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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}{(2\epsilon_\textrm{S}+1)L^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$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and equal
113 + $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
114 + constant of the encompassing medium. The final two terms of
115 + eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
116 + for interacting with a surrounding dielectric.\cite{Allen87} This
117 + dipolar term was neglected in early applications in molecular
118 + simulations,\cite{Brush66,Woodcock71} until it was introduced by de
119 + Leeuw {\it et al.} to address situations where the unit cell has a
120 + dipole moment and this dipole moment gets magnified through
121 + replication of the periodic images.\cite{deLeeuw80,Smith81} If this
122 + term is taken to be zero, the system is using conducting boundary
123 + conditions, $\epsilon_{\rm S} = \infty$. Figure
124 + \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
125 + time.  Initially, due to the small size of systems, the entire
126 + simulation box was replicated to convergence.  Currently, we balance a
127 + spherical real-space cutoff with the reciprocal sum and consider the
128 + surrounding dielectric.
129   \begin{figure}
130   \centering
131   \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
# Line 96 | Line 139 | a surrounding dielectric term is included.}
139   \label{fig:ewaldTime}
140   \end{figure}
141  
142 + The Ewald summation in the straight-forward form is an
143 + $\mathscr{O}(N^2)$ algorithm.  The separation constant $(\alpha)$
144 + plays an important role in the computational cost balance between the
145 + direct and reciprocal-space portions of the summation.  The choice of
146 + the magnitude of this value allows one to select whether the
147 + real-space or reciprocal space portion of the summation is an
148 + $\mathscr{O}(N^2)$ calcualtion (with the other being
149 + $\mathscr{O}(N)$).\cite{Sagui99} With appropriate choice of $\alpha$
150 + and thoughtful algorithm development, this cost can be brought down to
151 + $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route taken to
152 + reduce the cost of the Ewald summation further is to set $\alpha$ such
153 + that the real-space interactions decay rapidly, allowing for a short
154 + spherical cutoff, and then optimize the reciprocal space summation.
155 + These optimizations usually involve the utilization of the fast
156 + Fourier transform (FFT),\cite{Hockney81} leading to the
157 + particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
158 + methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
159 + methods, the cost of the reciprocal-space portion of the Ewald
160 + summation is from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N \log N)$.
161 +
162 + These developments and optimizations have led the use of the Ewald
163 + summation to become routine in simulations with periodic boundary
164 + conditions. However, in certain systems the intrinsic three
165 + dimensional periodicity can prove to be problematic, such as two
166 + dimensional surfaces and membranes.  The Ewald sum has been
167 + reformulated to handle 2D
168 + systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the new
169 + methods have been found to be computationally
170 + expensive.\cite{Spohr97,Yeh99} Inclusion of a correction term in the
171 + full Ewald summation is a possible direction for enabling the handling
172 + of 2D systems and the inclusion of the optimizations described
173 + previously.\cite{Yeh99}
174 +
175 + Several studies have recognized that the inherent periodicity in the
176 + Ewald sum can also have an effect on systems that have the same
177 + dimensionality.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
178 + Good examples are solvated proteins kept at high relative
179 + concentration due to the periodicity of the electrostatics.  In these
180 + systems, the more compact folded states of a protein can be
181 + artificially stabilized by the periodic replicas introduced by the
182 + Ewald summation.\cite{Weber00} Thus, care ought to be taken when
183 + considering the use of the Ewald summation where the intrinsic
184 + perodicity may negatively affect the system dynamics.
185 +
186 +
187   \subsection{The Wolf and Zahn Methods}
188   In a recent paper by Wolf \textit{et al.}, a procedure was outlined
189 < for an accurate accumulation of electrostatic interactions in an
190 < efficient pairwise fashion.\cite{Wolf99} Wolf \textit{et al.} observed
191 < that the electrostatic interaction is effectively short-ranged in
192 < condensed phase systems and that neutralization of the charge
193 < contained within the cutoff radius is crucial for potential
194 < stability. They devised a pairwise summation method that ensures
195 < charge neutrality and gives results similar to those obtained with
196 < the Ewald summation.  The resulting shifted Coulomb potential
197 < (Eq. \ref{eq:WolfPot}) includes image-charges subtracted out through
198 < placement on the cutoff sphere and a distance-dependent damping
199 < function (identical to that seen in the real-space portion of the
200 < Ewald sum) to aid convergence
189 > for the accurate accumulation of electrostatic interactions in an
190 > efficient pairwise fashion and lacks the inherent periodicity of the
191 > Ewald summation.\cite{Wolf99} Wolf \textit{et al.} observed that the
192 > electrostatic interaction is effectively short-ranged in condensed
193 > phase systems and that neutralization of the charge contained within
194 > the cutoff radius is crucial for potential stability. They devised a
195 > pairwise summation method that ensures charge neutrality and gives
196 > results similar to those obtained with the Ewald summation.  The
197 > resulting shifted Coulomb potential (Eq. \ref{eq:WolfPot}) includes
198 > image-charges subtracted out through placement on the cutoff sphere
199 > and a distance-dependent damping function (identical to that seen in
200 > the real-space portion of the Ewald sum) to aid convergence
201   \begin{equation}
202 < 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\}.
202 > 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\}.
203   \label{eq:WolfPot}
204   \end{equation}
205   Eq. (\ref{eq:WolfPot}) is essentially the common form of a shifted
206   potential.  However, neutralizing the charge contained within each
207   cutoff sphere requires the placement of a self-image charge on the
208   surface of the cutoff sphere.  This additional self-term in the total
209 < potential enables Wolf {\it et al.}  to obtain excellent estimates of
209 > potential enabled Wolf {\it et al.}  to obtain excellent estimates of
210   Madelung energies for many crystals.
211  
212   In order to use their charge-neutralized potential in molecular
# Line 126 | Line 214 | procedure gives an expression for the forces,
214   derivative of this potential prior to evaluation of the limit.  This
215   procedure gives an expression for the forces,
216   \begin{equation}
217 < 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\},
217 > 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\},
218   \label{eq:WolfForces}
219   \end{equation}
220   that incorporates both image charges and damping of the electrostatic
# Line 134 | Line 222 | force expressions for use in simulations involving wat
222  
223   More recently, Zahn \textit{et al.} investigated these potential and
224   force expressions for use in simulations involving water.\cite{Zahn02}
225 < In their work, they pointed out that the method that the forces and
226 < derivative of the potential are not commensurate.  Attempts to use
227 < both Eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will
228 < lead to poor energy conservation.  They correctly observed that taking
229 < the limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating
230 < the derivatives is mathematically invalid.
225 > In their work, they pointed out that the forces and derivative of
226 > the potential are not commensurate.  Attempts to use both
227 > Eqs. (\ref{eq:WolfPot}) and (\ref{eq:WolfForces}) together will lead
228 > to poor energy conservation.  They correctly observed that taking the
229 > limit shown in equation (\ref{eq:WolfPot}) {\it after} calculating the
230 > derivatives gives forces for a different potential energy function
231 > than the one shown in Eq. (\ref{eq:WolfPot}).
232  
233   Zahn \textit{et al.} proposed a modified form of this ``Wolf summation
234   method'' as a way to use this technique in Molecular Dynamics
# Line 147 | Line 236 | potential,
236   \ref{eq:WolfForces}, they proposed a new damped Coulomb
237   potential,
238   \begin{equation}
239 < 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\}.
239 > 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\}.
240   \label{eq:ZahnPot}
241   \end{equation}
242   They showed that this potential does fairly well at capturing the
# Line 158 | Line 247 | al.} are constructed using two different (and separabl
247  
248   The potentials proposed by Wolf \textit{et al.} and Zahn \textit{et
249   al.} are constructed using two different (and separable) computational
250 < tricks: \begin{itemize}
250 > tricks: \begin{enumerate}
251   \item shifting through the use of image charges, and
252   \item damping the electrostatic interaction.
253 < \end{itemize}  Wolf \textit{et al.} treated the
253 > \end{enumerate}  Wolf \textit{et al.} treated the
254   development of their summation method as a progressive application of
255   these techniques,\cite{Wolf99} while Zahn \textit{et al.} founded
256   their damped Coulomb modification (Eq. (\ref{eq:ZahnPot})) on the
# Line 181 | Line 270 | shifted potential,
270   \textit{et al.}  and Zahn \textit{et al.} by considering the standard
271   shifted potential,
272   \begin{equation}
273 < v^\textrm{SP}(r) =      \begin{cases}
273 > v_\textrm{SP}(r) =      \begin{cases}
274   v(r)-v_\textrm{c} &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r >
275   R_\textrm{c}  
276   \end{cases},
# Line 189 | Line 278 | and shifted force,
278   \end{equation}
279   and shifted force,
280   \begin{equation}
281 < v^\textrm{SF}(r) =      \begin{cases}
282 < v(r)-v_\textrm{c}-\left(\frac{\textrm{d}v(r)}{\textrm{d}r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
281 > v_\textrm{SF}(r) =      \begin{cases}
282 > v(r)-v_\textrm{c}-\left(\frac{d v(r)}{d r}\right)_{r=R_\textrm{c}}(r-R_\textrm{c})
283   &\quad r\leqslant R_\textrm{c} \\ 0 &\quad r > R_\textrm{c}
284                                                  \end{cases},
285   \label{eq:shiftingForm}
# Line 202 | Line 291 | potential is smooth at the cutoff radius
291   potential is smooth at the cutoff radius
292   ($R_\textrm{c}$).\cite{Allen87}
293  
294 <
295 <
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}
294 > The forces associated with the shifted potential are simply the forces
295 > of the unshifted potential itself (when inside the cutoff sphere),
296   \begin{equation}
297 < 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}
297 > f_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
298   \end{equation}
299 < The forces associated with this potential are obtained by taking the derivative, resulting in the following,
299 > and are zero outside.  Inside the cutoff sphere, the forces associated
300 > with the shifted force form can be written,
301   \begin{equation}
302 < F^\textrm{SP}(r_{ij}) = q_iq_j\left(-\frac{1}{r_{ij}^2}\right) \quad r_{ij}\leqslant R_\textrm{c}.
303 < \label{eq:FWolfSP}
302 > f_{\textrm{SF}} = -\left( \frac{d v(r)}{dr} \right) + \left(\frac{d
303 > v(r)}{dr} \right)_{r=R_\textrm{c}}.
304   \end{equation}
305 < 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 $R_\textrm{c}$.  
306 <
219 < If the derivative term in equation \ref{eq:shiftingForm} is evaluated, we obtain an hitherto undiscussed shifted force Coulomb potential,
305 >
306 > If the potential ($v(r)$) is taken to be the normal Coulomb potential,
307   \begin{equation}
308 < 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}.
309 < \label{eq:SFPot}
308 > v(r) = \frac{q_i q_j}{r},
309 > \label{eq:Coulomb}
310   \end{equation}
311 < Taking the derivative of this shifted force potential gives the
312 < following forces,
311 > then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
312 > al.}'s undamped prescription:
313   \begin{equation}
314 < 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}.
314 > v_\textrm{SP}(r) =
315 > q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad
316 > r\leqslant R_\textrm{c},
317 > \label{eq:SPPot}
318 > \end{equation}
319 > with associated forces,
320 > \begin{equation}
321 > f_\textrm{SP}(r) = q_iq_j\left(\frac{1}{r^2}\right) \quad r\leqslant R_\textrm{c}.
322 > \label{eq:SPForces}
323 > \end{equation}
324 > These forces are identical to the forces of the standard Coulomb
325 > interaction, and cutting these off at $R_c$ was addressed by Wolf
326 > \textit{et al.} as undesirable.  They pointed out that the effect of
327 > the image charges is neglected in the forces when this form is
328 > used,\cite{Wolf99} thereby eliminating any benefit from the method in
329 > molecular dynamics.  Additionally, there is a discontinuity in the
330 > forces at the cutoff radius which results in energy drift during MD
331 > simulations.
332 >
333 > The shifted force ({\sc sf}) form using the normal Coulomb potential
334 > will give,
335 > \begin{equation}
336 > 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}.
337 > \label{eq:SFPot}
338 > \end{equation}
339 > with associated forces,
340 > \begin{equation}
341 > 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}.
342   \label{eq:SFForces}
343   \end{equation}
344 < Using this formulation rather than the simple shifted potential
345 < (Eq. \ref{eq:WolfSP}) means that there are no discontinuities in the
346 < forces in addition to the potential.  This form also has the benefit
347 < that the image charges have a force presence, addressing the concerns
348 < about a missing physical component.  One side effect of this treatment
349 < is a slight alteration in the shape of the potential that comes about
350 < from the derivative term.  Thus, a degree of clarity about the
351 < original formulation of the potential is lost in order to gain
352 < functionality in dynamics simulations.
344 > This formulation has the benefits that there are no discontinuities at
345 > the cutoff distance, while the neutralizing image charges are present
346 > in both the energy and force expressions.  It would be simple to add
347 > the self-neutralizing term back when computing the total energy of the
348 > system, thereby maintaining the agreement with the Madelung energies.
349 > A side effect of this treatment is the alteration in the shape of the
350 > potential that comes from the derivative term.  Thus, a degree of
351 > clarity about agreement with the empirical potential is lost in order
352 > to gain functionality in dynamics simulations.
353  
354   Wolf \textit{et al.} originally discussed the energetics of the
355 < shifted Coulomb potential (Eq. \ref{eq:WolfSP}), and they found that
356 < it was still insufficient for accurate determination of the energy.
357 < The energy would fluctuate around the expected value with increasing
358 < cutoff radius, but the oscillations appeared to be converging toward
359 < the correct value.\cite{Wolf99} A damping function was incorporated to
360 < accelerate convergence; and though alternative functional forms could
361 < be used,\cite{Jones56,Heyes81} the complimentary error function was
362 < chosen to draw parallels to the Ewald summation.  Incorporating
363 < damping into the simple Coulomb potential,
355 > shifted Coulomb potential (Eq. \ref{eq:SPPot}), and they found that
356 > it was still insufficient for accurate determination of the energy
357 > with reasonable cutoff distances.  The calculated Madelung energies
358 > fluctuate around the expected value with increasing cutoff radius, but
359 > the oscillations converge toward the correct value.\cite{Wolf99} A
360 > damping function was incorporated to accelerate the convergence; and
361 > though alternative functional forms could be
362 > used,\cite{Jones56,Heyes81} the complimentary error function was
363 > chosen to mirror the effective screening used in the Ewald summation.
364 > Incorporating this error function damping into the simple Coulomb
365 > potential,
366   \begin{equation}
367 < v(r_{ij}) = \frac{\mathrm{erfc}\left(\alpha r_{ij}\right)}{r_{ij}},
367 > v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
368   \label{eq:dampCoulomb}
369   \end{equation}
370 < the shifted potential (Eq. \ref{eq:WolfSP}) can be rederived
371 < \textit{via} equation \ref{eq:shiftingForm},
370 > the shifted potential (Eq. (\ref{eq:SPPot})) can be reacquired using
371 > eq. (\ref{eq:shiftingForm}),
372   \begin{equation}
373 < 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}.
373 > 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},
374   \label{eq:DSPPot}
375   \end{equation}
376 < The derivative of this Shifted-Potential can be taken to obtain forces
261 < for use in MD,
376 > with associated forces,
377   \begin{equation}
378 < 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}.
378 > 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}.
379   \label{eq:DSPForces}
380   \end{equation}
381 < Again, this Shifted-Potential suffers from a discontinuity in the
382 < forces, and a lack of an image-charge component in the forces.  To
383 < remedy these concerns, a Shifted-Force variant is obtained by
384 < inclusion of the derivative term in equation \ref{eq:shiftingForm} to
270 < give,
381 > Again, this damped shifted potential suffers from a discontinuity and
382 > a lack of the image charges in the forces.  To remedy these concerns,
383 > one may derive a {\sc sf} variant by including  the derivative
384 > term in eq. (\ref{eq:shiftingForm}),
385   \begin{equation}
386   \begin{split}
387 < 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}.
387 > 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}.
388   \label{eq:DSFPot}
389   \end{split}
390   \end{equation}
391 < The derivative of the above potential gives the following forces,
391 > The derivative of the above potential will lead to the following forces,
392   \begin{equation}
393   \begin{split}
394 < 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}.
394 > 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}.
395   \label{eq:DSFForces}
396   \end{split}
397   \end{equation}
398 + If the damping parameter $(\alpha)$ is chosen to be zero, the undamped
399 + case, eqs. (\ref{eq:SPPot}-\ref{eq:SFForces}) are correctly recovered
400 + from eqs. (\ref{eq:DSPPot}-\ref{eq:DSFForces}).
401  
402 < This new Shifted-Force potential is similar to equation
403 < \ref{eq:ZahnPot} derived by Zahn \textit{et al.}; however, there are
404 < two important differences.\cite{Zahn02} First, the $v_\textrm{c}$ term
405 < from equation \ref{eq:shiftingForm} is equal to equation
406 < \ref{eq:dampCoulomb} with $R_\textrm{c}$ supplied for $r_{ij}$.  This
407 < term is not present in the Zahn potential, resulting in a
408 < discontinuity as particles cross $R_\textrm{c}$.  Second, the sign of
409 < the derivative portion is different.  The constant $v_\textrm{c}$ term
410 < is not going to have a presence in the forces after performing the
411 < derivative, but the negative sign does effect the derivative.  In
412 < fact, it introduces a discontinuity in the forces at the cutoff,
413 < because the force function is shifted in the wrong direction and
414 < doesn't cross zero at $R_\textrm{c}$.  Thus, these alterations make
415 < 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}
402 > This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot}
403 > derived by Zahn \textit{et al.}; however, there are two important
404 > differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from
405 > eq. (\ref{eq:shiftingForm}) is equal to eq. (\ref{eq:dampCoulomb})
406 > with $r$ replaced by $R_\textrm{c}$.  This term is {\it not} present
407 > in the Zahn potential, resulting in a potential discontinuity as
408 > particles cross $R_\textrm{c}$.  Second, the sign of the derivative
409 > portion is different.  The missing $v_\textrm{c}$ term would not
410 > affect molecular dynamics simulations (although the computed energy
411 > would be expected to have sudden jumps as particle distances crossed
412 > $R_c$).  The sign problem would be a potential source of errors,
413 > however.  In fact, it introduces a discontinuity in the forces at the
414 > cutoff, because the force function is shifted in the wrong direction
415 > and doesn't cross zero at $R_\textrm{c}$.
416  
417 + Eqs. (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an
418 + electrostatic summation method that is continuous in both the
419 + potential and forces and which incorporates the damping function
420 + proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of this
421 + paper, we will evaluate exactly how good these methods ({\sc sp}, {\sc
422 + sf}, damping) are at reproducing the correct electrostatic summation
423 + performed by the Ewald sum.
424 +
425 + \subsection{Other alternatives}
426 + In addition to the methods described above, we will consider some
427 + other techniques that commonly get used in molecular simulations.  The
428 + simplest of these is group-based cutoffs.  Though of little use for
429 + non-neutral molecules, collecting atoms into neutral groups takes
430 + advantage of the observation that the electrostatic interactions decay
431 + faster than those for monopolar pairs.\cite{Steinbach94} When
432 + considering these molecules as groups, an orientational aspect is
433 + introduced to the interactions.  Consequently, as these molecular
434 + particles move through $R_\textrm{c}$, the energy will drift upward
435 + due to the anisotropy of the net molecular dipole
436 + interactions.\cite{Rahman71} To maintain good energy conservation,
437 + both the potential and derivative need to be smoothly switched to zero
438 + at $R_\textrm{c}$.\cite{Adams79} This is accomplished using a
439 + switching function,
440 + \begin{equation}
441 + S(r) = \begin{cases} 1 &\quad r\leqslant r_\textrm{sw} \\
442 + \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} \\
443 + 0 &\quad r>R_\textrm{c}
444 + \end{cases},
445 + \end{equation}
446 + where the above form is for a cubic function.  If a smooth second
447 + derivative is desired, a fifth (or higher) order polynomial can be
448 + used.\cite{Andrea83}
449 +
450 + Group-based cutoffs neglect the surroundings beyond $R_\textrm{c}$,
451 + and to incorporate their effect, a method like Reaction Field ({\sc
452 + rf}) can be used.  The original theory for {\sc rf} was originally
453 + developed by Onsager,\cite{Onsager36} and it was applied in
454 + simulations for the study of water by Barker and Watts.\cite{Barker73}
455 + In application, it is simply an extension of the group-based cutoff
456 + method where the net dipole within the cutoff sphere polarizes an
457 + external dielectric, which reacts back on the central dipole.  The
458 + same switching function considerations for group-based cutoffs need to
459 + made for {\sc rf}, with the additional pre-specification of a
460 + dielectric constant.
461 +
462   \section{Methods}
463  
304 \subsection{What Qualities are Important?}\label{sec:Qualities}
464   In classical molecular mechanics simulations, there are two primary
465   techniques utilized to obtain information about the system of
466   interest: Monte Carlo (MC) and Molecular Dynamics (MD).  Both of these
# Line 310 | Line 469 | configurations dictates the progression of MC sampling
469  
470   In MC, the potential energy difference between two subsequent
471   configurations dictates the progression of MC sampling.  Going back to
472 < the origins of this method, the Canonical ensemble acceptance criteria
473 < laid out by Metropolis \textit{et al.} states that a subsequent
474 < configuration is accepted if $\Delta E < 0$ or if $\xi < \exp(-\Delta
475 < E/kT)$, where $\xi$ is a random number between 0 and
476 < 1.\cite{Metropolis53} Maintaining a consistent $\Delta E$ when using
477 < an alternate method for handling the long-range electrostatics ensures
478 < proper sampling within the ensemble.
472 > the origins of this method, the acceptance criterion for the canonical
473 > ensemble laid out by Metropolis \textit{et al.} states that a
474 > subsequent configuration is accepted if $\Delta E < 0$ or if $\xi <
475 > \exp(-\Delta E/kT)$, where $\xi$ is a random number between 0 and
476 > 1.\cite{Metropolis53} Maintaining the correct $\Delta E$ when using an
477 > alternate method for handling the long-range electrostatics will
478 > ensure proper sampling from the ensemble.
479  
480 < In MD, the derivative of the potential directs how the system will
480 > In MD, the derivative of the potential governs how the system will
481   progress in time.  Consequently, the force and torque vectors on each
482 < body in the system dictate how it develops as a whole.  If the
483 < magnitude and direction of these vectors are similar when using
484 < alternate electrostatic summation techniques, the dynamics in the near
485 < term will be indistinguishable.  Because error in MD calculations is
486 < cumulative, one should expect greater deviation in the long term
487 < trajectories with greater differences in these vectors between
488 < configurations using different long-range electrostatics.
482 > body in the system dictate how the system evolves.  If the magnitude
483 > and direction of these vectors are similar when using alternate
484 > electrostatic summation techniques, the dynamics in the short term
485 > will be indistinguishable.  Because error in MD calculations is
486 > cumulative, one should expect greater deviation at longer times,
487 > although methods which have large differences in the force and torque
488 > vectors will diverge from each other more rapidly.
489  
490   \subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods}
491 < Evaluation of the pairwise summation techniques (outlined in section
492 < \ref{sec:ESMethods}) for use in MC simulations was performed through
493 < study of the energy differences between conformations.  Considering
494 < the SPME results to be the correct or desired behavior, ideal
495 < performance of a tested method was taken to be agreement between the
496 < energy differences calculated.  Linear least squares regression of the
497 < $\Delta E$ values between configurations using SPME against $\Delta E$
498 < values using tested methods provides a quantitative comparison of this
499 < agreement.  Unitary results for both the correlation and correlation
500 < coefficient for these regressions indicate equivalent energetic
501 < results between the methods.  The correlation is the slope of the
502 < plotted data while the correlation coefficient ($R^2$) is a measure of
503 < the of the data scatter around the fitted line and tells about the
504 < quality of the fit (Fig. \ref{fig:linearFit}).
491 > The pairwise summation techniques (outlined in section
492 > \ref{sec:ESMethods}) were evaluated for use in MC simulations by
493 > studying the energy differences between conformations.  We took the
494 > SPME-computed energy difference between two conformations to be the
495 > correct behavior. An ideal performance by an alternative method would
496 > reproduce these energy differences exactly.  Since none of the methods
497 > provide exact energy differences, we used linear least squares
498 > regressions of the $\Delta E$ values between configurations using SPME
499 > against $\Delta E$ values using tested methods provides a quantitative
500 > comparison of this agreement.  Unitary results for both the
501 > correlation and correlation coefficient for these regressions indicate
502 > equivalent energetic results between the method under consideration
503 > and electrostatics handled using SPME.  Sample correlation plots for
504 > two alternate methods are shown in Fig. \ref{fig:linearFit}.
505  
506   \begin{figure}
507   \centering
# Line 351 | Line 510 | quality of the fit (Fig. \ref{fig:linearFit}).
510   \label{fig:linearFit}
511   \end{figure}
512  
513 < Each system type (detailed in section \ref{sec:RepSims}) studied
514 < consisted of 500 independent configurations, each equilibrated from
515 < higher temperature trajectories. Thus, 124,750 $\Delta E$ data points
516 < are used in a regression of a single system type.  Results and
517 < 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}.
513 > Each system type (detailed in section \ref{sec:RepSims}) was
514 > represented using 500 independent configurations.  Additionally, we
515 > used seven different system types, so each of the alternate
516 > (non-Ewald) electrostatic summation methods was evaluated using
517 > 873,250 configurational energy differences.
518  
519 + Results and discussion for the individual analysis of each of the
520 + system types appear in the supporting information, while the
521 + cumulative results over all the investigated systems appears below in
522 + section \ref{sec:EnergyResults}.
523 +
524   \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
525 < Evaluation of the pairwise methods (outlined in section
526 < \ref{sec:ESMethods}) for use in MD simulations was performed through
527 < comparison of the force and torque vectors obtained with those from
528 < SPME.  Both the magnitude and the direction of these vectors on each
529 < of the bodies in the system were analyzed.  For the magnitude of these
530 < vectors, linear least squares regression analysis can be performed as
531 < described previously for comparing $\Delta E$ values. Instead of a
532 < single value between two system configurations, there is a value for
533 < each particle in each configuration.  For a system of 1000 water
534 < molecules and 40 ions, there are 1040 force vectors and 1000 torque
535 < vectors.  With 500 configurations, this results in 520,000 force and
536 < 500,000 torque vector comparisons samples for each system type.
525 > We evaluated the pairwise methods (outlined in section
526 > \ref{sec:ESMethods}) for use in MD simulations by
527 > comparing the force and torque vectors with those obtained using the
528 > reference Ewald summation (SPME).  Both the magnitude and the
529 > direction of these vectors on each of the bodies in the system were
530 > analyzed.  For the magnitude of these vectors, linear least squares
531 > regression analyses were performed as described previously for
532 > comparing $\Delta E$ values.  Instead of a single energy difference
533 > between two system configurations, we compared the magnitudes of the
534 > forces (and torques) on each molecule in each configuration.  For a
535 > system of 1000 water molecules and 40 ions, there are 1040 force
536 > vectors and 1000 torque vectors.  With 500 configurations, this
537 > results in 520,000 force and 500,000 torque vector comparisons.
538 > Additionally, data from seven different system types was aggregated
539 > before the comparison was made.
540  
541 < The force and torque vector directions were investigated through
542 < measurement of the angle ($\theta$) formed between those from the
543 < particular method and those from SPME
541 > The {\it directionality} of the force and torque vectors was
542 > investigated through measurement of the angle ($\theta$) formed
543 > between those computed from the particular method and those from SPME,
544   \begin{equation}
545 < \theta_F = \frac{\vec{F}_\textrm{SPME}}{|\vec{F}_\textrm{SPME}|}\cdot\frac{\vec{F}_\textrm{Method}}{|\vec{F}_\textrm{Method}|}.
545 > \theta_f = \cos^{-1} \hat{f}_\textrm{SPME} \cdot \hat{f}_\textrm{Method},
546   \end{equation}
547 + where $\hat{f}_\textrm{M}$ is the unit vector pointing along the
548 + force vector computed using method $M$.  
549 +
550   Each of these $\theta$ values was accumulated in a distribution
551 < function, weighted by the area on the unit sphere.  Non-linear fits
552 < were used to measure the shape of the resulting distributions.
551 > function, weighted by the area on the unit sphere.  Non-linear
552 > Gaussian fits were used to measure the width of the resulting
553 > distributions.
554  
555   \begin{figure}
556   \centering
# Line 395 | Line 563 | Lorentzian.  Since this distribution is a measure of a
563   non-linear fits.  The solid line is a Gaussian profile, while the
564   dotted line is a Voigt profile, a convolution of a Gaussian and a
565   Lorentzian.  Since this distribution is a measure of angular error
566 < between two different electrostatic summation methods, there is
567 < particular reason for the profile to adhere to a specific shape.
568 < Because of this and the Gaussian profile's more statistically
569 < meaningful properties, Gaussian fits was used to compare all the
570 < tested methods.  The variance ($\sigma^2$) was extracted from each of
571 < these fits and was used to compare distribution widths.  Values of
572 < $\sigma^2$ near zero indicate vector directions indistinguishable from
405 < those calculated when using SPME.
566 > between two different electrostatic summation methods, there is no
567 > {\it a priori} reason for the profile to adhere to any specific shape.
568 > Gaussian fits was used to compare all the tested methods.  The
569 > variance ($\sigma^2$) was extracted from each of these fits and was
570 > used to compare distribution widths.  Values of $\sigma^2$ near zero
571 > indicate vector directions indistinguishable from those calculated
572 > when using the reference method (SPME).
573  
574 < \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
575 < Evaluation of the long-time dynamics of charged systems was performed
576 < by considering the NaCl crystal system while using a subset of the
574 > \subsection{Short-time Dynamics}
575 > Evaluation of the short-time dynamics of charged systems was performed
576 > by considering the 1000 K NaCl crystal system while using a subset of the
577   best performing pairwise methods.  The NaCl crystal was chosen to
578   avoid possible complications involving the propagation techniques of
579 < orientational motion in molecular systems.  To enhance the atomic
580 < motion, these crystals were equilibrated at 1000 K, near the
581 < experimental $T_m$ for NaCl.  Simulations were performed under the
582 < microcanonical ensemble, and velocity autocorrelation functions
583 < (Eq. \ref{eq:vCorr}) were computed for each of the trajectories,
579 > orientational motion in molecular systems.  All systems were started
580 > with the same initial positions and velocities.  Simulations were
581 > performed under the microcanonical ensemble, and velocity
582 > autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
583 > of the trajectories,
584   \begin{equation}
585 < C_v(t) = \langle v_i(0)\cdot v_i(t)\rangle.
585 > C_v(t) = \frac{\langle v_i(0)\cdot v_i(t)\rangle}{\langle v_i(0)\cdot v_i(0)\rangle}.
586   \label{eq:vCorr}
587   \end{equation}
588 < Velocity autocorrelation functions require detailed short time data
589 < and long trajectories for good statistics, thus velocity information
590 < was saved every 5 fs over 100 ps trajectories.  The power spectrum
591 < ($I(\omega)$) is obtained via Fourier transform of the autocorrelation
592 < function
588 > Velocity autocorrelation functions require detailed short time data,
589 > thus velocity information was saved every 2 fs over 10 ps
590 > trajectories. Because the NaCl crystal is composed of two different
591 > atom types, the average of the two resulting velocity autocorrelation
592 > functions was used for comparisons.
593 >
594 > \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
595 > Evaluation of the long-time dynamics of charged systems was performed
596 > by considering the NaCl crystal system, again while using a subset of
597 > the best performing pairwise methods.  To enhance the atomic motion,
598 > these crystals were equilibrated at 1000 K, near the experimental
599 > $T_m$ for NaCl.  Simulations were performed under the microcanonical
600 > ensemble, and velocity information was saved every 5 fs over 100 ps
601 > trajectories.  The power spectrum ($I(\omega)$) was obtained via
602 > Fourier transform of the velocity autocorrelation function
603   \begin{equation}
604   I(\omega) = \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
605   \label{eq:powerSpec}
606   \end{equation}
607 < where the frequency, $\omega=0,\ 1,\ ...,\ N-1$.
607 > where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
608 > NaCl crystal is composed of two different atom types, the average of
609 > the two resulting power spectra was used for comparisons.
610  
611   \subsection{Representative Simulations}\label{sec:RepSims}
612   A variety of common and representative simulations were analyzed to
# Line 472 | Line 651 | Electrostatic summation method comparisons were perfor
651  
652   \subsection{Electrostatic Summation Methods}\label{sec:ESMethods}
653   Electrostatic summation method comparisons were performed using SPME,
654 < the Shifted-Potential and Shifted-Force methods - both with damping
654 > the {\sc sp} and {\sc sf} methods - both with damping
655   parameters ($\alpha$) of 0.0, 0.1, 0.2, and 0.3 \AA$^{-1}$ (no, weak,
656   moderate, and strong damping respectively), reaction field with an
657   infinite dielectric constant, and an unmodified cutoff.  Group-based
# Line 491 | Line 670 | tolerance (typically less than $1 \times 10^{-4}$ kcal
670   the energies and forces calculated.  Typical molecular mechanics
671   packages default this to a value dependent on the cutoff radius and a
672   tolerance (typically less than $1 \times 10^{-4}$ kcal/mol).  Smaller
673 < tolerances are typically associated with increased accuracy in the
674 < real-space portion of the summation.\cite{Essmann95} The default
675 < TINKER tolerance of $1 \times 10^{-8}$ kcal/mol was used in all SPME
673 > tolerances are typically associated with increased accuracy, but this
674 > usually means more time spent calculating the reciprocal-space portion
675 > of the summation.\cite{Perram88,Essmann95} The default TINKER
676 > tolerance of $1 \times 10^{-8}$ kcal/mol was used in all SPME
677   calculations, resulting in Ewald Coefficients of 0.4200, 0.3119, and
678   0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\ respectively.
679  
# Line 535 | Line 715 | shown, but it has a detrimental effect on simulations
715   particularly with a cutoff radius greater than 12 \AA .  Use of a
716   larger damping parameter is more helpful for the shortest cutoff
717   shown, but it has a detrimental effect on simulations with larger
718 < cutoffs.  In the Shifted-Force sets, increasing damping results in
718 > cutoffs.  In the {\sc sf} sets, increasing damping results in
719   progressively poorer correlation.  Overall, the undamped case is the
720   best performing set, as the correlation and quality of fits are
721   consistently superior regardless of the cutoff distance.  This result
# Line 568 | Line 748 | a improvement much more significant than what was seen
748   in the previous $\Delta E$ section.  The unmodified cutoff results are
749   poor, but using group based cutoffs and a switching function provides
750   a improvement much more significant than what was seen with $\Delta
751 < E$.  Looking at the Shifted-Potential sets, the slope and $R^2$
751 > E$.  Looking at the {\sc sp} sets, the slope and $R^2$
752   improve with the use of damping to an optimal result of 0.2 \AA
753   $^{-1}$ for the 12 and 15 \AA\ cutoffs.  Further increases in damping,
754   while beneficial for simulations with a cutoff radius of 9 \AA\ , is
755   detrimental to simulations with larger cutoff radii.  The undamped
756 < Shifted-Force method gives forces in line with those obtained using
756 > {\sc sf} method gives forces in line with those obtained using
757   SPME, and use of a damping function results in minor improvement.  The
758   reaction field results are surprisingly good, considering the poor
759   quality of the fits for the $\Delta E$ results.  There is still a
# Line 596 | Line 776 | the improved behavior that comes with increasing the c
776   torque vector magnitude results in figure \ref{fig:trqMag} are still
777   similar to those seen for the forces; however, they more clearly show
778   the improved behavior that comes with increasing the cutoff radius.
779 < Moderate damping is beneficial to the Shifted-Potential and helpful
780 < yet possibly unnecessary with the Shifted-Force method, and they also
779 > Moderate damping is beneficial to the {\sc sp} and helpful
780 > yet possibly unnecessary with the {\sc sf} method, and they also
781   show that over-damping adversely effects all cutoff radii rather than
782   showing an improvement for systems with short cutoffs.  The reaction
783   field method performs well when calculating the torques, better than
# Line 626 | Line 806 | of the distribution widths, with a similar improvement
806   show the improvement afforded by choosing a longer simulation cutoff.
807   Increasing the cutoff from 9 to 12 \AA\ typically results in a halving
808   of the distribution widths, with a similar improvement going from 12
809 < to 15 \AA .  The undamped Shifted-Force, Group Based Cutoff, and
809 > to 15 \AA .  The undamped {\sc sf}, Group Based Cutoff, and
810   Reaction Field methods all do equivalently well at capturing the
811   direction of both the force and torque vectors.  Using damping
812 < improves the angular behavior significantly for the Shifted-Potential
813 < and moderately for the Shifted-Force methods.  Increasing the damping
812 > improves the angular behavior significantly for the {\sc sp}
813 > and moderately for the {\sc sf} methods.  Increasing the damping
814   too far is destructive for both methods, particularly to the torque
815   vectors.  Again it is important to recognize that the force vectors
816   cover all particles in the systems, while torque vectors are only
# Line 672 | Line 852 | Although not discussed previously, group based cutoffs
852   \end{table}
853  
854   Although not discussed previously, group based cutoffs can be applied
855 < to both the Shifted-Potential and Shifted-Force methods.  Use off a
855 > to both the {\sc sp} and {\sc sf} methods.  Use off a
856   switching function corrects for the discontinuities that arise when
857   atoms of a group exit the cutoff before the group's center of mass.
858   Though there are no significant benefit or drawbacks observed in
# Line 681 | Line 861 | results seen in figure \ref{fig:frcTrqAng} for compari
861   \ref{tab:groupAngle} shows the angular variance values obtained using
862   group based cutoffs and a switching function alongside the standard
863   results seen in figure \ref{fig:frcTrqAng} for comparison purposes.
864 < The Shifted-Potential shows much narrower angular distributions for
864 > The {\sc sp} shows much narrower angular distributions for
865   both the force and torque vectors when using an $\alpha$ of 0.2
866 < \AA$^{-1}$ or less, while Shifted-Force shows improvements in the
866 > \AA$^{-1}$ or less, while {\sc sf} shows improvements in the
867   undamped and lightly damped cases.  Thus, by calculating the
868   electrostatic interactions in terms of molecular pairs rather than
869   atomic pairs, the direction of the force and torque vectors are
870   determined more accurately.
871  
872   One additional trend to recognize in table \ref{tab:groupAngle} is
873 < that the $\sigma^2$ values for both Shifted-Potential and
874 < Shifted-Force converge as $\alpha$ increases, something that is easier
873 > that the $\sigma^2$ values for both {\sc sp} and
874 > {\sc sf} converge as $\alpha$ increases, something that is easier
875   to see when using group based cutoffs.  Looking back on figures
876   \ref{fig:delE}, \ref{fig:frcMag}, and \ref{fig:trqMag}, show this
877   behavior clearly at large $\alpha$ and cutoff values.  The reason for
# Line 710 | Line 890 | up to 0.2 \AA$^{-1}$ proves to be beneficial, but damp
890   high would introduce error in the molecular torques, particularly for
891   the shorter cutoffs.  Based on the above findings, empirical damping
892   up to 0.2 \AA$^{-1}$ proves to be beneficial, but damping is arguably
893 < unnecessary when using the Shifted-Force method.
893 > unnecessary when using the {\sc sf} method.
894  
895 < \subsection{Collective Motion: Power Spectra of NaCl Crystals}
895 > \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
896  
897 < In the previous studies using a Shifted-Force variant of the damped
897 > In the previous studies using a {\sc sf} variant of the damped
898   Wolf coulomb potential, the structure and dynamics of water were
899   investigated rather extensively.\cite{Zahn02,Kast03} Their results
900 < indicated that the damped Shifted-Force method results in properties
900 > indicated that the damped {\sc sf} method results in properties
901   very similar to those obtained when using the Ewald summation.
902   Considering the statistical results shown above, the good performance
903   of this method is not that surprising.  Rather than consider the same
# Line 727 | Line 907 | summation methods from the above results.
907  
908   \begin{figure}
909   \centering
910 + \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
911 + \caption{Velocity auto-correlation functions of NaCl crystals at 1000 K while using SPME, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2). The inset is a magnification of the first trough. The times to first collision are nearly identical, but the differences can be seen in the peaks and troughs, where the undamped to weakly damped methods are stiffer than the moderately damped and SPME methods.}
912 + \label{fig:vCorrPlot}
913 + \end{figure}
914 +
915 + The short-time decays through the first collision are nearly identical
916 + in figure \ref{fig:vCorrPlot}, but the peaks and troughs of the
917 + functions show how the methods differ.  The undamped {\sc sf} method
918 + has deeper troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher
919 + peaks than any of the other methods.  As the damping function is
920 + increased, these peaks are smoothed out, and approach the SPME
921 + curve. The damping acts as a distance dependent Gaussian screening of
922 + the point charges for the pairwise summation methods; thus, the
923 + collisions are more elastic in the undamped {\sc sf} potental, and the
924 + stiffness of the potential is diminished as the electrostatic
925 + interactions are softened by the damping function.  With $\alpha$
926 + values of 0.2 \AA$^{-1}$, the {\sc sf} and {\sc sp} functions are
927 + nearly identical and track the SPME features quite well.  This is not
928 + too surprising in that the differences between the {\sc sf} and {\sc
929 + sp} potentials are mitigated with increased damping.  However, this
930 + appears to indicate that once damping is utilized, the form of the
931 + potential seems to play a lesser role in the crystal dynamics.
932 +
933 + \subsection{Collective Motion: Power Spectra of NaCl Crystals}
934 +
935 + The short time dynamics were extended to evaluate how the differences
936 + between the methods affect the collective long-time motion.  The same
937 + electrostatic summation methods were used as in the short time
938 + velocity autocorrelation function evaluation, but the trajectories
939 + were sampled over a much longer time. The power spectra of the
940 + resulting velocity autocorrelation functions were calculated and are
941 + displayed in figure \ref{fig:methodPS}.
942 +
943 + \begin{figure}
944 + \centering
945   \includegraphics[width = \linewidth]{./spectraSquare.pdf}
946 < \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.}
946 > \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.}
947   \label{fig:methodPS}
948   \end{figure}
949  
950 < Figure \ref{fig:methodPS} shows the power spectra for the NaCl
951 < crystals (from averaged Na and Cl ion velocity autocorrelation
952 < functions) using the stated electrostatic summation methods.  While
953 < high frequency peaks of all the spectra overlap, showing the same
954 < general features, the low frequency region shows how the summation
955 < methods differ.  Considering the low-frequency inset (expanded in the
956 < upper frame of figure \ref{fig:dampInc}), at frequencies below 100
957 < cm$^{-1}$, the correlated motions are blue-shifted when using undamped
958 < or weakly damped Shifted-Force.  When using moderate damping ($\alpha
959 < = 0.2$ \AA$^{-1}$) both the Shifted-Force and Shifted-Potential
960 < methods give near identical correlated motion behavior as the Ewald
961 < method (which has a damping value of 0.3119).  The damping acts as a
962 < distance dependent Gaussian screening of the point charges for the
963 < pairwise summation methods.  This weakening of the electrostatic
964 < interaction with distance explains why the long-ranged correlated
750 < motions are at lower frequencies for the moderately damped methods
751 < than for undamped or weakly damped methods.  To see this effect more
752 < clearly, we show how damping strength affects a simple real-space
753 < electrostatic potential,
950 > While high frequency peaks of the spectra in this figure overlap,
951 > showing the same general features, the low frequency region shows how
952 > the summation methods differ.  Considering the low-frequency inset
953 > (expanded in the upper frame of figure \ref{fig:dampInc}), at
954 > frequencies below 100 cm$^{-1}$, the correlated motions are
955 > blue-shifted when using undamped or weakly damped {\sc sf}.  When
956 > using moderate damping ($\alpha = 0.2$ \AA$^{-1}$) both the {\sc sf}
957 > and {\sc sp} methods give near identical correlated motion behavior as
958 > the Ewald method (which has a damping value of 0.3119).  This
959 > weakening of the electrostatic interaction with increased damping
960 > explains why the long-ranged correlated motions are at lower
961 > frequencies for the moderately damped methods than for undamped or
962 > weakly damped methods.  To see this effect more clearly, we show how
963 > damping strength alone affects a simple real-space electrostatic
964 > potential,
965   \begin{equation}
966 < 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),
966 > V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r})}{r}\right]S(r),
967   \end{equation}
968   where $S(r)$ is a switching function that smoothly zeroes the
969   potential at the cutoff radius.  Figure \ref{fig:dampInc} shows how
# Line 765 | Line 976 | blue-shifted such that the lowest frequency peak resid
976   shift to higher frequency in exponential fashion.  Though not shown,
977   the spectrum for the simple undamped electrostatic potential is
978   blue-shifted such that the lowest frequency peak resides near 325
979 < cm$^{-1}$.  In light of these results, the undamped Shifted-Force
980 < method producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is
981 < quite respectable; however, it appears as though moderate damping is
982 < required for accurate reproduction of crystal dynamics.
979 > cm$^{-1}$.  In light of these results, the undamped {\sc sf} method
980 > producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is quite
981 > respectable and shows that the shifted force procedure accounts for
982 > most of the effect afforded through use of the Ewald summation.
983 > However, it appears as though moderate damping is required for
984 > accurate reproduction of crystal dynamics.
985   \begin{figure}
986   \centering
987   \includegraphics[width = \linewidth]{./comboSquare.pdf}
988 < \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.}
988 > \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.}
989   \label{fig:dampInc}
990   \end{figure}
991  
# Line 783 | Line 996 | Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular
996   electrostatic summation techniques than the Ewald summation, chiefly
997   methods derived from the damped Coulombic sum originally proposed by
998   Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular, the
999 < Shifted-Force method, reformulated above as equation \ref{eq:SFPot},
999 > {\sc sf} method, reformulated above as eq. (\ref{eq:DSFPot}),
1000   shows a remarkable ability to reproduce the energetic and dynamic
1001   characteristics exhibited by simulations employing lattice summation
1002   techniques.  The cumulative energy difference results showed the
1003 < undamped Shifted-Force and moderately damped Shifted-Potential methods
1003 > undamped {\sc sf} and moderately damped {\sc sp} methods
1004   produced results nearly identical to SPME.  Similarly for the dynamic
1005 < features, the undamped or moderately damped Shifted-Force and
1006 < moderately damped Shifted-Potential methods produce force and torque
1005 > features, the undamped or moderately damped {\sc sf} and
1006 > moderately damped {\sc sp} methods produce force and torque
1007   vector magnitude and directions very similar to the expected values.
1008   These results translate into long-time dynamic behavior equivalent to
1009   that produced in simulations using SPME.
# Line 812 | Line 1025 | today, the Ewald summation may no longer be required t
1025   standard by which these simple pairwise sums are judged.  However,
1026   these results do suggest that in the typical simulations performed
1027   today, the Ewald summation may no longer be required to obtain the
1028 < level of accuracy most researcher have come to expect
1028 > level of accuracy most researchers have come to expect
1029  
1030   \section{Acknowledgments}
1031   \newpage

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