ViewVC Help
View File | Revision Log | Show Annotations | View Changeset | Root Listing
root/group/trunk/electrostaticMethodsPaper/electrostaticMethods.tex
(Generate patch)

Comparing trunk/electrostaticMethodsPaper/electrostaticMethods.tex (file contents):
Revision 2649 by chrisfen, Tue Mar 21 14:58:12 2006 UTC vs.
Revision 2742 by chrisfen, Wed Apr 26 17:41:25 2006 UTC

# Line 20 | Line 20
20   \topmargin -21pt \headsep 10pt
21   \textheight 9.0in \textwidth 6.5in
22   \brokenpenalty=10000
23 < \renewcommand{\baselinestretch}{1.2}
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
28 + \renewcommand\caption[1]{%
29 +        \Caption[#1]{}%
30 + }
31  
32 +
33   \begin{document}
34  
35 < \title{Is the Ewald Summation necessary? Pairwise alternatives to the accepted standard for long-range electrostatics}
35 > \title{Is the Ewald summation still necessary? \\
36 > Pairwise alternatives to the accepted standard for
37 > long-range electrostatics in molecular simulations}
38  
39   \author{Christopher J. Fennell and J. Daniel Gezelter\footnote{Corresponding author. \ Electronic mail:
40   gezelter@nd.edu} \\
# Line 36 | Line 45 | Notre Dame, Indiana 46556}
45   \date{\today}
46  
47   \maketitle
48 < \doublespacing
48 > %\doublespacing
49  
41 \nobibliography{}
50   \begin{abstract}
51 < A new method for accumulating electrostatic interactions was derived
52 < from the previous efforts described in \bibentry{Wolf99} and
53 < \bibentry{Zahn02} as a possible replacement for lattice sum methods in
54 < molecular simulations.  Comparisons were performed with this and other
55 < pairwise electrostatic summation techniques against the smooth
56 < particle mesh Ewald (SPME) summation to see how well they reproduce
57 < the energetics and dynamics of a variety of simulation types.  The
58 < newly derived Shifted-Force technique shows a remarkable ability to
59 < reproduce the behavior exhibited in simulations using SPME with an
60 < $\mathscr{O}(N)$ computational cost, equivalent to merely the
61 < real-space portion of the lattice summation.
62 <
51 > We investigate pairwise electrostatic interaction methods and show
52 > that there are viable and computationally efficient $(\mathscr{O}(N))$
53 > alternatives to the Ewald summation for typical modern molecular
54 > simulations.  These methods are extended from the damped and
55 > cutoff-neutralized Coulombic sum originally proposed by
56 > [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
57 > a remarkable ability to reproduce the energetic and dynamic
58 > characteristics exhibited by simulations employing lattice summation
59 > techniques.  Comparisons were performed with this and other pairwise
60 > methods against the smooth particle mesh Ewald ({\sc spme}) summation
61 > to see how well they reproduce the energetics and dynamics of a
62 > variety of simulation types.
63   \end{abstract}
64  
65   \newpage
# Line 94 | Line 102 | explicit Ewald summation.\cite{Tobias01}
102   regarding possible artifacts caused by the inherent periodicity of the
103   explicit Ewald summation.\cite{Tobias01}
104  
105 < In this paper, we focus on a new set of shifted methods devised by
105 > In this paper, we focus on a new set of pairwise methods devised by
106   Wolf {\it et al.},\cite{Wolf99} which we further extend.  These
107   methods along with a few other mixed methods (i.e. reaction field) are
108   compared with the smooth particle mesh Ewald
# Line 105 | Line 113 | or which have one- or two-dimensional periodicity.  Be
113   to the direct pairwise sum.  They also lack the added periodicity of
114   the Ewald sum, so they can be used for systems which are non-periodic
115   or which have one- or two-dimensional periodicity.  Below, these
116 < methods are evaluated using a variety of model systems to establish
117 < their usability in molecular simulations.
116 > methods are evaluated using a variety of model systems to
117 > establish their usability in molecular simulations.
118  
119   \subsection{The Ewald Sum}
120 < The complete accumulation electrostatic interactions in a system with
120 > The complete accumulation of the electrostatic interactions in a system with
121   periodic boundary conditions (PBC) requires the consideration of the
122   effect of all charges within a (cubic) simulation box as well as those
123   in the periodic replicas,
# Line 154 | Line 162 | conditions, $\epsilon_{\rm S} = \infty$. Figure
162   system is said to be using conducting (or ``tin-foil'') boundary
163   conditions, $\epsilon_{\rm S} = \infty$. Figure
164   \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
165 < time.  Initially, due to the small sizes of the systems that could be
166 < feasibly simulated, the entire simulation box was replicated to
167 < convergence.  In more modern simulations, the simulation boxes have
168 < grown large enough that a real-space cutoff could potentially give
169 < convergent behavior.  Indeed, it has often been observed that the
170 < reciprocal-space portion of the Ewald sum can be small and rapidly
171 < convergent compared to the real-space portion with the choice of small
172 < $\alpha$.\cite{Karasawa89,Kolafa92}
165 > time.  Initially, due to the small system sizes that could be
166 > simulated feasibly, the entire simulation box was replicated to
167 > convergence.  In more modern simulations, the systems have grown large
168 > enough that a real-space cutoff could potentially give convergent
169 > behavior.  Indeed, it has been observed that with the choice of a
170 > small $\alpha$, the reciprocal-space portion of the Ewald sum can be
171 > rapidly convergent and small relative to the real-space
172 > portion.\cite{Karasawa89,Kolafa92}
173  
174   \begin{figure}
175   \centering
176   \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
177 < \caption{How the application of the Ewald summation has changed with
178 < the increase in computer power.  Initially, only small numbers of
179 < particles could be studied, and the Ewald sum acted to replicate the
180 < unit cell charge distribution out to convergence.  Now, much larger
181 < 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.}
177 > \caption{The change in the need for the Ewald sum with
178 > increasing computational power.  A:~Initially, only small systems
179 > could be studied, and the Ewald sum replicated the simulation box to
180 > convergence.  B:~Now, radial cutoff methods should be able to reach
181 > convergence for the larger systems of charges that are common today.}
182   \label{fig:ewaldTime}
183   \end{figure}
184  
# Line 202 | Line 208 | can prove problematic.  The Ewald sum has been reformu
208   interfaces and membranes, the intrinsic three-dimensional periodicity
209   can prove problematic.  The Ewald sum has been reformulated to handle
210   2D systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the
211 < new methods are computationally expensive.\cite{Spohr97,Yeh99}
212 < Inclusion of a correction term in the Ewald summation is a possible
213 < direction for handling 2D systems while still enabling the use of the
214 < modern optimizations.\cite{Yeh99}
211 > new methods are computationally expensive.\cite{Spohr97,Yeh99} More
212 > recently, there have been several successful efforts toward reducing
213 > the computational cost of 2D lattice summations, often enabling the
214 > use of the mentioned
215 > optimizations.\cite{Yeh99,Kawata01,Arnold02,deJoannis02,Brodka04}
216  
217   Several studies have recognized that the inherent periodicity in the
218   Ewald sum can also have an effect on three-dimensional
# Line 228 | Line 235 | charge neutrality and gives results similar to those o
235   charge contained within the cutoff radius is crucial for potential
236   stability. They devised a pairwise summation method that ensures
237   charge neutrality and gives results similar to those obtained with the
238 < Ewald summation.  The resulting shifted Coulomb potential
239 < (Eq. \ref{eq:WolfPot}) includes image-charges subtracted out through
240 < placement on the cutoff sphere and a distance-dependent damping
241 < function (identical to that seen in the real-space portion of the
235 < Ewald sum) to aid convergence
238 > Ewald summation.  The resulting shifted Coulomb potential includes
239 > image-charges subtracted out through placement on the cutoff sphere
240 > and a distance-dependent damping function (identical to that seen in
241 > the real-space portion of the Ewald sum) to aid convergence
242   \begin{equation}
243   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\}.
244   \label{eq:WolfPot}
# Line 518 | Line 524 | studying the energy differences between conformations.
524   The pairwise summation techniques (outlined in section
525   \ref{sec:ESMethods}) were evaluated for use in MC simulations by
526   studying the energy differences between conformations.  We took the
527 < SPME-computed energy difference between two conformations to be the
527 > {\sc spme}-computed energy difference between two conformations to be the
528   correct behavior. An ideal performance by an alternative method would
529   reproduce these energy differences exactly (even if the absolute
530   energies calculated by the methods are different).  Since none of the
# Line 526 | Line 532 | correlation (slope) and correlation coefficient for th
532   regressions of energy gap data to evaluate how closely the methods
533   mimicked the Ewald energy gaps.  Unitary results for both the
534   correlation (slope) and correlation coefficient for these regressions
535 < indicate perfect agreement between the alternative method and SPME.
535 > indicate perfect agreement between the alternative method and {\sc spme}.
536   Sample correlation plots for two alternate methods are shown in
537   Fig. \ref{fig:linearFit}.
538  
# Line 540 | Line 546 | shows a data set with a good correlation coefficient.}
546   \label{fig:linearFit}
547   \end{figure}
548  
549 < Each system type (detailed in section \ref{sec:RepSims}) was
550 < represented using 500 independent configurations.  Additionally, we
551 < used seven different system types, so each of the alternative
552 < (non-Ewald) electrostatic summation methods was evaluated using
553 < 873,250 configurational energy differences.
549 > Each of the seven system types (detailed in section \ref{sec:RepSims})
550 > were represented using 500 independent configurations.  Thus, each of
551 > the alternative (non-Ewald) electrostatic summation methods was
552 > evaluated using an accumulated 873,250 configurational energy
553 > differences.
554  
555   Results and discussion for the individual analysis of each of the
556 < system types appear in the supporting information, while the
557 < cumulative results over all the investigated systems appears below in
558 < section \ref{sec:EnergyResults}.
556 > system types appear in the supporting information,\cite{EPAPSdeposit}
557 > while the cumulative results over all the investigated systems appears
558 > below in section \ref{sec:EnergyResults}.
559  
560   \subsection{Molecular Dynamics and the Force and Torque Vectors}\label{sec:MDMethods}
561   We evaluated the pairwise methods (outlined in section
562   \ref{sec:ESMethods}) for use in MD simulations by
563   comparing the force and torque vectors with those obtained using the
564 < reference Ewald summation (SPME).  Both the magnitude and the
564 > reference Ewald summation ({\sc spme}).  Both the magnitude and the
565   direction of these vectors on each of the bodies in the system were
566   analyzed.  For the magnitude of these vectors, linear least squares
567   regression analyses were performed as described previously for
# Line 570 | Line 576 | investigated through measurement of the angle ($\theta
576  
577   The {\it directionality} of the force and torque vectors was
578   investigated through measurement of the angle ($\theta$) formed
579 < between those computed from the particular method and those from SPME,
579 > between those computed from the particular method and those from {\sc spme},
580   \begin{equation}
581   \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
582   \end{equation}
583 < where $\hat{f}_\textrm{M}$ is the unit vector pointing along the force
584 < vector computed using method M.
585 <
586 < 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
583 > where $\hat{F}_\textrm{M}$ is the unit vector pointing along the force
584 > vector computed using method M.  Each of these $\theta$ values was
585 > accumulated in a distribution function and weighted by the area on the
586 > unit sphere.  Since this distribution is a measure of angular error
587   between two different electrostatic summation methods, there is no
588 < {\it a priori} reason for the profile to adhere to any specific shape.
589 < Gaussian fits was used to compare all the tested methods.  The
590 < variance ($\sigma^2$) was extracted from each of these fits and was
591 < used to compare distribution widths.  Values of $\sigma^2$ near zero
592 < indicate vector directions indistinguishable from those calculated
593 < when using the reference method (SPME).
588 > {\it a priori} reason for the profile to adhere to any specific
589 > shape. Thus, gaussian fits were used to measure the width of the
590 > resulting distributions. The variance ($\sigma^2$) was extracted from
591 > each of these fits and was used to compare distribution widths.
592 > Values of $\sigma^2$ near zero indicate vector directions
593 > indistinguishable from those calculated when using the reference
594 > method ({\sc spme}).
595  
596   \subsection{Short-time Dynamics}
597  
# Line 616 | Line 606 | of the trajectories,
606   autocorrelation functions (Eq. \ref{eq:vCorr}) were computed for each
607   of the trajectories,
608   \begin{equation}
609 < C_v(t) = \frac{\langle v_i(0)\cdot v_i(t)\rangle}{\langle v_i(0)\cdot v_i(0)\rangle}.
609 > C_v(t) = \frac{\langle v(0)\cdot v(t)\rangle}{\langle v^2\rangle}.
610   \label{eq:vCorr}
611   \end{equation}
612   Velocity autocorrelation functions require detailed short time data,
# Line 629 | Line 619 | the {\it long-time} dynamics of charged systems were e
619  
620   The effects of the same subset of alternative electrostatic methods on
621   the {\it long-time} dynamics of charged systems were evaluated using
622 < the same model system (NaCl crystals at 1000K).  The power spectrum
622 > the same model system (NaCl crystals at 1000~K).  The power spectrum
623   ($I(\omega)$) was obtained via Fourier transform of the velocity
624   autocorrelation function, \begin{equation} I(\omega) =
625   \frac{1}{2\pi}\int^{\infty}_{-\infty}C_v(t)e^{-i\omega t}dt,
# Line 639 | Line 629 | were performed under the microcanonical ensemble, and
629   NaCl crystal is composed of two different atom types, the average of
630   the two resulting power spectra was used for comparisons. Simulations
631   were performed under the microcanonical ensemble, and velocity
632 < information was saved every 5 fs over 100 ps trajectories.
632 > information was saved every 5~fs over 100~ps trajectories.
633  
634   \subsection{Representative Simulations}\label{sec:RepSims}
635 < A variety of representative simulations were analyzed to determine the
636 < relative effectiveness of the pairwise summation techniques in
637 < reproducing the energetics and dynamics exhibited by SPME.  We wanted
638 < to span the space of modern simulations (i.e. from liquids of neutral
639 < molecules to ionic crystals), so the systems studied were:
635 > A variety of representative molecular simulations were analyzed to
636 > determine the relative effectiveness of the pairwise summation
637 > techniques in reproducing the energetics and dynamics exhibited by
638 > {\sc spme}.  We wanted to span the space of typical molecular
639 > simulations (i.e. from liquids of neutral molecules to ionic
640 > crystals), so the systems studied were:
641   \begin{enumerate}
642   \item liquid water (SPC/E),\cite{Berendsen87}
643   \item crystalline water (Ice I$_\textrm{c}$ crystals of SPC/E),
# Line 669 | Line 660 | these systems were selected and equilibrated in the sa
660   the crystal).  The solid and liquid NaCl systems consisted of 500
661   $\textrm{Na}^{+}$ and 500 $\textrm{Cl}^{-}$ ions.  Configurations for
662   these systems were selected and equilibrated in the same manner as the
663 < water systems.  The equilibrated temperatures were 1000~K for the NaCl
664 < crystal and 7000~K for the liquid. The ionic solutions were made by
665 < solvating 4 (or 40) ions in a periodic box containing 1000 SPC/E water
666 < molecules.  Ion and water positions were then randomly swapped, and
667 < the resulting configurations were again equilibrated individually.
668 < Finally, for the Argon / Water ``charge void'' systems, the identities
669 < of all the SPC/E waters within 6 \AA\ of the center of the
670 < equilibrated water configurations were converted to argon
671 < (Fig. \ref{fig:argonSlice}).
663 > water systems. In order to introduce measurable fluctuations in the
664 > configuration energy differences, the crystalline simulations were
665 > equilibrated at 1000~K, near the $T_\textrm{m}$ for NaCl. The liquid
666 > NaCl configurations needed to represent a fully disordered array of
667 > point charges, so the high temperature of 7000~K was selected for
668 > equilibration. The ionic solutions were made by solvating 4 (or 40)
669 > ions in a periodic box containing 1000 SPC/E water molecules.  Ion and
670 > water positions were then randomly swapped, and the resulting
671 > configurations were again equilibrated individually.  Finally, for the
672 > Argon / Water ``charge void'' systems, the identities of all the SPC/E
673 > waters within 6 \AA\ of the center of the equilibrated water
674 > configurations were converted to argon.
675  
676   These procedures guaranteed us a set of representative configurations
677 < from chemically-relevant systems sampled from an appropriate
678 < ensemble. Force field parameters for the ions and Argon were taken
677 > from chemically-relevant systems sampled from appropriate
678 > ensembles. Force field parameters for the ions and Argon were taken
679   from the force field utilized by {\sc oopse}.\cite{Meineke05}
680  
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
681   \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
682   We compared the following alternative summation methods with results
683 < from the reference method (SPME):
683 > from the reference method ({\sc spme}):
684   \begin{itemize}
685   \item {\sc sp} with damping parameters ($\alpha$) of 0.0, 0.1, 0.2,
686   and 0.3 \AA$^{-1}$,
# Line 706 | Line 691 | were utilized for the reaction field simulations.  Add
691   \end{itemize}
692   Group-based cutoffs with a fifth-order polynomial switching function
693   were utilized for the reaction field simulations.  Additionally, we
694 < investigated the use of these cutoffs with the SP, SF, and pure
695 < cutoff.  The SPME electrostatics were performed using the TINKER
696 < implementation of SPME,\cite{Ponder87} while all other method
697 < calculations were performed using the OOPSE molecular mechanics
694 > investigated the use of these cutoffs with the {\sc sp}, {\sc sf}, and pure
695 > cutoff.  The {\sc spme} electrostatics were performed using the {\sc tinker}
696 > implementation of {\sc spme},\cite{Ponder87} while all other calculations
697 > were performed using the {\sc oopse} molecular mechanics
698   package.\cite{Meineke05} All other portions of the energy calculation
699   (i.e. Lennard-Jones interactions) were handled in exactly the same
700   manner across all systems and configurations.
701  
702 < The althernative methods were also evaluated with three different
702 > The alternative methods were also evaluated with three different
703   cutoff radii (9, 12, and 15 \AA).  As noted previously, the
704   convergence parameter ($\alpha$) plays a role in the balance of the
705   real-space and reciprocal-space portions of the Ewald calculation.
706   Typical molecular mechanics packages set this to a value dependent on
707   the cutoff radius and a tolerance (typically less than $1 \times
708   10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
709 < increased accuracy at the expense of increased time spent calculating
710 < the reciprocal-space portion of the
711 < summation.\cite{Perram88,Essmann95} The default TINKER tolerance of $1
712 < \times 10^{-8}$ kcal/mol was used in all SPME calculations, resulting
713 < in Ewald Coefficients of 0.4200, 0.3119, and 0.2476 \AA$^{-1}$ for
714 < cutoff radii of 9, 12, and 15 \AA\ respectively.
709 > increasing accuracy at the expense of computational time spent on the
710 > reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
711 > The default {\sc tinker} tolerance of $1 \times 10^{-8}$ kcal/mol was used
712 > in all {\sc spme} calculations, resulting in Ewald coefficients of 0.4200,
713 > 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
714 > respectively.
715  
716   \section{Results and Discussion}
717  
# Line 734 | Line 719 | between configurations were compared to the values obt
719   In order to evaluate the performance of the pairwise electrostatic
720   summation methods for Monte Carlo simulations, the energy differences
721   between configurations were compared to the values obtained when using
722 < SPME.  The results for the subsequent regression analysis are shown in
722 > {\sc spme}.  The results for the subsequent regression analysis are shown in
723   figure \ref{fig:delE}.
724  
725   \begin{figure}
# Line 744 | Line 729 | indicate $\Delta E$ values indistinguishable from thos
729   differences for a given electrostatic method compared with the
730   reference Ewald sum.  Results with a value equal to 1 (dashed line)
731   indicate $\Delta E$ values indistinguishable from those obtained using
732 < SPME.  Different values of the cutoff radius are indicated with
732 > {\sc spme}.  Different values of the cutoff radius are indicated with
733   different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
734   inverted triangles).}
735   \label{fig:delE}
# Line 766 | Line 751 | readers can consult the accompanying supporting inform
751   significant improvement using the group-switched cutoff because the
752   salt and salt solution systems contain non-neutral groups.  Interested
753   readers can consult the accompanying supporting information for a
754 < comparison where all groups are neutral.
754 > comparison where all groups are neutral.\cite{EPAPSdeposit}
755  
756 < For the {\sc sp} method, inclusion of potential damping improves the
757 < agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$ shows
758 < an excellent correlation and quality of fit with the SPME results,
759 < particularly with a cutoff radius greater than 12
756 > For the {\sc sp} method, inclusion of electrostatic damping improves
757 > the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
758 > shows an excellent correlation and quality of fit with the {\sc spme}
759 > results, particularly with a cutoff radius greater than 12
760   \AA .  Use of a larger damping parameter is more helpful for the
761   shortest cutoff shown, but it has a detrimental effect on simulations
762   with larger cutoffs.  
763  
764 < In the {\sc sf} sets, increasing damping results in progressively
765 < worse correlation with Ewald.  Overall, the undamped case is the best
764 > In the {\sc sf} sets, increasing damping results in progressively {\it
765 > worse} correlation with Ewald.  Overall, the undamped case is the best
766   performing set, as the correlation and quality of fits are
767   consistently superior regardless of the cutoff distance.  The undamped
768   case is also less computationally demanding (because no evaluation of
# Line 792 | Line 777 | simulations requires consideration of effects on the f
777  
778   Evaluation of pairwise methods for use in Molecular Dynamics
779   simulations requires consideration of effects on the forces and
780 < torques.  Investigation of the force and torque vector magnitudes
781 < provides a measure of the strength of these values relative to SPME.
782 < Figures \ref{fig:frcMag} and \ref{fig:trqMag} respectively show the
783 < force and torque vector magnitude regression results for the
799 < accumulated analysis over all the system types.
780 > torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
781 > regression results for the force and torque vector magnitudes,
782 > respectively.  The data in these figures was generated from an
783 > accumulation of the statistics from all of the system types.
784  
785   \begin{figure}
786   \centering
787   \includegraphics[width=5.5in]{./frcMagplot.pdf}
788 < \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).}
788 > \caption{Statistical analysis of the quality of the force vector
789 > magnitudes for a given electrostatic method compared with the
790 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
791 > indicate force magnitude values indistinguishable from those obtained
792 > using {\sc spme}.  Different values of the cutoff radius are indicated with
793 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
794 > inverted triangles).}
795   \label{fig:frcMag}
796   \end{figure}
797  
798 + Again, it is striking how well the Shifted Potential and Shifted Force
799 + methods are doing at reproducing the {\sc spme} forces.  The undamped and
800 + weakly-damped {\sc sf} method gives the best agreement with Ewald.
801 + This is perhaps expected because this method explicitly incorporates a
802 + smooth transition in the forces at the cutoff radius as well as the
803 + neutralizing image charges.
804 +
805   Figure \ref{fig:frcMag}, for the most part, parallels the results seen
806   in the previous $\Delta E$ section.  The unmodified cutoff results are
807   poor, but using group based cutoffs and a switching function provides
808 < a improvement much more significant than what was seen with $\Delta
809 < E$.  Looking at the {\sc sp} sets, the slope and $R^2$
810 < improve with the use of damping to an optimal result of 0.2 \AA
811 < $^{-1}$ for the 12 and 15 \AA\ cutoffs.  Further increases in damping,
808 > an improvement much more significant than what was seen with $\Delta
809 > E$.
810 >
811 > With moderate damping and a large enough cutoff radius, the {\sc sp}
812 > method is generating usable forces.  Further increases in damping,
813   while beneficial for simulations with a cutoff radius of 9 \AA\ , is
814 < detrimental to simulations with larger cutoff radii.  The undamped
815 < {\sc sf} method gives forces in line with those obtained using
816 < SPME, and use of a damping function results in minor improvement.  The
819 < reaction field results are surprisingly good, considering the poor
814 > detrimental to simulations with larger cutoff radii.
815 >
816 > The reaction field results are surprisingly good, considering the poor
817   quality of the fits for the $\Delta E$ results.  There is still a
818 < considerable degree of scatter in the data, but it correlates well in
819 < general.  To be fair, we again note that the reaction field
820 < calculations do not encompass NaCl crystal and melt systems, so these
818 > considerable degree of scatter in the data, but the forces correlate
819 > well with the Ewald forces in general.  We note that the reaction
820 > field calculations do not include the pure NaCl systems, so these
821   results are partly biased towards conditions in which the method
822   performs more favorably.
823  
824   \begin{figure}
825   \centering
826   \includegraphics[width=5.5in]{./trqMagplot.pdf}
827 < \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).}
827 > \caption{Statistical analysis of the quality of the torque vector
828 > magnitudes for a given electrostatic method compared with the
829 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
830 > indicate torque magnitude values indistinguishable from those obtained
831 > using {\sc spme}.  Different values of the cutoff radius are indicated with
832 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
833 > inverted triangles).}
834   \label{fig:trqMag}
835   \end{figure}
836  
837 < To evaluate the torque vector magnitudes, the data set from which
838 < values are drawn is limited to rigid molecules in the systems
839 < (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.
837 > Molecular torques were only available from the systems which contained
838 > rigid molecules (i.e. the systems containing water).  The data in
839 > fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
840  
841 + Torques appear to be much more sensitive to charges at a longer
842 + distance.   The striking feature in comparing the new electrostatic
843 + methods with {\sc spme} is how much the agreement improves with increasing
844 + cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
845 + appears to be reproducing the {\sc spme} torques most accurately.  
846 +
847 + Water molecules are dipolar, and the reaction field method reproduces
848 + the effect of the surrounding polarized medium on each of the
849 + molecular bodies. Therefore it is not surprising that reaction field
850 + performs best of all of the methods on molecular torques.
851 +
852   \subsection{Directionality of the Force and Torque Vectors}
853  
854 < Having force and torque vectors with magnitudes that are well
855 < correlated to SPME is good, but if they are not pointing in the proper
856 < direction the results will be incorrect.  These vector directions were
857 < investigated through measurement of the angle formed between them and
858 < those from SPME.  The results (Fig. \ref{fig:frcTrqAng}) are compared
859 < through the variance ($\sigma^2$) of the Gaussian fits of the angle
860 < error distributions of the combined set over all system types.
854 > It is clearly important that a new electrostatic method can reproduce
855 > the magnitudes of the force and torque vectors obtained via the Ewald
856 > sum. However, the {\it directionality} of these vectors will also be
857 > vital in calculating dynamical quantities accurately.  Force and
858 > torque directionalities were investigated by measuring the angles
859 > formed between these vectors and the same vectors calculated using
860 > {\sc spme}.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
861 > variance ($\sigma^2$) of the Gaussian fits of the angle error
862 > distributions of the combined set over all system types.
863  
864   \begin{figure}
865   \centering
866   \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
867 < \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).}
867 > \caption{Statistical analysis of the width of the angular distribution
868 > that the force and torque vectors from a given electrostatic method
869 > make with their counterparts obtained using the reference Ewald sum.
870 > Results with a variance ($\sigma^2$) equal to zero (dashed line)
871 > indicate force and torque directions indistinguishable from those
872 > obtained using {\sc spme}.  Different values of the cutoff radius are
873 > indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
874 > and 15\AA\ = inverted triangles).}
875   \label{fig:frcTrqAng}
876   \end{figure}
877  
878   Both the force and torque $\sigma^2$ results from the analysis of the
879   total accumulated system data are tabulated in figure
880 < \ref{fig:frcTrqAng}.  All of the sets, aside from the over-damped case
881 < show the improvement afforded by choosing a longer simulation cutoff.
882 < Increasing the cutoff from 9 to 12 \AA\ typically results in a halving
883 < of the distribution widths, with a similar improvement going from 12
884 < to 15 \AA .  The undamped {\sc sf}, Group Based Cutoff, and
885 < Reaction Field methods all do equivalently well at capturing the
872 < direction of both the force and torque vectors.  Using damping
873 < improves the angular behavior significantly for the {\sc sp}
874 < and moderately for the {\sc sf} methods.  Increasing the damping
875 < too far is destructive for both methods, particularly to the torque
876 < vectors.  Again it is important to recognize that the force vectors
877 < cover all particles in the systems, while torque vectors are only
878 < available for neutral molecular groups.  Damping appears to have a
879 < more beneficial effect on non-neutral bodies, and this observation is
880 < investigated further in the accompanying supporting information.
880 > \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
881 > sp}) method would be essentially unusable for molecular dynamics
882 > unless the damping function is added.  The Shifted Force ({\sc sf})
883 > method, however, is generating force and torque vectors which are
884 > within a few degrees of the Ewald results even with weak (or no)
885 > damping.
886  
887 + All of the sets (aside from the over-damped case) show the improvement
888 + afforded by choosing a larger cutoff radius.  Increasing the cutoff
889 + from 9 to 12 \AA\ typically results in a halving of the width of the
890 + distribution, with a similar improvement when going from 12 to 15
891 + \AA .
892 +
893 + The undamped {\sc sf}, group-based cutoff, and reaction field methods
894 + all do equivalently well at capturing the direction of both the force
895 + and torque vectors.  Using the electrostatic damping improves the
896 + angular behavior significantly for the {\sc sp} and moderately for the
897 + {\sc sf} methods.  Overdamping is detrimental to both methods.  Again
898 + it is important to recognize that the force vectors cover all
899 + particles in all seven systems, while torque vectors are only
900 + available for neutral molecular groups.  Damping is more beneficial to
901 + charged bodies, and this observation is investigated further in the
902 + accompanying supporting information.\cite{EPAPSdeposit}
903 +
904 + Although not discussed previously, group based cutoffs can be applied
905 + to both the {\sc sp} and {\sc sf} methods.  The group-based cutoffs
906 + will reintroduce small discontinuities at the cutoff radius, but the
907 + effects of these can be minimized by utilizing a switching function.
908 + Though there are no significant benefits or drawbacks observed in
909 + $\Delta E$ and the force and torque magnitudes when doing this, there
910 + is a measurable improvement in the directionality of the forces and
911 + torques. Table \ref{tab:groupAngle} shows the angular variances
912 + obtained using group based cutoffs along with the results seen in
913 + figure \ref{fig:frcTrqAng}.  The {\sc sp} (with an $\alpha$ of 0.2
914 + \AA$^{-1}$ or smaller) shows much narrower angular distributions when
915 + using group-based cutoffs. The {\sc sf} method likewise shows
916 + improvement in the undamped and lightly damped cases.
917 +
918   \begin{table}[htbp]
919 <   \centering
920 <   \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$^2$.}  
919 >   \centering
920 >   \caption{Statistical analysis of the angular
921 >   distributions that the force (upper) and torque (lower) vectors
922 >   from a given electrostatic method make with their counterparts
923 >   obtained using the reference Ewald sum.  Calculations were
924 >   performed both with (Y) and without (N) group based cutoffs and a
925 >   switching function.  The $\alpha$ values have units of \AA$^{-1}$
926 >   and the variance values have units of degrees$^2$.}
927 >
928     \begin{tabular}{@{} ccrrrrrrrr @{}}
929        \\
930        \toprule
# Line 912 | Line 955 | investigated further in the accompanying supporting in
955     \label{tab:groupAngle}
956   \end{table}
957  
958 < Although not discussed previously, group based cutoffs can be applied
959 < to both the {\sc sp} and {\sc sf} methods.  Use off a
960 < switching function corrects for the discontinuities that arise when
961 < atoms of a group exit the cutoff before the group's center of mass.
962 < Though there are no significant benefit or drawbacks observed in
963 < $\Delta E$ and vector magnitude results when doing this, there is a
964 < measurable improvement in the vector angle results.  Table
965 < \ref{tab:groupAngle} shows the angular variance values obtained using
966 < group based cutoffs and a switching function alongside the standard
967 < results seen in figure \ref{fig:frcTrqAng} for comparison purposes.
968 < The {\sc sp} shows much narrower angular distributions for
969 < both the force and torque vectors when using an $\alpha$ of 0.2
970 < \AA$^{-1}$ or less, while {\sc sf} shows improvements in the
971 < undamped and lightly damped cases.  Thus, by calculating the
972 < electrostatic interactions in terms of molecular pairs rather than
973 < atomic pairs, the direction of the force and torque vectors are
974 < determined more accurately.
958 > One additional trend in table \ref{tab:groupAngle} is that the
959 > $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as $\alpha$
960 > increases, something that is more obvious with group-based cutoffs.
961 > The complimentary error function inserted into the potential weakens
962 > the electrostatic interaction as the value of $\alpha$ is increased.
963 > However, at larger values of $\alpha$, it is possible to overdamp the
964 > electrostatic interaction and to remove it completely.  Kast
965 > \textit{et al.}  developed a method for choosing appropriate $\alpha$
966 > values for these types of electrostatic summation methods by fitting
967 > to $g(r)$ data, and their methods indicate optimal values of 0.34,
968 > 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
969 > respectively.\cite{Kast03} These appear to be reasonable choices to
970 > obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
971 > these findings, choices this high would introduce error in the
972 > molecular torques, particularly for the shorter cutoffs.  Based on our
973 > observations, empirical damping up to 0.2 \AA$^{-1}$ is beneficial,
974 > but damping may be unnecessary when using the {\sc sf} method.
975  
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
976   \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
977  
978 < In the previous studies using a {\sc sf} variant of the damped
979 < Wolf coulomb potential, the structure and dynamics of water were
980 < investigated rather extensively.\cite{Zahn02,Kast03} Their results
981 < indicated that the damped {\sc sf} method results in properties
982 < very similar to those obtained when using the Ewald summation.
983 < Considering the statistical results shown above, the good performance
984 < of this method is not that surprising.  Rather than consider the same
985 < systems and simply recapitulate their results, we decided to look at
986 < the solid state dynamical behavior obtained using the best performing
987 < summation methods from the above results.
978 > Zahn {\it et al.} investigated the structure and dynamics of water
979 > using eqs. (\ref{eq:ZahnPot}) and
980 > (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
981 > that a method similar (but not identical with) the damped {\sc sf}
982 > method resulted in properties very similar to those obtained when
983 > using the Ewald summation.  The properties they studied (pair
984 > distribution functions, diffusion constants, and velocity and
985 > orientational correlation functions) may not be particularly sensitive
986 > to the long-range and collective behavior that governs the
987 > low-frequency behavior in crystalline systems.  Additionally, the
988 > ionic crystals are the worst case scenario for the pairwise methods
989 > because they lack the reciprocal space contribution contained in the
990 > Ewald summation.  
991  
992 + We are using two separate measures to probe the effects of these
993 + alternative electrostatic methods on the dynamics in crystalline
994 + materials.  For short- and intermediate-time dynamics, we are
995 + computing the velocity autocorrelation function, and for long-time
996 + and large length-scale collective motions, we are looking at the
997 + low-frequency portion of the power spectrum.
998 +
999   \begin{figure}
1000   \centering
1001   \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
1002 < \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.}
1002 > \caption{Velocity autocorrelation functions of NaCl crystals at
1003 > 1000 K using {\sc spme}, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
1004 > sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
1005 > the first minimum.  The times to first collision are nearly identical,
1006 > but differences can be seen in the peaks and troughs, where the
1007 > undamped and weakly damped methods are stiffer than the moderately
1008 > damped and {\sc spme} methods.}
1009   \label{fig:vCorrPlot}
1010   \end{figure}
1011  
1012 < The short-time decays through the first collision are nearly identical
1013 < in figure \ref{fig:vCorrPlot}, but the peaks and troughs of the
1014 < functions show how the methods differ.  The undamped {\sc sf} method
1015 < has deeper troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher
1016 < peaks than any of the other methods.  As the damping function is
1017 < increased, these peaks are smoothed out, and approach the SPME
1018 < curve. The damping acts as a distance dependent Gaussian screening of
1019 < the point charges for the pairwise summation methods; thus, the
1020 < collisions are more elastic in the undamped {\sc sf} potential, and the
1021 < stiffness of the potential is diminished as the electrostatic
1022 < interactions are softened by the damping function.  With $\alpha$
1023 < values of 0.2 \AA$^{-1}$, the {\sc sf} and {\sc sp} functions are
1024 < nearly identical and track the SPME features quite well.  This is not
1025 < too surprising in that the differences between the {\sc sf} and {\sc
1026 < 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.
1012 > The short-time decay of the velocity autocorrelation function through
1013 > the first collision are nearly identical in figure
1014 > \ref{fig:vCorrPlot}, but the peaks and troughs of the functions show
1015 > how the methods differ.  The undamped {\sc sf} method has deeper
1016 > troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher peaks than
1017 > any of the other methods.  As the damping parameter ($\alpha$) is
1018 > increased, these peaks are smoothed out, and the {\sc sf} method
1019 > approaches the {\sc spme} results.  With $\alpha$ values of 0.2 \AA$^{-1}$,
1020 > the {\sc sf} and {\sc sp} functions are nearly identical and track the
1021 > {\sc spme} features quite well.  This is not surprising because the {\sc sf}
1022 > and {\sc sp} potentials become nearly identical with increased
1023 > damping.  However, this appears to indicate that once damping is
1024 > utilized, the details of the form of the potential (and forces)
1025 > constructed out of the damped electrostatic interaction are less
1026 > important.
1027  
1028   \subsection{Collective Motion: Power Spectra of NaCl Crystals}
1029  
1030 < The short time dynamics were extended to evaluate how the differences
1031 < between the methods affect the collective long-time motion.  The same
1032 < electrostatic summation methods were used as in the short time
1033 < velocity autocorrelation function evaluation, but the trajectories
1034 < were sampled over a much longer time. The power spectra of the
1035 < resulting velocity autocorrelation functions were calculated and are
1036 < displayed in figure \ref{fig:methodPS}.
1030 > To evaluate how the differences between the methods affect the
1031 > collective long-time motion, we computed power spectra from long-time
1032 > traces of the velocity autocorrelation function. The power spectra for
1033 > the best-performing alternative methods are shown in
1034 > fig. \ref{fig:methodPS}.  Apodization of the correlation functions via
1035 > a cubic switching function between 40 and 50 ps was used to reduce the
1036 > ringing resulting from data truncation.  This procedure had no
1037 > noticeable effect on peak location or magnitude.
1038  
1039   \begin{figure}
1040   \centering
1041   \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1042 < \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.}
1042 > \caption{Power spectra obtained from the velocity auto-correlation
1043 > functions of NaCl crystals at 1000 K while using {\sc spme}, {\sc sf}
1044 > ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).  The inset
1045 > shows the frequency region below 100 cm$^{-1}$ to highlight where the
1046 > spectra differ.}
1047   \label{fig:methodPS}
1048   \end{figure}
1049  
1050 < While high frequency peaks of the spectra in this figure overlap,
1051 < showing the same general features, the low frequency region shows how
1052 < the summation methods differ.  Considering the low-frequency inset
1053 < (expanded in the upper frame of figure \ref{fig:dampInc}), at
1054 < frequencies below 100 cm$^{-1}$, the correlated motions are
1055 < blue-shifted when using undamped or weakly damped {\sc sf}.  When
1056 < using moderate damping ($\alpha = 0.2$ \AA$^{-1}$) both the {\sc sf}
1057 < and {\sc sp} methods give near identical correlated motion behavior as
1058 < the Ewald method (which has a damping value of 0.3119).  This
1059 < weakening of the electrostatic interaction with increased damping
1060 < explains why the long-ranged correlated motions are at lower
1061 < frequencies for the moderately damped methods than for undamped or
1062 < weakly damped methods.  To see this effect more clearly, we show how
1063 < damping strength alone affects a simple real-space electrostatic
1064 < potential,
1065 < \begin{equation}
1066 < V_\textrm{damped}=\sum^N_i\sum^N_{j\ne i}q_iq_j\left[\frac{\textrm{erfc}({\alpha r})}{r}\right]S(r),
1067 < \end{equation}
1068 < where $S(r)$ is a switching function that smoothly zeroes the
1069 < potential at the cutoff radius.  Figure \ref{fig:dampInc} shows how
1070 < the low frequency motions are dependent on the damping used in the
1071 < direct electrostatic sum.  As the damping increases, the peaks drop to
1072 < lower frequencies.  Incidentally, use of an $\alpha$ of 0.25
1073 < \AA$^{-1}$ on a simple electrostatic summation results in low
1074 < frequency correlated dynamics equivalent to a simulation using SPME.
1075 < When the coefficient lowers to 0.15 \AA$^{-1}$ and below, these peaks
1076 < shift to higher frequency in exponential fashion.  Though not shown,
1077 < 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.
1050 > While the high frequency regions of the power spectra for the
1051 > alternative methods are quantitatively identical with Ewald spectrum,
1052 > the low frequency region shows how the summation methods differ.
1053 > Considering the low-frequency inset (expanded in the upper frame of
1054 > figure \ref{fig:dampInc}), at frequencies below 100 cm$^{-1}$, the
1055 > correlated motions are blue-shifted when using undamped or weakly
1056 > damped {\sc sf}.  When using moderate damping ($\alpha = 0.2$
1057 > \AA$^{-1}$) both the {\sc sf} and {\sc sp} methods give nearly identical
1058 > correlated motion to the Ewald method (which has a convergence
1059 > parameter of 0.3119 \AA$^{-1}$).  This weakening of the electrostatic
1060 > interaction with increased damping explains why the long-ranged
1061 > correlated motions are at lower frequencies for the moderately damped
1062 > methods than for undamped or weakly damped methods.
1063 >
1064 > To isolate the role of the damping constant, we have computed the
1065 > spectra for a single method ({\sc sf}) with a range of damping
1066 > constants and compared this with the {\sc spme} spectrum.
1067 > Fig. \ref{fig:dampInc} shows more clearly that increasing the
1068 > electrostatic damping red-shifts the lowest frequency phonon modes.
1069 > However, even without any electrostatic damping, the {\sc sf} method
1070 > has at most a 10 cm$^{-1}$ error in the lowest frequency phonon mode.
1071 > Without the {\sc sf} modifications, an undamped (pure cutoff) method
1072 > would predict the lowest frequency peak near 325 cm$^{-1}$.  {\it
1073 > Most} of the collective behavior in the crystal is accurately captured
1074 > using the {\sc sf} method.  Quantitative agreement with Ewald can be
1075 > obtained using moderate damping in addition to the shifting at the
1076 > cutoff distance.
1077 >
1078   \begin{figure}
1079   \centering
1080 < \includegraphics[width = \linewidth]{./comboSquare.pdf}
1081 < \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.}
1080 > \includegraphics[width = \linewidth]{./increasedDamping.pdf}
1081 > \caption{Effect of damping on the two lowest-frequency phonon modes in
1082 > the NaCl crystal at 1000~K.  The undamped shifted force ({\sc sf})
1083 > method is off by less than 10 cm$^{-1}$, and increasing the
1084 > electrostatic damping to 0.25 \AA$^{-1}$ gives quantitative agreement
1085 > with the power spectrum obtained using the Ewald sum.  Overdamping can
1086 > result in underestimates of frequencies of the long-wavelength
1087 > motions.}
1088   \label{fig:dampInc}
1089   \end{figure}
1090  
1091   \section{Conclusions}
1092  
1093   This investigation of pairwise electrostatic summation techniques
1094 < shows that there are viable and more computationally efficient
1095 < electrostatic summation techniques than the Ewald summation, chiefly
1096 < methods derived from the damped Coulombic sum originally proposed by
1097 < Wolf \textit{et al.}\cite{Wolf99,Zahn02} In particular, the
1098 < {\sc sf} method, reformulated above as eq. (\ref{eq:DSFPot}),
1099 < shows a remarkable ability to reproduce the energetic and dynamic
1100 < characteristics exhibited by simulations employing lattice summation
1101 < techniques.  The cumulative energy difference results showed the
1102 < undamped {\sc sf} and moderately damped {\sc sp} methods
1103 < produced results nearly identical to SPME.  Similarly for the dynamic
1104 < features, the undamped or moderately damped {\sc sf} and
1105 < moderately damped {\sc sp} methods produce force and torque
1106 < vector magnitude and directions very similar to the expected values.
1107 < These results translate into long-time dynamic behavior equivalent to
1108 < that produced in simulations using SPME.
1094 > shows that there are viable and computationally efficient alternatives
1095 > to the Ewald summation.  These methods are derived from the damped and
1096 > cutoff-neutralized Coulombic sum originally proposed by Wolf
1097 > \textit{et al.}\cite{Wolf99} In particular, the {\sc sf}
1098 > method, reformulated above as eqs. (\ref{eq:DSFPot}) and
1099 > (\ref{eq:DSFForces}), shows a remarkable ability to reproduce the
1100 > energetic and dynamic characteristics exhibited by simulations
1101 > employing lattice summation techniques.  The cumulative energy
1102 > difference results showed the undamped {\sc sf} and moderately damped
1103 > {\sc sp} methods produced results nearly identical to {\sc spme}.  Similarly
1104 > for the dynamic features, the undamped or moderately damped {\sc sf}
1105 > and moderately damped {\sc sp} methods produce force and torque vector
1106 > magnitude and directions very similar to the expected values.  These
1107 > results translate into long-time dynamic behavior equivalent to that
1108 > produced in simulations using {\sc spme}.
1109  
1110 + As in all purely-pairwise cutoff methods, these methods are expected
1111 + to scale approximately {\it linearly} with system size, and they are
1112 + easily parallelizable.  This should result in substantial reductions
1113 + in the computational cost of performing large simulations.
1114 +
1115   Aside from the computational cost benefit, these techniques have
1116   applicability in situations where the use of the Ewald sum can prove
1117 < problematic.  Primary among them is their use in interfacial systems,
1118 < where the unmodified lattice sum techniques artificially accentuate
1119 < the periodicity of the system in an undesirable manner.  There have
1120 < been alterations to the standard Ewald techniques, via corrections and
1121 < reformulations, to compensate for these systems; but the pairwise
1122 < techniques discussed here require no modifications, making them
1123 < natural tools to tackle these problems.  Additionally, this
1124 < transferability gives them benefits over other pairwise methods, like
1125 < reaction field, because estimations of physical properties (e.g. the
1126 < dielectric constant) are unnecessary.
1117 > problematic.  Of greatest interest is their potential use in
1118 > interfacial systems, where the unmodified lattice sum techniques
1119 > artificially accentuate the periodicity of the system in an
1120 > undesirable manner.  There have been alterations to the standard Ewald
1121 > techniques, via corrections and reformulations, to compensate for
1122 > these systems; but the pairwise techniques discussed here require no
1123 > modifications, making them natural tools to tackle these problems.
1124 > Additionally, this transferability gives them benefits over other
1125 > pairwise methods, like reaction field, because estimations of physical
1126 > properties (e.g. the dielectric constant) are unnecessary.
1127  
1128 < We are not suggesting any flaw with the Ewald sum; in fact, it is the
1129 < standard by which these simple pairwise sums are judged.  However,
1130 < these results do suggest that in the typical simulations performed
1131 < today, the Ewald summation may no longer be required to obtain the
1132 < level of accuracy most researchers have come to expect
1128 > If a researcher is using Monte Carlo simulations of large chemical
1129 > systems containing point charges, most structural features will be
1130 > accurately captured using the undamped {\sc sf} method or the {\sc sp}
1131 > method with an electrostatic damping of 0.2 \AA$^{-1}$.  These methods
1132 > would also be appropriate for molecular dynamics simulations where the
1133 > data of interest is either structural or short-time dynamical
1134 > quantities.  For long-time dynamics and collective motions, the safest
1135 > pairwise method we have evaluated is the {\sc sf} method with an
1136 > electrostatic damping between 0.2 and 0.25
1137 > \AA$^{-1}$.
1138  
1139 + We are not suggesting that there is any flaw with the Ewald sum; in
1140 + fact, it is the standard by which these simple pairwise sums have been
1141 + judged.  However, these results do suggest that in the typical
1142 + simulations performed today, the Ewald summation may no longer be
1143 + required to obtain the level of accuracy most researchers have come to
1144 + expect.
1145 +
1146   \section{Acknowledgments}
1147 + Support for this project was provided by the National Science
1148 + Foundation under grant CHE-0134881.  The authors would like to thank
1149 + Steve Corcelli and Ed Maginn for helpful discussions and comments.
1150 +
1151   \newpage
1152  
1153   \bibliographystyle{jcp2}

Diff Legend

Removed lines
+ Added lines
< Changed lines
> Changed lines