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# Line 104 | Line 104 | and a long-ranged reciprocal-space summation,
104   and a long-ranged reciprocal-space summation,
105   \begin{equation}
106   \begin{split}
107 < V_\textrm{elec} = \frac{1}{2}& \sum_{i=1}^N\sum_{j=1}^N \Biggr[ q_i q_j\Biggr( {\sum_{\mathbf{n}}}^\prime \frac{\textrm{erfc}\left( \alpha|\mathbf{r}_{ij}+\mathbf{n}|\right)}{|\mathbf{r}_{ij}+\mathbf{n}|} \\ &+ \frac{1}{\pi L^3}\sum_{\mathbf{k}\ne 0}\frac{4\pi^2}{|\mathbf{k}|^2} \exp{\left(-\frac{\pi^2|\mathbf{k}|^2}{\alpha^2}\right) \cos\left(\mathbf{k}\cdot\mathbf{r}_{ij}\right)}\Biggr)\Biggr] \\ &- \frac{\alpha}{\pi^{1/2}}\sum_{i=1}^N q_i^2 + \frac{2\pi}{3L^3}\left|\sum_{i=1}^N q_i\mathbf{r}_i\right|^2,
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$^{-1}$, and $\mathbf{k}$ are the reciprocal vectors and
113 < equal $2\pi\mathbf{n}/L^2$. The final two terms of
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} This term is zero
122 < for systems where $\epsilon_{\rm S} = \infty$. Figure
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
# Line 141 | Line 143 | direct and reciprocal-space portions of the summation.
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 whether the real-space or
147 < reciprocal space portion of the summation is an $\mathscr{O}(N^2)$
148 < calcualtion, with the other being $\mathscr{O}(N)$.\cite{Sagui99} With
149 < appropriate choice of $\alpha$ and thoughtful algorithm development,
150 < this cost can be brought down to
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 < accelerate the Ewald summation is to se
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 537 | 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}
542 < Evaluation of the long-time dynamics of charged systems was performed
543 < by considering the NaCl crystal system while using a subset of the
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 847 | 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 862 | 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, {\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 {\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
885 < motions are at lower frequencies for the moderately damped methods
886 < than for undamped or weakly damped methods.  To see this effect more
887 < clearly, we show how damping strength affects a simple real-space
888 < 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 900 | 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}
# Line 947 | 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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