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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}
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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 necessary? \\
29 > Pairwise alternatives to the accepted standard for \\
30 > long-range electrostatics}
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 + \nobibliography{}
44   \begin{abstract}
45 + We investigate pairwise electrostatic interaction methods and show
46 + that there are viable and computationally efficient $(\mathscr{O}(N))$
47 + alternatives to the Ewald summation for typical modern molecular
48 + simulations.  These methods are extended from the damped and
49 + cutoff-neutralized Coulombic sum originally proposed by Wolf
50 + \textit{et al.}  One of these, the damped shifted force method, shows
51 + a remarkable ability to reproduce the energetic and dynamic
52 + characteristics exhibited by simulations employing lattice summation
53 + techniques.  Comparisons were performed with this and other pairwise
54 + methods against the smooth particle mesh Ewald ({\sc spme}) summation to see
55 + how well they reproduce the energetics and dynamics of a variety of
56 + simulation types.
57   \end{abstract}
58  
59 + \newpage
60 +
61   %\narrowtext
62  
63 < %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
63 > %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
64   %                              BODY OF TEXT
65 < %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
65 > %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
66  
67   \section{Introduction}
68  
69 < 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:
70 < \begin{enumerate}
71 < \item Liquid Water
72 < \item Crystalline Water (Ice I$_\textrm{c}$)
73 < \item NaCl Crystal
74 < \item NaCl Melt
75 < \item Low Ionic Strength Solution of NaCl in Water
76 < \item High Ionic Strength Solution of NaCl in Water
77 < \item 6 \AA\  Radius Sphere of Argon in Water
78 < \end{enumerate}
79 < Additional discussion on the results from the individual systems was also performed to identify limitations of the considered methods in specific systems.
69 > In molecular simulations, proper accumulation of the electrostatic
70 > interactions is essential and is one of the most
71 > computationally-demanding tasks.  The common molecular mechanics force
72 > fields represent atomic sites with full or partial charges protected
73 > by Lennard-Jones (short range) interactions.  This means that nearly
74 > every pair interaction involves a calculation of charge-charge forces.
75 > Coupled with relatively long-ranged $r^{-1}$ decay, the monopole
76 > interactions quickly become the most expensive part of molecular
77 > simulations.  Historically, the electrostatic pair interaction would
78 > not have decayed appreciably within the typical box lengths that could
79 > be feasibly simulated.  In the larger systems that are more typical of
80 > modern simulations, large cutoffs should be used to incorporate
81 > electrostatics correctly.
82  
83 < \section{Methods}
83 > There have been many efforts to address the proper and practical
84 > handling of electrostatic interactions, and these have resulted in a
85 > variety of techniques.\cite{Roux99,Sagui99,Tobias01} These are
86 > typically classified as implicit methods (i.e., continuum dielectrics,
87 > static dipolar fields),\cite{Born20,Grossfield00} explicit methods
88 > (i.e., Ewald summations, interaction shifting or
89 > truncation),\cite{Ewald21,Steinbach94} or a mixture of the two (i.e.,
90 > reaction field type methods, fast multipole
91 > methods).\cite{Onsager36,Rokhlin85} The explicit or mixed methods are
92 > often preferred because they physically incorporate solvent molecules
93 > in the system of interest, but these methods are sometimes difficult
94 > to utilize because of their high computational cost.\cite{Roux99} In
95 > addition to the computational cost, there have been some questions
96 > regarding possible artifacts caused by the inherent periodicity of the
97 > explicit Ewald summation.\cite{Tobias01}
98  
99 < 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.  
99 > In this paper, we focus on a new set of shifted methods devised by
100 > Wolf {\it et al.},\cite{Wolf99} which we further extend.  These
101 > methods along with a few other mixed methods (i.e. reaction field) are
102 > compared with the smooth particle mesh Ewald
103 > sum,\cite{Onsager36,Essmann99} which is our reference method for
104 > handling long-range electrostatic interactions. The new methods for
105 > handling electrostatics have the potential to scale linearly with
106 > increasing system size since they involve only a simple modification
107 > to the direct pairwise sum.  They also lack the added periodicity of
108 > the Ewald sum, so they can be used for systems which are non-periodic
109 > or which have one- or two-dimensional periodicity.  Below, these
110 > methods are evaluated using a variety of model systems to establish
111 > their usability in molecular simulations.
112  
113 < 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}).
113 > \subsection{The Ewald Sum}
114 > The complete accumulation electrostatic interactions in a system with
115 > periodic boundary conditions (PBC) requires the consideration of the
116 > effect of all charges within a (cubic) simulation box as well as those
117 > in the periodic replicas,
118 > \begin{equation}
119 > 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],
120 > \label{eq:PBCSum}
121 > \end{equation}
122 > where the sum over $\mathbf{n}$ is a sum over all periodic box
123 > replicas with integer coordinates $\mathbf{n} = (l,m,n)$, and the
124 > prime indicates $i = j$ are neglected for $\mathbf{n} =
125 > 0$.\cite{deLeeuw80} Within the sum, $N$ is the number of electrostatic
126 > particles, $\mathbf{r}_{ij}$ is $\mathbf{r}_j - \mathbf{r}_i$, $L$ is
127 > the cell length, $\bm{\Omega}_{i,j}$ are the Euler angles for $i$ and
128 > $j$, and $\phi$ is the solution to Poisson's equation
129 > ($\phi(\mathbf{r}_{ij}) = q_i q_j |\mathbf{r}_{ij}|^{-1}$ for
130 > charge-charge interactions). In the case of monopole electrostatics,
131 > eq. (\ref{eq:PBCSum}) is conditionally convergent and is divergent for
132 > non-neutral systems.
133  
134 + The electrostatic summation problem was originally studied by Ewald
135 + for the case of an infinite crystal.\cite{Ewald21}. The approach he
136 + took was to convert this conditionally convergent sum into two
137 + absolutely convergent summations: a short-ranged real-space summation
138 + and a long-ranged reciprocal-space summation,
139 + \begin{equation}
140 + \begin{split}
141 + 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,
142 + \end{split}
143 + \label{eq:EwaldSum}
144 + \end{equation}
145 + where $\alpha$ is the damping or convergence parameter with units of
146 + \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and are equal to
147 + $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
148 + constant of the surrounding medium. The final two terms of
149 + eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
150 + for interacting with a surrounding dielectric.\cite{Allen87} This
151 + dipolar term was neglected in early applications in molecular
152 + simulations,\cite{Brush66,Woodcock71} until it was introduced by de
153 + Leeuw {\it et al.} to address situations where the unit cell has a
154 + dipole moment which is magnified through replication of the periodic
155 + images.\cite{deLeeuw80,Smith81} If this term is taken to be zero, the
156 + system is said to be using conducting (or ``tin-foil'') boundary
157 + conditions, $\epsilon_{\rm S} = \infty$. Figure
158 + \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
159 + time.  Initially, due to the small system sizes that could be
160 + simulated feasibly, the entire simulation box was replicated to
161 + convergence.  In more modern simulations, the systems have grown large
162 + enough that a real-space cutoff could potentially give convergent
163 + behavior.  Indeed, it has been observed that with the choice of a
164 + small $\alpha$, the reciprocal-space portion of the Ewald sum can be
165 + rapidly convergent and small relative to the real-space
166 + portion.\cite{Karasawa89,Kolafa92}
167 +
168   \begin{figure}
169   \centering
170 < \includegraphics[width=3.25in]{./slice.pdf}
171 < \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.}
172 < \label{argonSlice}
170 > \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
171 > \caption{The change in the application of the Ewald sum with
172 > increasing computational power.  Initially, only small systems could
173 > be studied, and the Ewald sum replicated the simulation box to
174 > convergence.  Now, much larger systems of charges are investigated
175 > with fixed-distance cutoffs.}
176 > \label{fig:ewaldTime}
177   \end{figure}
178  
179 < 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.
179 > The original Ewald summation is an $\mathscr{O}(N^2)$ algorithm.  The
180 > convergence parameter $(\alpha)$ plays an important role in balancing
181 > the computational cost between the direct and reciprocal-space
182 > portions of the summation.  The choice of this value allows one to
183 > select whether the real-space or reciprocal space portion of the
184 > summation is an $\mathscr{O}(N^2)$ calculation (with the other being
185 > $\mathscr{O}(N)$).\cite{Sagui99} With the appropriate choice of
186 > $\alpha$ and thoughtful algorithm development, this cost can be
187 > reduced to $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route
188 > taken to reduce the cost of the Ewald summation even further is to set
189 > $\alpha$ such that the real-space interactions decay rapidly, allowing
190 > for a short spherical cutoff. Then the reciprocal space summation is
191 > optimized.  These optimizations usually involve utilization of the
192 > fast Fourier transform (FFT),\cite{Hockney81} leading to the
193 > particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
194 > methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
195 > methods, the cost of the reciprocal-space portion of the Ewald
196 > summation is reduced from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N
197 > \log N)$.
198  
199 < \section{Results and Discussion}
199 > These developments and optimizations have made the use of the Ewald
200 > summation routine in simulations with periodic boundary
201 > conditions. However, in certain systems, such as vapor-liquid
202 > interfaces and membranes, the intrinsic three-dimensional periodicity
203 > can prove problematic.  The Ewald sum has been reformulated to handle
204 > 2D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the
205 > new methods are computationally expensive.\cite{Spohr97,Yeh99}
206 > Inclusion of a correction term in the Ewald summation is a possible
207 > direction for handling 2D systems while still enabling the use of the
208 > modern optimizations.\cite{Yeh99}
209  
210 < \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
232 > (Eq. \ref{eq:WolfPot}) includes image-charges subtracted out through
233 > placement on the cutoff sphere and a distance-dependent damping
234 > function (identical to that seen in the real-space portion of the
235 > Ewald sum) to aid convergence
236 > \begin{equation}
237 > V_{\textrm{Wolf}}(r_{ij})= \frac{q_i q_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}}-\lim_{r_{ij}\rightarrow R_\textrm{c}}\left\{\frac{q_iq_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}}\right\}.
238 > \label{eq:WolfPot}
239 > \end{equation}
240 > Eq. (\ref{eq:WolfPot}) is essentially the common form of a shifted
241 > potential.  However, neutralizing the charge contained within each
242 > cutoff sphere requires the placement of a self-image charge on the
243 > surface of the cutoff sphere.  This additional self-term in the total
244 > potential enabled Wolf {\it et al.}  to obtain excellent estimates of
245 > Madelung energies for many crystals.
246  
247 < 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}.  
247 > In order to use their charge-neutralized potential in molecular
248 > dynamics simulations, Wolf \textit{et al.} suggested taking the
249 > derivative of this potential prior to evaluation of the limit.  This
250 > procedure gives an expression for the forces,
251 > \begin{equation}
252 > F_{\textrm{Wolf}}(r_{ij}) = q_i q_j\left\{\left[\frac{\textrm{erfc}\left(\alpha r_{ij}\right)}{r^2_{ij}}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r_{ij}^2\right)}}{r_{ij}}\right]-\left[\frac{\textrm{erfc}\left(\alpha R_{\textrm{c}}\right)}{R_{\textrm{c}}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2R_{\textrm{c}}^2\right)}}{R_{\textrm{c}}}\right]\right\},
253 > \label{eq:WolfForces}
254 > \end{equation}
255 > that incorporates both image charges and damping of the electrostatic
256 > interaction.
257  
258 < \begin{figure}
259 < \centering
260 < \includegraphics[width=3.25in]{./delEplot.pdf}
261 < \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.}
262 < \label{delE}
263 < \end{figure}
258 > More recently, Zahn \textit{et al.} investigated these potential and
259 > force expressions for use in simulations involving water.\cite{Zahn02}
260 > In their work, they pointed out that the forces and derivative of
261 > the potential are not commensurate.  Attempts to use both
262 > eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
263 > to poor energy conservation.  They correctly observed that taking the
264 > limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
265 > derivatives gives forces for a different potential energy function
266 > than the one shown in eq. (\ref{eq:WolfPot}).
267  
268 < 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.
268 > Zahn \textit{et al.} introduced a modified form of this summation
269 > method as a way to use the technique in Molecular Dynamics
270 > simulations.  They proposed a new damped Coulomb potential,
271 > \begin{equation}
272 > V_{\textrm{Zahn}}(r_{ij}) = q_iq_j\left\{\frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}}-\left[\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right]\left(r_{ij}-R_\mathrm{c}\right)\right\},
273 > \label{eq:ZahnPot}
274 > \end{equation}
275 > and showed that this potential does fairly well at capturing the
276 > structural and dynamic properties of water compared the same
277 > properties obtained using the Ewald sum.
278  
279 < \subsection{Force Magnitude Comparison}
279 > \subsection{Simple Forms for Pairwise Electrostatics}
280  
281 < 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.
281 > The potentials proposed by Wolf \textit{et al.} and Zahn \textit{et
282 > al.} are constructed using two different (and separable) computational
283 > tricks: \begin{enumerate}
284 > \item shifting through the use of image charges, and
285 > \item damping the electrostatic interaction.
286 > \end{enumerate}  Wolf \textit{et al.} treated the
287 > development of their summation method as a progressive application of
288 > these techniques,\cite{Wolf99} while Zahn \textit{et al.} founded
289 > their damped Coulomb modification (Eq. (\ref{eq:ZahnPot})) on the
290 > post-limit forces (Eq. (\ref{eq:WolfForces})) which were derived using
291 > both techniques.  It is possible, however, to separate these
292 > tricks and study their effects independently.
293 >
294 > Starting with the original observation that the effective range of the
295 > electrostatic interaction in condensed phases is considerably less
296 > than $r^{-1}$, either the cutoff sphere neutralization or the
297 > distance-dependent damping technique could be used as a foundation for
298 > a new pairwise summation method.  Wolf \textit{et al.} made the
299 > observation that charge neutralization within the cutoff sphere plays
300 > a significant role in energy convergence; therefore we will begin our
301 > analysis with the various shifted forms that maintain this charge
302 > neutralization.  We can evaluate the methods of Wolf
303 > \textit{et al.}  and Zahn \textit{et al.} by considering the standard
304 > shifted potential,
305 > \begin{equation}
306 > V_\textrm{SP}(r) =      \begin{cases}
307 > v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
308 > R_\textrm{c}  
309 > \end{cases},
310 > \label{eq:shiftingPotForm}
311 > \end{equation}
312 > and shifted force,
313 > \begin{equation}
314 > V_\textrm{SF}(r) =      \begin{cases}
315 > v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
316 > &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
317 >                                                \end{cases},
318 > \label{eq:shiftingForm}
319 > \end{equation}
320 > functions where $v(r)$ is the unshifted form of the potential, and
321 > $v_c$ is $v(R_\textrm{c})$.  The Shifted Force ({\sc sf}) form ensures
322 > that both the potential and the forces goes to zero at the cutoff
323 > radius, while the Shifted Potential ({\sc sp}) form only ensures the
324 > potential is smooth at the cutoff radius
325 > ($R_\textrm{c}$).\cite{Allen87}
326  
327 + The forces associated with the shifted potential are simply the forces
328 + of the unshifted potential itself (when inside the cutoff sphere),
329 + \begin{equation}
330 + F_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
331 + \end{equation}
332 + and are zero outside.  Inside the cutoff sphere, the forces associated
333 + with the shifted force form can be written,
334 + \begin{equation}
335 + F_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
336 + v(r)}{dr} \right)_{r=R_\textrm{c}}.
337 + \end{equation}
338 +
339 + If the potential, $v(r)$, is taken to be the normal Coulomb potential,
340 + \begin{equation}
341 + v(r) = \frac{q_i q_j}{r},
342 + \label{eq:Coulomb}
343 + \end{equation}
344 + then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
345 + al.}'s undamped prescription:
346 + \begin{equation}
347 + V_\textrm{SP}(r) =
348 + q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
349 + r\leqslant R_\textrm{c},
350 + \label{eq:SPPot}
351 + \end{equation}
352 + with associated forces,
353 + \begin{equation}
354 + F_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
355 + \label{eq:SPForces}
356 + \end{equation}
357 + These forces are identical to the forces of the standard Coulomb
358 + interaction, and cutting these off at $R_c$ was addressed by Wolf
359 + \textit{et al.} as undesirable.  They pointed out that the effect of
360 + the image charges is neglected in the forces when this form is
361 + used,\cite{Wolf99} thereby eliminating any benefit from the method in
362 + molecular dynamics.  Additionally, there is a discontinuity in the
363 + forces at the cutoff radius which results in energy drift during MD
364 + simulations.
365 +
366 + The shifted force ({\sc sf}) form using the normal Coulomb potential
367 + will give,
368 + \begin{equation}
369 + 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}.
370 + \label{eq:SFPot}
371 + \end{equation}
372 + with associated forces,
373 + \begin{equation}
374 + F_\textrm{SF}(r) =  q_iq_j\left(\frac{1}{r^2}-\frac{1}{R_\textrm{c}^2}\right) \quad r\leqslant R_\textrm{c}.
375 + \label{eq:SFForces}
376 + \end{equation}
377 + This formulation has the benefits that there are no discontinuities at
378 + the cutoff radius, while the neutralizing image charges are present in
379 + both the energy and force expressions.  It would be simple to add the
380 + self-neutralizing term back when computing the total energy of the
381 + system, thereby maintaining the agreement with the Madelung energies.
382 + A side effect of this treatment is the alteration in the shape of the
383 + potential that comes from the derivative term.  Thus, a degree of
384 + clarity about agreement with the empirical potential is lost in order
385 + to gain functionality in dynamics simulations.
386 +
387 + Wolf \textit{et al.} originally discussed the energetics of the
388 + shifted Coulomb potential (Eq. \ref{eq:SPPot}) and found that it was
389 + insufficient for accurate determination of the energy with reasonable
390 + cutoff distances.  The calculated Madelung energies fluctuated around
391 + the expected value as the cutoff radius was increased, but the
392 + oscillations converged toward the correct value.\cite{Wolf99} A
393 + damping function was incorporated to accelerate the convergence; and
394 + though alternative forms for the damping function could be
395 + used,\cite{Jones56,Heyes81} the complimentary error function was
396 + chosen to mirror the effective screening used in the Ewald summation.
397 + Incorporating this error function damping into the simple Coulomb
398 + potential,
399 + \begin{equation}
400 + v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
401 + \label{eq:dampCoulomb}
402 + \end{equation}
403 + the shifted potential (eq. (\ref{eq:SPPot})) becomes
404 + \begin{equation}
405 + V_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r}-\frac{\textrm{erfc}\left(\alpha R_\textrm{c}\right)}{R_\textrm{c}}\right) \quad r\leqslant R_\textrm{c},
406 + \label{eq:DSPPot}
407 + \end{equation}
408 + with associated forces,
409 + \begin{equation}
410 + F_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \quad r\leqslant R_\textrm{c}.
411 + \label{eq:DSPForces}
412 + \end{equation}
413 + Again, this damped shifted potential suffers from a
414 + force-discontinuity at the cutoff radius, and the image charges play
415 + no role in the forces.  To remedy these concerns, one may derive a
416 + {\sc sf} variant by including the derivative term in
417 + eq. (\ref{eq:shiftingForm}),
418 + \begin{equation}
419 + \begin{split}
420 + V_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\frac{\mathrm{erfc}\left(\alpha r\right)}{r}-\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}} \\ &\left.+\left(\frac{\mathrm{erfc}\left(\alpha R_\mathrm{c}\right)}{R_\mathrm{c}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp\left(-\alpha^2R_\mathrm{c}^2\right)}{R_\mathrm{c}}\right)\left(r-R_\mathrm{c}\right)\ \right] \quad r\leqslant R_\textrm{c}.
421 + \label{eq:DSFPot}
422 + \end{split}
423 + \end{equation}
424 + The derivative of the above potential will lead to the following forces,
425 + \begin{equation}
426 + \begin{split}
427 + F_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2r^2\right)}}{r}\right) \\ &\left.-\left(\frac{\textrm{erfc}\left(\alpha R_{\textrm{c}}\right)}{R_{\textrm{c}}^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{\left(-\alpha^2R_{\textrm{c}}^2\right)}}{R_{\textrm{c}}}\right)\right] \quad r\leqslant R_\textrm{c}.
428 + \label{eq:DSFForces}
429 + \end{split}
430 + \end{equation}
431 + If the damping parameter $(\alpha)$ is set to zero, the undamped case,
432 + eqs. (\ref{eq:SPPot} through \ref{eq:SFForces}) are correctly
433 + recovered from eqs. (\ref{eq:DSPPot} through \ref{eq:DSFForces}).
434 +
435 + This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
436 + derived by Zahn \textit{et al.}; however, there are two important
437 + differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from
438 + eq. (\ref{eq:shiftingForm}) is equal to eq. (\ref{eq:dampCoulomb})
439 + with $r$ replaced by $R_\textrm{c}$.  This term is {\it not} present
440 + in the Zahn potential, resulting in a potential discontinuity as
441 + particles cross $R_\textrm{c}$.  Second, the sign of the derivative
442 + portion is different.  The missing $v_\textrm{c}$ term would not
443 + affect molecular dynamics simulations (although the computed energy
444 + would be expected to have sudden jumps as particle distances crossed
445 + $R_c$).  The sign problem is a potential source of errors, however.
446 + In fact, it introduces a discontinuity in the forces at the cutoff,
447 + because the force function is shifted in the wrong direction and
448 + doesn't cross zero at $R_\textrm{c}$.
449 +
450 + Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
451 + electrostatic summation method in which the potential and forces are
452 + continuous at the cutoff radius and which incorporates the damping
453 + function proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of
454 + this paper, we will evaluate exactly how good these methods ({\sc sp},
455 + {\sc sf}, damping) are at reproducing the correct electrostatic
456 + summation performed by the Ewald sum.
457 +
458 + \subsection{Other alternatives}
459 + In addition to the methods described above, we considered some other
460 + techniques that are commonly used in molecular simulations.  The
461 + simplest of these is group-based cutoffs.  Though of little use for
462 + charged molecules, collecting atoms into neutral groups takes
463 + advantage of the observation that the electrostatic interactions decay
464 + faster than those for monopolar pairs.\cite{Steinbach94} When
465 + considering these molecules as neutral groups, the relative
466 + orientations of the molecules control the strength of the interactions
467 + at the cutoff radius.  Consequently, as these molecular particles move
468 + through $R_\textrm{c}$, the energy will drift upward due to the
469 + anisotropy of the net molecular dipole interactions.\cite{Rahman71} To
470 + maintain good energy conservation, both the potential and derivative
471 + need to be smoothly switched to zero at $R_\textrm{c}$.\cite{Adams79}
472 + This is accomplished using a standard switching function.  If a smooth
473 + second derivative is desired, a fifth (or higher) order polynomial can
474 + be used.\cite{Andrea83}
475 +
476 + Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
477 + and to incorporate the effects of the surroundings, a method like
478 + Reaction Field ({\sc rf}) can be used.  The original theory for {\sc
479 + rf} was originally developed by Onsager,\cite{Onsager36} and it was
480 + applied in simulations for the study of water by Barker and
481 + Watts.\cite{Barker73} In modern simulation codes, {\sc rf} is simply
482 + an extension of the group-based cutoff method where the net dipole
483 + within the cutoff sphere polarizes an external dielectric, which
484 + reacts back on the central dipole.  The same switching function
485 + considerations for group-based cutoffs need to made for {\sc rf}, with
486 + the additional pre-specification of a dielectric constant.
487 +
488 + \section{Methods}
489 +
490 + In classical molecular mechanics simulations, there are two primary
491 + techniques utilized to obtain information about the system of
492 + interest: Monte Carlo (MC) and Molecular Dynamics (MD).  Both of these
493 + techniques utilize pairwise summations of interactions between
494 + particle sites, but they use these summations in different ways.
495 +
496 + In MC, the potential energy difference between configurations dictates
497 + the progression of MC sampling.  Going back to the origins of this
498 + method, the acceptance criterion for the canonical ensemble laid out
499 + by Metropolis \textit{et al.} states that a subsequent configuration
500 + is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta E/kT)$, where
501 + $\xi$ is a random number between 0 and 1.\cite{Metropolis53}
502 + Maintaining the correct $\Delta E$ when using an alternate method for
503 + handling the long-range electrostatics will ensure proper sampling
504 + from the ensemble.
505 +
506 + In MD, the derivative of the potential governs how the system will
507 + progress in time.  Consequently, the force and torque vectors on each
508 + body in the system dictate how the system evolves.  If the magnitude
509 + and direction of these vectors are similar when using alternate
510 + electrostatic summation techniques, the dynamics in the short term
511 + will be indistinguishable.  Because error in MD calculations is
512 + cumulative, one should expect greater deviation at longer times,
513 + although methods which have large differences in the force and torque
514 + vectors will diverge from each other more rapidly.
515 +
516 + \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
517 +
518 + The pairwise summation techniques (outlined in section
519 + \ref{sec:ESMethods}) were evaluated for use in MC simulations by
520 + studying the energy differences between conformations.  We took the
521 + {\sc spme}-computed energy difference between two conformations to be the
522 + correct behavior. An ideal performance by an alternative method would
523 + reproduce these energy differences exactly (even if the absolute
524 + energies calculated by the methods are different).  Since none of the
525 + methods provide exact energy differences, we used linear least squares
526 + regressions of energy gap data to evaluate how closely the methods
527 + mimicked the Ewald energy gaps.  Unitary results for both the
528 + correlation (slope) and correlation coefficient for these regressions
529 + indicate perfect agreement between the alternative method and {\sc spme}.
530 + Sample correlation plots for two alternate methods are shown in
531 + Fig. \ref{fig:linearFit}.
532 +
533 + \begin{figure}
534 + \centering
535 + \includegraphics[width = \linewidth]{./dualLinear.pdf}
536 + \caption{Example least squares regressions of the configuration energy
537 + differences for SPC/E water systems. The upper plot shows a data set
538 + with a poor correlation coefficient ($R^2$), while the lower plot
539 + shows a data set with a good correlation coefficient.}
540 + \label{fig:linearFit}
541 + \end{figure}
542 +
543 + Each system type (detailed in section \ref{sec:RepSims}) was
544 + represented using 500 independent configurations.  Additionally, we
545 + used seven different system types, so each of the alternative
546 + (non-Ewald) electrostatic summation methods was evaluated using
547 + 873,250 configurational energy differences.
548 +
549 + Results and discussion for the individual analysis of each of the
550 + system types appear in the supporting information, while the
551 + cumulative results over all the investigated systems appears below in
552 + section \ref{sec:EnergyResults}.
553 +
554 + \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
555 + We evaluated the pairwise methods (outlined in section
556 + \ref{sec:ESMethods}) for use in MD simulations by
557 + comparing the force and torque vectors with those obtained using the
558 + reference Ewald summation ({\sc spme}).  Both the magnitude and the
559 + direction of these vectors on each of the bodies in the system were
560 + analyzed.  For the magnitude of these vectors, linear least squares
561 + regression analyses were performed as described previously for
562 + comparing $\Delta E$ values.  Instead of a single energy difference
563 + between two system configurations, we compared the magnitudes of the
564 + forces (and torques) on each molecule in each configuration.  For a
565 + system of 1000 water molecules and 40 ions, there are 1040 force
566 + vectors and 1000 torque vectors.  With 500 configurations, this
567 + results in 520,000 force and 500,000 torque vector comparisons.
568 + Additionally, data from seven different system types was aggregated
569 + before the comparison was made.
570 +
571 + The {\it directionality} of the force and torque vectors was
572 + investigated through measurement of the angle ($\theta$) formed
573 + between those computed from the particular method and those from {\sc spme},
574 + \begin{equation}
575 + \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
576 + \end{equation}
577 + where $\hat{F}_\textrm{M}$ is the unit vector pointing along the force
578 + vector computed using method M.  Each of these $\theta$ values was
579 + accumulated in a distribution function and weighted by the area on the
580 + unit sphere.  Since this distribution is a measure of angular error
581 + between two different electrostatic summation methods, there is no
582 + {\it a priori} reason for the profile to adhere to any specific
583 + shape. Thus, gaussian fits were used to measure the width of the
584 + resulting distributions.
585 + %
586 + %\begin{figure}
587 + %\centering
588 + %\includegraphics[width = \linewidth]{./gaussFit.pdf}
589 + %\caption{Sample fit of the angular distribution of the force vectors
590 + %accumulated using all of the studied systems.  Gaussian fits were used
591 + %to obtain values for the variance in force and torque vectors.}
592 + %\label{fig:gaussian}
593 + %\end{figure}
594 + %
595 + %Figure \ref{fig:gaussian} shows an example distribution with applied
596 + %non-linear fits.  The solid line is a Gaussian profile, while the
597 + %dotted line is a Voigt profile, a convolution of a Gaussian and a
598 + %Lorentzian.  
599 + %Since this distribution is a measure of angular error between two
600 + %different electrostatic summation methods, there is no {\it a priori}
601 + %reason for the profile to adhere to any specific shape.
602 + %Gaussian fits was used to compare all the tested methods.  
603 + The variance ($\sigma^2$) was extracted from each of these fits and
604 + was used to compare distribution widths.  Values of $\sigma^2$ near
605 + zero indicate vector directions indistinguishable from those
606 + calculated when using the reference method ({\sc spme}).
607 +
608 + \subsection{Short-time Dynamics}
609 +
610 + The effects of the alternative electrostatic summation methods on the
611 + short-time dynamics of charged systems were evaluated by considering a
612 + NaCl crystal at a temperature of 1000 K.  A subset of the best
613 + performing pairwise methods was used in this comparison.  The NaCl
614 + crystal was chosen to avoid possible complications from the treatment
615 + of orientational motion in molecular systems.  All systems were
616 + started with the same initial positions and velocities.  Simulations
617 + were performed under the microcanonical ensemble, and velocity
618 + autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
619 + of the trajectories,
620 + \begin{equation}
621 + C_v(t) = \frac{\langle v(0)\cdot v(t)\rangle}{\langle v^2\rangle}.
622 + \label{eq:vCorr}
623 + \end{equation}
624 + Velocity autocorrelation functions require detailed short time data,
625 + thus velocity information was saved every 2 fs over 10 ps
626 + trajectories. Because the NaCl crystal is composed of two different
627 + atom types, the average of the two resulting velocity autocorrelation
628 + functions was used for comparisons.
629 +
630 + \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
631 +
632 + The effects of the same subset of alternative electrostatic methods on
633 + the {\it long-time} dynamics of charged systems were evaluated using
634 + the same model system (NaCl crystals at 1000K).  The power spectrum
635 + ($I(\omega)$) was obtained via Fourier transform of the velocity
636 + autocorrelation function, \begin{equation} I(\omega) =
637 + \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
638 + \label{eq:powerSpec}
639 + \end{equation}
640 + where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
641 + NaCl crystal is composed of two different atom types, the average of
642 + the two resulting power spectra was used for comparisons. Simulations
643 + were performed under the microcanonical ensemble, and velocity
644 + information was saved every 5 fs over 100 ps trajectories.
645 +
646 + \subsection{Representative Simulations}\label{sec:RepSims}
647 + A variety of representative simulations were analyzed to determine the
648 + relative effectiveness of the pairwise summation techniques in
649 + reproducing the energetics and dynamics exhibited by {\sc spme}.  We wanted
650 + to span the space of modern simulations (i.e. from liquids of neutral
651 + molecules to ionic crystals), so the systems studied were:
652 + \begin{enumerate}
653 + \item liquid water (SPC/E),\cite{Berendsen87}
654 + \item crystalline water (Ice I$_\textrm{c}$ crystals of SPC/E),
655 + \item NaCl crystals,
656 + \item NaCl melts,
657 + \item a low ionic strength solution of NaCl in water (0.11 M),
658 + \item a high ionic strength solution of NaCl in water (1.1 M), and
659 + \item a 6 \AA\  radius sphere of Argon in water.
660 + \end{enumerate}
661 + By utilizing the pairwise techniques (outlined in section
662 + \ref{sec:ESMethods}) in systems composed entirely of neutral groups,
663 + charged particles, and mixtures of the two, we hope to discern under
664 + which conditions it will be possible to use one of the alternative
665 + summation methodologies instead of the Ewald sum.
666 +
667 + For the solid and liquid water configurations, configurations were
668 + taken at regular intervals from high temperature trajectories of 1000
669 + SPC/E water molecules.  Each configuration was equilibrated
670 + independently at a lower temperature (300~K for the liquid, 200~K for
671 + the crystal).  The solid and liquid NaCl systems consisted of 500
672 + $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
673 + these systems were selected and equilibrated in the same manner as the
674 + water systems.  The equilibrated temperatures were 1000~K for the NaCl
675 + crystal and 7000~K for the liquid. The ionic solutions were made by
676 + solvating 4 (or 40) ions in a periodic box containing 1000 SPC/E water
677 + molecules.  Ion and water positions were then randomly swapped, and
678 + the resulting configurations were again equilibrated individually.
679 + Finally, for the Argon / Water ``charge void'' systems, the identities
680 + of all the SPC/E waters within 6 \AA\ of the center of the
681 + equilibrated water configurations were converted to argon.
682 + %(Fig. \ref{fig:argonSlice}).
683 +
684 + These procedures guaranteed us a set of representative configurations
685 + from chemically-relevant systems sampled from appropriate
686 + ensembles. Force field parameters for the ions and Argon were taken
687 + from the force field utilized by {\sc oopse}.\cite{Meineke05}
688 +
689 + %\begin{figure}
690 + %\centering
691 + %\includegraphics[width = \linewidth]{./slice.pdf}
692 + %\caption{A slice from the center of a water box used in a charge void
693 + %simulation.  The darkened region represents the boundary sphere within
694 + %which the water molecules were converted to argon atoms.}
695 + %\label{fig:argonSlice}
696 + %\end{figure}
697 +
698 + \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
699 + We compared the following alternative summation methods with results
700 + from the reference method ({\sc spme}):
701 + \begin{itemize}
702 + \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
703 + and 0.3 \AA$^{-1}$,
704 + \item {\sc sf} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
705 + and 0.3 \AA$^{-1}$,
706 + \item reaction field with an infinite dielectric constant, and
707 + \item an unmodified cutoff.
708 + \end{itemize}
709 + Group-based cutoffs with a fifth-order polynomial switching function
710 + were utilized for the reaction field simulations.  Additionally, we
711 + investigated the use of these cutoffs with the {\sc sp}, {\sc sf}, and pure
712 + cutoff.  The {\sc spme} electrostatics were performed using the {\sc tinker}
713 + implementation of {\sc spme},\cite{Ponder87} while all other calculations
714 + were performed using the {\sc oopse} molecular mechanics
715 + package.\cite{Meineke05} All other portions of the energy calculation
716 + (i.e. Lennard-Jones interactions) were handled in exactly the same
717 + manner across all systems and configurations.
718 +
719 + The althernative methods were also evaluated with three different
720 + cutoff radii (9, 12, and 15 \AA).  As noted previously, the
721 + convergence parameter ($\alpha$) plays a role in the balance of the
722 + real-space and reciprocal-space portions of the Ewald calculation.
723 + Typical molecular mechanics packages set this to a value dependent on
724 + the cutoff radius and a tolerance (typically less than $1 \times
725 + 10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
726 + increasing accuracy at the expense of computational time spent on the
727 + reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
728 + The default {\sc tinker} tolerance of $1 \times 10^{-8}$ kcal/mol was used
729 + in all {\sc spme} calculations, resulting in Ewald coefficients of 0.4200,
730 + 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
731 + respectively.
732 +
733 + \section{Results and Discussion}
734 +
735 + \subsection{Configuration Energy Differences}\label{sec:EnergyResults}
736 + In order to evaluate the performance of the pairwise electrostatic
737 + summation methods for Monte Carlo simulations, the energy differences
738 + between configurations were compared to the values obtained when using
739 + {\sc spme}.  The results for the subsequent regression analysis are shown in
740 + figure \ref{fig:delE}.
741 +
742   \begin{figure}
743   \centering
744 < \includegraphics[width=3.25in]{./frcMagplot.pdf}
745 < \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.}
746 < \label{frcMag}
744 > \includegraphics[width=5.5in]{./delEplot.pdf}
745 > \caption{Statistical analysis of the quality of configurational energy
746 > differences for a given electrostatic method compared with the
747 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
748 > indicate $\Delta E$ values indistinguishable from those obtained using
749 > {\sc spme}.  Different values of the cutoff radius are indicated with
750 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
751 > inverted triangles).}
752 > \label{fig:delE}
753   \end{figure}
754  
755 < 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.
755 > The most striking feature of this plot is how well the Shifted Force
756 > ({\sc sf}) and Shifted Potential ({\sc sp}) methods capture the energy
757 > differences.  For the undamped {\sc sf} method, and the
758 > moderately-damped {\sc sp} methods, the results are nearly
759 > indistinguishable from the Ewald results.  The other common methods do
760 > significantly less well.  
761  
762 < \subsection{Torque Magnitude Comparison}
762 > The unmodified cutoff method is essentially unusable.  This is not
763 > surprising since hard cutoffs give large energy fluctuations as atoms
764 > or molecules move in and out of the cutoff
765 > radius.\cite{Rahman71,Adams79} These fluctuations can be alleviated to
766 > some degree by using group based cutoffs with a switching
767 > function.\cite{Adams79,Steinbach94,Leach01} However, we do not see
768 > significant improvement using the group-switched cutoff because the
769 > salt and salt solution systems contain non-neutral groups.  Interested
770 > readers can consult the accompanying supporting information for a
771 > comparison where all groups are neutral.
772  
773 + For the {\sc sp} method, inclusion of electrostatic damping improves
774 + the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
775 + shows an excellent correlation and quality of fit with the {\sc spme}
776 + results, particularly with a cutoff radius greater than 12
777 + \AA .  Use of a larger damping parameter is more helpful for the
778 + shortest cutoff shown, but it has a detrimental effect on simulations
779 + with larger cutoffs.  
780 +
781 + In the {\sc sf} sets, increasing damping results in progressively {\it
782 + worse} correlation with Ewald.  Overall, the undamped case is the best
783 + performing set, as the correlation and quality of fits are
784 + consistently superior regardless of the cutoff distance.  The undamped
785 + case is also less computationally demanding (because no evaluation of
786 + the complementary error function is required).
787 +
788 + The reaction field results illustrates some of that method's
789 + limitations, primarily that it was developed for use in homogenous
790 + systems; although it does provide results that are an improvement over
791 + those from an unmodified cutoff.
792 +
793 + \subsection{Magnitudes of the Force and Torque Vectors}
794 +
795 + Evaluation of pairwise methods for use in Molecular Dynamics
796 + simulations requires consideration of effects on the forces and
797 + torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
798 + regression results for the force and torque vector magnitudes,
799 + respectively.  The data in these figures was generated from an
800 + accumulation of the statistics from all of the system types.
801 +
802   \begin{figure}
803   \centering
804 < \includegraphics[width=3.25in]{./trqMagplot.pdf}
805 < \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.}
806 < \label{trqMag}
804 > \includegraphics[width=5.5in]{./frcMagplot.pdf}
805 > \caption{Statistical analysis of the quality of the force vector
806 > magnitudes for a given electrostatic method compared with the
807 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
808 > indicate force magnitude values indistinguishable from those obtained
809 > using {\sc spme}.  Different values of the cutoff radius are indicated with
810 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
811 > inverted triangles).}
812 > \label{fig:frcMag}
813   \end{figure}
814  
815 < 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.
815 > Again, it is striking how well the Shifted Potential and Shifted Force
816 > methods are doing at reproducing the {\sc spme} forces.  The undamped and
817 > weakly-damped {\sc sf} method gives the best agreement with Ewald.
818 > This is perhaps expected because this method explicitly incorporates a
819 > smooth transition in the forces at the cutoff radius as well as the
820 > neutralizing image charges.
821  
822 < \subsection{Force and Torque Direction Comparison}
822 > Figure \ref{fig:frcMag}, for the most part, parallels the results seen
823 > in the previous $\Delta E$ section.  The unmodified cutoff results are
824 > poor, but using group based cutoffs and a switching function provides
825 > an improvement much more significant than what was seen with $\Delta
826 > E$.
827  
828 < 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.
828 > With moderate damping and a large enough cutoff radius, the {\sc sp}
829 > method is generating usable forces.  Further increases in damping,
830 > while beneficial for simulations with a cutoff radius of 9 \AA\ , is
831 > detrimental to simulations with larger cutoff radii.
832  
833 + The reaction field results are surprisingly good, considering the poor
834 + quality of the fits for the $\Delta E$ results.  There is still a
835 + considerable degree of scatter in the data, but the forces correlate
836 + well with the Ewald forces in general.  We note that the reaction
837 + field calculations do not include the pure NaCl systems, so these
838 + results are partly biased towards conditions in which the method
839 + performs more favorably.
840 +
841   \begin{figure}
842   \centering
843 < \includegraphics[width=3.25in]{./gaussFit.pdf}
844 < \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.}
845 < \label{gaussian}
843 > \includegraphics[width=5.5in]{./trqMagplot.pdf}
844 > \caption{Statistical analysis of the quality of the torque vector
845 > magnitudes for a given electrostatic method compared with the
846 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
847 > indicate torque magnitude values indistinguishable from those obtained
848 > using {\sc spme}.  Different values of the cutoff radius are indicated with
849 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
850 > inverted triangles).}
851 > \label{fig:trqMag}
852   \end{figure}
853  
854 < 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.  
854 > Molecular torques were only available from the systems which contained
855 > rigid molecules (i.e. the systems containing water).  The data in
856 > fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
857 >
858 > Torques appear to be much more sensitive to charges at a longer
859 > distance.   The striking feature in comparing the new electrostatic
860 > methods with {\sc spme} is how much the agreement improves with increasing
861 > cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
862 > appears to be reproducing the {\sc spme} torques most accurately.  
863 >
864 > Water molecules are dipolar, and the reaction field method reproduces
865 > the effect of the surrounding polarized medium on each of the
866 > molecular bodies. Therefore it is not surprising that reaction field
867 > performs best of all of the methods on molecular torques.
868  
869 + \subsection{Directionality of the Force and Torque Vectors}
870 +
871 + It is clearly important that a new electrostatic method can reproduce
872 + the magnitudes of the force and torque vectors obtained via the Ewald
873 + sum. However, the {\it directionality} of these vectors will also be
874 + vital in calculating dynamical quantities accurately.  Force and
875 + torque directionalities were investigated by measuring the angles
876 + formed between these vectors and the same vectors calculated using
877 + {\sc spme}.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
878 + variance ($\sigma^2$) of the Gaussian fits of the angle error
879 + distributions of the combined set over all system types.
880 +
881   \begin{figure}
882   \centering
883 < \includegraphics[width=3.25in]{./frcTrqAngplot.pdf}
884 < \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.}
885 < \label{frcTrqAng}
883 > \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
884 > \caption{Statistical analysis of the width of the angular distribution
885 > that the force and torque vectors from a given electrostatic method
886 > make with their counterparts obtained using the reference Ewald sum.
887 > Results with a variance ($\sigma^2$) equal to zero (dashed line)
888 > indicate force and torque directions indistinguishable from those
889 > obtained using {\sc spme}.  Different values of the cutoff radius are
890 > indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
891 > and 15\AA\ = inverted triangles).}
892 > \label{fig:frcTrqAng}
893   \end{figure}
894  
895 < 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.  
895 > Both the force and torque $\sigma^2$ results from the analysis of the
896 > total accumulated system data are tabulated in figure
897 > \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
898 > sp}) method would be essentially unusable for molecular dynamics
899 > unless the damping function is added.  The Shifted Force ({\sc sf})
900 > method, however, is generating force and torque vectors which are
901 > within a few degrees of the Ewald results even with weak (or no)
902 > damping.
903  
904 + All of the sets (aside from the over-damped case) show the improvement
905 + afforded by choosing a larger cutoff radius.  Increasing the cutoff
906 + from 9 to 12 \AA\ typically results in a halving of the width of the
907 + distribution, with a similar improvement when going from 12 to 15
908 + \AA .
909 +
910 + The undamped {\sc sf}, group-based cutoff, and reaction field methods
911 + all do equivalently well at capturing the direction of both the force
912 + and torque vectors.  Using the electrostatic damping improves the
913 + angular behavior significantly for the {\sc sp} and moderately for the
914 + {\sc sf} methods.  Overdamping is detrimental to both methods.  Again
915 + it is important to recognize that the force vectors cover all
916 + particles in all seven systems, while torque vectors are only
917 + available for neutral molecular groups.  Damping is more beneficial to
918 + charged bodies, and this observation is investigated further in the
919 + accompanying supporting information.
920 +
921 + Although not discussed previously, group based cutoffs can be applied
922 + to both the {\sc sp} and {\sc sf} methods.  The group-based cutoffs
923 + will reintroduce small discontinuities at the cutoff radius, but the
924 + effects of these can be minimized by utilizing a switching function.
925 + Though there are no significant benefits or drawbacks observed in
926 + $\Delta E$ and the force and torque magnitudes when doing this, there
927 + is a measurable improvement in the directionality of the forces and
928 + torques. Table \ref{tab:groupAngle} shows the angular variances
929 + obtained using group based cutoffs along with the results seen in
930 + figure \ref{fig:frcTrqAng}.  The {\sc sp} (with an $\alpha$ of 0.2
931 + \AA$^{-1}$ or smaller) shows much narrower angular distributions when
932 + using group-based cutoffs. The {\sc sf} method likewise shows
933 + improvement in the undamped and lightly damped cases.
934 +
935   \begin{table}[htbp]
936 <   \centering
937 <   \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$^2$.}  
936 >   \centering
937 >   \caption{Statistical analysis of the angular
938 >   distributions that the force (upper) and torque (lower) vectors
939 >   from a given electrostatic method make with their counterparts
940 >   obtained using the reference Ewald sum.  Calculations were
941 >   performed both with (Y) and without (N) group based cutoffs and a
942 >   switching function.  The $\alpha$ values have units of \AA$^{-1}$
943 >   and the variance values have units of degrees$^2$.}
944 >
945     \begin{tabular}{@{} ccrrrrrrrr @{}}
946        \\
947        \toprule
# Line 173 | Line 969 | Both the force and torque $\sigma^2$ results from the
969  
970        \bottomrule
971     \end{tabular}
972 <   \label{groupAngle}
972 >   \label{tab:groupAngle}
973   \end{table}
974  
975 < 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.  
975 > One additional trend in table \ref{tab:groupAngle} is that the
976 > $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as $\alpha$
977 > increases, something that is more obvious with group-based cutoffs.
978 > The complimentary error function inserted into the potential weakens
979 > the electrostatic interaction as the value of $\alpha$ is increased.
980 > However, at larger values of $\alpha$, it is possible to overdamp the
981 > electrostatic interaction and to remove it completely.  Kast
982 > \textit{et al.}  developed a method for choosing appropriate $\alpha$
983 > values for these types of electrostatic summation methods by fitting
984 > to $g(r)$ data, and their methods indicate optimal values of 0.34,
985 > 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
986 > respectively.\cite{Kast03} These appear to be reasonable choices to
987 > obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
988 > these findings, choices this high would introduce error in the
989 > molecular torques, particularly for the shorter cutoffs.  Based on our
990 > observations, empirical damping up to 0.2 \AA$^{-1}$ is beneficial,
991 > but damping may be unnecessary when using the {\sc sf} method.
992  
993 < 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.
993 > \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
994  
995 + Zahn {\it et al.} investigated the structure and dynamics of water
996 + using eqs. (\ref{eq:ZahnPot}) and
997 + (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
998 + that a method similar (but not identical with) the damped {\sc sf}
999 + method resulted in properties very similar to those obtained when
1000 + using the Ewald summation.  The properties they studied (pair
1001 + distribution functions, diffusion constants, and velocity and
1002 + orientational correlation functions) may not be particularly sensitive
1003 + to the long-range and collective behavior that governs the
1004 + low-frequency behavior in crystalline systems.  Additionally, the
1005 + ionic crystals are the worst case scenario for the pairwise methods
1006 + because they lack the reciprocal space contribution contained in the
1007 + Ewald summation.  
1008 +
1009 + We are using two separate measures to probe the effects of these
1010 + alternative electrostatic methods on the dynamics in crystalline
1011 + materials.  For short- and intermediate-time dynamics, we are
1012 + computing the velocity autocorrelation function, and for long-time
1013 + and large length-scale collective motions, we are looking at the
1014 + low-frequency portion of the power spectrum.
1015 +
1016 + \begin{figure}
1017 + \centering
1018 + \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
1019 + \caption{Velocity autocorrelation functions of NaCl crystals at
1020 + 1000 K using {\sc spme}, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
1021 + sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
1022 + the first minimum.  The times to first collision are nearly identical,
1023 + but differences can be seen in the peaks and troughs, where the
1024 + undamped and weakly damped methods are stiffer than the moderately
1025 + damped and {\sc spme} methods.}
1026 + \label{fig:vCorrPlot}
1027 + \end{figure}
1028 +
1029 + The short-time decay of the velocity autocorrelation function through
1030 + the first collision are nearly identical in figure
1031 + \ref{fig:vCorrPlot}, but the peaks and troughs of the functions show
1032 + how the methods differ.  The undamped {\sc sf} method has deeper
1033 + troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher peaks than
1034 + any of the other methods.  As the damping parameter ($\alpha$) is
1035 + increased, these peaks are smoothed out, and the {\sc sf} method
1036 + approaches the {\sc spme} results.  With $\alpha$ values of 0.2 \AA$^{-1}$,
1037 + the {\sc sf} and {\sc sp} functions are nearly identical and track the
1038 + {\sc spme} features quite well.  This is not surprising because the {\sc sf}
1039 + and {\sc sp} potentials become nearly identical with increased
1040 + damping.  However, this appears to indicate that once damping is
1041 + utilized, the details of the form of the potential (and forces)
1042 + constructed out of the damped electrostatic interaction are less
1043 + important.
1044 +
1045 + \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1046 +
1047 + To evaluate how the differences between the methods affect the
1048 + collective long-time motion, we computed power spectra from long-time
1049 + traces of the velocity autocorrelation function. The power spectra for
1050 + the best-performing alternative methods are shown in
1051 + fig. \ref{fig:methodPS}.  Apodization of the correlation functions via
1052 + a cubic switching function between 40 and 50 ps was used to reduce the
1053 + ringing resulting from data truncation.  This procedure had no
1054 + noticeable effect on peak location or magnitude.
1055 +
1056 + \begin{figure}
1057 + \centering
1058 + \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1059 + \caption{Power spectra obtained from the velocity auto-correlation
1060 + functions of NaCl crystals at 1000 K while using {\sc spme}, {\sc sf}
1061 + ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  The inset
1062 + shows the frequency region below 100 cm$^{-1}$ to highlight where the
1063 + spectra differ.}
1064 + \label{fig:methodPS}
1065 + \end{figure}
1066 +
1067 + While the high frequency regions of the power spectra for the
1068 + alternative methods are quantitatively identical with Ewald spectrum,
1069 + the low frequency region shows how the summation methods differ.
1070 + Considering the low-frequency inset (expanded in the upper frame of
1071 + figure \ref{fig:dampInc}), at frequencies below 100 cm$^{-1}$, the
1072 + correlated motions are blue-shifted when using undamped or weakly
1073 + damped {\sc sf}.  When using moderate damping ($\alpha = 0.2$
1074 + \AA$^{-1}$) both the {\sc sf} and {\sc sp} methods give nearly identical
1075 + correlated motion to the Ewald method (which has a convergence
1076 + parameter of 0.3119 \AA$^{-1}$).  This weakening of the electrostatic
1077 + interaction with increased damping explains why the long-ranged
1078 + correlated motions are at lower frequencies for the moderately damped
1079 + methods than for undamped or weakly damped methods.
1080 +
1081 + To isolate the role of the damping constant, we have computed the
1082 + spectra for a single method ({\sc sf}) with a range of damping
1083 + constants and compared this with the {\sc spme} spectrum.
1084 + Fig. \ref{fig:dampInc} shows more clearly that increasing the
1085 + electrostatic damping red-shifts the lowest frequency phonon modes.
1086 + However, even without any electrostatic damping, the {\sc sf} method
1087 + has at most a 10 cm$^{-1}$ error in the lowest frequency phonon mode.
1088 + Without the {\sc sf} modifications, an undamped (pure cutoff) method
1089 + would predict the lowest frequency peak near 325 cm$^{-1}$.  {\it
1090 + Most} of the collective behavior in the crystal is accurately captured
1091 + using the {\sc sf} method.  Quantitative agreement with Ewald can be
1092 + obtained using moderate damping in addition to the shifting at the
1093 + cutoff distance.
1094 +
1095 + \begin{figure}
1096 + \centering
1097 + \includegraphics[width = \linewidth]{./increasedDamping.pdf}
1098 + \caption{Effect of damping on the two lowest-frequency phonon modes in
1099 + the NaCl crystal at 1000K.  The undamped shifted force ({\sc sf})
1100 + method is off by less than 10 cm$^{-1}$, and increasing the
1101 + electrostatic damping to 0.25 \AA$^{-1}$ gives quantitative agreement
1102 + with the power spectrum obtained using the Ewald sum.  Overdamping can
1103 + result in underestimates of frequencies of the long-wavelength
1104 + motions.}
1105 + \label{fig:dampInc}
1106 + \end{figure}
1107 +
1108   \section{Conclusions}
1109  
1110 + This investigation of pairwise electrostatic summation techniques
1111 + shows that there are viable and computationally efficient alternatives
1112 + to the Ewald summation.  These methods are derived from the damped and
1113 + cutoff-neutralized Coulombic sum originally proposed by Wolf
1114 + \textit{et al.}\cite{Wolf99} In particular, the {\sc sf}
1115 + method, reformulated above as eqs. (\ref{eq:DSFPot}) and
1116 + (\ref{eq:DSFForces}), shows a remarkable ability to reproduce the
1117 + energetic and dynamic characteristics exhibited by simulations
1118 + employing lattice summation techniques.  The cumulative energy
1119 + difference results showed the undamped {\sc sf} and moderately damped
1120 + {\sc sp} methods produced results nearly identical to {\sc spme}.  Similarly
1121 + for the dynamic features, the undamped or moderately damped {\sc sf}
1122 + and moderately damped {\sc sp} methods produce force and torque vector
1123 + magnitude and directions very similar to the expected values.  These
1124 + results translate into long-time dynamic behavior equivalent to that
1125 + produced in simulations using {\sc spme}.
1126 +
1127 + As in all purely-pairwise cutoff methods, these methods are expected
1128 + to scale approximately {\it linearly} with system size, and they are
1129 + easily parallelizable.  This should result in substantial reductions
1130 + in the computational cost of performing large simulations.
1131 +
1132 + Aside from the computational cost benefit, these techniques have
1133 + applicability in situations where the use of the Ewald sum can prove
1134 + problematic.  Of greatest interest is their potential use in
1135 + interfacial systems, where the unmodified lattice sum techniques
1136 + artificially accentuate the periodicity of the system in an
1137 + undesirable manner.  There have been alterations to the standard Ewald
1138 + techniques, via corrections and reformulations, to compensate for
1139 + these systems; but the pairwise techniques discussed here require no
1140 + modifications, making them natural tools to tackle these problems.
1141 + Additionally, this transferability gives them benefits over other
1142 + pairwise methods, like reaction field, because estimations of physical
1143 + properties (e.g. the dielectric constant) are unnecessary.
1144 +
1145 + If a researcher is using Monte Carlo simulations of large chemical
1146 + systems containing point charges, most structural features will be
1147 + accurately captured using the undamped {\sc sf} method or the {\sc sp}
1148 + method with an electrostatic damping of 0.2 \AA$^{-1}$.  These methods
1149 + would also be appropriate for molecular dynamics simulations where the
1150 + data of interest is either structural or short-time dynamical
1151 + quantities.  For long-time dynamics and collective motions, the safest
1152 + pairwise method we have evaluated is the {\sc sf} method with an
1153 + electrostatic damping between 0.2 and 0.25
1154 + \AA$^{-1}$.
1155 +
1156 + We are not suggesting that there is any flaw with the Ewald sum; in
1157 + fact, it is the standard by which these simple pairwise sums have been
1158 + judged.  However, these results do suggest that in the typical
1159 + simulations performed today, the Ewald summation may no longer be
1160 + required to obtain the level of accuracy most researchers have come to
1161 + expect.
1162 +
1163   \section{Acknowledgments}
1164 + Support for this project was provided by the National Science
1165 + Foundation under grant CHE-0134881.  The authors would like to thank
1166 + Steve Corcelli and Ed Maginn for helpful discussions and comments.
1167  
1168   \newpage
1169  
1170 < \bibliographystyle{achemso}
1170 > \bibliographystyle{jcp2}
1171   \bibliography{electrostaticMethods}
1172  
1173  

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