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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 the 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
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\}.
203   \label{eq:WolfPot}
# 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 206 | Line 294 | of the unshifted potential itself (when inside the cut
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 < F_{\textrm{SP}} = \left( \frac{d v(r)}{dr} \right),
297 > f_{\textrm{SP}} = -\left( \frac{d v(r)}{dr} \right),
298   \end{equation}
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{SF}} = \left( \frac{d v(r)}{dr} \right) - \left(\frac{d
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  
# Line 223 | Line 311 | al.}'s undamped prescription:
311   then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et
312   al.}'s undamped prescription:
313   \begin{equation}
314 < V_\textrm{SP}(r) =
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:WolfSP}
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:FWolfSP}
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
# Line 245 | Line 333 | will give,
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}.
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}.
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   This formulation has the benefits that there are no discontinuities at
# Line 264 | Line 352 | Wolf \textit{et al.} originally discussed the energeti
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
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
# Line 279 | Line 367 | v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r},
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 recovered
371 < using eq. (\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) = q_iq_j\left(\frac{\textrm{erfc}(\alpha r)}{r}-\frac{\textrm{erfc}(\alpha R_\textrm{c})}{R_\textrm{c}}\right) \quad r\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   with associated forces,
377   \begin{equation}
378 < f_{\textrm{DSP}}(r) = q_iq_j\left(-\frac{\textrm{erfc}(\alpha r)}{r^2}-\frac{2\alpha}{\pi^{1/2}}\frac{\exp{(-\alpha^2r^2)}}{r}\right) \quad r\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 damped shifted potential suffers from a discontinuity and
# Line 300 | Line 388 | v_\mathrm{DSF}(r) = q_iq_j\Biggr{[}&\frac{\mathrm{erfc
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) = q_iq_j\Biggr{[}&-\left(\frac{\textrm{erfc}(\alpha r)}{r^2}+\frac{2\alpha}{\pi^{1/2}}\frac{\exp{(-\alpha^2r^2)}}{r}\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\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 {\sc sf} 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 eq. (\ref{eq:shiftingForm}) is equal to
406 < eq. (\ref{eq:dampCoulomb}) with $r$ replaced by $R_\textrm{c}$.  This
407 < term is {\it not} present in the Zahn potential, resulting in a
408 < potential discontinuity as particles cross $R_\textrm{c}$.  Second,
409 < the sign of the derivative portion is different.  The missing
410 < $v_\textrm{c}$ term would not affect molecular dynamics simulations
411 < (although the computed energy would be expected to have sudden jumps
412 < as particle distances crossed $R_c$).  The sign problem would be a
413 < potential source of errors, however.  In fact, it introduces a
414 < discontinuity in the forces at the cutoff, because the force function
415 < is shifted in the wrong direction and doesn't cross zero at
325 < $R_\textrm{c}$.  
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
# Line 359 | Line 449 | and to incorporate their effect, a method like Reactio
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 orignal theory for {\sc rf} was originally
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 prespecification of a
459 > made for {\sc rf}, with the additional pre-specification of a
460   dielectric constant.
461  
462   \section{Methods}
# Line 482 | Line 572 | when using the reference method (SPME).
572   when using the reference method (SPME).
573  
574   \subsection{Short-time Dynamics}
575 <
576 < \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
487 < Evaluation of the long-time dynamics of charged systems was performed
488 < by considering the NaCl crystal system while using a subset of the
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 570 | 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 791 | Line 892 | unnecessary when using the {\sc sf} method.
892   up to 0.2 \AA$^{-1}$ proves to be beneficial, but damping is arguably
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 {\sc sf} variant of the damped
898   Wolf coulomb potential, the structure and dynamics of water were
# Line 803 | Line 904 | summation methods from the above results.
904   systems and simply recapitulate their results, we decided to look at
905   the solid state dynamical behavior obtained using the best performing
906   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}
# Line 811 | Line 947 | summation methods from the above results.
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 {\sc sf}.  When using moderate damping ($\alpha
959 < = 0.2$ \AA$^{-1}$) both the {\sc sf} and {\sc sp}
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
829 < motions are at lower frequencies for the moderately damped methods
830 < than for undamped or weakly damped methods.  To see this effect more
831 < clearly, we show how damping strength affects a simple real-space
832 < 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})}{r}\right]S(r),
967   \end{equation}
# Line 844 | 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 {\sc sf}
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 {\sc sf} 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 891 | 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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