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# Line 2 | Line 2
2   %\documentclass[aps,prb,preprint]{revtex4}
3   \documentclass[11pt]{article}
4   \usepackage{endfloat}
5 < \usepackage{amsmath}
5 > \usepackage{amsmath,bm}
6   \usepackage{amssymb}
7   \usepackage{epsf}
8   \usepackage{times}
# Line 81 | Line 81 | impractical task to perform these calculations.
81   impractical task to perform these calculations.
82  
83   \subsection{The Ewald Sum}
84 < blah blah blah Ewald Sum Important blah blah blah
84 > The complete accumulation electrostatic interactions in a system with periodic boundary conditions (PBC) requires the consideration of the effect of all charges within a simulation box, as well as those in the periodic replicas,
85 > \begin{equation}
86 > 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],
87 > \label{eq:PBCSum}
88 > \end{equation}
89 > where the sum over $\mathbf{n}$ is a sum over all periodic box replicas
90 > with integer coordinates $\mathbf{n} = (l,m,n)$, and the prime indicates
91 > $i = j$ are neglected for $\mathbf{n} = 0$.\cite{deLeeuw80} Within the
92 > sum, $N$ is the number of electrostatic particles, $\mathbf{r}_{ij}$ is
93 > $\mathbf{r}_j - \mathbf{r}_i$, $L$ is the cell length, $\bm{\Omega}_{i,j}$ are
94 > the Euler angles for $i$ and $j$, and $\phi$ is Poisson's equation
95 > ($\phi(\mathbf{r}_{ij}) = q_i q_j |\mathbf{r}_{ij}|^{-1}$ for charge-charge
96 > interactions). In the case of monopole electrostatics,
97 > eq. (\ref{eq:PBCSum}) is conditionally convergent and is discontiuous
98 > for non-neutral systems.
99  
100 + This electrostatic summation problem was originally studied by Ewald
101 + for the case of an infinite crystal.\cite{Ewald21}. The approach he
102 + took was to convert this conditionally convergent sum into two
103 + absolutely convergent summations: a short-ranged real-space summation
104 + and a long-ranged reciprocal-space summation,
105 + \begin{equation}
106 + \begin{split}
107 + 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}{3L^3}\left|\sum_{i=1}^N q_i\mathbf{r}_i\right|^2,
108 + \end{split}
109 + \label{eq:EwaldSum}
110 + \end{equation}
111 + where $\alpha$ is a damping parameter, or separation constant, with
112 + units of \AA$^{-1}$, and $\mathbf{k}$ are the reciprocal vectors and
113 + equal $2\pi\mathbf{n}/L^2$. The final two terms of
114 + eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
115 + for interacting with a surrounding dielectric.\cite{Allen87} This
116 + dipolar term was neglected in early applications in molecular
117 + simulations,\cite{Brush66,Woodcock71} until it was introduced by de
118 + Leeuw {\it et al.} to address situations where the unit cell has a
119 + dipole moment and this dipole moment gets magnified through
120 + replication of the periodic images.\cite{deLeeuw80} This term is zero
121 + for systems where $\epsilon_{\rm S} = \infty$. Figure
122 + \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
123 + time.  Initially, due to the small size of systems, the entire
124 + simulation box was replicated to convergence.  Currently, we balance a
125 + spherical real-space cutoff with the reciprocal sum and consider the
126 + surrounding dielectric.
127   \begin{figure}
128   \centering
129   \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
# Line 96 | Line 137 | a surrounding dielectric term is included.}
137   \label{fig:ewaldTime}
138   \end{figure}
139  
140 + The Ewald summation in the straight-forward form is an
141 + $\mathscr{O}(N^2)$ algorithm.  The separation constant $(\alpha)$
142 + plays an important role in the computational cost balance between the
143 + direct and reciprocal-space portions of the summation.  The choice of
144 + the magnitude of this value allows one to whether the real-space or
145 + reciprocal space portion of the summation is an $\mathscr{O}(N^2)$
146 + calcualtion, with the other being $\mathscr{O}(N)$.\cite{Sagui99} With
147 + appropriate choice of $\alpha$ and thoughtful algorithm development,
148 + this cost can be brought down to
149 + $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route taken to
150 + accelerate the Ewald summation is to se
151 +
152   \subsection{The Wolf and Zahn Methods}
153   In a recent paper by Wolf \textit{et al.}, a procedure was outlined
154 < for an accurate accumulation of electrostatic interactions in an
154 > for the accurate accumulation of electrostatic interactions in an
155   efficient pairwise fashion.\cite{Wolf99} Wolf \textit{et al.} observed
156   that the electrostatic interaction is effectively short-ranged in
157   condensed phase systems and that neutralization of the charge
# Line 111 | Line 164 | Ewald sum) to aid convergence
164   function (identical to that seen in the real-space portion of the
165   Ewald sum) to aid convergence
166   \begin{equation}
167 < V^{\textrm{Wolf}}(r_{ij})= \frac{q_iq_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\}.
167 > V_{\textrm{Wolf}}(r_{ij})= \frac{q_iq_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\}.
168   \label{eq:WolfPot}
169   \end{equation}
170   Eq. (\ref{eq:WolfPot}) is essentially the common form of a shifted
171   potential.  However, neutralizing the charge contained within each
172   cutoff sphere requires the placement of a self-image charge on the
173   surface of the cutoff sphere.  This additional self-term in the total
174 < potential enables Wolf {\it et al.}  to obtain excellent estimates of
174 > potential enabled Wolf {\it et al.}  to obtain excellent estimates of
175   Madelung energies for many crystals.
176  
177   In order to use their charge-neutralized potential in molecular
# Line 126 | Line 179 | procedure gives an expression for the forces,
179   derivative of this potential prior to evaluation of the limit.  This
180   procedure gives an expression for the forces,
181   \begin{equation}
182 < F^{\textrm{Wolf}}(r_{ij}) = q_i q_j\left\{-\left[\frac{\textrm{erfc}(\alpha r_{ij})}{r^2_{ij}}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{(-\alpha^2r_{ij}^2)}}{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\},
182 > 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\},
183   \label{eq:WolfForces}
184   \end{equation}
185   that incorporates both image charges and damping of the electrostatic
# Line 134 | Line 187 | force expressions for use in simulations involving wat
187  
188   More recently, Zahn \textit{et al.} investigated these potential and
189   force expressions for use in simulations involving water.\cite{Zahn02}
190 < In their work, they pointed out that the method that the forces and
191 < derivative of the potential are not commensurate.  Attempts to use
192 < both Eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will
193 < lead to poor energy conservation.  They correctly observed that taking
194 < the limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating
195 < the derivatives is mathematically invalid.
190 > In their work, they pointed out that the forces and derivative of
191 > the potential are not commensurate.  Attempts to use both
192 > Eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
193 > to poor energy conservation.  They correctly observed that taking the
194 > limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
195 > derivatives gives forces for a different potential energy function
196 > than the one shown in Eq. (\ref{eq:WolfPot}).
197  
198   Zahn \textit{et al.} proposed a modified form of this ``Wolf summation
199   method'' as a way to use this technique in Molecular Dynamics
# Line 147 | Line 201 | potential,
201   \ref{eq:WolfForces}, they proposed a new damped Coulomb
202   potential,
203   \begin{equation}
204 < 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\}.
204 > 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\}.
205   \label{eq:ZahnPot}
206   \end{equation}
207   They showed that this potential does fairly well at capturing the
# Line 158 | Line 212 | al.} are constructed using two different (and separabl
212  
213   The potentials proposed by Wolf \textit{et al.} and Zahn \textit{et
214   al.} are constructed using two different (and separable) computational
215 < tricks: \begin{itemize}
215 > tricks: \begin{enumerate}
216   \item shifting through the use of image charges, and
217   \item damping the electrostatic interaction.
218 < \end{itemize}  Wolf \textit{et al.} treated the
218 > \end{enumerate}  Wolf \textit{et al.} treated the
219   development of their summation method as a progressive application of
220   these techniques,\cite{Wolf99} while Zahn \textit{et al.} founded
221   their damped Coulomb modification (Eq. (\ref{eq:ZahnPot})) on the
# Line 181 | Line 235 | shifted potential,
235   \textit{et al.}  and Zahn \textit{et al.} by considering the standard
236   shifted potential,
237   \begin{equation}
238 < v^\textrm{SP}(r) =      \begin{cases}
238 > v_\textrm{SP}(r) =      \begin{cases}
239   v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
240   R_\textrm{c}  
241   \end{cases},
# Line 189 | Line 243 | and shifted force,
243   \end{equation}
244   and shifted force,
245   \begin{equation}
246 < v^\textrm{SF}(r) =      \begin{cases}
247 < v(r)-v_\textrm{c}-\left(\frac{\textrm{d}v(r)}{\textrm{d}r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
246 > v_\textrm{SF}(r) =      \begin{cases}
247 > v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
248   &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
249                                                  \end{cases},
250   \label{eq:shiftingForm}
# Line 202 | Line 256 | potential is smooth at the cutoff radius
256   potential is smooth at the cutoff radius
257   ($R_\textrm{c}$).\cite{Allen87}
258  
259 <
260 <
207 <
208 < If the derivative term is taken to be zero, we are left with the shifted Coulomb potential devised by Wolf \textit{et al.},\cite{Wolf99}
259 > The forces associated with the shifted potential are simply the forces
260 > of the unshifted potential itself (when inside the cutoff sphere),
261   \begin{equation}
262 < V^\textrm{SP}(r_{ij}) = q_iq_j\left(\frac{1}{r_{ij}}-\frac{1}{R_\textrm{c}}\right) \quad r_{ij}\leqslant R_\textrm{c}.                          \label{eq:WolfSP}
262 > f_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
263   \end{equation}
264 < The forces associated with this potential are obtained by taking the derivative, resulting in the following,
264 > and are zero outside.  Inside the cutoff sphere, the forces associated
265 > with the shifted force form can be written,
266   \begin{equation}
267 < F^\textrm{SP}(r_{ij}) = q_iq_j\left(-\frac{1}{r_{ij}^2}\right) \quad r_{ij}\leqslant R_\textrm{c}.
268 < \label{eq:FWolfSP}
267 > f_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
268 > v(r)}{dr} \right)_{r=R_\textrm{c}}.
269   \end{equation}
270 < These forces are identical to the forces of the standard electrostatic interaction, and this was addressed by Wolf \textit{et al.} as undesirable.  They pointed out that the effect of the image charges is neglected in the forces when they would expect there to be some pressure exerted due to their presence.\cite{Wolf99}  As a consequence the forces, though mathematically valid, may not be physically correct due to this missing component.  Additionally, there is a discontinuity in the forces.  This can be remedied with the use of a switching function to zero the potential and forces smoothly as particles near $R_\textrm{c}$.  
270 >
271 > If the potential ($v(r)$) is taken to be the normal Coulomb potential,
272 > \begin{equation}
273 > v(r) = \frac{q_i q_j}{r},
274 > \label{eq:Coulomb}
275 > \end{equation}
276 > then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
277 > al.}'s undamped prescription:
278 > \begin{equation}
279 > v_\textrm{SP}(r) =
280 > q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
281 > r\leqslant R_\textrm{c},
282 > \label{eq:SPPot}
283 > \end{equation}
284 > with associated forces,
285 > \begin{equation}
286 > f_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
287 > \label{eq:SPForces}
288 > \end{equation}
289 > These forces are identical to the forces of the standard Coulomb
290 > interaction, and cutting these off at $R_c$ was addressed by Wolf
291 > \textit{et al.} as undesirable.  They pointed out that the effect of
292 > the image charges is neglected in the forces when this form is
293 > used,\cite{Wolf99} thereby eliminating any benefit from the method in
294 > molecular dynamics.  Additionally, there is a discontinuity in the
295 > forces at the cutoff radius which results in energy drift during MD
296 > simulations.
297  
298 < If the derivative term in equation \ref{eq:shiftingForm} is evaluated, we obtain an hitherto undiscussed shifted force Coulomb potential,
298 > The shifted force ({\sc sf}) form using the normal Coulomb potential
299 > will give,
300   \begin{equation}
301 < V^\textrm{SF}(r_{ij}) = q_iq_j\left[\frac{1}{r_{ij}}-\frac{1}{R_\textrm{c}}+\left(\frac{1}{R_\textrm{c}^2}\right)(r_{ij}-R_\textrm{c})\right] \quad r_{ij}\leqslant R_\textrm{c}.
301 > 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}.
302   \label{eq:SFPot}
303   \end{equation}
304 < Taking the derivative of this shifted force potential gives the
225 < following forces,
304 > with associated forces,
305   \begin{equation}
306 < F^\textrm{SF}(r_{ij} =  q_iq_j\left(-\frac{1}{r_{ij}^2}+\frac{1}{R_\textrm{c}^2}\right) \quad r_{ij}\leqslant R_\textrm{c}.
306 > 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}.
307   \label{eq:SFForces}
308   \end{equation}
309 < Using this formulation rather than the simple shifted potential
310 < (Eq. \ref{eq:WolfSP}) means that there are no discontinuities in the
311 < forces in addition to the potential.  This form also has the benefit
312 < that the image charges have a force presence, addressing the concerns
313 < about a missing physical component.  One side effect of this treatment
314 < is a slight alteration in the shape of the potential that comes about
315 < from the derivative term.  Thus, a degree of clarity about the
316 < original formulation of the potential is lost in order to gain
317 < functionality in dynamics simulations.
309 > This formulation has the benefits that there are no discontinuities at
310 > the cutoff distance, while the neutralizing image charges are present
311 > in both the energy and force expressions.  It would be simple to add
312 > the self-neutralizing term back when computing the total energy of the
313 > system, thereby maintaining the agreement with the Madelung energies.
314 > A side effect of this treatment is the alteration in the shape of the
315 > potential that comes from the derivative term.  Thus, a degree of
316 > clarity about agreement with the empirical potential is lost in order
317 > to gain functionality in dynamics simulations.
318  
319   Wolf \textit{et al.} originally discussed the energetics of the
320 < shifted Coulomb potential (Eq. \ref{eq:WolfSP}), and they found that
321 < it was still insufficient for accurate determination of the energy.
322 < The energy would fluctuate around the expected value with increasing
323 < cutoff radius, but the oscillations appeared to be converging toward
324 < the correct value.\cite{Wolf99} A damping function was incorporated to
325 < accelerate convergence; and though alternative functional forms could
326 < be used,\cite{Jones56,Heyes81} the complimentary error function was
327 < chosen to draw parallels to the Ewald summation.  Incorporating
328 < damping into the simple Coulomb potential,
320 > shifted Coulomb potential (Eq. \ref{eq:SPPot}), and they found that
321 > it was still insufficient for accurate determination of the energy
322 > with reasonable cutoff distances.  The calculated Madelung energies
323 > fluctuate around the expected value with increasing cutoff radius, but
324 > the oscillations converge toward the correct value.\cite{Wolf99} A
325 > damping function was incorporated to accelerate the convergence; and
326 > though alternative functional forms could be
327 > used,\cite{Jones56,Heyes81} the complimentary error function was
328 > chosen to mirror the effective screening used in the Ewald summation.
329 > Incorporating this error function damping into the simple Coulomb
330 > potential,
331   \begin{equation}
332 < v(r_{ij}) = \frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}},
332 > v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
333   \label{eq:dampCoulomb}
334   \end{equation}
335 < the shifted potential (Eq. \ref{eq:WolfSP}) can be rederived
336 < \textit{via} equation \ref{eq:shiftingForm},
335 > the shifted potential (Eq. (\ref{eq:SPPot})) can be reacquired using
336 > eq. (\ref{eq:shiftingForm}),
337   \begin{equation}
338 < V^{\textrm{DSP}}(r_{ij}) = q_iq_j\left(\frac{\textrm{erfc}(\alpha r_{ij})}{r_{ij}}-\frac{\textrm{erfc}(\alpha R_\textrm{c})}{R_\textrm{c}}\right) \quad r_{ij}\leqslant R_\textrm{c}.
338 > 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},
339   \label{eq:DSPPot}
340   \end{equation}
341 < The derivative of this Shifted-Potential can be taken to obtain forces
261 < for use in MD,
341 > with associated forces,
342   \begin{equation}
343 < F^{\textrm{DSP}}(r_{ij}) = q_iq_j\left(-\frac{\textrm{erfc}(\alpha r_{ij})}{r^2_{ij}}-\frac{2\alpha}{\pi^{1/2}}\frac{\exp{(-\alpha^2r_{ij}^2)}}{r_{ij}}\right) \quad r_{ij}\leqslant R_\textrm{c}.
343 > 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}.
344   \label{eq:DSPForces}
345   \end{equation}
346 < Again, this Shifted-Potential suffers from a discontinuity in the
347 < forces, and a lack of an image-charge component in the forces.  To
348 < remedy these concerns, a Shifted-Force variant is obtained by
349 < inclusion of the derivative term in equation \ref{eq:shiftingForm} to
270 < give,
346 > Again, this damped shifted potential suffers from a discontinuity and
347 > a lack of the image charges in the forces.  To remedy these concerns,
348 > one may derive a {\sc sf} variant by including  the derivative
349 > term in eq. (\ref{eq:shiftingForm}),
350   \begin{equation}
351   \begin{split}
352 < V^\mathrm{DSF}(r_{ij}) = q_iq_j\Biggr{[}&\frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}}-\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_{ij}-R_\mathrm{c}\right)\ \right] \quad r_{ij}\leqslant R_\textrm{c}.
352 > 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}.
353   \label{eq:DSFPot}
354   \end{split}
355   \end{equation}
356 < The derivative of the above potential gives the following forces,
356 > The derivative of the above potential will lead to the following forces,
357   \begin{equation}
358   \begin{split}
359 < F^\mathrm{DSF}(r_{ij}) = q_iq_j\Biggr{[}&-\left(\frac{\textrm{erfc}(\alpha r_{ij})}{r^2_{ij}}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{(-\alpha^2r_{ij}^2)}}{r_{ij}}\right) \\ &\left.+\left(\frac{\textrm{erfc}(\alpha R_{\textrm{c}})}{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_{ij}\leqslant R_\textrm{c}.
359 > 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}.
360   \label{eq:DSFForces}
361   \end{split}
362   \end{equation}
363 + If the damping parameter $(\alpha)$ is chosen to be zero, the undamped
364 + case, eqs. (\ref{eq:SPPot}-\ref{eq:SFForces}) are correctly recovered
365 + from eqs. (\ref{eq:DSPPot}-\ref{eq:DSFForces}).
366  
367 < This new Shifted-Force potential is similar to equation
368 < \ref{eq:ZahnPot} derived by Zahn \textit{et al.}; however, there are
369 < two important differences.\cite{Zahn02} First, the $v_\textrm{c}$ term
370 < from equation \ref{eq:shiftingForm} is equal to equation
371 < \ref{eq:dampCoulomb} with $R_\textrm{c}$ supplied for $r_{ij}$.  This
372 < term is not present in the Zahn potential, resulting in a
373 < discontinuity as particles cross $R_\textrm{c}$.  Second, the sign of
374 < the derivative portion is different.  The constant $v_\textrm{c}$ term
375 < is not going to have a presence in the forces after performing the
376 < derivative, but the negative sign does effect the derivative.  In
377 < fact, it introduces a discontinuity in the forces at the cutoff,
378 < because the force function is shifted in the wrong direction and
379 < doesn't cross zero at $R_\textrm{c}$.  Thus, these alterations make
380 < for an electrostatic summation method that is continuous in both the
299 < potential and forces and incorporates the pairwise sum considerations
300 < stressed by Wolf \textit{et al.}\cite{Wolf99}
367 > This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
368 > derived by Zahn \textit{et al.}; however, there are two important
369 > differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from
370 > eq. (\ref{eq:shiftingForm}) is equal to eq. (\ref{eq:dampCoulomb})
371 > with $r$ replaced by $R_\textrm{c}$.  This term is {\it not} present
372 > in the Zahn potential, resulting in a potential discontinuity as
373 > particles cross $R_\textrm{c}$.  Second, the sign of the derivative
374 > portion is different.  The missing $v_\textrm{c}$ term would not
375 > affect molecular dynamics simulations (although the computed energy
376 > would be expected to have sudden jumps as particle distances crossed
377 > $R_c$).  The sign problem would be a potential source of errors,
378 > however.  In fact, it introduces a discontinuity in the forces at the
379 > cutoff, because the force function is shifted in the wrong direction
380 > and doesn't cross zero at $R_\textrm{c}$.
381  
382 + Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
383 + electrostatic summation method that is continuous in both the
384 + potential and forces and which incorporates the damping function
385 + proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of this
386 + paper, we will evaluate exactly how good these methods ({\sc sp}, {\sc
387 + sf}, damping) are at reproducing the correct electrostatic summation
388 + performed by the Ewald sum.
389 +
390 + \subsection{Other alternatives}
391 + In addition to the methods described above, we will consider some
392 + other techniques that commonly get used in molecular simulations.  The
393 + simplest of these is group-based cutoffs.  Though of little use for
394 + non-neutral molecules, collecting atoms into neutral groups takes
395 + advantage of the observation that the electrostatic interactions decay
396 + faster than those for monopolar pairs.\cite{Steinbach94} When
397 + considering these molecules as groups, an orientational aspect is
398 + introduced to the interactions.  Consequently, as these molecular
399 + particles move through $R_\textrm{c}$, the energy will drift upward
400 + due to the anisotropy of the net molecular dipole
401 + interactions.\cite{Rahman71} To maintain good energy conservation,
402 + both the potential and derivative need to be smoothly switched to zero
403 + at $R_\textrm{c}$.\cite{Adams79} This is accomplished using a
404 + switching function,
405 + \begin{equation}
406 + S(r) = \begin{cases} 1 &\quad r\leqslant r_\textrm{sw} \\
407 + \frac{(R_\textrm{c}+2r-3r_\textrm{sw})(R_\textrm{c}-r)^2}{(R_\textrm{c}-r_\textrm{sw})^3} &\quad r_\textrm{sw}<r\leqslant R_\textrm{c} \\
408 + 0 &\quad r>R_\textrm{c}
409 + \end{cases},
410 + \end{equation}
411 + where the above form is for a cubic function.  If a smooth second
412 + derivative is desired, a fifth (or higher) order polynomial can be
413 + used.\cite{Andrea83}
414 +
415 + Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
416 + and to incorporate their effect, a method like Reaction Field ({\sc
417 + rf}) can be used.  The original theory for {\sc rf} was originally
418 + developed by Onsager,\cite{Onsager36} and it was applied in
419 + simulations for the study of water by Barker and Watts.\cite{Barker73}
420 + In application, it is simply an extension of the group-based cutoff
421 + method where the net dipole within the cutoff sphere polarizes an
422 + external dielectric, which reacts back on the central dipole.  The
423 + same switching function considerations for group-based cutoffs need to
424 + made for {\sc rf}, with the additional pre-specification of a
425 + dielectric constant.
426 +
427   \section{Methods}
428  
304 \subsection{What Qualities are Important?}\label{sec:Qualities}
429   In classical molecular mechanics simulations, there are two primary
430   techniques utilized to obtain information about the system of
431   interest: Monte Carlo (MC) and Molecular Dynamics (MD).  Both of these
# Line 310 | Line 434 | configurations dictates the progression of MC sampling
434  
435   In MC, the potential energy difference between two subsequent
436   configurations dictates the progression of MC sampling.  Going back to
437 < the origins of this method, the Canonical ensemble acceptance criteria
438 < laid out by Metropolis \textit{et al.} states that a subsequent
439 < configuration is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta
440 < E/kT)$, where $\xi$ is a random number between 0 and
441 < 1.\cite{Metropolis53} Maintaining a consistent $\Delta E$ when using
442 < an alternate method for handling the long-range electrostatics ensures
443 < proper sampling within the ensemble.
437 > the origins of this method, the acceptance criterion for the canonical
438 > ensemble laid out by Metropolis \textit{et al.} states that a
439 > subsequent configuration is accepted if $\Delta E < 0$ or if $\xi <
440 > \exp(-\Delta E/kT)$, where $\xi$ is a random number between 0 and
441 > 1.\cite{Metropolis53} Maintaining the correct $\Delta E$ when using an
442 > alternate method for handling the long-range electrostatics will
443 > ensure proper sampling from the ensemble.
444  
445 < In MD, the derivative of the potential directs how the system will
445 > In MD, the derivative of the potential governs how the system will
446   progress in time.  Consequently, the force and torque vectors on each
447 < body in the system dictate how it develops as a whole.  If the
448 < magnitude and direction of these vectors are similar when using
449 < alternate electrostatic summation techniques, the dynamics in the near
450 < term will be indistinguishable.  Because error in MD calculations is
451 < cumulative, one should expect greater deviation in the long term
452 < trajectories with greater differences in these vectors between
453 < configurations using different long-range electrostatics.
447 > body in the system dictate how the system evolves.  If the magnitude
448 > and direction of these vectors are similar when using alternate
449 > electrostatic summation techniques, the dynamics in the short term
450 > will be indistinguishable.  Because error in MD calculations is
451 > cumulative, one should expect greater deviation at longer times,
452 > although methods which have large differences in the force and torque
453 > vectors will diverge from each other more rapidly.
454  
455   \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
456 < Evaluation of the pairwise summation techniques (outlined in section
457 < \ref{sec:ESMethods}) for use in MC simulations was performed through
458 < study of the energy differences between conformations.  Considering
459 < the SPME results to be the correct or desired behavior, ideal
460 < performance of a tested method was taken to be agreement between the
461 < energy differences calculated.  Linear least squares regression of the
462 < $\Delta E$ values between configurations using SPME against $\Delta E$
463 < values using tested methods provides a quantitative comparison of this
464 < agreement.  Unitary results for both the correlation and correlation
465 < coefficient for these regressions indicate equivalent energetic
466 < results between the methods.  The correlation is the slope of the
467 < plotted data while the correlation coefficient ($R^2$) is a measure of
468 < the of the data scatter around the fitted line and tells about the
469 < quality of the fit (Fig. \ref{fig:linearFit}).
456 > The pairwise summation techniques (outlined in section
457 > \ref{sec:ESMethods}) were evaluated for use in MC simulations by
458 > studying the energy differences between conformations.  We took the
459 > SPME-computed energy difference between two conformations to be the
460 > correct behavior. An ideal performance by an alternative method would
461 > reproduce these energy differences exactly.  Since none of the methods
462 > provide exact energy differences, we used linear least squares
463 > regressions of the $\Delta E$ values between configurations using SPME
464 > against $\Delta E$ values using tested methods provides a quantitative
465 > comparison of this agreement.  Unitary results for both the
466 > correlation and correlation coefficient for these regressions indicate
467 > equivalent energetic results between the method under consideration
468 > and electrostatics handled using SPME.  Sample correlation plots for
469 > two alternate methods are shown in Fig. \ref{fig:linearFit}.
470  
471   \begin{figure}
472   \centering
# Line 351 | Line 475 | quality of the fit (Fig. \ref{fig:linearFit}).
475   \label{fig:linearFit}
476   \end{figure}
477  
478 < Each system type (detailed in section \ref{sec:RepSims}) studied
479 < consisted of 500 independent configurations, each equilibrated from
480 < higher temperature trajectories. Thus, 124,750 $\Delta E$ data points
481 < are used in a regression of a single system type.  Results and
482 < discussion for the individual analysis of each of the system types
359 < appear in the supporting information, while the cumulative results
360 < over all the investigated systems appears below in section
361 < \ref{sec:EnergyResults}.
478 > Each system type (detailed in section \ref{sec:RepSims}) was
479 > represented using 500 independent configurations.  Additionally, we
480 > used seven different system types, so each of the alternate
481 > (non-Ewald) electrostatic summation methods was evaluated using
482 > 873,250 configurational energy differences.
483  
484 < \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
485 < Evaluation of the pairwise methods (outlined in section
486 < \ref{sec:ESMethods}) for use in MD simulations was performed through
487 < comparison of the force and torque vectors obtained with those from
367 < SPME.  Both the magnitude and the direction of these vectors on each
368 < of the bodies in the system were analyzed.  For the magnitude of these
369 < vectors, linear least squares regression analysis can be performed as
370 < described previously for comparing $\Delta E$ values. Instead of a
371 < single value between two system configurations, there is a value for
372 < each particle in each configuration.  For a system of 1000 water
373 < molecules and 40 ions, there are 1040 force vectors and 1000 torque
374 < vectors.  With 500 configurations, this results in 520,000 force and
375 < 500,000 torque vector comparisons samples for each system type.
484 > Results and discussion for the individual analysis of each of the
485 > system types appear in the supporting information, while the
486 > cumulative results over all the investigated systems appears below in
487 > section \ref{sec:EnergyResults}.
488  
489 < The force and torque vector directions were investigated through
490 < measurement of the angle ($\theta$) formed between those from the
491 < particular method and those from SPME
489 > \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
490 > We evaluated the pairwise methods (outlined in section
491 > \ref{sec:ESMethods}) for use in MD simulations by
492 > comparing the force and torque vectors with those obtained using the
493 > reference Ewald summation (SPME).  Both the magnitude and the
494 > direction of these vectors on each of the bodies in the system were
495 > analyzed.  For the magnitude of these vectors, linear least squares
496 > regression analyses were performed as described previously for
497 > comparing $\Delta E$ values.  Instead of a single energy difference
498 > between two system configurations, we compared the magnitudes of the
499 > forces (and torques) on each molecule in each configuration.  For a
500 > system of 1000 water molecules and 40 ions, there are 1040 force
501 > vectors and 1000 torque vectors.  With 500 configurations, this
502 > results in 520,000 force and 500,000 torque vector comparisons.
503 > Additionally, data from seven different system types was aggregated
504 > before the comparison was made.
505 >
506 > The {\it directionality} of the force and torque vectors was
507 > investigated through measurement of the angle ($\theta$) formed
508 > between those computed from the particular method and those from SPME,
509   \begin{equation}
510 < \theta_F = \frac{\vec{F}_\textrm{SPME}}{|\vec{F}_\textrm{SPME}|}\cdot\frac{\vec{F}_\textrm{Method}}{|\vec{F}_\textrm{Method}|}.
510 > \theta_f = \cos^{-1} \hat{f}_\textrm{SPME} \cdot \hat{f}_\textrm{Method},
511   \end{equation}
512 + where $\hat{f}_\textrm{M}$ is the unit vector pointing along the
513 + force vector computed using method $M$.  
514 +
515   Each of these $\theta$ values was accumulated in a distribution
516 < function, weighted by the area on the unit sphere.  Non-linear fits
517 < were used to measure the shape of the resulting distributions.
516 > function, weighted by the area on the unit sphere.  Non-linear
517 > Gaussian fits were used to measure the width of the resulting
518 > distributions.
519  
520   \begin{figure}
521   \centering
# Line 395 | Line 528 | Lorentzian.  Since this distribution is a measure of a
528   non-linear fits.  The solid line is a Gaussian profile, while the
529   dotted line is a Voigt profile, a convolution of a Gaussian and a
530   Lorentzian.  Since this distribution is a measure of angular error
531 < between two different electrostatic summation methods, there is
532 < particular reason for the profile to adhere to a specific shape.
533 < Because of this and the Gaussian profile's more statistically
534 < meaningful properties, Gaussian fits was used to compare all the
535 < tested methods.  The variance ($\sigma^2$) was extracted from each of
536 < these fits and was used to compare distribution widths.  Values of
537 < $\sigma^2$ near zero indicate vector directions indistinguishable from
405 < those calculated when using SPME.
531 > between two different electrostatic summation methods, there is no
532 > {\it a priori} reason for the profile to adhere to any specific shape.
533 > Gaussian fits was used to compare all the tested methods.  The
534 > variance ($\sigma^2$) was extracted from each of these fits and was
535 > used to compare distribution widths.  Values of $\sigma^2$ near zero
536 > indicate vector directions indistinguishable from those calculated
537 > when using the reference method (SPME).
538  
539 + \subsection{Short-time Dynamics}
540 +
541   \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
542   Evaluation of the long-time dynamics of charged systems was performed
543   by considering the NaCl crystal system while using a subset of the
# Line 472 | Line 606 | Electrostatic summation method comparisons were perfor
606  
607   \subsection{Electrostatic Summation Methods}\label{sec:ESMethods}
608   Electrostatic summation method comparisons were performed using SPME,
609 < the Shifted-Potential and Shifted-Force methods - both with damping
609 > the {\sc sp} and {\sc sf} methods - both with damping
610   parameters ($\alpha$) of 0.0, 0.1, 0.2, and 0.3 \AA$^{-1}$ (no, weak,
611   moderate, and strong damping respectively), reaction field with an
612   infinite dielectric constant, and an unmodified cutoff.  Group-based
# Line 491 | Line 625 | tolerance (typically less than $1 \times 10^{-4}$ kcal
625   the energies and forces calculated.  Typical molecular mechanics
626   packages default this to a value dependent on the cutoff radius and a
627   tolerance (typically less than $1 \times 10^{-4}$ kcal/mol).  Smaller
628 < tolerances are typically associated with increased accuracy in the
629 < real-space portion of the summation.\cite{Essmann95} The default
630 < TINKER tolerance of $1 \times 10^{-8}$ kcal/mol was used in all SPME
628 > tolerances are typically associated with increased accuracy, but this
629 > usually means more time spent calculating the reciprocal-space portion
630 > of the summation.\cite{Perram88,Essmann95} The default TINKER
631 > tolerance of $1 \times 10^{-8}$ kcal/mol was used in all SPME
632   calculations, resulting in Ewald Coefficients of 0.4200, 0.3119, and
633   0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\ respectively.
634  
# Line 535 | Line 670 | shown, but it has a detrimental effect on simulations
670   particularly with a cutoff radius greater than 12 \AA .  Use of a
671   larger damping parameter is more helpful for the shortest cutoff
672   shown, but it has a detrimental effect on simulations with larger
673 < cutoffs.  In the Shifted-Force sets, increasing damping results in
673 > cutoffs.  In the {\sc sf} sets, increasing damping results in
674   progressively poorer correlation.  Overall, the undamped case is the
675   best performing set, as the correlation and quality of fits are
676   consistently superior regardless of the cutoff distance.  This result
# Line 568 | Line 703 | a improvement much more significant than what was seen
703   in the previous $\Delta E$ section.  The unmodified cutoff results are
704   poor, but using group based cutoffs and a switching function provides
705   a improvement much more significant than what was seen with $\Delta
706 < E$.  Looking at the Shifted-Potential sets, the slope and $R^2$
706 > E$.  Looking at the {\sc sp} sets, the slope and $R^2$
707   improve with the use of damping to an optimal result of 0.2 \AA
708   $^{-1}$ for the 12 and 15 \AA\ cutoffs.  Further increases in damping,
709   while beneficial for simulations with a cutoff radius of 9 \AA\ , is
710   detrimental to simulations with larger cutoff radii.  The undamped
711 < Shifted-Force method gives forces in line with those obtained using
711 > {\sc sf} method gives forces in line with those obtained using
712   SPME, and use of a damping function results in minor improvement.  The
713   reaction field results are surprisingly good, considering the poor
714   quality of the fits for the $\Delta E$ results.  There is still a
# Line 596 | Line 731 | the improved behavior that comes with increasing the c
731   torque vector magnitude results in figure \ref{fig:trqMag} are still
732   similar to those seen for the forces; however, they more clearly show
733   the improved behavior that comes with increasing the cutoff radius.
734 < Moderate damping is beneficial to the Shifted-Potential and helpful
735 < yet possibly unnecessary with the Shifted-Force method, and they also
734 > Moderate damping is beneficial to the {\sc sp} and helpful
735 > yet possibly unnecessary with the {\sc sf} method, and they also
736   show that over-damping adversely effects all cutoff radii rather than
737   showing an improvement for systems with short cutoffs.  The reaction
738   field method performs well when calculating the torques, better than
# Line 626 | Line 761 | of the distribution widths, with a similar improvement
761   show the improvement afforded by choosing a longer simulation cutoff.
762   Increasing the cutoff from 9 to 12 \AA\ typically results in a halving
763   of the distribution widths, with a similar improvement going from 12
764 < to 15 \AA .  The undamped Shifted-Force, Group Based Cutoff, and
764 > to 15 \AA .  The undamped {\sc sf}, Group Based Cutoff, and
765   Reaction Field methods all do equivalently well at capturing the
766   direction of both the force and torque vectors.  Using damping
767 < improves the angular behavior significantly for the Shifted-Potential
768 < and moderately for the Shifted-Force methods.  Increasing the damping
767 > improves the angular behavior significantly for the {\sc sp}
768 > and moderately for the {\sc sf} methods.  Increasing the damping
769   too far is destructive for both methods, particularly to the torque
770   vectors.  Again it is important to recognize that the force vectors
771   cover all particles in the systems, while torque vectors are only
# Line 672 | Line 807 | Although not discussed previously, group based cutoffs
807   \end{table}
808  
809   Although not discussed previously, group based cutoffs can be applied
810 < to both the Shifted-Potential and Shifted-Force methods.  Use off a
810 > to both the {\sc sp} and {\sc sf} methods.  Use off a
811   switching function corrects for the discontinuities that arise when
812   atoms of a group exit the cutoff before the group's center of mass.
813   Though there are no significant benefit or drawbacks observed in
# Line 681 | Line 816 | results seen in figure \ref{fig:frcTrqAng} for compari
816   \ref{tab:groupAngle} shows the angular variance values obtained using
817   group based cutoffs and a switching function alongside the standard
818   results seen in figure \ref{fig:frcTrqAng} for comparison purposes.
819 < The Shifted-Potential shows much narrower angular distributions for
819 > The {\sc sp} shows much narrower angular distributions for
820   both the force and torque vectors when using an $\alpha$ of 0.2
821 < \AA$^{-1}$ or less, while Shifted-Force shows improvements in the
821 > \AA$^{-1}$ or less, while {\sc sf} shows improvements in the
822   undamped and lightly damped cases.  Thus, by calculating the
823   electrostatic interactions in terms of molecular pairs rather than
824   atomic pairs, the direction of the force and torque vectors are
825   determined more accurately.
826  
827   One additional trend to recognize in table \ref{tab:groupAngle} is
828 < that the $\sigma^2$ values for both Shifted-Potential and
829 < Shifted-Force converge as $\alpha$ increases, something that is easier
828 > that the $\sigma^2$ values for both {\sc sp} and
829 > {\sc sf} converge as $\alpha$ increases, something that is easier
830   to see when using group based cutoffs.  Looking back on figures
831   \ref{fig:delE}, \ref{fig:frcMag}, and \ref{fig:trqMag}, show this
832   behavior clearly at large $\alpha$ and cutoff values.  The reason for
# Line 710 | Line 845 | up to 0.2 \AA$^{-1}$ proves to be beneficial, but damp
845   high would introduce error in the molecular torques, particularly for
846   the shorter cutoffs.  Based on the above findings, empirical damping
847   up to 0.2 \AA$^{-1}$ proves to be beneficial, but damping is arguably
848 < unnecessary when using the Shifted-Force method.
848 > unnecessary when using the {\sc sf} method.
849  
850   \subsection{Collective Motion: Power Spectra of NaCl Crystals}
851  
852 < In the previous studies using a Shifted-Force variant of the damped
852 > In the previous studies using a {\sc sf} variant of the damped
853   Wolf coulomb potential, the structure and dynamics of water were
854   investigated rather extensively.\cite{Zahn02,Kast03} Their results
855 < indicated that the damped Shifted-Force method results in properties
855 > indicated that the damped {\sc sf} method results in properties
856   very similar to those obtained when using the Ewald summation.
857   Considering the statistical results shown above, the good performance
858   of this method is not that surprising.  Rather than consider the same
# Line 728 | Line 863 | summation methods from the above results.
863   \begin{figure}
864   \centering
865   \includegraphics[width = \linewidth]{./spectraSquare.pdf}
866 < \caption{Power spectra obtained from the velocity auto-correlation functions of NaCl crystals at 1000 K while using SPME, Shifted-Force ($\alpha$ = 0, 0.1, \& 0.2), and Shifted-Potential ($\alpha$ = 0.2).  Apodization of the correlation functions via a cubic switching function between 40 and 50 ps was used to clear up the spectral noise resulting from data truncation, and had no noticeable effect on peak location or magnitude.  The inset shows the frequency region below 100 cm$^{-1}$ to highlight where the spectra begin to differ.}
866 > \caption{Power spectra obtained from the velocity auto-correlation functions of NaCl crystals at 1000 K while using SPME, {\sc sf} ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  Apodization of the correlation functions via a cubic switching function between 40 and 50 ps was used to clear up the spectral noise resulting from data truncation, and had no noticeable effect on peak location or magnitude.  The inset shows the frequency region below 100 cm$^{-1}$ to highlight where the spectra begin to differ.}
867   \label{fig:methodPS}
868   \end{figure}
869  
# Line 740 | Line 875 | cm$^{-1}$, the correlated motions are blue-shifted whe
875   methods differ.  Considering the low-frequency inset (expanded in the
876   upper frame of figure \ref{fig:dampInc}), at frequencies below 100
877   cm$^{-1}$, the correlated motions are blue-shifted when using undamped
878 < or weakly damped Shifted-Force.  When using moderate damping ($\alpha
879 < = 0.2$ \AA$^{-1}$) both the Shifted-Force and Shifted-Potential
878 > or weakly damped {\sc sf}.  When using moderate damping ($\alpha
879 > = 0.2$ \AA$^{-1}$) both the {\sc sf} and {\sc sp}
880   methods give near identical correlated motion behavior as the Ewald
881   method (which has a damping value of 0.3119).  The damping acts as a
882   distance dependent Gaussian screening of the point charges for the
# Line 752 | Line 887 | electrostatic potential,
887   clearly, we show how damping strength affects a simple real-space
888   electrostatic potential,
889   \begin{equation}
890 < V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r_{ij}})}{r_{ij}}\right]S(r),
890 > V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r})}{r}\right]S(r),
891   \end{equation}
892   where $S(r)$ is a switching function that smoothly zeroes the
893   potential at the cutoff radius.  Figure \ref{fig:dampInc} shows how
# Line 765 | Line 900 | blue-shifted such that the lowest frequency peak resid
900   shift to higher frequency in exponential fashion.  Though not shown,
901   the spectrum for the simple undamped electrostatic potential is
902   blue-shifted such that the lowest frequency peak resides near 325
903 < cm$^{-1}$.  In light of these results, the undamped Shifted-Force
903 > cm$^{-1}$.  In light of these results, the undamped {\sc sf}
904   method producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is
905   quite respectable; however, it appears as though moderate damping is
906   required for accurate reproduction of crystal dynamics.
907   \begin{figure}
908   \centering
909   \includegraphics[width = \linewidth]{./comboSquare.pdf}
910 < \caption{Upper: Zoomed inset from figure \ref{fig:methodPS}.  As the damping value for the Shifted-Force potential increases, the low-frequency peaks red-shift.  Lower: Low-frequency correlated motions for NaCl crystals at 1000 K when using SPME and a simple damped Coulombic sum with damping coefficients ($\alpha$) ranging from 0.15 to 0.3 \AA$^{-1}$.  As $\alpha$ increases, the peaks are red-shifted toward and eventually beyond the values given by SPME.  The larger $\alpha$ values weaken the real-space electrostatics, explaining this shift towards less strongly correlated motions in the crystal.}
910 > \caption{Regions of spectra showing the low-frequency correlated motions for NaCl crystals at 1000 K using various electrostatic summation methods.  The upper plot is a zoomed inset from figure \ref{fig:methodPS}.  As the damping value for the {\sc sf} potential increases, the low-frequency peaks red-shift.  The lower plot is of spectra when using SPME and a simple damped Coulombic sum with damping coefficients ($\alpha$) ranging from 0.15 to 0.3 \AA$^{-1}$.  As $\alpha$ increases, the peaks are red-shifted toward and eventually beyond the values given by SPME.  The larger $\alpha$ values weaken the real-space electrostatics, explaining this shift towards less strongly correlated motions in the crystal.}
911   \label{fig:dampInc}
912   \end{figure}
913  
# Line 783 | Line 918 | Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular
918   electrostatic summation techniques than the Ewald summation, chiefly
919   methods derived from the damped Coulombic sum originally proposed by
920   Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular, the
921 < Shifted-Force method, reformulated above as equation \ref{eq:SFPot},
921 > {\sc sf} method, reformulated above as eq. (\ref{eq:DSFPot}),
922   shows a remarkable ability to reproduce the energetic and dynamic
923   characteristics exhibited by simulations employing lattice summation
924   techniques.  The cumulative energy difference results showed the
925 < undamped Shifted-Force and moderately damped Shifted-Potential methods
925 > undamped {\sc sf} and moderately damped {\sc sp} methods
926   produced results nearly identical to SPME.  Similarly for the dynamic
927 < features, the undamped or moderately damped Shifted-Force and
928 < moderately damped Shifted-Potential methods produce force and torque
927 > features, the undamped or moderately damped {\sc sf} and
928 > moderately damped {\sc sp} methods produce force and torque
929   vector magnitude and directions very similar to the expected values.
930   These results translate into long-time dynamic behavior equivalent to
931   that produced in simulations using SPME.

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