because the force function is shifted in the wrong direction and
447 + doesn't cross zero at $R_\textrm{c}$.
448 +
449 + Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
450 + electrostatic summation method in which the potential and forces are
451 + continuous at the cutoff radius and which incorporates the damping
452 + function proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of
453 + this paper, we will evaluate exactly how good these methods ({\sc sp},
454 + {\sc sf}, damping) are at reproducing the correct electrostatic
455 + summation performed by the Ewald sum.
456 +
457 + \subsection{Other alternatives}
458 + In addition to the methods described above, we considered some other
459 + techniques that are commonly used in molecular simulations.  The
460 + simplest of these is group-based cutoffs.  Though of little use for
461 + charged molecules, collecting atoms into neutral groups takes
462 + advantage of the observation that the electrostatic interactions decay
463 + faster than those for monopolar pairs.\cite{Steinbach94} When
464 + considering these molecules as neutral groups, the relative
465 + orientations of the molecules control the strength of the interactions
466 + at the cutoff radius.  Consequently, as these molecular particles move
467 + through $R_\textrm{c}$, the energy will drift upward due to the
468 + anisotropy of the net molecular dipole interactions.\cite{Rahman71} To
469 + maintain good energy conservation, both the potential and derivative
470 + need to be smoothly switched to zero at $R_\textrm{c}$.\cite{Adams79}
471 + This is accomplished using a standard switching function.  If a smooth
472 + second derivative is desired, a fifth (or higher) order polynomial can
473 + be used.\cite{Andrea83}
474 +
475 + Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
476 + and to incorporate the effects of the surroundings, a method like
477 + Reaction Field ({\sc rf}) can be used.  The original theory for {\sc
478 + rf} was originally developed by Onsager,\cite{Onsager36} and it was
479 + applied in simulations for the study of water by Barker and
480 + Watts.\cite{Barker73} In modern simulation codes, {\sc rf} is simply
481 + an extension of the group-based cutoff method where the net dipole
482 + within the cutoff sphere polarizes an external dielectric, which
483 + reacts back on the central dipole.  The same switching function
484 + considerations for group-based cutoffs need to made for {\sc rf}, with
485 + the additional pre-specification of a dielectric constant.
486 +
487 + \section{Methods}
488 +
489 + In classical molecular mechanics simulations, there are two primary
490 + techniques utilized to obtain information about the system of
491 + interest: Monte Carlo (MC) and Molecular Dynamics (MD).  Both of these
492 + techniques utilize pairwise summations of interactions between
493 + particle sites, but they use these summations in different ways.
494 +
495 + In MC, the potential energy difference between configurations dictates
496 + the progression of MC sampling.  Going back to the origins of this
497 + method, the acceptance criterion for the canonical ensemble laid out
498 + by Metropolis \textit{et al.} states that a subsequent configuration
499 + is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta E/kT)$, where
500 + $\xi$ is a random number between 0 and 1.\cite{Metropolis53}
501 + Maintaining the correct $\Delta E$ when using an alternate method for
502 + handling the long-range electrostatics will ensure proper sampling
503 + from the ensemble.
504 +
505 + In MD, the derivative of the potential governs how the system will
506 + progress in time.  Consequently, the force and torque vectors on each
507 + body in the system dictate how the system evolves.  If the magnitude
508 + and direction of these vectors are similar when using alternate
509 + electrostatic summation techniques, the dynamics in the short term
510 + will be indistinguishable.  Because error in MD calculations is
511 + cumulative, one should expect greater deviation at longer times,
512 + although methods which have large differences in the force and torque
513 + vectors will diverge from each other more rapidly.
514 +
515 + \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
516 +
517 + The pairwise summation techniques (outlined in section
518 + \ref{sec:ESMethods}) were evaluated for use in MC simulations by
519 + studying the energy differences between conformations.  We took the
520 + {\sc spme}-computed energy difference between two conformations to be the
521 + correct behavior. An ideal performance by an alternative method would
522 + reproduce these energy differences exactly (even if the absolute
523 + energies calculated by the methods are different).  Since none of the
524 + methods provide exact energy differences, we used linear least squares
525 + regressions of energy gap data to evaluate how closely the methods
526 + mimicked the Ewald energy gaps.  Unitary results for both the
527 + correlation (slope) and correlation coefficient for these regressions
528 + indicate perfect agreement between the alternative method and {\sc spme}.
529 + Sample correlation plots for two alternate methods are shown in
530 + Fig. \ref{fig:linearFit}.
531 +
532   \begin{figure}
533   \centering
534 < \includegraphics[width=3.25in]{./delEplot.pdf}
535 < \caption{The results from the statistical analysis of the $\Delta$E results for all the system types at 9 \AA\ (${\bullet}$), 12 \AA\ ($\blacksquare$), and 15 \AA\ ($\blacktriangledown$) cutoff radii.  Results close to a value of 1 (dashed line) indicate $\Delta E$ values from that particular method (listed on the left) are nearly indistinguishable from those obtained from SPME.  Reaction Field results do not include NaCl crystal or melt configurations.}
536 < \label{delE}
534 > \includegraphics[width = \linewidth]{./dualLinear.pdf}
535 > \caption{Example least squares regressions of the configuration energy
536 > differences for SPC/E water systems. The upper plot shows a data set
537 > with a poor correlation coefficient ($R^2$), while the lower plot
538 > shows a data set with a good correlation coefficient.}
539 > \label{fig:linearFit}
540   \end{figure}
541  
542 < In figure \ref{delE}, it is apparent that it is unreasonable to expect realistic results using an unmodified cutoff.  This is not all that surprising since this results in large energy fluctuations as atoms move in and out of the cutoff radius.  These fluctuations can be alleviated to some degree by using group based cutoffs with a switching function.  The Group Switch Cutoff row doesn't show a significant improvement in this plot because the salt and salt solution systems contain non-neutral groups, see the accompanying supporting information for a comparison where all groups are neutral.  Correcting the resulting charged cutoff sphere is one of the purposes of the shifted potential proposed by Wolf \textit{et al.}, and this correction indeed improves the results as seen in the Shifted Potental rows.  While the undamped case of this method is a significant improvement over the pure cutoff, it still doesn't correlate that well with SPME.  Inclusion of potential damping improves the results, and using an $\alpha$ of 0.2 \AA $^{-1}$ shows an excellent correlation and quality of fit with the SPME results, particularly with a cutoff radius greater than 12 \AA .  Use of a larger damping parameter is more helpful for the shortest cutoff shown, but it has a detrimental effect on simulations with larger cutoffs.  This trend is repeated in the Shifted Force rows, where increasing damping results in progressively poorer correlation; however, damping looks to be unnecessary with this method.  Overall, the undamped case is the best performing set, as the correlation and quality of fits are consistently superior regardless of the cutoff distance.  This result is beneficial in that the undamped case is less computationally prohibitive do to the lack of complimentary error function calculation when performing the electrostatic pair interaction.  The reaction field results illustrates some of that method's limitations, primarily that it was developed for use in homogenous systems; although it does provide results that are an improvement over those from an unmodified cutoff.
542 > Each of the seven system types (detailed in section \ref{sec:RepSims})
543 > were represented using 500 independent configurations.  Thus, each of
544 > the alternative (non-Ewald) electrostatic summation methods was
545 > evaluated using an accumulated 873,250 configurational energy
546 > differences.
547  
548 < \subsection{Force Magnitude Comparison}
548 > Results and discussion for the individual analysis of each of the
549 > system types appear in the supporting information, while the
550 > cumulative results over all the investigated systems appears below in
551 > section \ref{sec:EnergyResults}.
552  
553 < While studying the energy differences provides insight into how comparable these methods are energetically, if we want to use these methods in Molecular Dynamics simulations, we also need to consider their effect on forces and torques.  Both the magnitude and the direction of the force and torque vectors of each of the bodies in the system can be compared to those observed while using SPME.  Analysis of the magnitude of these vectors can be performed in the manner described previously for comparing $\Delta E$ values, only instead of a single value between two system configurations, there is a value for each particle in each configuration.  For a system of 1000 water molecules and 40 ions, there are 1040 force vectors and 1000 torque vectors.  With 500 configurations, this results in excess of 500,000 data samples for each system type.  Figures \ref{frcMag} and \ref{trqMag} respectively show the force and torque vector magnitude results for the accumulated analysis over all the system types.
553 > \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
554 > We evaluated the pairwise methods (outlined in section
555 > \ref{sec:ESMethods}) for use in MD simulations by
556 > comparing the force and torque vectors with those obtained using the
557 > reference Ewald summation ({\sc spme}).  Both the magnitude and the
558 > direction of these vectors on each of the bodies in the system were
559 > analyzed.  For the magnitude of these vectors, linear least squares
560 > regression analyses were performed as described previously for
561 > comparing $\Delta E$ values.  Instead of a single energy difference
562 > between two system configurations, we compared the magnitudes of the
563 > forces (and torques) on each molecule in each configuration.  For a
564 > system of 1000 water molecules and 40 ions, there are 1040 force
565 > vectors and 1000 torque vectors.  With 500 configurations, this
566 > results in 520,000 force and 500,000 torque vector comparisons.
567 > Additionally, data from seven different system types was aggregated
568 > before the comparison was made.
569  
570 + The {\it directionality} of the force and torque vectors was
571 + investigated through measurement of the angle ($\theta$) formed
572 + between those computed from the particular method and those from {\sc spme},
573 + \begin{equation}
574 + \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
575 + \end{equation}
576 + where $\hat{F}_\textrm{M}$ is the unit vector pointing along the force
577 + vector computed using method M.  Each of these $\theta$ values was
578 + accumulated in a distribution function and weighted by the area on the
579 + unit sphere.  Since this distribution is a measure of angular error
580 + between two different electrostatic summation methods, there is no
581 + {\it a priori} reason for the profile to adhere to any specific
582 + shape. Thus, gaussian fits were used to measure the width of the
583 + resulting distributions. The variance ($\sigma^2$) was extracted from
584 + each of these fits and was used to compare distribution widths.
585 + Values of $\sigma^2$ near zero indicate vector directions
586 + indistinguishable from those calculated when using the reference
587 + method ({\sc spme}).
588 +
589 + \subsection{Short-time Dynamics}
590 +
591 + The effects of the alternative electrostatic summation methods on the
592 + short-time dynamics of charged systems were evaluated by considering a
593 + NaCl crystal at a temperature of 1000 K.  A subset of the best
594 + performing pairwise methods was used in this comparison.  The NaCl
595 + crystal was chosen to avoid possible complications from the treatment
596 + of orientational motion in molecular systems.  All systems were
597 + started with the same initial positions and velocities.  Simulations
598 + were performed under the microcanonical ensemble, and velocity
599 + autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
600 + of the trajectories,
601 + \begin{equation}
602 + C_v(t) = \frac{\langle v(0)\cdot v(t)\rangle}{\langle v^2\rangle}.
603 + \label{eq:vCorr}
604 + \end{equation}
605 + Velocity autocorrelation functions require detailed short time data,
606 + thus velocity information was saved every 2 fs over 10 ps
607 + trajectories. Because the NaCl crystal is composed of two different
608 + atom types, the average of the two resulting velocity autocorrelation
609 + functions was used for comparisons.
610 +
611 + \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
612 +
613 + The effects of the same subset of alternative electrostatic methods on
614 + the {\it long-time} dynamics of charged systems were evaluated using
615 + the same model system (NaCl crystals at 1000~K).  The power spectrum
616 + ($I(\omega)$) was obtained via Fourier transform of the velocity
617 + autocorrelation function, \begin{equation} I(\omega) =
618 + \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
619 + \label{eq:powerSpec}
620 + \end{equation}
621 + where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
622 + NaCl crystal is composed of two different atom types, the average of
623 + the two resulting power spectra was used for comparisons. Simulations
624 + were performed under the microcanonical ensemble, and velocity
625 + information was saved every 5~fs over 100~ps trajectories.
626 +
627 + \subsection{Representative Simulations}\label{sec:RepSims}
628 + A variety of representative molecular simulations were analyzed to
629 + determine the relative effectiveness of the pairwise summation
630 + techniques in reproducing the energetics and dynamics exhibited by
631 + {\sc spme}.  We wanted to span the space of typical molecular
632 + simulations (i.e. from liquids of neutral molecules to ionic
633 + crystals), so the systems studied were:
634 + \begin{enumerate}
635 + \item liquid water (SPC/E),\cite{Berendsen87}
636 + \item crystalline water (Ice I$_\textrm{c}$ crystals of SPC/E),
637 + \item NaCl crystals,
638 + \item NaCl melts,
639 + \item a low ionic strength solution of NaCl in water (0.11 M),
640 + \item a high ionic strength solution of NaCl in water (1.1 M), and
641 + \item a 6 \AA\  radius sphere of Argon in water.
642 + \end{enumerate}
643 + By utilizing the pairwise techniques (outlined in section
644 + \ref{sec:ESMethods}) in systems composed entirely of neutral groups,
645 + charged particles, and mixtures of the two, we hope to discern under
646 + which conditions it will be possible to use one of the alternative
647 + summation methodologies instead of the Ewald sum.
648 +
649 + For the solid and liquid water configurations, configurations were
650 + taken at regular intervals from high temperature trajectories of 1000
651 + SPC/E water molecules.  Each configuration was equilibrated
652 + independently at a lower temperature (300~K for the liquid, 200~K for
653 + the crystal).  The solid and liquid NaCl systems consisted of 500
654 + $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
655 + these systems were selected and equilibrated in the same manner as the
656 + water systems. In order to introduce measurable fluctuations in the
657 + configuration energy differences, the crystalline simulations were
658 + equilibrated at 1000~K, near the $T_\textrm{m}$ for NaCl. The liquid
659 + NaCl configurations needed to represent a fully disordered array of
660 + point charges, so the high temperature of 7000~K was selected for
661 + equilibration. The ionic solutions were made by solvating 4 (or 40)
662 + ions in a periodic box containing 1000 SPC/E water molecules.  Ion and
663 + water positions were then randomly swapped, and the resulting
664 + configurations were again equilibrated individually.  Finally, for the
665 + Argon / Water ``charge void'' systems, the identities of all the SPC/E
666 + waters within 6 \AA\ of the center of the equilibrated water
667 + configurations were converted to argon.
668 +
669 + These procedures guaranteed us a set of representative configurations
670 + from chemically-relevant systems sampled from appropriate
671 + ensembles. Force field parameters for the ions and Argon were taken
672 + from the force field utilized by {\sc oopse}.\cite{Meineke05}
673 +
674 + \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
675 + We compared the following alternative summation methods with results
676 + from the reference method ({\sc spme}):
677 + \begin{itemize}
678 + \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
679 + and 0.3 \AA$^{-1}$,
680 + \item {\sc sf} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
681 + and 0.3 \AA$^{-1}$,
682 + \item reaction field with an infinite dielectric constant, and
683 + \item an unmodified cutoff.
684 + \end{itemize}
685 + Group-based cutoffs with a fifth-order polynomial switching function
686 + were utilized for the reaction field simulations.  Additionally, we
687 + investigated the use of these cutoffs with the {\sc sp}, {\sc sf}, and pure
688 + cutoff.  The {\sc spme} electrostatics were performed using the {\sc tinker}
689 + implementation of {\sc spme},\cite{Ponder87} while all other calculations
690 + were performed using the {\sc oopse} molecular mechanics
691 + package.\cite{Meineke05} All other portions of the energy calculation
692 + (i.e. Lennard-Jones interactions) were handled in exactly the same
693 + manner across all systems and configurations.
694 +
695 + The alternative methods were also evaluated with three different
696 + cutoff radii (9, 12, and 15 \AA).  As noted previously, the
697 + convergence parameter ($\alpha$) plays a role in the balance of the
698 + real-space and reciprocal-space portions of the Ewald calculation.
699 + Typical molecular mechanics packages set this to a value dependent on
700 + the cutoff radius and a tolerance (typically less than $1 \times
701 + 10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
702 + increasing accuracy at the expense of computational time spent on the
703 + reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
704 + The default {\sc tinker} tolerance of $1 \times 10^{-8}$ kcal/mol was used
705 + in all {\sc spme} calculations, resulting in Ewald coefficients of 0.4200,
706 + 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
707 + respectively.
708 +
709 + \section{Results and Discussion}
710 +
711 + \subsection{Configuration Energy Differences}\label{sec:EnergyResults}
712 + In order to evaluate the performance of the pairwise electrostatic
713 + summation methods for Monte Carlo simulations, the energy differences
714 + between configurations were compared to the values obtained when using
715 + {\sc spme}.  The results for the subsequent regression analysis are shown in
716 + figure \ref{fig:delE}.
717 +
718   \begin{figure}
719   \centering
720 < \includegraphics[width=3.25in]{./frcMagplot.pdf}
721 < \caption{The results from the statistical analysis of the force vector magnitude results for all the system types at 9 \AA\ (${\bullet}$), 12 \AA\ ($\blacksquare$), and 15 \AA\ ($\blacktriangledown$) cutoff radii.  Results close to a value of 1 (dashed line) indicate force vector magnitude values from that particular method (listed on the left) are nearly indistinguishable from those obtained from SPME.}
722 < \label{frcMag}
720 > \includegraphics[width=5.5in]{./delEplot.pdf}
721 > \caption{Statistical analysis of the quality of configurational energy
722 > differences for a given electrostatic method compared with the
723 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
724 > indicate $\Delta E$ values indistinguishable from those obtained using
725 > {\sc spme}.  Different values of the cutoff radius are indicated with
726 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
727 > inverted triangles).}
728 > \label{fig:delE}
729   \end{figure}
730  
731 < The results in figure \ref{frcMag} for the most part parallel those seen in the previous look at the $\Delta E$ results.  The unmodified cutoff results are poor, but using group based cutoffs and a switching function provides a improvement much more significant than what was seen with $\Delta E$.  Looking at the Shifted Potential sets, the slope and R$^2$ improve with the use of damping to an optimal result of 0.2 \AA $^{-1}$ for the 12 and 15 \AA\ cutoffs.  Further increases in damping, while beneficial for simulations with a cutoff radius of 9 \AA\ , is detrimental to simulations with larger cutoff radii.  The undamped Shifted Force method gives forces in line with those obtained using SPME, and use of a damping function gives little to no gain.  The reaction field results are surprisingly good, considering the poor quality of the fits for the $\Delta E$ results.  There is still a considerable degree of scatter in the data, but it correlates well in general.
731 > The most striking feature of this plot is how well the Shifted Force
732 > ({\sc sf}) and Shifted Potential ({\sc sp}) methods capture the energy
733 > differences.  For the undamped {\sc sf} method, and the
734 > moderately-damped {\sc sp} methods, the results are nearly
735 > indistinguishable from the Ewald results.  The other common methods do
736 > significantly less well.  
737  
738 < \subsection{Torque Magnitude Comparison}
738 > The unmodified cutoff method is essentially unusable.  This is not
739 > surprising since hard cutoffs give large energy fluctuations as atoms
740 > or molecules move in and out of the cutoff
741 > radius.\cite{Rahman71,Adams79} These fluctuations can be alleviated to
742 > some degree by using group based cutoffs with a switching
743 > function.\cite{Adams79,Steinbach94,Leach01} However, we do not see
744 > significant improvement using the group-switched cutoff because the
745 > salt and salt solution systems contain non-neutral groups.  Interested
746 > readers can consult the accompanying supporting information for a
747 > comparison where all groups are neutral.
748  
749 + For the {\sc sp} method, inclusion of electrostatic damping improves
750 + the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
751 + shows an excellent correlation and quality of fit with the {\sc spme}
752 + results, particularly with a cutoff radius greater than 12
753 + \AA .  Use of a larger damping parameter is more helpful for the
754 + shortest cutoff shown, but it has a detrimental effect on simulations
755 + with larger cutoffs.  
756 +
757 + In the {\sc sf} sets, increasing damping results in progressively {\it
758 + worse} correlation with Ewald.  Overall, the undamped case is the best
759 + performing set, as the correlation and quality of fits are
760 + consistently superior regardless of the cutoff distance.  The undamped
761 + case is also less computationally demanding (because no evaluation of
762 + the complementary error function is required).
763 +
764 + The reaction field results illustrates some of that method's
765 + limitations, primarily that it was developed for use in homogenous
766 + systems; although it does provide results that are an improvement over
767 + those from an unmodified cutoff.
768 +
769 + \subsection{Magnitudes of the Force and Torque Vectors}
770 +
771 + Evaluation of pairwise methods for use in Molecular Dynamics
772 + simulations requires consideration of effects on the forces and
773 + torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
774 + regression results for the force and torque vector magnitudes,
775 + respectively.  The data in these figures was generated from an
776 + accumulation of the statistics from all of the system types.
777 +
778   \begin{figure}
779   \centering
780 < \includegraphics[width=3.25in]{./trqMagplot.pdf}
781 < \caption{The results from the statistical analysis of the torque vector magnitude results for all the system types at 9 \AA\ (${\bullet}$), 12 \AA\ ($\blacksquare$), and 15 \AA\ ($\blacktriangledown$) cutoff radii.  Results close to a value of 1 (dashed line) indicate torque vector magnitude values from that particular method (listed on the left) are nearly indistinguishable from those obtained from SPME.  Torques are only accumulated on the rigid water molecules, so these results exclude NaCl the systems.}
782 < \label{trqMag}
780 > \includegraphics[width=5.5in]{./frcMagplot.pdf}
781 > \caption{Statistical analysis of the quality of the force vector
782 > magnitudes for a given electrostatic method compared with the
783 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
784 > indicate force magnitude values indistinguishable from those obtained
785 > using {\sc spme}.  Different values of the cutoff radius are indicated with
786 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
787 > inverted triangles).}
788 > \label{fig:frcMag}
789   \end{figure}
790  
791 < The torque vector magnitude results in figure \ref{trqMag} are similar to those seen for the forces, but more clearly show the improved behavior with increasing cutoff radius.  Moderate damping is beneficial to the Shifted Potential and unnecessary with the Shifted Force method, and they also show that over-damping adversely effects all cutoff radii rather than showing an improvement for systems with short cutoffs.  The reaction field method performs well when calculating the torques, better than the Shifted Force method over this limited data set.
791 > Again, it is striking how well the Shifted Potential and Shifted Force
792 > methods are doing at reproducing the {\sc spme} forces.  The undamped and
793 > weakly-damped {\sc sf} method gives the best agreement with Ewald.
794 > This is perhaps expected because this method explicitly incorporates a
795 > smooth transition in the forces at the cutoff radius as well as the
796 > neutralizing image charges.
797  
798 < \subsection{Force and Torque Direction Comparison}
798 > Figure \ref{fig:frcMag}, for the most part, parallels the results seen
799 > in the previous $\Delta E$ section.  The unmodified cutoff results are
800 > poor, but using group based cutoffs and a switching function provides
801 > an improvement much more significant than what was seen with $\Delta
802 > E$.
803  
804 < Having force and torque vectors with magnitudes that are well correlated to SPME is good, but if they are not pointing in the proper direction the results will be incorrect.  These vector directions were investigated through measurement of the angle formed between them and those from SPME.  The dot product of these unit vectors provides a theta value that is accumulated in a distribution function, weighted by the area on the unit sphere.  Narrow distributions of theta values indicates similar to identical results between the tested method and SPME.  To measure the narrowness of the resulting distributions, non-linear Gaussian fits were performed.
804 > With moderate damping and a large enough cutoff radius, the {\sc sp}
805 > method is generating usable forces.  Further increases in damping,
806 > while beneficial for simulations with a cutoff radius of 9 \AA\ , is
807 > detrimental to simulations with larger cutoff radii.
808  
809 + The reaction field results are surprisingly good, considering the poor
810 + quality of the fits for the $\Delta E$ results.  There is still a
811 + considerable degree of scatter in the data, but the forces correlate
812 + well with the Ewald forces in general.  We note that the reaction
813 + field calculations do not include the pure NaCl systems, so these
814 + results are partly biased towards conditions in which the method
815 + performs more favorably.
816 +
817   \begin{figure}
818   \centering
819 < \includegraphics[width=3.25in]{./gaussFit.pdf}
820 < \caption{Example fitting of the angular distribution of the force vectors over all of the studied systems.  The solid and dotted lines show Gaussian and Voigt fits of the distribution data respectively.  Even though the Voigt profile make for a more accurate fit, the Gaussian was used due to more versatile statistical results.}
821 < \label{gaussian}
819 > \includegraphics[width=5.5in]{./trqMagplot.pdf}
820 > \caption{Statistical analysis of the quality of the torque vector
821 > magnitudes for a given electrostatic method compared with the
822 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
823 > indicate torque magnitude values indistinguishable from those obtained
824 > using {\sc spme}.  Different values of the cutoff radius are indicated with
825 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
826 > inverted triangles).}
827 > \label{fig:trqMag}
828   \end{figure}
829  
830 < Figure \ref{gaussian} shows an example distribution and the non-linear fit applied.  The solid line is a Gaussian profile, while the dotted line is a Voigt profile, a convolution of a Gaussian and a Lorentzian profile.  Since this distribution is a measure of angular error between two different electrostatic summation methods, there is particular reason for it to adhere to a particular shape.  Because of this and the Gaussian profile's more statistically meaningful properties, Gaussian fitting was used to compare all the methods considered in this study.  The results (Fig. \ref{frcTrqAng}) are compared through the variance ($\sigma^2$) of these non-linear fits.  
830 > Molecular torques were only available from the systems which contained
831 > rigid molecules (i.e. the systems containing water).  The data in
832 > fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
833 >
834 > Torques appear to be much more sensitive to charges at a longer
835 > distance.   The striking feature in comparing the new electrostatic
836 > methods with {\sc spme} is how much the agreement improves with increasing
837 > cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
838 > appears to be reproducing the {\sc spme} torques most accurately.  
839 >
840 > Water molecules are dipolar, and the reaction field method reproduces
841 > the effect of the surrounding polarized medium on each of the
842 > molecular bodies. Therefore it is not surprising that reaction field
843 > performs best of all of the methods on molecular torques.
844 >
845 > \subsection{Directionality of the Force and Torque Vectors}
846 >
847 > It is clearly important that a new electrostatic method can reproduce
848 > the magnitudes of the force and torque vectors obtained via the Ewald
849 > sum. However, the {\it directionality} of these vectors will also be
850 > vital in calculating dynamical quantities accurately.  Force and
851 > torque directionalities were investigated by measuring the angles
852 > formed between these vectors and the same vectors calculated using
853 > {\sc spme}.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
854 > variance ($\sigma^2$) of the Gaussian fits of the angle error
855 > distributions of the combined set over all system types.
856  
857   \begin{figure}
858   \centering
859 < \includegraphics[width=3.25in]{./frcTrqAngplot.pdf}
860 < \caption{The results from the statistical analysis of the force and torque vector angular distributions for all the system types at 9 \AA\ (${\bullet}$), 12 \AA\ ($\blacksquare$), and 15 \AA\ ($\blacktriangledown$) cutoff radii.  Plotted values are the variance ($\sigma^2$) of the Gaussian non-linear fits.  Results close to a value of 0 (dashed line) indicate force or torque vector directions from that particular method (listed on the left) are nearly indistinguishable from those obtained from SPME.  Torques are only accumulated on the rigid water molecules, so the torque vector angle results exclude NaCl the systems.}
861 < \label{frcTrqAng}
859 > \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
860 > \caption{Statistical analysis of the width of the angular distribution
861 > that the force and torque vectors from a given electrostatic method
862 > make with their counterparts obtained using the reference Ewald sum.
863 > Results with a variance ($\sigma^2$) equal to zero (dashed line)
864 > indicate force and torque directions indistinguishable from those
865 > obtained using {\sc spme}.  Different values of the cutoff radius are
866 > indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
867 > and 15\AA\ = inverted triangles).}
868 > \label{fig:frcTrqAng}
869   \end{figure}
870  
871 < Both the force and torque $\sigma^2$ results from the analysis of the total accumulated system data are tabulated in figure \ref{frcTrqAng}.  All of the sets, aside from the over-damped case show the improvement afforded by choosing a longer simulation cutoff.  Increasing the cutoff from 9 to 12 \AA\ typically results in a halving of $\sigma^2$, with a similar improvement going from 12 to 15 \AA .  The undamped Shifted Force, Group Based Cutoff, and Reaction Field methods all do equivalently well at capturing the direction of both the force and torque vectors.  Using damping improves the angular behavior significantly for the Shifted Potential and moderately for the Shifted Force methods.  Increasing the damping too far is destructive for both methods, particularly to the torque vectors.  Again it is important to recognize that the force vectors cover all particles in the systems, while torque vectors are only available for neutral molecular groups.  Damping appears to have a more beneficial non-neutral bodies, and this observation is investigated further in the accompanying supporting information.  
871 > Both the force and torque $\sigma^2$ results from the analysis of the
872 > total accumulated system data are tabulated in figure
873 > \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
874 > sp}) method would be essentially unusable for molecular dynamics
875 > unless the damping function is added.  The Shifted Force ({\sc sf})
876 > method, however, is generating force and torque vectors which are
877 > within a few degrees of the Ewald results even with weak (or no)
878 > damping.
879  
880 + All of the sets (aside from the over-damped case) show the improvement
881 + afforded by choosing a larger cutoff radius.  Increasing the cutoff
882 + from 9 to 12 \AA\ typically results in a halving of the width of the
883 + distribution, with a similar improvement when going from 12 to 15
884 + \AA .
885 +
886 + The undamped {\sc sf}, group-based cutoff, and reaction field methods
887 + all do equivalently well at capturing the direction of both the force
888 + and torque vectors.  Using the electrostatic damping improves the
889 + angular behavior significantly for the {\sc sp} and moderately for the
890 + {\sc sf} methods.  Overdamping is detrimental to both methods.  Again
891 + it is important to recognize that the force vectors cover all
892 + particles in all seven systems, while torque vectors are only
893 + available for neutral molecular groups.  Damping is more beneficial to
894 + charged bodies, and this observation is investigated further in the
895 + accompanying supporting information.
896 +
897 + Although not discussed previously, group based cutoffs can be applied
898 + to both the {\sc sp} and {\sc sf} methods.  The group-based cutoffs
899 + will reintroduce small discontinuities at the cutoff radius, but the
900 + effects of these can be minimized by utilizing a switching function.
901 + Though there are no significant benefits or drawbacks observed in
902 + $\Delta E$ and the force and torque magnitudes when doing this, there
903 + is a measurable improvement in the directionality of the forces and
904 + torques. Table \ref{tab:groupAngle} shows the angular variances
905 + obtained using group based cutoffs along with the results seen in
906 + figure \ref{fig:frcTrqAng}.  The {\sc sp} (with an $\alpha$ of 0.2
907 + \AA$^{-1}$ or smaller) shows much narrower angular distributions when
908 + using group-based cutoffs. The {\sc sf} method likewise shows
909 + improvement in the undamped and lightly damped cases.
910 +
911   \begin{table}[htbp]
912 <   \centering
913 <   \caption{Variance ($\sigma^2$) of the force (top set) and torque (bottom set) vector angle difference distributions for the Shifted Potential and Shifted Force methods.  Calculations were performed both with (Y) and without (N) group based cutoffs and a switching function.  The $\alpha$ values have units of \AA$^{-1}$ and the variance values have units of degrees$^2$.}  
912 >   \centering
913 >   \caption{Statistical analysis of the angular
914 >   distributions that the force (upper) and torque (lower) vectors
915 >   from a given electrostatic method make with their counterparts
916 >   obtained using the reference Ewald sum.  Calculations were
917 >   performed both with (Y) and without (N) group based cutoffs and a
918 >   switching function.  The $\alpha$ values have units of \AA$^{-1}$
919 >   and the variance values have units of degrees$^2$.}
920 >
921     \begin{tabular}{@{} ccrrrrrrrr @{}}
922        \\
923        \toprule
# Line 173 | Line 945 | Both the force and torque $\sigma^2$ results from the
945  
946        \bottomrule
947     \end{tabular}
948 <   \label{groupAngle}
948 >   \label{tab:groupAngle}
949   \end{table}
950  
951 < Although not discussed previously, group based cutoffs can be applied to both the Shifted Potential and Force methods.  Use off a switching function corrects for the discontinuities that arise when atoms of a group exit the cutoff before the group's center of mass.  Though there are no significant benefit or drawbacks observed in $\Delta E$ and vector magnitude results when doing this, there is a measurable improvement in the vector angle results.  Table \ref{groupAngle} shows the angular variance values obtained using group based cutoffs and a switching function alongside the standard results seen in figure \ref{frcTrqAng} for comparison purposes.  The Shifted Potential shows much narrower angular distributions for both the force and torque vectors when using an $\alpha$ of 0.2 \AA$^{-1}$ or less, while Shifted Force shows improvements in the undamped and lightly damped cases.  Thus, by calculating the electrostatic interactions in terms of molecular pairs rather than atomic pairs, the direction of the force and torque vectors are determined more accurately.  
951 > One additional trend in table \ref{tab:groupAngle} is that the
952 > $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as $\alpha$
953 > increases, something that is more obvious with group-based cutoffs.
954 > The complimentary error function inserted into the potential weakens
955 > the electrostatic interaction as the value of $\alpha$ is increased.
956 > However, at larger values of $\alpha$, it is possible to overdamp the
957 > electrostatic interaction and to remove it completely.  Kast
958 > \textit{et al.}  developed a method for choosing appropriate $\alpha$
959 > values for these types of electrostatic summation methods by fitting
960 > to $g(r)$ data, and their methods indicate optimal values of 0.34,
961 > 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
962 > respectively.\cite{Kast03} These appear to be reasonable choices to
963 > obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
964 > these findings, choices this high would introduce error in the
965 > molecular torques, particularly for the shorter cutoffs.  Based on our
966 > observations, empirical damping up to 0.2 \AA$^{-1}$ is beneficial,
967 > but damping may be unnecessary when using the {\sc sf} method.
968  
969 < One additional trend to recognize in table \ref{groupAngle} is that the $\sigma^2$ values for both Shifted Potential and Shifted Force converge as $\alpha$ increases, something that is easier to see when using group based cutoffs.  Looking back on figures \ref{delE}, \ref{frcMag}, and \ref{trqMag}, show this behavior clearly at large $\alpha$ and cutoff values.  The reason for this is that the complimentary error function inserted into the potential weakens the electrostatic interaction as $\alpha$ increases.  Thus, at larger values of $\alpha$, both the summation method types progress toward non-interacting functions, so care is required in choosing large damping functions lest one generate an undesirable loss in the pair interaction.  Kast \textit{et al.}  developed a method for choosing appropriate $\alpha$ values for these types of electrostatic summation methods by fitting to $g(r)$ data, and their methods indicate optimal values of 0.34, 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\ respectively.\cite{Kast03}  These appear to be reasonable choices to obtain proper MC behavior (Fig. \ref{delE}); however, based on these findings, choices this high would be introducing error in the molecular torques, particularly for the shorter cutoffs.  Based on the above findings, any empirical damping is arguably unnecessary with the choice of the Shifted Force method.
969 > \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
970  
971 + Zahn {\it et al.} investigated the structure and dynamics of water
972 + using eqs. (\ref{eq:ZahnPot}) and
973 + (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
974 + that a method similar (but not identical with) the damped {\sc sf}
975 + method resulted in properties very similar to those obtained when
976 + using the Ewald summation.  The properties they studied (pair
977 + distribution functions, diffusion constants, and velocity and
978 + orientational correlation functions) may not be particularly sensitive
979 + to the long-range and collective behavior that governs the
980 + low-frequency behavior in crystalline systems.  Additionally, the
981 + ionic crystals are the worst case scenario for the pairwise methods
982 + because they lack the reciprocal space contribution contained in the
983 + Ewald summation.  
984 +
985 + We are using two separate measures to probe the effects of these
986 + alternative electrostatic methods on the dynamics in crystalline
987 + materials.  For short- and intermediate-time dynamics, we are
988 + computing the velocity autocorrelation function, and for long-time
989 + and large length-scale collective motions, we are looking at the
990 + low-frequency portion of the power spectrum.
991 +
992 + \begin{figure}
993 + \centering
994 + \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
995 + \caption{Velocity autocorrelation functions of NaCl crystals at
996 + 1000 K using {\sc spme}, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
997 + sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
998 + the first minimum.  The times to first collision are nearly identical,
999 + but differences can be seen in the peaks and troughs, where the
1000 + undamped and weakly damped methods are stiffer than the moderately
1001 + damped and {\sc spme} methods.}
1002 + \label{fig:vCorrPlot}
1003 + \end{figure}
1004 +
1005 + The short-time decay of the velocity autocorrelation function through
1006 + the first collision are nearly identical in figure
1007 + \ref{fig:vCorrPlot}, but the peaks and troughs of the functions show
1008 + how the methods differ.  The undamped {\sc sf} method has deeper
1009 + troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher peaks than
1010 + any of the other methods.  As the damping parameter ($\alpha$) is
1011 + increased, these peaks are smoothed out, and the {\sc sf} method
1012 + approaches the {\sc spme} results.  With $\alpha$ values of 0.2 \AA$^{-1}$,
1013 + the {\sc sf} and {\sc sp} functions are nearly identical and track the
1014 + {\sc spme} features quite well.  This is not surprising because the {\sc sf}
1015 + and {\sc sp} potentials become nearly identical with increased
1016 + damping.  However, this appears to indicate that once damping is
1017 + utilized, the details of the form of the potential (and forces)
1018 + constructed out of the damped electrostatic interaction are less
1019 + important.
1020 +
1021 + \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1022 +
1023 + To evaluate how the differences between the methods affect the
1024 + collective long-time motion, we computed power spectra from long-time
1025 + traces of the velocity autocorrelation function. The power spectra for
1026 + the best-performing alternative methods are shown in
1027 + fig. \ref{fig:methodPS}.  Apodization of the correlation functions via
1028 + a cubic switching function between 40 and 50 ps was used to reduce the
1029 + ringing resulting from data truncation.  This procedure had no
1030 + noticeable effect on peak location or magnitude.
1031 +
1032 + \begin{figure}
1033 + \centering
1034 + \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1035 + \caption{Power spectra obtained from the velocity auto-correlation
1036 + functions of NaCl crystals at 1000 K while using {\sc spme}, {\sc sf}
1037 + ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  The inset
1038 + shows the frequency region below 100 cm$^{-1}$ to highlight where the
1039 + spectra differ.}
1040 + \label{fig:methodPS}
1041 + \end{figure}
1042 +
1043 + While the high frequency regions of the power spectra for the
1044 + alternative methods are quantitatively identical with Ewald spectrum,
1045 + the low frequency region shows how the summation methods differ.
1046 + Considering the low-frequency inset (expanded in the upper frame of
1047 + figure \ref{fig:dampInc}), at frequencies below 100 cm$^{-1}$, the
1048 + correlated motions are blue-shifted when using undamped or weakly
1049 + damped {\sc sf}.  When using moderate damping ($\alpha = 0.2$
1050 + \AA$^{-1}$) both the {\sc sf} and {\sc sp} methods give nearly identical
1051 + correlated motion to the Ewald method (which has a convergence
1052 + parameter of 0.3119 \AA$^{-1}$).  This weakening of the electrostatic
1053 + interaction with increased damping explains why the long-ranged
1054 + correlated motions are at lower frequencies for the moderately damped
1055 + methods than for undamped or weakly damped methods.
1056 +
1057 + To isolate the role of the damping constant, we have computed the
1058 + spectra for a single method ({\sc sf}) with a range of damping
1059 + constants and compared this with the {\sc spme} spectrum.
1060 + Fig. \ref{fig:dampInc} shows more clearly that increasing the
1061 + electrostatic damping red-shifts the lowest frequency phonon modes.
1062 + However, even without any electrostatic damping, the {\sc sf} method
1063 + has at most a 10 cm$^{-1}$ error in the lowest frequency phonon mode.
1064 + Without the {\sc sf} modifications, an undamped (pure cutoff) method
1065 + would predict the lowest frequency peak near 325 cm$^{-1}$.  {\it
1066 + Most} of the collective behavior in the crystal is accurately captured
1067 + using the {\sc sf} method.  Quantitative agreement with Ewald can be
1068 + obtained using moderate damping in addition to the shifting at the
1069 + cutoff distance.
1070 +
1071 + \begin{figure}
1072 + \centering
1073 + \includegraphics[width = \linewidth]{./increasedDamping.pdf}
1074 + \caption{Effect of damping on the two lowest-frequency phonon modes in
1075 + the NaCl crystal at 1000~K.  The undamped shifted force ({\sc sf})
1076 + method is off by less than 10 cm$^{-1}$, and increasing the
1077 + electrostatic damping to 0.25 \AA$^{-1}$ gives quantitative agreement
1078 + with the power spectrum obtained using the Ewald sum.  Overdamping can
1079 + result in underestimates of frequencies of the long-wavelength
1080 + motions.}
1081 + \label{fig:dampInc}
1082 + \end{figure}
1083 +
1084   \section{Conclusions}
1085  
1086 + This investigation of pairwise electrostatic summation techniques
1087 + shows that there are viable and computationally efficient alternatives
1088 + to the Ewald summation.  These methods are derived from the damped and
1089 + cutoff-neutralized Coulombic sum originally proposed by Wolf
1090 + \textit{et al.}\cite{Wolf99} In particular, the {\sc sf}
1091 + method, reformulated above as eqs. (\ref{eq:DSFPot}) and
1092 + (\ref{eq:DSFForces}), shows a remarkable ability to reproduce the
1093 + energetic and dynamic characteristics exhibited by simulations
1094 + employing lattice summation techniques.  The cumulative energy
1095 + difference results showed the undamped {\sc sf} and moderately damped
1096 + {\sc sp} methods produced results nearly identical to {\sc spme}.  Similarly
1097 + for the dynamic features, the undamped or moderately damped {\sc sf}
1098 + and moderately damped {\sc sp} methods produce force and torque vector
1099 + magnitude and directions very similar to the expected values.  These
1100 + results translate into long-time dynamic behavior equivalent to that
1101 + produced in simulations using {\sc spme}.
1102 +
1103 + As in all purely-pairwise cutoff methods, these methods are expected
1104 + to scale approximately {\it linearly} with system size, and they are
1105 + easily parallelizable.  This should result in substantial reductions
1106 + in the computational cost of performing large simulations.
1107 +
1108 + Aside from the computational cost benefit, these techniques have
1109 + applicability in situations where the use of the Ewald sum can prove
1110 + problematic.  Of greatest interest is their potential use in
1111 + interfacial systems, where the unmodified lattice sum techniques
1112 + artificially accentuate the periodicity of the system in an
1113 + undesirable manner.  There have been alterations to the standard Ewald
1114 + techniques, via corrections and reformulations, to compensate for
1115 + these systems; but the pairwise techniques discussed here require no
1116 + modifications, making them natural tools to tackle these problems.
1117 + Additionally, this transferability gives them benefits over other
1118 + pairwise methods, like reaction field, because estimations of physical
1119 + properties (e.g. the dielectric constant) are unnecessary.
1120 +
1121 + If a researcher is using Monte Carlo simulations of large chemical
1122 + systems containing point charges, most structural features will be
1123 + accurately captured using the undamped {\sc sf} method or the {\sc sp}
1124 + method with an electrostatic damping of 0.2 \AA$^{-1}$.  These methods
1125 + would also be appropriate for molecular dynamics simulations where the
1126 + data of interest is either structural or short-time dynamical
1127 + quantities.  For long-time dynamics and collective motions, the safest
1128 + pairwise method we have evaluated is the {\sc sf} method with an
1129 + electrostatic damping between 0.2 and 0.25
1130 + \AA$^{-1}$.
1131 +
1132 + We are not suggesting that there is any flaw with the Ewald sum; in
1133 + fact, it is the standard by which these simple pairwise sums have been
1134 + judged.  However, these results do suggest that in the typical
1135 + simulations performed today, the Ewald summation may no longer be
1136 + required to obtain the level of accuracy most researchers have come to
1137 + expect.
1138 +
1139   \section{Acknowledgments}
1140 + Support for this project was provided by the National Science
1141 + Foundation under grant CHE-0134881.  The authors would like to thank
1142 + Steve Corcelli and Ed Maginn for helpful discussions and comments.
1143  
1144   \newpage
1145  
1146 < \bibliographystyle{achemso}
1146 > \bibliographystyle{jcp2}
1147   \bibliography{electrostaticMethods}
1148  
1149  

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