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# Line 25 | Line 25
25  
26   \begin{document}
27  
28 < \title{Is the Ewald Summation necessary? Pairwise alternatives to the accepted standard for long-range electrostatics}
28 > \title{Is the Ewald summation still necessary? \\
29 > Pairwise alternatives to the accepted standard for \\
30 > long-range electrostatics}
31  
32   \author{Christopher J. Fennell and J. Daniel Gezelter\footnote{Corresponding author. \ Electronic mail:
33   gezelter@nd.edu} \\
# Line 38 | Line 40 | Notre Dame, Indiana 46556}
40   \maketitle
41   \doublespacing
42  
41 \nobibliography{}
43   \begin{abstract}
44 < A new method for accumulating electrostatic interactions was derived
45 < from the previous efforts described in \bibentry{Wolf99} and
46 < \bibentry{Zahn02} as a possible replacement for lattice sum methods in
47 < molecular simulations.  Comparisons were performed with this and other
48 < pairwise electrostatic summation techniques against the smooth
49 < particle mesh Ewald (SPME) summation to see how well they reproduce
50 < the energetics and dynamics of a variety of simulation types.  The
51 < newly derived Shifted-Force technique shows a remarkable ability to
52 < reproduce the behavior exhibited in simulations using SPME with an
53 < $\mathscr{O}(N)$ computational cost, equivalent to merely the
54 < real-space portion of the lattice summation.
55 <
44 > We investigate pairwise electrostatic interaction methods and show
45 > that there are viable and computationally efficient $(\mathscr{O}(N))$
46 > alternatives to the Ewald summation for typical modern molecular
47 > simulations.  These methods are extended from the damped and
48 > cutoff-neutralized Coulombic sum originally proposed by
49 > [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
50 > a remarkable ability to reproduce the energetic and dynamic
51 > characteristics exhibited by simulations employing lattice summation
52 > techniques.  Comparisons were performed with this and other pairwise
53 > methods against the smooth particle mesh Ewald ({\sc spme}) summation
54 > to see how well they reproduce the energetics and dynamics of a
55 > variety of simulation types.
56   \end{abstract}
57  
58   \newpage
# Line 94 | Line 95 | explicit Ewald summation.\cite{Tobias01}
95   regarding possible artifacts caused by the inherent periodicity of the
96   explicit Ewald summation.\cite{Tobias01}
97  
98 < In this paper, we focus on a new set of shifted methods devised by
98 > In this paper, we focus on a new set of pairwise methods devised by
99   Wolf {\it et al.},\cite{Wolf99} which we further extend.  These
100   methods along with a few other mixed methods (i.e. reaction field) are
101   compared with the smooth particle mesh Ewald
# Line 109 | Line 110 | their usability in molecular simulations.
110   their usability in molecular simulations.
111  
112   \subsection{The Ewald Sum}
113 < The complete accumulation electrostatic interactions in a system with
113 > The complete accumulation of the electrostatic interactions in a system with
114   periodic boundary conditions (PBC) requires the consideration of the
115   effect of all charges within a (cubic) simulation box as well as those
116   in the periodic replicas,
# Line 154 | Line 155 | conditions, $\epsilon_{\rm S} = \infty$. Figure
155   system is said to be using conducting (or ``tin-foil'') boundary
156   conditions, $\epsilon_{\rm S} = \infty$. Figure
157   \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
158 < time.  Initially, due to the small sizes of the systems that could be
159 < feasibly simulated, the entire simulation box was replicated to
160 < convergence.  In more modern simulations, the simulation boxes have
161 < grown large enough that a real-space cutoff could potentially give
162 < convergent behavior.  Indeed, it has often been observed that the
163 < reciprocal-space portion of the Ewald sum can be small and rapidly
164 < convergent compared to the real-space portion with the choice of small
165 < $\alpha$.\cite{Karasawa89,Kolafa92}
158 > time.  Initially, due to the small system sizes that could be
159 > simulated feasibly, the entire simulation box was replicated to
160 > convergence.  In more modern simulations, the systems have grown large
161 > enough that a real-space cutoff could potentially give convergent
162 > behavior.  Indeed, it has been observed that with the choice of a
163 > small $\alpha$, the reciprocal-space portion of the Ewald sum can be
164 > rapidly convergent and small relative to the real-space
165 > portion.\cite{Karasawa89,Kolafa92}
166  
167   \begin{figure}
168   \centering
169   \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
170 < \caption{How the application of the Ewald summation has changed with
171 < the increase in computer power.  Initially, only small numbers of
172 < particles could be studied, and the Ewald sum acted to replicate the
173 < unit cell charge distribution out to convergence.  Now, much larger
174 < 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.}
170 > \caption{The change in the application of the Ewald sum with
171 > increasing computational power.  A:~Initially, only small systems could
172 > be studied, and the Ewald sum replicated the simulation box to
173 > convergence.  B:~Now, much larger systems of charges can be
174 > investigated with fixed-distance cutoffs.}
175   \label{fig:ewaldTime}
176   \end{figure}
177  
# Line 228 | Line 227 | charge neutrality and gives results similar to those o
227   charge contained within the cutoff radius is crucial for potential
228   stability. They devised a pairwise summation method that ensures
229   charge neutrality and gives results similar to those obtained with the
230 < Ewald summation.  The resulting shifted Coulomb potential
231 < (Eq. \ref{eq:WolfPot}) includes image-charges subtracted out through
232 < placement on the cutoff sphere and a distance-dependent damping
233 < function (identical to that seen in the real-space portion of the
235 < Ewald sum) to aid convergence
230 > Ewald summation.  The resulting shifted Coulomb potential includes
231 > image-charges subtracted out through placement on the cutoff sphere
232 > and a distance-dependent damping function (identical to that seen in
233 > the real-space portion of the Ewald sum) to aid convergence
234   \begin{equation}
235   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\}.
236   \label{eq:WolfPot}
# Line 518 | Line 516 | studying the energy differences between conformations.
516   The pairwise summation techniques (outlined in section
517   \ref{sec:ESMethods}) were evaluated for use in MC simulations by
518   studying the energy differences between conformations.  We took the
519 < SPME-computed energy difference between two conformations to be the
519 > {\sc spme}-computed energy difference between two conformations to be the
520   correct behavior. An ideal performance by an alternative method would
521   reproduce these energy differences exactly (even if the absolute
522   energies calculated by the methods are different).  Since none of the
# Line 526 | Line 524 | correlation (slope) and correlation coefficient for th
524   regressions of energy gap data to evaluate how closely the methods
525   mimicked the Ewald energy gaps.  Unitary results for both the
526   correlation (slope) and correlation coefficient for these regressions
527 < indicate perfect agreement between the alternative method and SPME.
527 > indicate perfect agreement between the alternative method and {\sc spme}.
528   Sample correlation plots for two alternate methods are shown in
529   Fig. \ref{fig:linearFit}.
530  
# Line 555 | Line 553 | comparing the force and torque vectors with those obta
553   We evaluated the pairwise methods (outlined in section
554   \ref{sec:ESMethods}) for use in MD simulations by
555   comparing the force and torque vectors with those obtained using the
556 < reference Ewald summation (SPME).  Both the magnitude and the
556 > reference Ewald summation ({\sc spme}).  Both the magnitude and the
557   direction of these vectors on each of the bodies in the system were
558   analyzed.  For the magnitude of these vectors, linear least squares
559   regression analyses were performed as described previously for
# Line 570 | Line 568 | investigated through measurement of the angle ($\theta
568  
569   The {\it directionality} of the force and torque vectors was
570   investigated through measurement of the angle ($\theta$) formed
571 < between those computed from the particular method and those from SPME,
571 > between those computed from the particular method and those from {\sc spme},
572   \begin{equation}
573   \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
574   \end{equation}
575 < where $\hat{f}_\textrm{M}$ is the unit vector pointing along the force
576 < vector computed using method M.
577 <
578 < Each of these $\theta$ values was accumulated in a distribution
581 < function and weighted by the area on the unit sphere.  Non-linear
582 < Gaussian fits were used to measure the width of the resulting
583 < distributions.
584 <
585 < \begin{figure}
586 < \centering
587 < \includegraphics[width = \linewidth]{./gaussFit.pdf}
588 < \caption{Sample fit of the angular distribution of the force vectors
589 < accumulated using all of the studied systems.  Gaussian fits were used
590 < to obtain values for the variance in force and torque vectors.}
591 < \label{fig:gaussian}
592 < \end{figure}
593 <
594 < Figure \ref{fig:gaussian} shows an example distribution with applied
595 < non-linear fits.  The solid line is a Gaussian profile, while the
596 < dotted line is a Voigt profile, a convolution of a Gaussian and a
597 < Lorentzian.  Since this distribution is a measure of angular error
575 > where $\hat{F}_\textrm{M}$ is the unit vector pointing along the force
576 > vector computed using method M.  Each of these $\theta$ values was
577 > accumulated in a distribution function and weighted by the area on the
578 > unit sphere.  Since this distribution is a measure of angular error
579   between two different electrostatic summation methods, there is no
580 < {\it a priori} reason for the profile to adhere to any specific shape.
581 < Gaussian fits was used to compare all the tested methods.  The
582 < variance ($\sigma^2$) was extracted from each of these fits and was
583 < used to compare distribution widths.  Values of $\sigma^2$ near zero
584 < indicate vector directions indistinguishable from those calculated
585 < when using the reference method (SPME).
580 > {\it a priori} reason for the profile to adhere to any specific
581 > shape. Thus, gaussian fits were used to measure the width of the
582 > resulting distributions. The variance ($\sigma^2$) was extracted from
583 > each of these fits and was used to compare distribution widths.
584 > Values of $\sigma^2$ near zero indicate vector directions
585 > indistinguishable from those calculated when using the reference
586 > method ({\sc spme}).
587  
588   \subsection{Short-time Dynamics}
589  
# Line 616 | Line 598 | of the trajectories,
598   autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
599   of the trajectories,
600   \begin{equation}
601 < C_v(t) = \frac{\langle v_i(0)\cdot v_i(t)\rangle}{\langle v_i(0)\cdot v_i(0)\rangle}.
601 > C_v(t) = \frac{\langle v(0)\cdot v(t)\rangle}{\langle v^2\rangle}.
602   \label{eq:vCorr}
603   \end{equation}
604   Velocity autocorrelation functions require detailed short time data,
# Line 629 | Line 611 | the {\it long-time} dynamics of charged systems were e
611  
612   The effects of the same subset of alternative electrostatic methods on
613   the {\it long-time} dynamics of charged systems were evaluated using
614 < the same model system (NaCl crystals at 1000K).  The power spectrum
614 > the same model system (NaCl crystals at 1000~K).  The power spectrum
615   ($I(\omega)$) was obtained via Fourier transform of the velocity
616   autocorrelation function, \begin{equation} I(\omega) =
617   \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
# Line 644 | Line 626 | relative effectiveness of the pairwise summation techn
626   \subsection{Representative Simulations}\label{sec:RepSims}
627   A variety of representative simulations were analyzed to determine the
628   relative effectiveness of the pairwise summation techniques in
629 < reproducing the energetics and dynamics exhibited by SPME.  We wanted
629 > reproducing the energetics and dynamics exhibited by {\sc spme}.  We wanted
630   to span the space of modern simulations (i.e. from liquids of neutral
631   molecules to ionic crystals), so the systems studied were:
632   \begin{enumerate}
# Line 669 | Line 651 | these systems were selected and equilibrated in the sa
651   the crystal).  The solid and liquid NaCl systems consisted of 500
652   $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
653   these systems were selected and equilibrated in the same manner as the
654 < water systems.  The equilibrated temperatures were 1000~K for the NaCl
655 < crystal and 7000~K for the liquid. The ionic solutions were made by
656 < solvating 4 (or 40) ions in a periodic box containing 1000 SPC/E water
657 < molecules.  Ion and water positions were then randomly swapped, and
658 < the resulting configurations were again equilibrated individually.
659 < Finally, for the Argon / Water ``charge void'' systems, the identities
660 < of all the SPC/E waters within 6 \AA\ of the center of the
661 < equilibrated water configurations were converted to argon
662 < (Fig. \ref{fig:argonSlice}).
654 > water systems. In order to introduce measurable fluctuations in the
655 > configuration energy differences, the crystalline simulations were
656 > equilibrated at 1000~K, near the $T_\textrm{m}$ for NaCl. The liquid
657 > NaCl configurations needed to represent a fully disordered array of
658 > point charges, so the high temperature of 7000~K was selected for
659 > equilibration. The ionic solutions were made by solvating 4 (or 40)
660 > ions in a periodic box containing 1000 SPC/E water molecules.  Ion and
661 > water positions were then randomly swapped, and the resulting
662 > configurations were again equilibrated individually.  Finally, for the
663 > Argon / Water ``charge void'' systems, the identities of all the SPC/E
664 > waters within 6 \AA\ of the center of the equilibrated water
665 > configurations were converted to argon.
666  
667   These procedures guaranteed us a set of representative configurations
668 < from chemically-relevant systems sampled from an appropriate
669 < ensemble. Force field parameters for the ions and Argon were taken
668 > from chemically-relevant systems sampled from appropriate
669 > ensembles. Force field parameters for the ions and Argon were taken
670   from the force field utilized by {\sc oopse}.\cite{Meineke05}
671  
687 \begin{figure}
688 \centering
689 \includegraphics[width = \linewidth]{./slice.pdf}
690 \caption{A slice from the center of a water box used in a charge void
691 simulation.  The darkened region represents the boundary sphere within
692 which the water molecules were converted to argon atoms.}
693 \label{fig:argonSlice}
694 \end{figure}
695
672   \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
673   We compared the following alternative summation methods with results
674 < from the reference method (SPME):
674 > from the reference method ({\sc spme}):
675   \begin{itemize}
676   \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
677   and 0.3 \AA$^{-1}$,
# Line 706 | Line 682 | were utilized for the reaction field simulations.  Add
682   \end{itemize}
683   Group-based cutoffs with a fifth-order polynomial switching function
684   were utilized for the reaction field simulations.  Additionally, we
685 < investigated the use of these cutoffs with the SP, SF, and pure
686 < cutoff.  The SPME electrostatics were performed using the TINKER
687 < implementation of SPME,\cite{Ponder87} while all other method
688 < calculations were performed using the OOPSE molecular mechanics
685 > investigated the use of these cutoffs with the {\sc sp}, {\sc sf}, and pure
686 > cutoff.  The {\sc spme} electrostatics were performed using the {\sc tinker}
687 > implementation of {\sc spme},\cite{Ponder87} while all other calculations
688 > were performed using the {\sc oopse} molecular mechanics
689   package.\cite{Meineke05} All other portions of the energy calculation
690   (i.e. Lennard-Jones interactions) were handled in exactly the same
691   manner across all systems and configurations.
692  
693 < The althernative methods were also evaluated with three different
693 > The alternative methods were also evaluated with three different
694   cutoff radii (9, 12, and 15 \AA).  As noted previously, the
695   convergence parameter ($\alpha$) plays a role in the balance of the
696   real-space and reciprocal-space portions of the Ewald calculation.
697   Typical molecular mechanics packages set this to a value dependent on
698   the cutoff radius and a tolerance (typically less than $1 \times
699   10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
700 < increased accuracy at the expense of increased time spent calculating
701 < the reciprocal-space portion of the
702 < summation.\cite{Perram88,Essmann95} The default TINKER tolerance of $1
703 < \times 10^{-8}$ kcal/mol was used in all SPME calculations, resulting
704 < in Ewald Coefficients of 0.4200, 0.3119, and 0.2476 \AA$^{-1}$ for
705 < cutoff radii of 9, 12, and 15 \AA\ respectively.
700 > increasing accuracy at the expense of computational time spent on the
701 > reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
702 > The default {\sc tinker} tolerance of $1 \times 10^{-8}$ kcal/mol was used
703 > in all {\sc spme} calculations, resulting in Ewald coefficients of 0.4200,
704 > 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
705 > respectively.
706  
707   \section{Results and Discussion}
708  
# Line 734 | Line 710 | between configurations were compared to the values obt
710   In order to evaluate the performance of the pairwise electrostatic
711   summation methods for Monte Carlo simulations, the energy differences
712   between configurations were compared to the values obtained when using
713 < SPME.  The results for the subsequent regression analysis are shown in
713 > {\sc spme}.  The results for the subsequent regression analysis are shown in
714   figure \ref{fig:delE}.
715  
716   \begin{figure}
# Line 744 | Line 720 | indicate $\Delta E$ values indistinguishable from thos
720   differences for a given electrostatic method compared with the
721   reference Ewald sum.  Results with a value equal to 1 (dashed line)
722   indicate $\Delta E$ values indistinguishable from those obtained using
723 < SPME.  Different values of the cutoff radius are indicated with
723 > {\sc spme}.  Different values of the cutoff radius are indicated with
724   different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
725   inverted triangles).}
726   \label{fig:delE}
# Line 768 | Line 744 | comparison where all groups are neutral.
744   readers can consult the accompanying supporting information for a
745   comparison where all groups are neutral.
746  
747 < For the {\sc sp} method, inclusion of potential damping improves the
748 < agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$ shows
749 < an excellent correlation and quality of fit with the SPME results,
750 < particularly with a cutoff radius greater than 12
747 > For the {\sc sp} method, inclusion of electrostatic damping improves
748 > the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
749 > shows an excellent correlation and quality of fit with the {\sc spme}
750 > results, particularly with a cutoff radius greater than 12
751   \AA .  Use of a larger damping parameter is more helpful for the
752   shortest cutoff shown, but it has a detrimental effect on simulations
753   with larger cutoffs.  
754  
755 < In the {\sc sf} sets, increasing damping results in progressively
756 < worse correlation with Ewald.  Overall, the undamped case is the best
755 > In the {\sc sf} sets, increasing damping results in progressively {\it
756 > worse} correlation with Ewald.  Overall, the undamped case is the best
757   performing set, as the correlation and quality of fits are
758   consistently superior regardless of the cutoff distance.  The undamped
759   case is also less computationally demanding (because no evaluation of
# Line 792 | Line 768 | simulations requires consideration of effects on the f
768  
769   Evaluation of pairwise methods for use in Molecular Dynamics
770   simulations requires consideration of effects on the forces and
771 < torques.  Investigation of the force and torque vector magnitudes
772 < provides a measure of the strength of these values relative to SPME.
773 < Figures \ref{fig:frcMag} and \ref{fig:trqMag} respectively show the
774 < force and torque vector magnitude regression results for the
799 < accumulated analysis over all the system types.
771 > torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
772 > regression results for the force and torque vector magnitudes,
773 > respectively.  The data in these figures was generated from an
774 > accumulation of the statistics from all of the system types.
775  
776   \begin{figure}
777   \centering
778   \includegraphics[width=5.5in]{./frcMagplot.pdf}
779 < \caption{Statistical analysis of the quality of the force vector magnitudes for a given electrostatic method compared with the reference Ewald sum.  Results with a value equal to 1 (dashed line) indicate force magnitude values indistinguishable from those obtained using SPME.  Different values of the cutoff radius are indicated with different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ = inverted triangles).}
779 > \caption{Statistical analysis of the quality of the force vector
780 > magnitudes for a given electrostatic method compared with the
781 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
782 > indicate force magnitude values indistinguishable from those obtained
783 > using {\sc spme}.  Different values of the cutoff radius are indicated with
784 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
785 > inverted triangles).}
786   \label{fig:frcMag}
787   \end{figure}
788  
789 + Again, it is striking how well the Shifted Potential and Shifted Force
790 + methods are doing at reproducing the {\sc spme} forces.  The undamped and
791 + weakly-damped {\sc sf} method gives the best agreement with Ewald.
792 + This is perhaps expected because this method explicitly incorporates a
793 + smooth transition in the forces at the cutoff radius as well as the
794 + neutralizing image charges.
795 +
796   Figure \ref{fig:frcMag}, for the most part, parallels the results seen
797   in the previous $\Delta E$ section.  The unmodified cutoff results are
798   poor, but using group based cutoffs and a switching function provides
799 < a improvement much more significant than what was seen with $\Delta
800 < E$.  Looking at the {\sc sp} sets, the slope and $R^2$
801 < improve with the use of damping to an optimal result of 0.2 \AA
802 < $^{-1}$ for the 12 and 15 \AA\ cutoffs.  Further increases in damping,
799 > an improvement much more significant than what was seen with $\Delta
800 > E$.
801 >
802 > With moderate damping and a large enough cutoff radius, the {\sc sp}
803 > method is generating usable forces.  Further increases in damping,
804   while beneficial for simulations with a cutoff radius of 9 \AA\ , is
805 < detrimental to simulations with larger cutoff radii.  The undamped
806 < {\sc sf} method gives forces in line with those obtained using
807 < SPME, and use of a damping function results in minor improvement.  The
819 < reaction field results are surprisingly good, considering the poor
805 > detrimental to simulations with larger cutoff radii.
806 >
807 > The reaction field results are surprisingly good, considering the poor
808   quality of the fits for the $\Delta E$ results.  There is still a
809 < considerable degree of scatter in the data, but it correlates well in
810 < general.  To be fair, we again note that the reaction field
811 < calculations do not encompass NaCl crystal and melt systems, so these
809 > considerable degree of scatter in the data, but the forces correlate
810 > well with the Ewald forces in general.  We note that the reaction
811 > field calculations do not include the pure NaCl systems, so these
812   results are partly biased towards conditions in which the method
813   performs more favorably.
814  
815   \begin{figure}
816   \centering
817   \includegraphics[width=5.5in]{./trqMagplot.pdf}
818 < \caption{Statistical analysis of the quality of the torque vector magnitudes for a given electrostatic method compared with the reference Ewald sum.  Results with a value equal to 1 (dashed line) indicate torque magnitude values indistinguishable from those obtained using SPME.  Different values of the cutoff radius are indicated with different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ = inverted triangles).}
818 > \caption{Statistical analysis of the quality of the torque vector
819 > magnitudes for a given electrostatic method compared with the
820 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
821 > indicate torque magnitude values indistinguishable from those obtained
822 > using {\sc spme}.  Different values of the cutoff radius are indicated with
823 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
824 > inverted triangles).}
825   \label{fig:trqMag}
826   \end{figure}
827  
828 < To evaluate the torque vector magnitudes, the data set from which
829 < values are drawn is limited to rigid molecules in the systems
830 < (i.e. water molecules).  In spite of this smaller sampling pool, the
837 < torque vector magnitude results in figure \ref{fig:trqMag} are still
838 < similar to those seen for the forces; however, they more clearly show
839 < the improved behavior that comes with increasing the cutoff radius.
840 < Moderate damping is beneficial to the {\sc sp} and helpful
841 < yet possibly unnecessary with the {\sc sf} method, and they also
842 < show that over-damping adversely effects all cutoff radii rather than
843 < showing an improvement for systems with short cutoffs.  The reaction
844 < field method performs well when calculating the torques, better than
845 < the Shifted Force method over this limited data set.
828 > Molecular torques were only available from the systems which contained
829 > rigid molecules (i.e. the systems containing water).  The data in
830 > fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
831  
832 + Torques appear to be much more sensitive to charges at a longer
833 + distance.   The striking feature in comparing the new electrostatic
834 + methods with {\sc spme} is how much the agreement improves with increasing
835 + cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
836 + appears to be reproducing the {\sc spme} torques most accurately.  
837 +
838 + Water molecules are dipolar, and the reaction field method reproduces
839 + the effect of the surrounding polarized medium on each of the
840 + molecular bodies. Therefore it is not surprising that reaction field
841 + performs best of all of the methods on molecular torques.
842 +
843   \subsection{Directionality of the Force and Torque Vectors}
844  
845 < Having force and torque vectors with magnitudes that are well
846 < correlated to SPME is good, but if they are not pointing in the proper
847 < direction the results will be incorrect.  These vector directions were
848 < investigated through measurement of the angle formed between them and
849 < those from SPME.  The results (Fig. \ref{fig:frcTrqAng}) are compared
850 < through the variance ($\sigma^2$) of the Gaussian fits of the angle
851 < error distributions of the combined set over all system types.
845 > It is clearly important that a new electrostatic method can reproduce
846 > the magnitudes of the force and torque vectors obtained via the Ewald
847 > sum. However, the {\it directionality} of these vectors will also be
848 > vital in calculating dynamical quantities accurately.  Force and
849 > torque directionalities were investigated by measuring the angles
850 > formed between these vectors and the same vectors calculated using
851 > {\sc spme}.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
852 > variance ($\sigma^2$) of the Gaussian fits of the angle error
853 > distributions of the combined set over all system types.
854  
855   \begin{figure}
856   \centering
857   \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
858 < \caption{Statistical analysis of the quality of the Gaussian fit of the force and torque vector angular distributions for a given electrostatic method compared with the reference Ewald sum.  Results with a variance ($\sigma^2$) equal to zero (dashed line) indicate force and torque directions indistinguishable from those obtained using SPME.  Different values of the cutoff radius are indicated with different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ = inverted triangles).}
858 > \caption{Statistical analysis of the width of the angular distribution
859 > that the force and torque vectors from a given electrostatic method
860 > make with their counterparts obtained using the reference Ewald sum.
861 > Results with a variance ($\sigma^2$) equal to zero (dashed line)
862 > indicate force and torque directions indistinguishable from those
863 > obtained using {\sc spme}.  Different values of the cutoff radius are
864 > indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
865 > and 15\AA\ = inverted triangles).}
866   \label{fig:frcTrqAng}
867   \end{figure}
868  
869   Both the force and torque $\sigma^2$ results from the analysis of the
870   total accumulated system data are tabulated in figure
871 < \ref{fig:frcTrqAng}.  All of the sets, aside from the over-damped case
872 < show the improvement afforded by choosing a longer simulation cutoff.
873 < Increasing the cutoff from 9 to 12 \AA\ typically results in a halving
874 < of the distribution widths, with a similar improvement going from 12
875 < to 15 \AA .  The undamped {\sc sf}, Group Based Cutoff, and
876 < Reaction Field methods all do equivalently well at capturing the
877 < direction of both the force and torque vectors.  Using damping
878 < improves the angular behavior significantly for the {\sc sp}
879 < and moderately for the {\sc sf} methods.  Increasing the damping
880 < too far is destructive for both methods, particularly to the torque
881 < vectors.  Again it is important to recognize that the force vectors
882 < cover all particles in the systems, while torque vectors are only
883 < available for neutral molecular groups.  Damping appears to have a
884 < more beneficial effect on non-neutral bodies, and this observation is
885 < investigated further in the accompanying supporting information.
871 > \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
872 > sp}) method would be essentially unusable for molecular dynamics
873 > unless the damping function is added.  The Shifted Force ({\sc sf})
874 > method, however, is generating force and torque vectors which are
875 > within a few degrees of the Ewald results even with weak (or no)
876 > damping.
877 >
878 > All of the sets (aside from the over-damped case) show the improvement
879 > afforded by choosing a larger cutoff radius.  Increasing the cutoff
880 > from 9 to 12 \AA\ typically results in a halving of the width of the
881 > distribution, with a similar improvement when going from 12 to 15
882 > \AA .
883 >
884 > The undamped {\sc sf}, group-based cutoff, and reaction field methods
885 > all do equivalently well at capturing the direction of both the force
886 > and torque vectors.  Using the electrostatic damping improves the
887 > angular behavior significantly for the {\sc sp} and moderately for the
888 > {\sc sf} methods.  Overdamping is detrimental to both methods.  Again
889 > it is important to recognize that the force vectors cover all
890 > particles in all seven systems, while torque vectors are only
891 > available for neutral molecular groups.  Damping is more beneficial to
892 > charged bodies, and this observation is investigated further in the
893 > accompanying supporting information.
894  
895 + Although not discussed previously, group based cutoffs can be applied
896 + to both the {\sc sp} and {\sc sf} methods.  The group-based cutoffs
897 + will reintroduce small discontinuities at the cutoff radius, but the
898 + effects of these can be minimized by utilizing a switching function.
899 + Though there are no significant benefits or drawbacks observed in
900 + $\Delta E$ and the force and torque magnitudes when doing this, there
901 + is a measurable improvement in the directionality of the forces and
902 + torques. Table \ref{tab:groupAngle} shows the angular variances
903 + obtained using group based cutoffs along with the results seen in
904 + figure \ref{fig:frcTrqAng}.  The {\sc sp} (with an $\alpha$ of 0.2
905 + \AA$^{-1}$ or smaller) shows much narrower angular distributions when
906 + using group-based cutoffs. The {\sc sf} method likewise shows
907 + improvement in the undamped and lightly damped cases.
908 +
909   \begin{table}[htbp]
910 <   \centering
911 <   \caption{Variance ($\sigma^2$) of the force (top set) and torque (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$^2$.}  
910 >   \centering
911 >   \caption{Statistical analysis of the angular
912 >   distributions that the force (upper) and torque (lower) vectors
913 >   from a given electrostatic method make with their counterparts
914 >   obtained using the reference Ewald sum.  Calculations were
915 >   performed both with (Y) and without (N) group based cutoffs and a
916 >   switching function.  The $\alpha$ values have units of \AA$^{-1}$
917 >   and the variance values have units of degrees$^2$.}
918 >
919     \begin{tabular}{@{} ccrrrrrrrr @{}}
920        \\
921        \toprule
# Line 912 | Line 946 | investigated further in the accompanying supporting in
946     \label{tab:groupAngle}
947   \end{table}
948  
949 < Although not discussed previously, group based cutoffs can be applied
950 < to both the {\sc sp} and {\sc sf} methods.  Use off a
951 < switching function corrects for the discontinuities that arise when
952 < atoms of a group exit the cutoff before the group's center of mass.
953 < Though there are no significant benefit or drawbacks observed in
954 < $\Delta E$ and vector magnitude results when doing this, there is a
955 < measurable improvement in the vector angle results.  Table
956 < \ref{tab:groupAngle} shows the angular variance values obtained using
957 < group based cutoffs and a switching function alongside the standard
958 < results seen in figure \ref{fig:frcTrqAng} for comparison purposes.
959 < The {\sc sp} shows much narrower angular distributions for
960 < both the force and torque vectors when using an $\alpha$ of 0.2
961 < \AA$^{-1}$ or less, while {\sc sf} shows improvements in the
962 < undamped and lightly damped cases.  Thus, by calculating the
963 < electrostatic interactions in terms of molecular pairs rather than
964 < atomic pairs, the direction of the force and torque vectors are
965 < determined more accurately.
949 > One additional trend in table \ref{tab:groupAngle} is that the
950 > $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as $\alpha$
951 > increases, something that is more obvious with group-based cutoffs.
952 > The complimentary error function inserted into the potential weakens
953 > the electrostatic interaction as the value of $\alpha$ is increased.
954 > However, at larger values of $\alpha$, it is possible to overdamp the
955 > electrostatic interaction and to remove it completely.  Kast
956 > \textit{et al.}  developed a method for choosing appropriate $\alpha$
957 > values for these types of electrostatic summation methods by fitting
958 > to $g(r)$ data, and their methods indicate optimal values of 0.34,
959 > 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
960 > respectively.\cite{Kast03} These appear to be reasonable choices to
961 > obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
962 > these findings, choices this high would introduce error in the
963 > molecular torques, particularly for the shorter cutoffs.  Based on our
964 > observations, empirical damping up to 0.2 \AA$^{-1}$ is beneficial,
965 > but damping may be unnecessary when using the {\sc sf} method.
966  
933 One additional trend to recognize in table \ref{tab:groupAngle} is
934 that the $\sigma^2$ values for both {\sc sp} and
935 {\sc sf} converge as $\alpha$ increases, something that is easier
936 to see when using group based cutoffs.  Looking back on figures
937 \ref{fig:delE}, \ref{fig:frcMag}, and \ref{fig:trqMag}, show this
938 behavior clearly at large $\alpha$ and cutoff values.  The reason for
939 this is that the complimentary error function inserted into the
940 potential weakens the electrostatic interaction as $\alpha$ increases.
941 Thus, at larger values of $\alpha$, both the summation method types
942 progress toward non-interacting functions, so care is required in
943 choosing large damping functions lest one generate an undesirable loss
944 in the pair interaction.  Kast \textit{et al.}  developed a method for
945 choosing appropriate $\alpha$ values for these types of electrostatic
946 summation methods by fitting to $g(r)$ data, and their methods
947 indicate optimal values of 0.34, 0.25, and 0.16 \AA$^{-1}$ for cutoff
948 values of 9, 12, and 15 \AA\ respectively.\cite{Kast03} These appear
949 to be reasonable choices to obtain proper MC behavior
950 (Fig. \ref{fig:delE}); however, based on these findings, choices this
951 high would introduce error in the molecular torques, particularly for
952 the shorter cutoffs.  Based on the above findings, empirical damping
953 up to 0.2 \AA$^{-1}$ proves to be beneficial, but damping is arguably
954 unnecessary when using the {\sc sf} method.
955
967   \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
968  
969 < In the previous studies using a {\sc sf} variant of the damped
970 < Wolf coulomb potential, the structure and dynamics of water were
971 < investigated rather extensively.\cite{Zahn02,Kast03} Their results
972 < indicated that the damped {\sc sf} method results in properties
973 < very similar to those obtained when using the Ewald summation.
974 < Considering the statistical results shown above, the good performance
975 < of this method is not that surprising.  Rather than consider the same
976 < systems and simply recapitulate their results, we decided to look at
977 < the solid state dynamical behavior obtained using the best performing
978 < summation methods from the above results.
969 > Zahn {\it et al.} investigated the structure and dynamics of water
970 > using eqs. (\ref{eq:ZahnPot}) and
971 > (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
972 > that a method similar (but not identical with) the damped {\sc sf}
973 > method resulted in properties very similar to those obtained when
974 > using the Ewald summation.  The properties they studied (pair
975 > distribution functions, diffusion constants, and velocity and
976 > orientational correlation functions) may not be particularly sensitive
977 > to the long-range and collective behavior that governs the
978 > low-frequency behavior in crystalline systems.  Additionally, the
979 > ionic crystals are the worst case scenario for the pairwise methods
980 > because they lack the reciprocal space contribution contained in the
981 > Ewald summation.  
982  
983 + We are using two separate measures to probe the effects of these
984 + alternative electrostatic methods on the dynamics in crystalline
985 + materials.  For short- and intermediate-time dynamics, we are
986 + computing the velocity autocorrelation function, and for long-time
987 + and large length-scale collective motions, we are looking at the
988 + low-frequency portion of the power spectrum.
989 +
990   \begin{figure}
991   \centering
992   \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
993 < \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.}
993 > \caption{Velocity autocorrelation functions of NaCl crystals at
994 > 1000 K using {\sc spme}, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
995 > sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
996 > the first minimum.  The times to first collision are nearly identical,
997 > but differences can be seen in the peaks and troughs, where the
998 > undamped and weakly damped methods are stiffer than the moderately
999 > damped and {\sc spme} methods.}
1000   \label{fig:vCorrPlot}
1001   \end{figure}
1002  
1003 < The short-time decays through the first collision are nearly identical
1004 < in figure \ref{fig:vCorrPlot}, but the peaks and troughs of the
1005 < functions show how the methods differ.  The undamped {\sc sf} method
1006 < has deeper troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher
1007 < peaks than any of the other methods.  As the damping function is
1008 < increased, these peaks are smoothed out, and approach the SPME
1009 < curve. The damping acts as a distance dependent Gaussian screening of
1010 < the point charges for the pairwise summation methods; thus, the
1011 < collisions are more elastic in the undamped {\sc sf} potential, and the
1012 < stiffness of the potential is diminished as the electrostatic
1013 < interactions are softened by the damping function.  With $\alpha$
1014 < values of 0.2 \AA$^{-1}$, the {\sc sf} and {\sc sp} functions are
1015 < nearly identical and track the SPME features quite well.  This is not
1016 < too surprising in that the differences between the {\sc sf} and {\sc
1017 < sp} potentials are mitigated with increased damping.  However, this
991 < appears to indicate that once damping is utilized, the form of the
992 < potential seems to play a lesser role in the crystal dynamics.
1003 > The short-time decay of the velocity autocorrelation function through
1004 > the first collision are nearly identical in figure
1005 > \ref{fig:vCorrPlot}, but the peaks and troughs of the functions show
1006 > how the methods differ.  The undamped {\sc sf} method has deeper
1007 > troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher peaks than
1008 > any of the other methods.  As the damping parameter ($\alpha$) is
1009 > increased, these peaks are smoothed out, and the {\sc sf} method
1010 > approaches the {\sc spme} results.  With $\alpha$ values of 0.2 \AA$^{-1}$,
1011 > the {\sc sf} and {\sc sp} functions are nearly identical and track the
1012 > {\sc spme} features quite well.  This is not surprising because the {\sc sf}
1013 > and {\sc sp} potentials become nearly identical with increased
1014 > damping.  However, this appears to indicate that once damping is
1015 > utilized, the details of the form of the potential (and forces)
1016 > constructed out of the damped electrostatic interaction are less
1017 > important.
1018  
1019   \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1020  
1021 < The short time dynamics were extended to evaluate how the differences
1022 < between the methods affect the collective long-time motion.  The same
1023 < electrostatic summation methods were used as in the short time
1024 < velocity autocorrelation function evaluation, but the trajectories
1025 < were sampled over a much longer time. The power spectra of the
1026 < resulting velocity autocorrelation functions were calculated and are
1027 < displayed in figure \ref{fig:methodPS}.
1021 > To evaluate how the differences between the methods affect the
1022 > collective long-time motion, we computed power spectra from long-time
1023 > traces of the velocity autocorrelation function. The power spectra for
1024 > the best-performing alternative methods are shown in
1025 > fig. \ref{fig:methodPS}.  Apodization of the correlation functions via
1026 > a cubic switching function between 40 and 50 ps was used to reduce the
1027 > ringing resulting from data truncation.  This procedure had no
1028 > noticeable effect on peak location or magnitude.
1029  
1030   \begin{figure}
1031   \centering
1032   \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1033 < \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.}
1033 > \caption{Power spectra obtained from the velocity auto-correlation
1034 > functions of NaCl crystals at 1000 K while using {\sc spme}, {\sc sf}
1035 > ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  The inset
1036 > shows the frequency region below 100 cm$^{-1}$ to highlight where the
1037 > spectra differ.}
1038   \label{fig:methodPS}
1039   \end{figure}
1040  
1041 < While high frequency peaks of the spectra in this figure overlap,
1042 < showing the same general features, the low frequency region shows how
1043 < the summation methods differ.  Considering the low-frequency inset
1044 < (expanded in the upper frame of figure \ref{fig:dampInc}), at
1045 < frequencies below 100 cm$^{-1}$, the correlated motions are
1046 < blue-shifted when using undamped or weakly damped {\sc sf}.  When
1047 < using moderate damping ($\alpha = 0.2$ \AA$^{-1}$) both the {\sc sf}
1048 < and {\sc sp} methods give near identical correlated motion behavior as
1049 < the Ewald method (which has a damping value of 0.3119).  This
1050 < weakening of the electrostatic interaction with increased damping
1051 < explains why the long-ranged correlated motions are at lower
1052 < frequencies for the moderately damped methods than for undamped or
1053 < weakly damped methods.  To see this effect more clearly, we show how
1054 < damping strength alone affects a simple real-space electrostatic
1055 < potential,
1056 < \begin{equation}
1057 < V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r})}{r}\right]S(r),
1058 < \end{equation}
1059 < where $S(r)$ is a switching function that smoothly zeroes the
1060 < potential at the cutoff radius.  Figure \ref{fig:dampInc} shows how
1061 < the low frequency motions are dependent on the damping used in the
1062 < direct electrostatic sum.  As the damping increases, the peaks drop to
1063 < lower frequencies.  Incidentally, use of an $\alpha$ of 0.25
1064 < \AA$^{-1}$ on a simple electrostatic summation results in low
1065 < frequency correlated dynamics equivalent to a simulation using SPME.
1066 < When the coefficient lowers to 0.15 \AA$^{-1}$ and below, these peaks
1067 < shift to higher frequency in exponential fashion.  Though not shown,
1068 < the spectrum for the simple undamped electrostatic potential is
1039 < blue-shifted such that the lowest frequency peak resides near 325
1040 < cm$^{-1}$.  In light of these results, the undamped {\sc sf} method
1041 < producing low-lying motion peaks within 10 cm$^{-1}$ of SPME is quite
1042 < respectable and shows that the shifted force procedure accounts for
1043 < most of the effect afforded through use of the Ewald summation.
1044 < However, it appears as though moderate damping is required for
1045 < accurate reproduction of crystal dynamics.
1041 > While the high frequency regions of the power spectra for the
1042 > alternative methods are quantitatively identical with Ewald spectrum,
1043 > the low frequency region shows how the summation methods differ.
1044 > Considering the low-frequency inset (expanded in the upper frame of
1045 > figure \ref{fig:dampInc}), at frequencies below 100 cm$^{-1}$, the
1046 > correlated motions are blue-shifted when using undamped or weakly
1047 > damped {\sc sf}.  When using moderate damping ($\alpha = 0.2$
1048 > \AA$^{-1}$) both the {\sc sf} and {\sc sp} methods give nearly identical
1049 > correlated motion to the Ewald method (which has a convergence
1050 > parameter of 0.3119 \AA$^{-1}$).  This weakening of the electrostatic
1051 > interaction with increased damping explains why the long-ranged
1052 > correlated motions are at lower frequencies for the moderately damped
1053 > methods than for undamped or weakly damped methods.
1054 >
1055 > To isolate the role of the damping constant, we have computed the
1056 > spectra for a single method ({\sc sf}) with a range of damping
1057 > constants and compared this with the {\sc spme} spectrum.
1058 > Fig. \ref{fig:dampInc} shows more clearly that increasing the
1059 > electrostatic damping red-shifts the lowest frequency phonon modes.
1060 > However, even without any electrostatic damping, the {\sc sf} method
1061 > has at most a 10 cm$^{-1}$ error in the lowest frequency phonon mode.
1062 > Without the {\sc sf} modifications, an undamped (pure cutoff) method
1063 > would predict the lowest frequency peak near 325 cm$^{-1}$.  {\it
1064 > Most} of the collective behavior in the crystal is accurately captured
1065 > using the {\sc sf} method.  Quantitative agreement with Ewald can be
1066 > obtained using moderate damping in addition to the shifting at the
1067 > cutoff distance.
1068 >
1069   \begin{figure}
1070   \centering
1071 < \includegraphics[width = \linewidth]{./comboSquare.pdf}
1072 < \caption{Regions of spectra showing the low-frequency correlated motions for NaCl crystals at 1000 K using various electrostatic summation methods.  The upper plot is a zoomed inset from figure \ref{fig:methodPS}.  As the damping value for the {\sc sf} potential increases, the low-frequency peaks red-shift.  The lower plot is of spectra when using SPME and a simple damped Coulombic sum with damping coefficients ($\alpha$) ranging from 0.15 to 0.3 \AA$^{-1}$.  As $\alpha$ increases, the peaks are red-shifted toward and eventually beyond the values given by SPME.  The larger $\alpha$ values weaken the real-space electrostatics, explaining this shift towards less strongly correlated motions in the crystal.}
1071 > \includegraphics[width = \linewidth]{./increasedDamping.pdf}
1072 > \caption{Effect of damping on the two lowest-frequency phonon modes in
1073 > the NaCl crystal at 1000~K.  The undamped shifted force ({\sc sf})
1074 > method is off by less than 10 cm$^{-1}$, and increasing the
1075 > electrostatic damping to 0.25 \AA$^{-1}$ gives quantitative agreement
1076 > with the power spectrum obtained using the Ewald sum.  Overdamping can
1077 > result in underestimates of frequencies of the long-wavelength
1078 > motions.}
1079   \label{fig:dampInc}
1080   \end{figure}
1081  
1082   \section{Conclusions}
1083  
1084   This investigation of pairwise electrostatic summation techniques
1085 < shows that there are viable and more computationally efficient
1086 < electrostatic summation techniques than the Ewald summation, chiefly
1087 < methods derived from the damped Coulombic sum originally proposed by
1088 < Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular, the
1089 < {\sc sf} method, reformulated above as eq. (\ref{eq:DSFPot}),
1090 < shows a remarkable ability to reproduce the energetic and dynamic
1091 < characteristics exhibited by simulations employing lattice summation
1092 < techniques.  The cumulative energy difference results showed the
1093 < undamped {\sc sf} and moderately damped {\sc sp} methods
1094 < produced results nearly identical to SPME.  Similarly for the dynamic
1095 < features, the undamped or moderately damped {\sc sf} and
1096 < moderately damped {\sc sp} methods produce force and torque
1097 < vector magnitude and directions very similar to the expected values.
1098 < These results translate into long-time dynamic behavior equivalent to
1099 < that produced in simulations using SPME.
1085 > shows that there are viable and computationally efficient alternatives
1086 > to the Ewald summation.  These methods are derived from the damped and
1087 > cutoff-neutralized Coulombic sum originally proposed by Wolf
1088 > \textit{et al.}\cite{Wolf99} In particular, the {\sc sf}
1089 > method, reformulated above as eqs. (\ref{eq:DSFPot}) and
1090 > (\ref{eq:DSFForces}), shows a remarkable ability to reproduce the
1091 > energetic and dynamic characteristics exhibited by simulations
1092 > employing lattice summation techniques.  The cumulative energy
1093 > difference results showed the undamped {\sc sf} and moderately damped
1094 > {\sc sp} methods produced results nearly identical to {\sc spme}.  Similarly
1095 > for the dynamic features, the undamped or moderately damped {\sc sf}
1096 > and moderately damped {\sc sp} methods produce force and torque vector
1097 > magnitude and directions very similar to the expected values.  These
1098 > results translate into long-time dynamic behavior equivalent to that
1099 > produced in simulations using {\sc spme}.
1100  
1101 + As in all purely-pairwise cutoff methods, these methods are expected
1102 + to scale approximately {\it linearly} with system size, and they are
1103 + easily parallelizable.  This should result in substantial reductions
1104 + in the computational cost of performing large simulations.
1105 +
1106   Aside from the computational cost benefit, these techniques have
1107   applicability in situations where the use of the Ewald sum can prove
1108 < problematic.  Primary among them is their use in interfacial systems,
1109 < where the unmodified lattice sum techniques artificially accentuate
1110 < the periodicity of the system in an undesirable manner.  There have
1111 < been alterations to the standard Ewald techniques, via corrections and
1112 < reformulations, to compensate for these systems; but the pairwise
1113 < techniques discussed here require no modifications, making them
1114 < natural tools to tackle these problems.  Additionally, this
1115 < transferability gives them benefits over other pairwise methods, like
1116 < reaction field, because estimations of physical properties (e.g. the
1117 < dielectric constant) are unnecessary.
1108 > problematic.  Of greatest interest is their potential use in
1109 > interfacial systems, where the unmodified lattice sum techniques
1110 > artificially accentuate the periodicity of the system in an
1111 > undesirable manner.  There have been alterations to the standard Ewald
1112 > techniques, via corrections and reformulations, to compensate for
1113 > these systems; but the pairwise techniques discussed here require no
1114 > modifications, making them natural tools to tackle these problems.
1115 > Additionally, this transferability gives them benefits over other
1116 > pairwise methods, like reaction field, because estimations of physical
1117 > properties (e.g. the dielectric constant) are unnecessary.
1118  
1119 < We are not suggesting any flaw with the Ewald sum; in fact, it is the
1120 < standard by which these simple pairwise sums are judged.  However,
1121 < these results do suggest that in the typical simulations performed
1122 < today, the Ewald summation may no longer be required to obtain the
1123 < level of accuracy most researchers have come to expect
1119 > If a researcher is using Monte Carlo simulations of large chemical
1120 > systems containing point charges, most structural features will be
1121 > accurately captured using the undamped {\sc sf} method or the {\sc sp}
1122 > method with an electrostatic damping of 0.2 \AA$^{-1}$.  These methods
1123 > would also be appropriate for molecular dynamics simulations where the
1124 > data of interest is either structural or short-time dynamical
1125 > quantities.  For long-time dynamics and collective motions, the safest
1126 > pairwise method we have evaluated is the {\sc sf} method with an
1127 > electrostatic damping between 0.2 and 0.25
1128 > \AA$^{-1}$.
1129  
1130 + We are not suggesting that there is any flaw with the Ewald sum; in
1131 + fact, it is the standard by which these simple pairwise sums have been
1132 + judged.  However, these results do suggest that in the typical
1133 + simulations performed today, the Ewald summation may no longer be
1134 + required to obtain the level of accuracy most researchers have come to
1135 + expect.
1136 +
1137   \section{Acknowledgments}
1138 + Support for this project was provided by the National Science
1139 + Foundation under grant CHE-0134881.  The authors would like to thank
1140 + Steve Corcelli and Ed Maginn for helpful discussions and comments.
1141 +
1142   \newpage
1143  
1144   \bibliographystyle{jcp2}

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