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# Line 77 | Line 77 | accurately incorporate their effect, and since the com
77   leading to an effect excluded from the pair interactions within a unit
78   box.  In large systems, excessively large cutoffs need to be used to
79   accurately incorporate their effect, and since the computational cost
80 < increases proportionally with the cutoff sphere, it quickly becomes an
81 < impractical task to perform these calculations.
80 > increases proportionally with the cutoff sphere, it quickly becomes
81 > very time-consuming to perform these calculations.
82  
83 + There have been many efforts to address this issue of both proper and
84 + practical handling of electrostatic interactions, and these have
85 + resulted in the availability of a variety of
86 + techniques.\cite{Roux99,Sagui99,Tobias01} These are typically
87 + classified as implicit methods (i.e., continuum dielectrics, static
88 + dipolar fields),\cite{Born20,Grossfield00} explicit methods (i.e.,
89 + Ewald summations, interaction shifting or
90 + trucation),\cite{Ewald21,Steinbach94} or a mixture of the two (i.e.,
91 + reaction field type methods, fast multipole
92 + methods).\cite{Onsager36,Rokhlin85} The explicit or mixed methods are
93 + often preferred because they incorporate dynamic solvent molecules in
94 + the system of interest, but these methods are sometimes difficult to
95 + utilize because of their high computational cost.\cite{Roux99} In
96 + addition to this cost, there has been some question of the inherent
97 + periodicity of the explicit Ewald summation artificially influencing
98 + systems dynamics.\cite{Tobias01}
99 +
100 + In this paper, we focus on the common mixed and explicit methods of
101 + reaction filed and smooth particle mesh
102 + Ewald\cite{Onsager36,Essmann99} and a new set of shifted methods
103 + devised by Wolf {\it et al.} which we further extend.\cite{Wolf99}
104 + These new methods for handling electrostatics are quite
105 + computationally efficient, since they involve only a simple
106 + modification to the direct pairwise sum, and they lack the added
107 + periodicity of the Ewald sum. Below, these methods are evaluated using
108 + a variety of model systems and comparison methodologies to establish
109 + their useability in molecular simulations.
110 +
111   \subsection{The Ewald Sum}
112 < 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,
112 > The complete accumulation electrostatic interactions in a system with
113 > periodic boundary conditions (PBC) requires the consideration of the
114 > effect of all charges within a simulation box, as well as those in the
115 > periodic replicas,
116   \begin{equation}
117   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],
118   \label{eq:PBCSum}
119   \end{equation}
120 < where the sum over $\mathbf{n}$ is a sum over all periodic box replicas
121 < with integer coordinates $\mathbf{n} = (l,m,n)$, and the prime indicates
122 < $i = j$ are neglected for $\mathbf{n} = 0$.\cite{deLeeuw80} Within the
123 < sum, $N$ is the number of electrostatic particles, $\mathbf{r}_{ij}$ is
124 < $\mathbf{r}_j - \mathbf{r}_i$, $L$ is the cell length, $\bm{\Omega}_{i,j}$ are
125 < the Euler angles for $i$ and $j$, and $\phi$ is Poisson's equation
126 < ($\phi(\mathbf{r}_{ij}) = q_i q_j |\mathbf{r}_{ij}|^{-1}$ for charge-charge
127 < interactions). In the case of monopole electrostatics,
128 < eq. (\ref{eq:PBCSum}) is conditionally convergent and is discontiuous
129 < for non-neutral systems.
120 > where the sum over $\mathbf{n}$ is a sum over all periodic box
121 > replicas with integer coordinates $\mathbf{n} = (l,m,n)$, and the
122 > prime indicates $i = j$ are neglected for $\mathbf{n} =
123 > 0$.\cite{deLeeuw80} Within the sum, $N$ is the number of electrostatic
124 > particles, $\mathbf{r}_{ij}$ is $\mathbf{r}_j - \mathbf{r}_i$, $L$ is
125 > the cell length, $\bm{\Omega}_{i,j}$ are the Euler angles for $i$ and
126 > $j$, and $\phi$ is Poisson's equation ($\phi(\mathbf{r}_{ij}) = q_i
127 > q_j |\mathbf{r}_{ij}|^{-1}$ for charge-charge interactions). In the
128 > case of monopole electrostatics, eq. (\ref{eq:PBCSum}) is
129 > conditionally convergent and is discontiuous for non-neutral systems.
130  
131   This electrostatic summation problem was originally studied by Ewald
132   for the case of an infinite crystal.\cite{Ewald21}. The approach he
# Line 104 | Line 135 | and a long-ranged reciprocal-space summation,
135   and a long-ranged reciprocal-space summation,
136   \begin{equation}
137   \begin{split}
138 < 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,
138 > 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,
139   \end{split}
140   \label{eq:EwaldSum}
141   \end{equation}
142   where $\alpha$ is a damping parameter, or separation constant, with
143 < units of \AA$^{-1}$, and $\mathbf{k}$ are the reciprocal vectors and
144 < equal $2\pi\mathbf{n}/L^2$. The final two terms of
143 > units of \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and equal
144 > $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
145 > constant of the encompassing medium. The final two terms of
146   eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
147   for interacting with a surrounding dielectric.\cite{Allen87} This
148   dipolar term was neglected in early applications in molecular
149   simulations,\cite{Brush66,Woodcock71} until it was introduced by de
150   Leeuw {\it et al.} to address situations where the unit cell has a
151   dipole moment and this dipole moment gets magnified through
152 < replication of the periodic images.\cite{deLeeuw80} This term is zero
153 < for systems where $\epsilon_{\rm S} = \infty$. Figure
152 > replication of the periodic images.\cite{deLeeuw80,Smith81} If this
153 > term is taken to be zero, the system is using conducting boundary
154 > conditions, $\epsilon_{\rm S} = \infty$. Figure
155   \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
156   time.  Initially, due to the small size of systems, the entire
157   simulation box was replicated to convergence.  Currently, we balance a
# Line 141 | Line 174 | direct and reciprocal-space portions of the summation.
174   $\mathscr{O}(N^2)$ algorithm.  The separation constant $(\alpha)$
175   plays an important role in the computational cost balance between the
176   direct and reciprocal-space portions of the summation.  The choice of
177 < the magnitude of this value allows one to whether the real-space or
178 < reciprocal space portion of the summation is an $\mathscr{O}(N^2)$
179 < calcualtion, with the other being $\mathscr{O}(N)$.\cite{Sagui99} With
180 < appropriate choice of $\alpha$ and thoughtful algorithm development,
181 < this cost can be brought down to
177 > the magnitude of this value allows one to select whether the
178 > real-space or reciprocal space portion of the summation is an
179 > $\mathscr{O}(N^2)$ calcualtion (with the other being
180 > $\mathscr{O}(N)$).\cite{Sagui99} With appropriate choice of $\alpha$
181 > and thoughtful algorithm development, this cost can be brought down to
182   $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route taken to
183 < accelerate the Ewald summation is to se
183 > reduce the cost of the Ewald summation further is to set $\alpha$ such
184 > that the real-space interactions decay rapidly, allowing for a short
185 > spherical cutoff, and then optimize the reciprocal space summation.
186 > These optimizations usually involve the utilization of the fast
187 > Fourier transform (FFT),\cite{Hockney81} leading to the
188 > particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
189 > methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
190 > methods, the cost of the reciprocal-space portion of the Ewald
191 > summation is from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N \log N)$.
192  
193 + These developments and optimizations have led the use of the Ewald
194 + summation to become routine in simulations with periodic boundary
195 + conditions. However, in certain systems the intrinsic three
196 + dimensional periodicity can prove to be problematic, such as two
197 + dimensional surfaces and membranes.  The Ewald sum has been
198 + reformulated to handle 2D
199 + systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the new
200 + methods have been found to be computationally
201 + expensive.\cite{Spohr97,Yeh99} Inclusion of a correction term in the
202 + full Ewald summation is a possible direction for enabling the handling
203 + of 2D systems and the inclusion of the optimizations described
204 + previously.\cite{Yeh99}
205 +
206 + Several studies have recognized that the inherent periodicity in the
207 + Ewald sum can also have an effect on systems that have the same
208 + dimensionality.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
209 + Good examples are solvated proteins kept at high relative
210 + concentration due to the periodicity of the electrostatics.  In these
211 + systems, the more compact folded states of a protein can be
212 + artificially stabilized by the periodic replicas introduced by the
213 + Ewald summation.\cite{Weber00} Thus, care ought to be taken when
214 + considering the use of the Ewald summation where the intrinsic
215 + perodicity may negatively affect the system dynamics.
216 +
217 +
218   \subsection{The Wolf and Zahn Methods}
219   In a recent paper by Wolf \textit{et al.}, a procedure was outlined
220   for the accurate accumulation of electrostatic interactions in an
221 < efficient pairwise fashion.\cite{Wolf99} Wolf \textit{et al.} observed
222 < that the electrostatic interaction is effectively short-ranged in
223 < condensed phase systems and that neutralization of the charge
224 < contained within the cutoff radius is crucial for potential
225 < stability. They devised a pairwise summation method that ensures
226 < charge neutrality and gives results similar to those obtained with
227 < the Ewald summation.  The resulting shifted Coulomb potential
228 < (Eq. \ref{eq:WolfPot}) includes image-charges subtracted out through
229 < placement on the cutoff sphere and a distance-dependent damping
230 < function (identical to that seen in the real-space portion of the
231 < Ewald sum) to aid convergence
221 > efficient pairwise fashion and lacks the inherent periodicity of the
222 > Ewald summation.\cite{Wolf99} Wolf \textit{et al.} observed that the
223 > electrostatic interaction is effectively short-ranged in condensed
224 > phase systems and that neutralization of the charge contained within
225 > the cutoff radius is crucial for potential stability. They devised a
226 > pairwise summation method that ensures charge neutrality and gives
227 > results similar to those obtained with the Ewald summation.  The
228 > resulting shifted Coulomb potential (Eq. \ref{eq:WolfPot}) includes
229 > image-charges subtracted out through placement on the cutoff sphere
230 > and a distance-dependent damping function (identical to that seen in
231 > the real-space portion of the Ewald sum) to aid convergence
232   \begin{equation}
233   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\}.
234   \label{eq:WolfPot}
# Line 507 | Line 573 | between those computed from the particular method and
573   investigated through measurement of the angle ($\theta$) formed
574   between those computed from the particular method and those from SPME,
575   \begin{equation}
576 < \theta_f = \cos^{-1} \hat{f}_\textrm{SPME} \cdot \hat{f}_\textrm{Method},
576 > \theta_f = \cos^{-1} \left(\hat{f}_\textrm{SPME} \cdot \hat{f}_\textrm{Method}\right),
577   \end{equation}
578   where $\hat{f}_\textrm{M}$ is the unit vector pointing along the
579   force vector computed using method $M$.  
# Line 537 | Line 603 | when using the reference method (SPME).
603   when using the reference method (SPME).
604  
605   \subsection{Short-time Dynamics}
606 <
607 < \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
606 > Evaluation of the short-time dynamics of charged systems was performed
607 > by considering the 1000 K NaCl crystal system while using a subset of the
608   best performing pairwise methods.  The NaCl crystal was chosen to
609   avoid possible complications involving the propagation techniques of
610 < orientational motion in molecular systems.  To enhance the atomic
611 < motion, these crystals were equilibrated at 1000 K, near the
612 < experimental $T_m$ for NaCl.  Simulations were performed under the
613 < microcanonical ensemble, and velocity autocorrelation functions
614 < (Eq. \ref{eq:vCorr}) were computed for each of the trajectories,
610 > orientational motion in molecular systems.  All systems were started
611 > with the same initial positions and velocities.  Simulations were
612 > performed under the microcanonical ensemble, and velocity
613 > autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
614 > of the trajectories,
615   \begin{equation}
616 < C_v(t) = \langle v_i(0)\cdot v_i(t)\rangle.
616 > C_v(t) = \frac{\langle v_i(0)\cdot v_i(t)\rangle}{\langle v_i(0)\cdot v_i(0)\rangle}.
617   \label{eq:vCorr}
618   \end{equation}
619 < Velocity autocorrelation functions require detailed short time data
620 < and long trajectories for good statistics, thus velocity information
621 < was saved every 5 fs over 100 ps trajectories.  The power spectrum
622 < ($I(\omega)$) is obtained via Fourier transform of the autocorrelation
623 < function
619 > Velocity autocorrelation functions require detailed short time data,
620 > thus velocity information was saved every 2 fs over 10 ps
621 > trajectories. Because the NaCl crystal is composed of two different
622 > atom types, the average of the two resulting velocity autocorrelation
623 > functions was used for comparisons.
624 >
625 > \subsection{Long-Time and Collective Motion}\label{sec:LongTimeMethods}
626 > Evaluation of the long-time dynamics of charged systems was performed
627 > by considering the NaCl crystal system, again while using a subset of
628 > the best performing pairwise methods.  To enhance the atomic motion,
629 > these crystals were equilibrated at 1000 K, near the experimental
630 > $T_m$ for NaCl.  Simulations were performed under the microcanonical
631 > ensemble, and velocity information was saved every 5 fs over 100 ps
632 > trajectories.  The power spectrum ($I(\omega)$) was obtained via
633 > Fourier transform of the velocity autocorrelation function
634   \begin{equation}
635   I(\omega) = \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
636   \label{eq:powerSpec}
637   \end{equation}
638 < where the frequency, $\omega=0,\ 1,\ ...,\ N-1$.
638 > where the frequency, $\omega=0,\ 1,\ ...,\ N-1$. Again, because the
639 > NaCl crystal is composed of two different atom types, the average of
640 > the two resulting power spectra was used for comparisons.
641  
642   \subsection{Representative Simulations}\label{sec:RepSims}
643   A variety of common and representative simulations were analyzed to
# Line 847 | Line 923 | unnecessary when using the {\sc sf} method.
923   up to 0.2 \AA$^{-1}$ proves to be beneficial, but damping is arguably
924   unnecessary when using the {\sc sf} method.
925  
926 < \subsection{Collective Motion: Power Spectra of NaCl Crystals}
926 > \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
927  
928   In the previous studies using a {\sc sf} variant of the damped
929   Wolf coulomb potential, the structure and dynamics of water were
# Line 859 | Line 935 | summation methods from the above results.
935   systems and simply recapitulate their results, we decided to look at
936   the solid state dynamical behavior obtained using the best performing
937   summation methods from the above results.
938 +
939 + \begin{figure}
940 + \centering
941 + \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
942 + \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.}
943 + \label{fig:vCorrPlot}
944 + \end{figure}
945 +
946 + The short-time decays through the first collision are nearly identical
947 + in figure \ref{fig:vCorrPlot}, but the peaks and troughs of the
948 + functions show how the methods differ.  The undamped {\sc sf} method
949 + has deeper troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher
950 + peaks than any of the other methods.  As the damping function is
951 + increased, these peaks are smoothed out, and approach the SPME
952 + curve. The damping acts as a distance dependent Gaussian screening of
953 + the point charges for the pairwise summation methods; thus, the
954 + collisions are more elastic in the undamped {\sc sf} potental, and the
955 + stiffness of the potential is diminished as the electrostatic
956 + interactions are softened by the damping function.  With $\alpha$
957 + values of 0.2 \AA$^{-1}$, the {\sc sf} and {\sc sp} functions are
958 + nearly identical and track the SPME features quite well.  This is not
959 + too surprising in that the differences between the {\sc sf} and {\sc
960 + sp} potentials are mitigated with increased damping.  However, this
961 + appears to indicate that once damping is utilized, the form of the
962 + potential seems to play a lesser role in the crystal dynamics.
963  
964 + \subsection{Collective Motion: Power Spectra of NaCl Crystals}
965 +
966 + The short time dynamics were extended to evaluate how the differences
967 + between the methods affect the collective long-time motion.  The same
968 + electrostatic summation methods were used as in the short time
969 + velocity autocorrelation function evaluation, but the trajectories
970 + were sampled over a much longer time. The power spectra of the
971 + resulting velocity autocorrelation functions were calculated and are
972 + displayed in figure \ref{fig:methodPS}.
973 +
974   \begin{figure}
975   \centering
976   \includegraphics[width = \linewidth]{./spectraSquare.pdf}
# Line 867 | Line 978 | summation methods from the above results.
978   \label{fig:methodPS}
979   \end{figure}
980  
981 < Figure \ref{fig:methodPS} shows the power spectra for the NaCl
982 < crystals (from averaged Na and Cl ion velocity autocorrelation
983 < functions) using the stated electrostatic summation methods.  While
984 < high frequency peaks of all the spectra overlap, showing the same
985 < general features, the low frequency region shows how the summation
986 < methods differ.  Considering the low-frequency inset (expanded in the
987 < upper frame of figure \ref{fig:dampInc}), at frequencies below 100
988 < cm$^{-1}$, the correlated motions are blue-shifted when using undamped
989 < or weakly damped {\sc sf}.  When using moderate damping ($\alpha
990 < = 0.2$ \AA$^{-1}$) both the {\sc sf} and {\sc sp}
991 < methods give near identical correlated motion behavior as the Ewald
992 < method (which has a damping value of 0.3119).  The damping acts as a
993 < distance dependent Gaussian screening of the point charges for the
994 < pairwise summation methods.  This weakening of the electrostatic
995 < 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,
981 > While high frequency peaks of the spectra in this figure overlap,
982 > showing the same general features, the low frequency region shows how
983 > the summation methods differ.  Considering the low-frequency inset
984 > (expanded in the upper frame of figure \ref{fig:dampInc}), at
985 > frequencies below 100 cm$^{-1}$, the correlated motions are
986 > blue-shifted when using undamped or weakly damped {\sc sf}.  When
987 > using moderate damping ($\alpha = 0.2$ \AA$^{-1}$) both the {\sc sf}
988 > and {\sc sp} methods give near identical correlated motion behavior as
989 > the Ewald method (which has a damping value of 0.3119).  This
990 > weakening of the electrostatic interaction with increased damping
991 > explains why the long-ranged correlated motions are at lower
992 > frequencies for the moderately damped methods than for undamped or
993 > weakly damped methods.  To see this effect more clearly, we show how
994 > damping strength alone affects a simple real-space electrostatic
995 > potential,
996   \begin{equation}
997   V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r})}{r}\right]S(r),
998   \end{equation}
# Line 900 | Line 1007 | blue-shifted such that the lowest frequency peak resid
1007   shift to higher frequency in exponential fashion.  Though not shown,
1008   the spectrum for the simple undamped electrostatic potential is
1009   blue-shifted such that the lowest frequency peak resides near 325
1010 < cm$^{-1}$.  In light of these results, the undamped {\sc sf}
1011 < method producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is
1012 < quite respectable; however, it appears as though moderate damping is
1013 < required for accurate reproduction of crystal dynamics.
1010 > cm$^{-1}$.  In light of these results, the undamped {\sc sf} method
1011 > producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is quite
1012 > respectable and shows that the shifted force procedure accounts for
1013 > most of the effect afforded through use of the Ewald summation.
1014 > However, it appears as though moderate damping is required for
1015 > accurate reproduction of crystal dynamics.
1016   \begin{figure}
1017   \centering
1018   \includegraphics[width = \linewidth]{./comboSquare.pdf}
# Line 947 | Line 1056 | today, the Ewald summation may no longer be required t
1056   standard by which these simple pairwise sums are judged.  However,
1057   these results do suggest that in the typical simulations performed
1058   today, the Ewald summation may no longer be required to obtain the
1059 < level of accuracy most researcher have come to expect
1059 > level of accuracy most researchers have come to expect
1060  
1061   \section{Acknowledgments}
1062   \newpage

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