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20   \topmargin -21pt \headsep 10pt
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22   \brokenpenalty=10000
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23 > %\renewcommand{\baselinestretch}{1.2}
24 > \renewcommand{\baselinestretch}{2}
25   \renewcommand\citemid{\ } % no comma in optional reference note
26 + \AtBeginDelayedFloats{\renewcommand{\baselinestretch}{2}} %doublespace captions
27 + \let\Caption\caption
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31 + \setlength{\abovecaptionskip}{1.2in}
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33  
34   \begin{document}
35  
36 < \title{Is the Ewald Summation necessary? Pairwise alternatives to the accepted standard for long-range electrostatics}
36 > \title{Is the Ewald summation still necessary? \\
37 > Pairwise alternatives to the accepted standard \\
38 > for long-range electrostatics}
39  
40   \author{Christopher J. Fennell and J. Daniel Gezelter\footnote{Corresponding author. \ Electronic mail:
41   gezelter@nd.edu} \\
# Line 36 | Line 46 | Notre Dame, Indiana 46556}
46   \date{\today}
47  
48   \maketitle
49 < \doublespacing
49 > %\doublespacing
50  
41 \nobibliography{}
51   \begin{abstract}
52 < A new method for accumulating electrostatic interactions was derived
53 < from the previous efforts described in \bibentry{Wolf99} and
54 < \bibentry{Zahn02} as a possible replacement for lattice sum methods in
55 < molecular simulations.  Comparisons were performed with this and other
56 < pairwise electrostatic summation techniques against the smooth
57 < particle mesh Ewald (SPME) summation to see how well they reproduce
58 < the energetics and dynamics of a variety of simulation types.  The
59 < newly derived Shifted-Force technique shows a remarkable ability to
60 < reproduce the behavior exhibited in simulations using SPME with an
61 < $\mathscr{O}(N)$ computational cost, equivalent to merely the
62 < real-space portion of the lattice summation.
63 <
52 > We investigate pairwise electrostatic interaction methods and show
53 > that there are viable and computationally efficient $(\mathscr{O}(N))$
54 > alternatives to the Ewald summation for typical modern molecular
55 > simulations.  These methods are extended from the damped and
56 > cutoff-neutralized Coulombic sum originally proposed by
57 > [D. Wolf, P. Keblinski, S.~R. Phillpot, and J. Eggebrecht, {\it J. Chem. Phys.} {\bf 110}, 8255 (1999)] One of these, the damped shifted force method, shows
58 > a remarkable ability to reproduce the energetic and dynamic
59 > characteristics exhibited by simulations employing lattice summation
60 > techniques.  Comparisons were performed with this and other pairwise
61 > methods against the smooth particle mesh Ewald ({\sc spme}) summation
62 > to see how well they reproduce the energetics and dynamics of a
63 > variety of molecular simulations.
64   \end{abstract}
65  
66   \newpage
# Line 94 | Line 103 | explicit Ewald summation.\cite{Tobias01}
103   regarding possible artifacts caused by the inherent periodicity of the
104   explicit Ewald summation.\cite{Tobias01}
105  
106 < In this paper, we focus on a new set of shifted methods devised by
106 > In this paper, we focus on a new set of pairwise methods devised by
107   Wolf {\it et al.},\cite{Wolf99} which we further extend.  These
108   methods along with a few other mixed methods (i.e. reaction field) are
109   compared with the smooth particle mesh Ewald
# Line 105 | Line 114 | or which have one- or two-dimensional periodicity.  Be
114   to the direct pairwise sum.  They also lack the added periodicity of
115   the Ewald sum, so they can be used for systems which are non-periodic
116   or which have one- or two-dimensional periodicity.  Below, these
117 < methods are evaluated using a variety of model systems to establish
118 < their usability in molecular simulations.
117 > methods are evaluated using a variety of model systems to
118 > establish their usability in molecular simulations.
119  
120   \subsection{The Ewald Sum}
121 < The complete accumulation electrostatic interactions in a system with
121 > The complete accumulation of the electrostatic interactions in a system with
122   periodic boundary conditions (PBC) requires the consideration of the
123   effect of all charges within a (cubic) simulation box as well as those
124   in the periodic replicas,
# Line 154 | Line 163 | conditions, $\epsilon_{\rm S} = \infty$. Figure
163   system is said to be using conducting (or ``tin-foil'') boundary
164   conditions, $\epsilon_{\rm S} = \infty$. Figure
165   \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
166 < time.  Initially, due to the small sizes of the systems that could be
167 < feasibly simulated, the entire simulation box was replicated to
168 < convergence.  In more modern simulations, the simulation boxes have
169 < grown large enough that a real-space cutoff could potentially give
170 < convergent behavior.  Indeed, it has often been observed that the
171 < reciprocal-space portion of the Ewald sum can be small and rapidly
172 < convergent compared to the real-space portion with the choice of small
173 < $\alpha$.\cite{Karasawa89,Kolafa92}
166 > time.  Initially, due to the small system sizes that could be
167 > simulated feasibly, the entire simulation box was replicated to
168 > convergence.  In more modern simulations, the systems have grown large
169 > enough that a real-space cutoff could potentially give convergent
170 > behavior.  Indeed, it has been observed that with the choice of a
171 > small $\alpha$, the reciprocal-space portion of the Ewald sum can be
172 > rapidly convergent and small relative to the real-space
173 > portion.\cite{Karasawa89,Kolafa92}
174  
175   \begin{figure}
176   \centering
177   \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
178 < \caption{How the application of the Ewald summation has changed with
179 < the increase in computer power.  Initially, only small numbers of
180 < particles could be studied, and the Ewald sum acted to replicate the
181 < unit cell charge distribution out to convergence.  Now, much larger
182 < systems of charges are investigated with fixed distance cutoffs.  The
174 < calculated structure factor is used to sum out to great distance, and
175 < a surrounding dielectric term is included.}
178 > \caption{The change in the need for the Ewald sum with
179 > increasing computational power.  A:~Initially, only small systems
180 > could be studied, and the Ewald sum replicated the simulation box to
181 > convergence.  B:~Now, radial cutoff methods should be able to reach
182 > convergence for the larger systems of charges that are common today.}
183   \label{fig:ewaldTime}
184   \end{figure}
185  
# Line 201 | Line 208 | can prove problematic.  The Ewald sum has been reformu
208   conditions. However, in certain systems, such as vapor-liquid
209   interfaces and membranes, the intrinsic three-dimensional periodicity
210   can prove problematic.  The Ewald sum has been reformulated to handle
211 < 2D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the
212 < new methods are computationally expensive.\cite{Spohr97,Yeh99}
213 < Inclusion of a correction term in the Ewald summation is a possible
214 < direction for handling 2D systems while still enabling the use of the
215 < modern optimizations.\cite{Yeh99}
211 > 2-D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89} but these
212 > methods are computationally expensive.\cite{Spohr97,Yeh99} More
213 > recently, there have been several successful efforts toward reducing
214 > the computational cost of 2-D lattice
215 > summations,\cite{Yeh99,Kawata01,Arnold02,deJoannis02,Brodka04}
216 > bringing them more in line with the cost of the full 3-D summation.
217  
218 +
219   Several studies have recognized that the inherent periodicity in the
220   Ewald sum can also have an effect on three-dimensional
221   systems.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
# Line 228 | Line 237 | charge neutrality and gives results similar to those o
237   charge contained within the cutoff radius is crucial for potential
238   stability. They devised a pairwise summation method that ensures
239   charge neutrality and gives results similar to those obtained with the
240 < Ewald summation.  The resulting shifted Coulomb potential
241 < (Eq. \ref{eq:WolfPot}) includes image-charges subtracted out through
242 < placement on the cutoff sphere and a distance-dependent damping
243 < function (identical to that seen in the real-space portion of the
235 < Ewald sum) to aid convergence
240 > Ewald summation.  The resulting shifted Coulomb potential includes
241 > image-charges subtracted out through placement on the cutoff sphere
242 > and a distance-dependent damping function (identical to that seen in
243 > the real-space portion of the Ewald sum) to aid convergence
244   \begin{equation}
245   V_{\textrm{Wolf}}(r_{ij})= \frac{q_i q_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\}.
246   \label{eq:WolfPot}
# Line 518 | Line 526 | studying the energy differences between conformations.
526   The pairwise summation techniques (outlined in section
527   \ref{sec:ESMethods}) were evaluated for use in MC simulations by
528   studying the energy differences between conformations.  We took the
529 < SPME-computed energy difference between two conformations to be the
529 > {\sc spme}-computed energy difference between two conformations to be the
530   correct behavior. An ideal performance by an alternative method would
531   reproduce these energy differences exactly (even if the absolute
532   energies calculated by the methods are different).  Since none of the
# Line 526 | Line 534 | correlation (slope) and correlation coefficient for th
534   regressions of energy gap data to evaluate how closely the methods
535   mimicked the Ewald energy gaps.  Unitary results for both the
536   correlation (slope) and correlation coefficient for these regressions
537 < indicate perfect agreement between the alternative method and SPME.
537 > indicate perfect agreement between the alternative method and {\sc spme}.
538   Sample correlation plots for two alternate methods are shown in
539   Fig. \ref{fig:linearFit}.
540  
# Line 540 | Line 548 | shows a data set with a good correlation coefficient.}
548   \label{fig:linearFit}
549   \end{figure}
550  
551 < Each system type (detailed in section \ref{sec:RepSims}) was
552 < represented using 500 independent configurations.  Additionally, we
553 < used seven different system types, so each of the alternative
554 < (non-Ewald) electrostatic summation methods was evaluated using
555 < 873,250 configurational energy differences.
551 > Each of the seven system types (detailed in section \ref{sec:RepSims})
552 > were represented using 500 independent configurations.  Thus, each of
553 > the alternative (non-Ewald) electrostatic summation methods was
554 > evaluated using an accumulated 873,250 configurational energy
555 > differences.
556  
557   Results and discussion for the individual analysis of each of the
558 < system types appear in the supporting information, while the
559 < cumulative results over all the investigated systems appears below in
560 < section \ref{sec:EnergyResults}.
558 > system types appear in the supporting information,\cite{EPAPSdeposit}
559 > while the cumulative results over all the investigated systems appears
560 > below in section \ref{sec:EnergyResults}.
561  
562   \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
563   We evaluated the pairwise methods (outlined in section
564   \ref{sec:ESMethods}) for use in MD simulations by
565   comparing the force and torque vectors with those obtained using the
566 < reference Ewald summation (SPME).  Both the magnitude and the
566 > reference Ewald summation ({\sc spme}).  Both the magnitude and the
567   direction of these vectors on each of the bodies in the system were
568   analyzed.  For the magnitude of these vectors, linear least squares
569   regression analyses were performed as described previously for
# Line 570 | Line 578 | investigated through measurement of the angle ($\theta
578  
579   The {\it directionality} of the force and torque vectors was
580   investigated through measurement of the angle ($\theta$) formed
581 < between those computed from the particular method and those from SPME,
581 > between those computed from the particular method and those from {\sc spme},
582   \begin{equation}
583   \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
584   \end{equation}
585 < where $\hat{f}_\textrm{M}$ is the unit vector pointing along the force
585 > where $\hat{F}_\textrm{M}$ is the unit vector pointing along the force
586   vector computed using method M.  Each of these $\theta$ values was
587   accumulated in a distribution function and weighted by the area on the
588 < unit sphere.  Non-linear Gaussian fits were used to measure the width
589 < of the resulting distributions.
590 < %
591 < %\begin{figure}
592 < %\centering
593 < %\includegraphics[width = \linewidth]{./gaussFit.pdf}
594 < %\caption{Sample fit of the angular distribution of the force vectors
595 < %accumulated using all of the studied systems.  Gaussian fits were used
596 < %to obtain values for the variance in force and torque vectors.}
589 < %\label{fig:gaussian}
590 < %\end{figure}
591 < %
592 < %Figure \ref{fig:gaussian} shows an example distribution with applied
593 < %non-linear fits.  The solid line is a Gaussian profile, while the
594 < %dotted line is a Voigt profile, a convolution of a Gaussian and a
595 < %Lorentzian.  
596 < %Since this distribution is a measure of angular error between two
597 < %different electrostatic summation methods, there is no {\it a priori}
598 < %reason for the profile to adhere to any specific shape.
599 < %Gaussian fits was used to compare all the tested methods.  
600 < The variance ($\sigma^2$) was extracted from each of these fits and
601 < was used to compare distribution widths.  Values of $\sigma^2$ near
602 < zero indicate vector directions indistinguishable from those
603 < calculated when using the reference method (SPME).
588 > unit sphere.  Since this distribution is a measure of angular error
589 > between two different electrostatic summation methods, there is no
590 > {\it a priori} reason for the profile to adhere to any specific
591 > shape. Thus, gaussian fits were used to measure the width of the
592 > resulting distributions. The variance ($\sigma^2$) was extracted from
593 > each of these fits and was used to compare distribution widths.
594 > Values of $\sigma^2$ near zero indicate vector directions
595 > indistinguishable from those calculated when using the reference
596 > method ({\sc spme}).
597  
598   \subsection{Short-time Dynamics}
599  
# Line 615 | Line 608 | of the trajectories,
608   autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
609   of the trajectories,
610   \begin{equation}
611 < C_v(t) = \frac{\langle v_i(0)\cdot v_i(t)\rangle}{\langle v_i(0)\cdot v_i(0)\rangle}.
611 > C_v(t) = \frac{\langle v(0)\cdot v(t)\rangle}{\langle v^2\rangle}.
612   \label{eq:vCorr}
613   \end{equation}
614   Velocity autocorrelation functions require detailed short time data,
# Line 628 | Line 621 | the {\it long-time} dynamics of charged systems were e
621  
622   The effects of the same subset of alternative electrostatic methods on
623   the {\it long-time} dynamics of charged systems were evaluated using
624 < the same model system (NaCl crystals at 1000K).  The power spectrum
624 > the same model system (NaCl crystals at 1000~K).  The power spectrum
625   ($I(\omega)$) was obtained via Fourier transform of the velocity
626   autocorrelation function, \begin{equation} I(\omega) =
627   \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
# Line 638 | Line 631 | were performed under the microcanonical ensemble, and
631   NaCl crystal is composed of two different atom types, the average of
632   the two resulting power spectra was used for comparisons. Simulations
633   were performed under the microcanonical ensemble, and velocity
634 < information was saved every 5 fs over 100 ps trajectories.
634 > information was saved every 5~fs over 100~ps trajectories.
635  
636   \subsection{Representative Simulations}\label{sec:RepSims}
637 < A variety of representative simulations were analyzed to determine the
638 < relative effectiveness of the pairwise summation techniques in
639 < reproducing the energetics and dynamics exhibited by SPME.  We wanted
640 < to span the space of modern simulations (i.e. from liquids of neutral
641 < molecules to ionic crystals), so the systems studied were:
637 > A variety of representative molecular simulations were analyzed to
638 > determine the relative effectiveness of the pairwise summation
639 > techniques in reproducing the energetics and dynamics exhibited by
640 > {\sc spme}.  We wanted to span the space of typical molecular
641 > simulations (i.e. from liquids of neutral molecules to ionic
642 > crystals), so the systems studied were:
643   \begin{enumerate}
644   \item liquid water (SPC/E),\cite{Berendsen87}
645   \item crystalline water (Ice I$_\textrm{c}$ crystals of SPC/E),
# Line 668 | Line 662 | these systems were selected and equilibrated in the sa
662   the crystal).  The solid and liquid NaCl systems consisted of 500
663   $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
664   these systems were selected and equilibrated in the same manner as the
665 < water systems.  The equilibrated temperatures were 1000~K for the NaCl
666 < crystal and 7000~K for the liquid. The ionic solutions were made by
667 < solvating 4 (or 40) ions in a periodic box containing 1000 SPC/E water
668 < molecules.  Ion and water positions were then randomly swapped, and
669 < the resulting configurations were again equilibrated individually.
670 < Finally, for the Argon / Water ``charge void'' systems, the identities
671 < of all the SPC/E waters within 6 \AA\ of the center of the
672 < equilibrated water configurations were converted to argon.
673 < %(Fig. \ref{fig:argonSlice}).
665 > water systems. In order to introduce measurable fluctuations in the
666 > configuration energy differences, the crystalline simulations were
667 > equilibrated at 1000~K, near the $T_\textrm{m}$ for NaCl. The liquid
668 > NaCl configurations needed to represent a fully disordered array of
669 > point charges, so the high temperature of 7000~K was selected for
670 > equilibration. The ionic solutions were made by solvating 4 (or 40)
671 > ions in a periodic box containing 1000 SPC/E water molecules.  Ion and
672 > water positions were then randomly swapped, and the resulting
673 > configurations were again equilibrated individually.  Finally, for the
674 > Argon / Water ``charge void'' systems, the identities of all the SPC/E
675 > waters within 6 \AA\ of the center of the equilibrated water
676 > configurations were converted to argon.
677  
678   These procedures guaranteed us a set of representative configurations
679 < from chemically-relevant systems sampled from an appropriate
680 < ensemble. Force field parameters for the ions and Argon were taken
679 > from chemically-relevant systems sampled from appropriate
680 > ensembles. Force field parameters for the ions and Argon were taken
681   from the force field utilized by {\sc oopse}.\cite{Meineke05}
682  
686 %\begin{figure}
687 %\centering
688 %\includegraphics[width = \linewidth]{./slice.pdf}
689 %\caption{A slice from the center of a water box used in a charge void
690 %simulation.  The darkened region represents the boundary sphere within
691 %which the water molecules were converted to argon atoms.}
692 %\label{fig:argonSlice}
693 %\end{figure}
694
683   \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
684   We compared the following alternative summation methods with results
685 < from the reference method (SPME):
685 > from the reference method ({\sc spme}):
686   \begin{itemize}
687   \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
688   and 0.3 \AA$^{-1}$,
# Line 705 | Line 693 | were utilized for the reaction field simulations.  Add
693   \end{itemize}
694   Group-based cutoffs with a fifth-order polynomial switching function
695   were utilized for the reaction field simulations.  Additionally, we
696 < investigated the use of these cutoffs with the SP, SF, and pure
697 < cutoff.  The SPME electrostatics were performed using the TINKER
698 < implementation of SPME,\cite{Ponder87} while all other method
699 < calculations were performed using the OOPSE molecular mechanics
696 > investigated the use of these cutoffs with the {\sc sp}, {\sc sf}, and pure
697 > cutoff.  The {\sc spme} electrostatics were performed using the {\sc tinker}
698 > implementation of {\sc spme},\cite{Ponder87} while all other calculations
699 > were performed using the {\sc oopse} molecular mechanics
700   package.\cite{Meineke05} All other portions of the energy calculation
701   (i.e. Lennard-Jones interactions) were handled in exactly the same
702   manner across all systems and configurations.
703  
704 < The althernative methods were also evaluated with three different
704 > The alternative methods were also evaluated with three different
705   cutoff radii (9, 12, and 15 \AA).  As noted previously, the
706   convergence parameter ($\alpha$) plays a role in the balance of the
707   real-space and reciprocal-space portions of the Ewald calculation.
708   Typical molecular mechanics packages set this to a value dependent on
709   the cutoff radius and a tolerance (typically less than $1 \times
710   10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
711 < increased accuracy at the expense of increased time spent calculating
712 < the reciprocal-space portion of the
713 < summation.\cite{Perram88,Essmann95} The default TINKER tolerance of $1
714 < \times 10^{-8}$ kcal/mol was used in all SPME calculations, resulting
715 < in Ewald Coefficients of 0.4200, 0.3119, and 0.2476 \AA$^{-1}$ for
716 < cutoff radii of 9, 12, and 15 \AA\ respectively.
711 > increasing accuracy at the expense of computational time spent on the
712 > reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
713 > The default {\sc tinker} tolerance of $1 \times 10^{-8}$ kcal/mol was used
714 > in all {\sc spme} calculations, resulting in Ewald coefficients of 0.4200,
715 > 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
716 > respectively.
717  
718   \section{Results and Discussion}
719  
# Line 733 | Line 721 | between configurations were compared to the values obt
721   In order to evaluate the performance of the pairwise electrostatic
722   summation methods for Monte Carlo simulations, the energy differences
723   between configurations were compared to the values obtained when using
724 < SPME.  The results for the subsequent regression analysis are shown in
724 > {\sc spme}.  The results for the subsequent regression analysis are shown in
725   figure \ref{fig:delE}.
726  
727   \begin{figure}
# Line 743 | Line 731 | indicate $\Delta E$ values indistinguishable from thos
731   differences for a given electrostatic method compared with the
732   reference Ewald sum.  Results with a value equal to 1 (dashed line)
733   indicate $\Delta E$ values indistinguishable from those obtained using
734 < SPME.  Different values of the cutoff radius are indicated with
734 > {\sc spme}.  Different values of the cutoff radius are indicated with
735   different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
736   inverted triangles).}
737   \label{fig:delE}
# Line 765 | Line 753 | readers can consult the accompanying supporting inform
753   significant improvement using the group-switched cutoff because the
754   salt and salt solution systems contain non-neutral groups.  Interested
755   readers can consult the accompanying supporting information for a
756 < comparison where all groups are neutral.
756 > comparison where all groups are neutral.\cite{EPAPSdeposit}
757  
758 < For the {\sc sp} method, inclusion of potential damping improves the
759 < agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$ shows
760 < an excellent correlation and quality of fit with the SPME results,
761 < particularly with a cutoff radius greater than 12
758 > For the {\sc sp} method, inclusion of electrostatic damping improves
759 > the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
760 > shows an excellent correlation and quality of fit with the {\sc spme}
761 > results, particularly with a cutoff radius greater than 12
762   \AA .  Use of a larger damping parameter is more helpful for the
763   shortest cutoff shown, but it has a detrimental effect on simulations
764   with larger cutoffs.  
765  
766 < In the {\sc sf} sets, increasing damping results in progressively
767 < worse correlation with Ewald.  Overall, the undamped case is the best
766 > In the {\sc sf} sets, increasing damping results in progressively {\it
767 > worse} correlation with Ewald.  Overall, the undamped case is the best
768   performing set, as the correlation and quality of fits are
769   consistently superior regardless of the cutoff distance.  The undamped
770   case is also less computationally demanding (because no evaluation of
# Line 791 | Line 779 | simulations requires consideration of effects on the f
779  
780   Evaluation of pairwise methods for use in Molecular Dynamics
781   simulations requires consideration of effects on the forces and
782 < torques.  Investigation of the force and torque vector magnitudes
783 < provides a measure of the strength of these values relative to SPME.
784 < Figures \ref{fig:frcMag} and \ref{fig:trqMag} respectively show the
785 < force and torque vector magnitude regression results for the
798 < accumulated analysis over all the system types.
782 > torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
783 > regression results for the force and torque vector magnitudes,
784 > respectively.  The data in these figures was generated from an
785 > accumulation of the statistics from all of the system types.
786  
787   \begin{figure}
788   \centering
# Line 804 | Line 791 | indicate force magnitude values indistinguishable from
791   magnitudes for a given electrostatic method compared with the
792   reference Ewald sum.  Results with a value equal to 1 (dashed line)
793   indicate force magnitude values indistinguishable from those obtained
794 < using SPME.  Different values of the cutoff radius are indicated with
794 > using {\sc spme}.  Different values of the cutoff radius are indicated with
795   different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
796   inverted triangles).}
797   \label{fig:frcMag}
798   \end{figure}
799  
800 + Again, it is striking how well the Shifted Potential and Shifted Force
801 + methods are doing at reproducing the {\sc spme} forces.  The undamped and
802 + weakly-damped {\sc sf} method gives the best agreement with Ewald.
803 + This is perhaps expected because this method explicitly incorporates a
804 + smooth transition in the forces at the cutoff radius as well as the
805 + neutralizing image charges.
806 +
807   Figure \ref{fig:frcMag}, for the most part, parallels the results seen
808   in the previous $\Delta E$ section.  The unmodified cutoff results are
809   poor, but using group based cutoffs and a switching function provides
810 < a improvement much more significant than what was seen with $\Delta
811 < E$.  Looking at the {\sc sp} sets, the slope and $R^2$
812 < improve with the use of damping to an optimal result of 0.2 \AA
813 < $^{-1}$ for the 12 and 15 \AA\ cutoffs.  Further increases in damping,
810 > an improvement much more significant than what was seen with $\Delta
811 > E$.
812 >
813 > With moderate damping and a large enough cutoff radius, the {\sc sp}
814 > method is generating usable forces.  Further increases in damping,
815   while beneficial for simulations with a cutoff radius of 9 \AA\ , is
816 < detrimental to simulations with larger cutoff radii.  The undamped
817 < {\sc sf} method gives forces in line with those obtained using
818 < SPME, and use of a damping function results in minor improvement.  The
824 < reaction field results are surprisingly good, considering the poor
816 > detrimental to simulations with larger cutoff radii.
817 >
818 > The reaction field results are surprisingly good, considering the poor
819   quality of the fits for the $\Delta E$ results.  There is still a
820 < considerable degree of scatter in the data, but it correlates well in
821 < general.  To be fair, we again note that the reaction field
822 < calculations do not encompass NaCl crystal and melt systems, so these
820 > considerable degree of scatter in the data, but the forces correlate
821 > well with the Ewald forces in general.  We note that the reaction
822 > field calculations do not include the pure NaCl systems, so these
823   results are partly biased towards conditions in which the method
824   performs more favorably.
825  
# Line 836 | Line 830 | indicate torque magnitude values indistinguishable fro
830   magnitudes for a given electrostatic method compared with the
831   reference Ewald sum.  Results with a value equal to 1 (dashed line)
832   indicate torque magnitude values indistinguishable from those obtained
833 < using SPME.  Different values of the cutoff radius are indicated with
833 > using {\sc spme}.  Different values of the cutoff radius are indicated with
834   different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
835   inverted triangles).}
836   \label{fig:trqMag}
837   \end{figure}
838  
839 < To evaluate the torque vector magnitudes, the data set from which
840 < values are drawn is limited to rigid molecules in the systems
841 < (i.e. water molecules).  In spite of this smaller sampling pool, the
848 < torque vector magnitude results in figure \ref{fig:trqMag} are still
849 < similar to those seen for the forces; however, they more clearly show
850 < the improved behavior that comes with increasing the cutoff radius.
851 < Moderate damping is beneficial to the {\sc sp} and helpful
852 < yet possibly unnecessary with the {\sc sf} method, and they also
853 < show that over-damping adversely effects all cutoff radii rather than
854 < showing an improvement for systems with short cutoffs.  The reaction
855 < field method performs well when calculating the torques, better than
856 < the Shifted Force method over this limited data set.
839 > Molecular torques were only available from the systems which contained
840 > rigid molecules (i.e. the systems containing water).  The data in
841 > fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
842  
843 + Torques appear to be much more sensitive to charges at a longer
844 + distance.   The striking feature in comparing the new electrostatic
845 + methods with {\sc spme} is how much the agreement improves with increasing
846 + cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
847 + appears to be reproducing the {\sc spme} torques most accurately.  
848 +
849 + Water molecules are dipolar, and the reaction field method reproduces
850 + the effect of the surrounding polarized medium on each of the
851 + molecular bodies. Therefore it is not surprising that reaction field
852 + performs best of all of the methods on molecular torques.
853 +
854   \subsection{Directionality of the Force and Torque Vectors}
855  
856 < Having force and torque vectors with magnitudes that are well
857 < correlated to SPME is good, but if they are not pointing in the proper
858 < direction the results will be incorrect.  These vector directions were
859 < investigated through measurement of the angle formed between them and
860 < those from SPME.  The results (Fig. \ref{fig:frcTrqAng}) are compared
861 < through the variance ($\sigma^2$) of the Gaussian fits of the angle
862 < error distributions of the combined set over all system types.
856 > It is clearly important that a new electrostatic method can reproduce
857 > the magnitudes of the force and torque vectors obtained via the Ewald
858 > sum. However, the {\it directionality} of these vectors will also be
859 > vital in calculating dynamical quantities accurately.  Force and
860 > torque directionalities were investigated by measuring the angles
861 > formed between these vectors and the same vectors calculated using
862 > {\sc spme}.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
863 > variance ($\sigma^2$) of the Gaussian fits of the angle error
864 > distributions of the combined set over all system types.
865  
866   \begin{figure}
867   \centering
868   \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
869 < \caption{Statistical analysis of the quality of the Gaussian fit of
870 < the force and torque vector angular distributions for a given
871 < electrostatic method compared with the reference Ewald sum.  Results
872 < with a variance ($\sigma^2$) equal to zero (dashed line) indicate
873 < force and torque directions indistinguishable from those obtained
874 < using SPME.  Different values of the cutoff radius are indicated with
875 < different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
876 < inverted triangles).}
869 > \caption{Statistical analysis of the width of the angular distribution
870 > that the force and torque vectors from a given electrostatic method
871 > make with their counterparts obtained using the reference Ewald sum.
872 > Results with a variance ($\sigma^2$) equal to zero (dashed line)
873 > indicate force and torque directions indistinguishable from those
874 > obtained using {\sc spme}.  Different values of the cutoff radius are
875 > indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
876 > and 15\AA\ = inverted triangles).}
877   \label{fig:frcTrqAng}
878   \end{figure}
879  
880   Both the force and torque $\sigma^2$ results from the analysis of the
881   total accumulated system data are tabulated in figure
882 < \ref{fig:frcTrqAng}.  All of the sets, aside from the over-damped case
883 < show the improvement afforded by choosing a longer simulation cutoff.
884 < Increasing the cutoff from 9 to 12 \AA\ typically results in a halving
885 < of the distribution widths, with a similar improvement going from 12
886 < to 15 \AA .  The undamped {\sc sf}, Group Based Cutoff, and
887 < Reaction Field methods all do equivalently well at capturing the
890 < direction of both the force and torque vectors.  Using damping
891 < improves the angular behavior significantly for the {\sc sp}
892 < and moderately for the {\sc sf} methods.  Increasing the damping
893 < too far is destructive for both methods, particularly to the torque
894 < vectors.  Again it is important to recognize that the force vectors
895 < cover all particles in the systems, while torque vectors are only
896 < available for neutral molecular groups.  Damping appears to have a
897 < more beneficial effect on non-neutral bodies, and this observation is
898 < investigated further in the accompanying supporting information.
882 > \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
883 > sp}) method would be essentially unusable for molecular dynamics
884 > unless the damping function is added.  The Shifted Force ({\sc sf})
885 > method, however, is generating force and torque vectors which are
886 > within a few degrees of the Ewald results even with weak (or no)
887 > damping.
888  
889 + All of the sets (aside from the over-damped case) show the improvement
890 + afforded by choosing a larger cutoff radius.  Increasing the cutoff
891 + from 9 to 12 \AA\ typically results in a halving of the width of the
892 + distribution, with a similar improvement when going from 12 to 15
893 + \AA .
894 +
895 + The undamped {\sc sf}, group-based cutoff, and reaction field methods
896 + all do equivalently well at capturing the direction of both the force
897 + and torque vectors.  Using the electrostatic damping improves the
898 + angular behavior significantly for the {\sc sp} and moderately for the
899 + {\sc sf} methods.  Overdamping is detrimental to both methods.  Again
900 + it is important to recognize that the force vectors cover all
901 + particles in all seven systems, while torque vectors are only
902 + available for neutral molecular groups.  Damping is more beneficial to
903 + charged bodies, and this observation is investigated further in the
904 + accompanying supporting information.\cite{EPAPSdeposit}
905 +
906 + Although not discussed previously, group based cutoffs can be applied
907 + to both the {\sc sp} and {\sc sf} methods.  The group-based cutoffs
908 + will reintroduce small discontinuities at the cutoff radius, but the
909 + effects of these can be minimized by utilizing a switching function.
910 + Though there are no significant benefits or drawbacks observed in
911 + $\Delta E$ and the force and torque magnitudes when doing this, there
912 + is a measurable improvement in the directionality of the forces and
913 + torques. Table \ref{tab:groupAngle} shows the angular variances
914 + obtained using group based cutoffs along with the results seen in
915 + figure \ref{fig:frcTrqAng}.  The {\sc sp} (with an $\alpha$ of 0.2
916 + \AA$^{-1}$ or smaller) shows much narrower angular distributions when
917 + using group-based cutoffs. The {\sc sf} method likewise shows
918 + improvement in the undamped and lightly damped cases.
919 +
920   \begin{table}[htbp]
921 <   \centering
922 <   \caption{Variance ($\sigma^2$) of the force (top set) and torque
923 < (bottom set) vector angle difference distributions for the Shifted Potential and Shifted Force methods.  Calculations were performed both with (Y) and without (N) group based cutoffs and a switching function.  The $\alpha$ values have units of \AA$^{-1}$ and the variance values have units of degrees$^2$.}      
921 >   \centering
922 >   \caption{Statistical analysis of the angular
923 >   distributions that the force (upper) and torque (lower) vectors
924 >   from a given electrostatic method make with their counterparts
925 >   obtained using the reference Ewald sum.  Calculations were
926 >   performed both with (Y) and without (N) group based cutoffs and a
927 >   switching function.  The $\alpha$ values have units of \AA$^{-1}$
928 >   and the variance values have units of degrees$^2$.}
929 >
930     \begin{tabular}{@{} ccrrrrrrrr @{}}
931        \\
932        \toprule
# Line 931 | Line 957 | investigated further in the accompanying supporting in
957     \label{tab:groupAngle}
958   \end{table}
959  
960 < Although not discussed previously, group based cutoffs can be applied
961 < to both the {\sc sp} and {\sc sf} methods.  Use off a
962 < switching function corrects for the discontinuities that arise when
963 < atoms of a group exit the cutoff before the group's center of mass.
964 < Though there are no significant benefit or drawbacks observed in
965 < $\Delta E$ and vector magnitude results when doing this, there is a
966 < measurable improvement in the vector angle results.  Table
967 < \ref{tab:groupAngle} shows the angular variance values obtained using
968 < group based cutoffs and a switching function alongside the standard
969 < results seen in figure \ref{fig:frcTrqAng} for comparison purposes.
970 < The {\sc sp} shows much narrower angular distributions for
971 < both the force and torque vectors when using an $\alpha$ of 0.2
972 < \AA$^{-1}$ or less, while {\sc sf} shows improvements in the
973 < undamped and lightly damped cases.  Thus, by calculating the
974 < electrostatic interactions in terms of molecular pairs rather than
975 < atomic pairs, the direction of the force and torque vectors are
976 < determined more accurately.
960 > One additional trend in table \ref{tab:groupAngle} is that the
961 > $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as $\alpha$
962 > increases, something that is more obvious with group-based cutoffs.
963 > The complimentary error function inserted into the potential weakens
964 > the electrostatic interaction as the value of $\alpha$ is increased.
965 > However, at larger values of $\alpha$, it is possible to overdamp the
966 > electrostatic interaction and to remove it completely.  Kast
967 > \textit{et al.}  developed a method for choosing appropriate $\alpha$
968 > values for these types of electrostatic summation methods by fitting
969 > to $g(r)$ data, and their methods indicate optimal values of 0.34,
970 > 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
971 > respectively.\cite{Kast03} These appear to be reasonable choices to
972 > obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
973 > these findings, choices this high would introduce error in the
974 > molecular torques, particularly for the shorter cutoffs.  Based on our
975 > observations, empirical damping up to 0.2 \AA$^{-1}$ is beneficial,
976 > but damping may be unnecessary when using the {\sc sf} method.
977  
952 One additional trend to recognize in table \ref{tab:groupAngle} is
953 that the $\sigma^2$ values for both {\sc sp} and
954 {\sc sf} converge as $\alpha$ increases, something that is easier
955 to see when using group based cutoffs.  Looking back on figures
956 \ref{fig:delE}, \ref{fig:frcMag}, and \ref{fig:trqMag}, show this
957 behavior clearly at large $\alpha$ and cutoff values.  The reason for
958 this is that the complimentary error function inserted into the
959 potential weakens the electrostatic interaction as $\alpha$ increases.
960 Thus, at larger values of $\alpha$, both the summation method types
961 progress toward non-interacting functions, so care is required in
962 choosing large damping functions lest one generate an undesirable loss
963 in the pair interaction.  Kast \textit{et al.}  developed a method for
964 choosing appropriate $\alpha$ values for these types of electrostatic
965 summation methods by fitting to $g(r)$ data, and their methods
966 indicate optimal values of 0.34, 0.25, and 0.16 \AA$^{-1}$ for cutoff
967 values of 9, 12, and 15 \AA\ respectively.\cite{Kast03} These appear
968 to be reasonable choices to obtain proper MC behavior
969 (Fig. \ref{fig:delE}); however, based on these findings, choices this
970 high would introduce error in the molecular torques, particularly for
971 the shorter cutoffs.  Based on the above findings, empirical damping
972 up to 0.2 \AA$^{-1}$ proves to be beneficial, but damping is arguably
973 unnecessary when using the {\sc sf} method.
974
978   \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
979  
980 < In the previous studies using a {\sc sf} variant of the damped
981 < Wolf coulomb potential, the structure and dynamics of water were
982 < investigated rather extensively.\cite{Zahn02,Kast03} Their results
983 < indicated that the damped {\sc sf} method results in properties
984 < very similar to those obtained when using the Ewald summation.
985 < Considering the statistical results shown above, the good performance
986 < of this method is not that surprising.  Rather than consider the same
987 < systems and simply recapitulate their results, we decided to look at
988 < the solid state dynamical behavior obtained using the best performing
989 < summation methods from the above results.
980 > Zahn {\it et al.} investigated the structure and dynamics of water
981 > using eqs. (\ref{eq:ZahnPot}) and
982 > (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
983 > that a method similar (but not identical with) the damped {\sc sf}
984 > method resulted in properties very similar to those obtained when
985 > using the Ewald summation.  The properties they studied (pair
986 > distribution functions, diffusion constants, and velocity and
987 > orientational correlation functions) may not be particularly sensitive
988 > to the long-range and collective behavior that governs the
989 > low-frequency behavior in crystalline systems.  Additionally, the
990 > ionic crystals are the worst case scenario for the pairwise methods
991 > because they lack the reciprocal space contribution contained in the
992 > Ewald summation.  
993  
994 + We are using two separate measures to probe the effects of these
995 + alternative electrostatic methods on the dynamics in crystalline
996 + materials.  For short- and intermediate-time dynamics, we are
997 + computing the velocity autocorrelation function, and for long-time
998 + and large length-scale collective motions, we are looking at the
999 + low-frequency portion of the power spectrum.
1000 +
1001   \begin{figure}
1002   \centering
1003   \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
1004 < \caption{Velocity auto-correlation functions of NaCl crystals at
1005 < 1000 K while using SPME, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and
1006 < {\sc sp} ($\alpha$ = 0.2). The inset is a magnification of the first
1007 < trough. The times to first collision are nearly identical, but the
1008 < differences can be seen in the peaks and troughs, where the undamped
1009 < to weakly damped methods are stiffer than the moderately damped and
1010 < SPME methods.}
1004 > \caption{Velocity autocorrelation functions of NaCl crystals at
1005 > 1000 K using {\sc spme}, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
1006 > sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
1007 > the first minimum.  The times to first collision are nearly identical,
1008 > but differences can be seen in the peaks and troughs, where the
1009 > undamped and weakly damped methods are stiffer than the moderately
1010 > damped and {\sc spme} methods.}
1011   \label{fig:vCorrPlot}
1012   \end{figure}
1013  
1014 < The short-time decays through the first collision are nearly identical
1015 < in figure \ref{fig:vCorrPlot}, but the peaks and troughs of the
1016 < functions show how the methods differ.  The undamped {\sc sf} method
1017 < has deeper troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher
1018 < peaks than any of the other methods.  As the damping function is
1019 < increased, these peaks are smoothed out, and approach the SPME
1020 < curve. The damping acts as a distance dependent Gaussian screening of
1021 < the point charges for the pairwise summation methods; thus, the
1022 < collisions are more elastic in the undamped {\sc sf} potential, and the
1023 < stiffness of the potential is diminished as the electrostatic
1024 < interactions are softened by the damping function.  With $\alpha$
1025 < values of 0.2 \AA$^{-1}$, the {\sc sf} and {\sc sp} functions are
1026 < nearly identical and track the SPME features quite well.  This is not
1027 < too surprising in that the differences between the {\sc sf} and {\sc
1028 < sp} potentials are mitigated with increased damping.  However, this
1016 < appears to indicate that once damping is utilized, the form of the
1017 < potential seems to play a lesser role in the crystal dynamics.
1014 > The short-time decay of the velocity autocorrelation function through
1015 > the first collision are nearly identical in figure
1016 > \ref{fig:vCorrPlot}, but the peaks and troughs of the functions show
1017 > how the methods differ.  The undamped {\sc sf} method has deeper
1018 > troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher peaks than
1019 > any of the other methods.  As the damping parameter ($\alpha$) is
1020 > increased, these peaks are smoothed out, and the {\sc sf} method
1021 > approaches the {\sc spme} results.  With $\alpha$ values of 0.2 \AA$^{-1}$,
1022 > the {\sc sf} and {\sc sp} functions are nearly identical and track the
1023 > {\sc spme} features quite well.  This is not surprising because the {\sc sf}
1024 > and {\sc sp} potentials become nearly identical with increased
1025 > damping.  However, this appears to indicate that once damping is
1026 > utilized, the details of the form of the potential (and forces)
1027 > constructed out of the damped electrostatic interaction are less
1028 > important.
1029  
1030   \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1031  
1032 < The short time dynamics were extended to evaluate how the differences
1033 < between the methods affect the collective long-time motion.  The same
1034 < electrostatic summation methods were used as in the short time
1035 < velocity autocorrelation function evaluation, but the trajectories
1036 < were sampled over a much longer time. The power spectra of the
1037 < resulting velocity autocorrelation functions were calculated and are
1038 < displayed in figure \ref{fig:methodPS}.
1032 > To evaluate how the differences between the methods affect the
1033 > collective long-time motion, we computed power spectra from long-time
1034 > traces of the velocity autocorrelation function. The power spectra for
1035 > the best-performing alternative methods are shown in
1036 > fig. \ref{fig:methodPS}.  Apodization of the correlation functions via
1037 > a cubic switching function between 40 and 50 ps was used to reduce the
1038 > ringing resulting from data truncation.  This procedure had no
1039 > noticeable effect on peak location or magnitude.
1040  
1041   \begin{figure}
1042   \centering
1043   \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1044   \caption{Power spectra obtained from the velocity auto-correlation
1045 < functions of NaCl crystals at 1000 K while using SPME, {\sc sf}
1046 < ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).
1047 < Apodization of the correlation functions via a cubic switching
1048 < function between 40 and 50 ps was used to clear up the spectral noise
1037 < resulting from data truncation, and had no noticeable effect on peak
1038 < location or magnitude.  The inset shows the frequency region below 100
1039 < cm$^{-1}$ to highlight where the spectra begin to differ.}
1045 > functions of NaCl crystals at 1000 K while using {\sc spme}, {\sc sf}
1046 > ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  The inset
1047 > shows the frequency region below 100 cm$^{-1}$ to highlight where the
1048 > spectra differ.}
1049   \label{fig:methodPS}
1050   \end{figure}
1051  
1052 < While high frequency peaks of the spectra in this figure overlap,
1053 < showing the same general features, the low frequency region shows how
1054 < the summation methods differ.  Considering the low-frequency inset
1055 < (expanded in the upper frame of figure \ref{fig:dampInc}), at
1056 < frequencies below 100 cm$^{-1}$, the correlated motions are
1057 < blue-shifted when using undamped or weakly damped {\sc sf}.  When
1058 < using moderate damping ($\alpha = 0.2$ \AA$^{-1}$) both the {\sc sf}
1059 < and {\sc sp} methods give near identical correlated motion behavior as
1060 < the Ewald method (which has a damping value of 0.3119).  This
1061 < weakening of the electrostatic interaction with increased damping
1062 < explains why the long-ranged correlated motions are at lower
1063 < frequencies for the moderately damped methods than for undamped or
1064 < weakly damped methods.  To see this effect more clearly, we show how
1065 < damping strength alone affects a simple real-space electrostatic
1066 < potential,
1067 < \begin{equation}
1068 < V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r})}{r}\right]S(r),
1069 < \end{equation}
1070 < where $S(r)$ is a switching function that smoothly zeroes the
1071 < potential at the cutoff radius.  Figure \ref{fig:dampInc} shows how
1072 < the low frequency motions are dependent on the damping used in the
1073 < direct electrostatic sum.  As the damping increases, the peaks drop to
1074 < lower frequencies.  Incidentally, use of an $\alpha$ of 0.25
1075 < \AA$^{-1}$ on a simple electrostatic summation results in low
1076 < frequency correlated dynamics equivalent to a simulation using SPME.
1077 < When the coefficient lowers to 0.15 \AA$^{-1}$ and below, these peaks
1078 < shift to higher frequency in exponential fashion.  Though not shown,
1079 < the spectrum for the simple undamped electrostatic potential is
1071 < blue-shifted such that the lowest frequency peak resides near 325
1072 < cm$^{-1}$.  In light of these results, the undamped {\sc sf} method
1073 < producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is quite
1074 < respectable and shows that the shifted force procedure accounts for
1075 < most of the effect afforded through use of the Ewald summation.
1076 < However, it appears as though moderate damping is required for
1077 < accurate reproduction of crystal dynamics.
1052 > While the high frequency regions of the power spectra for the
1053 > alternative methods are quantitatively identical with Ewald spectrum,
1054 > the low frequency region shows how the summation methods differ.
1055 > Considering the low-frequency inset (expanded in the upper frame of
1056 > figure \ref{fig:dampInc}), at frequencies below 100 cm$^{-1}$, the
1057 > correlated motions are blue-shifted when using undamped or weakly
1058 > damped {\sc sf}.  When using moderate damping ($\alpha = 0.2$
1059 > \AA$^{-1}$) both the {\sc sf} and {\sc sp} methods give nearly identical
1060 > correlated motion to the Ewald method (which has a convergence
1061 > parameter of 0.3119 \AA$^{-1}$).  This weakening of the electrostatic
1062 > interaction with increased damping explains why the long-ranged
1063 > correlated motions are at lower frequencies for the moderately damped
1064 > methods than for undamped or weakly damped methods.
1065 >
1066 > To isolate the role of the damping constant, we have computed the
1067 > spectra for a single method ({\sc sf}) with a range of damping
1068 > constants and compared this with the {\sc spme} spectrum.
1069 > Fig. \ref{fig:dampInc} shows more clearly that increasing the
1070 > electrostatic damping red-shifts the lowest frequency phonon modes.
1071 > However, even without any electrostatic damping, the {\sc sf} method
1072 > has at most a 10 cm$^{-1}$ error in the lowest frequency phonon mode.
1073 > Without the {\sc sf} modifications, an undamped (pure cutoff) method
1074 > would predict the lowest frequency peak near 325 cm$^{-1}$.  {\it
1075 > Most} of the collective behavior in the crystal is accurately captured
1076 > using the {\sc sf} method.  Quantitative agreement with Ewald can be
1077 > obtained using moderate damping in addition to the shifting at the
1078 > cutoff distance.
1079 >
1080   \begin{figure}
1081   \centering
1082 < \includegraphics[width = \linewidth]{./comboSquare.pdf}
1083 < \caption{Regions of spectra showing the low-frequency correlated
1084 < motions for NaCl crystals at 1000 K using various electrostatic
1085 < summation methods.  The upper plot is a zoomed inset from figure
1086 < \ref{fig:methodPS}.  As the damping value for the {\sc sf} potential
1087 < increases, the low-frequency peaks red-shift.  The lower plot is of
1088 < spectra when using SPME and a simple damped Coulombic sum with damping
1089 < coefficients ($\alpha$) ranging from 0.15 to 0.3 \AA$^{-1}$.  As
1088 < $\alpha$ increases, the peaks are red-shifted toward and eventually
1089 < beyond the values given by SPME.  The larger $\alpha$ values weaken
1090 < the real-space electrostatics, explaining this shift towards less
1091 < strongly correlated motions in the crystal.}
1082 > \includegraphics[width = \linewidth]{./increasedDamping.pdf}
1083 > \caption{Effect of damping on the two lowest-frequency phonon modes in
1084 > the NaCl crystal at 1000~K.  The undamped shifted force ({\sc sf})
1085 > method is off by less than 10 cm$^{-1}$, and increasing the
1086 > electrostatic damping to 0.25 \AA$^{-1}$ gives quantitative agreement
1087 > with the power spectrum obtained using the Ewald sum.  Overdamping can
1088 > result in underestimates of frequencies of the long-wavelength
1089 > motions.}
1090   \label{fig:dampInc}
1091   \end{figure}
1092  
1093   \section{Conclusions}
1094  
1095   This investigation of pairwise electrostatic summation techniques
1096 < shows that there are viable and more computationally efficient
1097 < electrostatic summation techniques than the Ewald summation, chiefly
1098 < methods derived from the damped Coulombic sum originally proposed by
1099 < Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular, the
1100 < {\sc sf} method, reformulated above as eq. (\ref{eq:DSFPot}),
1101 < shows a remarkable ability to reproduce the energetic and dynamic
1102 < characteristics exhibited by simulations employing lattice summation
1103 < techniques.  The cumulative energy difference results showed the
1104 < undamped {\sc sf} and moderately damped {\sc sp} methods
1105 < produced results nearly identical to SPME.  Similarly for the dynamic
1106 < features, the undamped or moderately damped {\sc sf} and
1107 < moderately damped {\sc sp} methods produce force and torque
1108 < vector magnitude and directions very similar to the expected values.
1109 < These results translate into long-time dynamic behavior equivalent to
1110 < that produced in simulations using SPME.
1096 > shows that there are viable and computationally efficient alternatives
1097 > to the Ewald summation.  These methods are derived from the damped and
1098 > cutoff-neutralized Coulombic sum originally proposed by Wolf
1099 > \textit{et al.}\cite{Wolf99} In particular, the {\sc sf}
1100 > method, reformulated above as eqs. (\ref{eq:DSFPot}) and
1101 > (\ref{eq:DSFForces}), shows a remarkable ability to reproduce the
1102 > energetic and dynamic characteristics exhibited by simulations
1103 > employing lattice summation techniques.  The cumulative energy
1104 > difference results showed the undamped {\sc sf} and moderately damped
1105 > {\sc sp} methods produced results nearly identical to {\sc spme}.  Similarly
1106 > for the dynamic features, the undamped or moderately damped {\sc sf}
1107 > and moderately damped {\sc sp} methods produce force and torque vector
1108 > magnitude and directions very similar to the expected values.  These
1109 > results translate into long-time dynamic behavior equivalent to that
1110 > produced in simulations using {\sc spme}.
1111  
1112 + As in all purely-pairwise cutoff methods, these methods are expected
1113 + to scale approximately {\it linearly} with system size, and they are
1114 + easily parallelizable.  This should result in substantial reductions
1115 + in the computational cost of performing large simulations.
1116 +
1117   Aside from the computational cost benefit, these techniques have
1118   applicability in situations where the use of the Ewald sum can prove
1119 < problematic.  Primary among them is their use in interfacial systems,
1120 < where the unmodified lattice sum techniques artificially accentuate
1121 < the periodicity of the system in an undesirable manner.  There have
1122 < been alterations to the standard Ewald techniques, via corrections and
1123 < reformulations, to compensate for these systems; but the pairwise
1124 < techniques discussed here require no modifications, making them
1125 < natural tools to tackle these problems.  Additionally, this
1126 < transferability gives them benefits over other pairwise methods, like
1127 < reaction field, because estimations of physical properties (e.g. the
1128 < dielectric constant) are unnecessary.
1119 > problematic.  Of greatest interest is their potential use in
1120 > interfacial systems, where the unmodified lattice sum techniques
1121 > artificially accentuate the periodicity of the system in an
1122 > undesirable manner.  There have been alterations to the standard Ewald
1123 > techniques, via corrections and reformulations, to compensate for
1124 > these systems; but the pairwise techniques discussed here require no
1125 > modifications, making them natural tools to tackle these problems.
1126 > Additionally, this transferability gives them benefits over other
1127 > pairwise methods, like reaction field, because estimations of physical
1128 > properties (e.g. the dielectric constant) are unnecessary.
1129  
1130 < We are not suggesting any flaw with the Ewald sum; in fact, it is the
1131 < standard by which these simple pairwise sums are judged.  However,
1132 < these results do suggest that in the typical simulations performed
1133 < today, the Ewald summation may no longer be required to obtain the
1134 < level of accuracy most researchers have come to expect
1130 > If a researcher is using Monte Carlo simulations of large chemical
1131 > systems containing point charges, most structural features will be
1132 > accurately captured using the undamped {\sc sf} method or the {\sc sp}
1133 > method with an electrostatic damping of 0.2 \AA$^{-1}$.  These methods
1134 > would also be appropriate for molecular dynamics simulations where the
1135 > data of interest is either structural or short-time dynamical
1136 > quantities.  For long-time dynamics and collective motions, the safest
1137 > pairwise method we have evaluated is the {\sc sf} method with an
1138 > electrostatic damping between 0.2 and 0.25
1139 > \AA$^{-1}$.
1140  
1141 + We are not suggesting that there is any flaw with the Ewald sum; in
1142 + fact, it is the standard by which these simple pairwise sums have been
1143 + judged.  However, these results do suggest that in the typical
1144 + simulations performed today, the Ewald summation may no longer be
1145 + required to obtain the level of accuracy most researchers have come to
1146 + expect.
1147 +
1148   \section{Acknowledgments}
1149 + Support for this project was provided by the National Science
1150 + Foundation under grant CHE-0134881.  The authors would like to thank
1151 + Steve Corcelli and Ed Maginn for helpful discussions and comments.
1152 +
1153   \newpage
1154  
1155   \bibliographystyle{jcp2}

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