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Revision 2651 by chrisfen, Tue Mar 21 15:46:55 2006 UTC

# Line 140 | Line 140 | V_\textrm{elec} = \frac{1}{2}& \sum_{i=1}^N\sum_{j=1}^
140   \end{split}
141   \label{eq:EwaldSum}
142   \end{equation}
143 < where $\alpha$ is a damping parameter, or separation constant, with
144 < units of \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and are
145 < equal to $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the
146 < dielectric constant of the surrounding medium. The final two terms of
143 > where $\alpha$ is the damping or convergence parameter with units of
144 > \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and are equal to
145 > $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
146 > constant of the surrounding medium. The final two terms of
147   eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
148   for interacting with a surrounding dielectric.\cite{Allen87} This
149   dipolar term was neglected in early applications in molecular
# Line 159 | Line 159 | convergent behavior.  Indeed, it has often been observ
159   convergence.  In more modern simulations, the simulation boxes have
160   grown large enough that a real-space cutoff could potentially give
161   convergent behavior.  Indeed, it has often been observed that the
162 < reciprocal-space portion of the Ewald sum can be vanishingly
163 < small compared to the real-space portion.\cite{XXX}
162 > reciprocal-space portion of the Ewald sum can be small and rapidly
163 > convergent compared to the real-space portion with the choice of small
164 > $\alpha$.\cite{Karasawa89,Kolafa92}
165  
166   \begin{figure}
167   \centering
# Line 176 | Line 177 | The original Ewald summation is an $\mathscr{O}(N^2)$
177   \end{figure}
178  
179   The original Ewald summation is an $\mathscr{O}(N^2)$ algorithm.  The
180 < separation constant $(\alpha)$ plays an important role in balancing
180 > convergence parameter $(\alpha)$ plays an important role in balancing
181   the computational cost between the direct and reciprocal-space
182   portions of the summation.  The choice of this value allows one to
183   select whether the real-space or reciprocal space portion of the
# Line 574 | Line 575 | where $\hat{f}_\textrm{M}$ is the unit vector pointing
575   \theta_f = \cos^{-1} \left(\hat{F}_\textrm{SPME} \cdot \hat{F}_\textrm{M}\right),
576   \end{equation}
577   where $\hat{f}_\textrm{M}$ is the unit vector pointing along the force
578 < vector computed using method M.
579 <
580 < 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
598 < between two different electrostatic summation methods, there is no
599 < {\it a priori} reason for the profile to adhere to any specific shape.
600 < Gaussian fits was used to compare all the tested methods.  The
601 < variance ($\sigma^2$) was extracted from each of these fits and was
602 < used to compare distribution widths.  Values of $\sigma^2$ near zero
603 < indicate vector directions indistinguishable from those calculated
603 < when using the reference method (SPME).
578 > vector computed using method M.  Each of these $\theta$ values was
579 > accumulated in a distribution function and weighted by the area on the
580 > unit sphere.  Non-linear Gaussian fits were used to measure the width
581 > of the resulting distributions.
582 > %
583 > %\begin{figure}
584 > %\centering
585 > %\includegraphics[width = \linewidth]{./gaussFit.pdf}
586 > %\caption{Sample fit of the angular distribution of the force vectors
587 > %accumulated using all of the studied systems.  Gaussian fits were used
588 > %to obtain values for the variance in force and torque vectors.}
589 > %\label{fig:gaussian}
590 > %\end{figure}
591 > %
592 > %Figure \ref{fig:gaussian} shows an example distribution with applied
593 > %non-linear fits.  The solid line is a Gaussian profile, while the
594 > %dotted line is a Voigt profile, a convolution of a Gaussian and a
595 > %Lorentzian.  
596 > %Since this distribution is a measure of angular error between two
597 > %different electrostatic summation methods, there is no {\it a priori}
598 > %reason for the profile to adhere to any specific shape.
599 > %Gaussian fits was used to compare all the tested methods.  
600 > The variance ($\sigma^2$) was extracted from each of these fits and
601 > was used to compare distribution widths.  Values of $\sigma^2$ near
602 > zero indicate vector directions indistinguishable from those
603 > calculated when using the reference method (SPME).
604  
605   \subsection{Short-time Dynamics}
606  
# Line 675 | Line 675 | of all the SPC/E waters within 6 \AA\ of the center of
675   the resulting configurations were again equilibrated individually.
676   Finally, for the Argon / Water ``charge void'' systems, the identities
677   of all the SPC/E waters within 6 \AA\ of the center of the
678 < equilibrated water configurations were converted to argon
679 < (Fig. \ref{fig:argonSlice}).
678 > equilibrated water configurations were converted to argon.
679 > %(Fig. \ref{fig:argonSlice}).
680  
681   These procedures guaranteed us a set of representative configurations
682   from chemically-relevant systems sampled from an appropriate
683   ensemble. Force field parameters for the ions and Argon were taken
684   from the force field utilized by {\sc oopse}.\cite{Meineke05}
685  
686 < \begin{figure}
687 < \centering
688 < \includegraphics[width = \linewidth]{./slice.pdf}
689 < \caption{A slice from the center of a water box used in a charge void
690 < simulation.  The darkened region represents the boundary sphere within
691 < which the water molecules were converted to argon atoms.}
692 < \label{fig:argonSlice}
693 < \end{figure}
686 > %\begin{figure}
687 > %\centering
688 > %\includegraphics[width = \linewidth]{./slice.pdf}
689 > %\caption{A slice from the center of a water box used in a charge void
690 > %simulation.  The darkened region represents the boundary sphere within
691 > %which the water molecules were converted to argon atoms.}
692 > %\label{fig:argonSlice}
693 > %\end{figure}
694  
695   \subsection{Comparison of Summation Methods}\label{sec:ESMethods}
696   We compared the following alternative summation methods with results
# Line 714 | Line 714 | The althernative methods were also evaluated with thre
714   manner across all systems and configurations.
715  
716   The althernative methods were also evaluated with three different
717 < cutoff radii (9, 12, and 15 \AA).  It should be noted that the damping
718 < parameter chosen in SPME, or so called ``Ewald Coefficient'', has a
719 < significant effect on the energies and forces calculated.  Typical
720 < molecular mechanics packages set this to a value dependent on the
721 < cutoff radius and a tolerance (typically less than $1 \times 10^{-4}$
722 < kcal/mol).  Smaller tolerances are typically associated with increased
723 < accuracy at the expense of increased time spent calculating the
724 < reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
725 < The default TINKER tolerance of $1 \times 10^{-8}$ kcal/mol was used
726 < in all SPME calculations, resulting in Ewald Coefficients of 0.4200,
727 < 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
728 < respectively.
717 > cutoff radii (9, 12, and 15 \AA).  As noted previously, the
718 > convergence parameter ($\alpha$) plays a role in the balance of the
719 > real-space and reciprocal-space portions of the Ewald calculation.
720 > Typical molecular mechanics packages set this to a value dependent on
721 > the cutoff radius and a tolerance (typically less than $1 \times
722 > 10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
723 > increased accuracy at the expense of increased time spent calculating
724 > the reciprocal-space portion of the
725 > summation.\cite{Perram88,Essmann95} The default TINKER tolerance of $1
726 > \times 10^{-8}$ kcal/mol was used in all SPME calculations, resulting
727 > in Ewald Coefficients of 0.4200, 0.3119, and 0.2476 \AA$^{-1}$ for
728 > cutoff radii of 9, 12, and 15 \AA\ respectively.
729  
730   \section{Results and Discussion}
731  
# Line 800 | Line 800 | accumulated analysis over all the system types.
800   \begin{figure}
801   \centering
802   \includegraphics[width=5.5in]{./frcMagplot.pdf}
803 < \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).}
803 > \caption{Statistical analysis of the quality of the force vector
804 > magnitudes for a given electrostatic method compared with the
805 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
806 > indicate force magnitude values indistinguishable from those obtained
807 > using SPME.  Different values of the cutoff radius are indicated with
808 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
809 > inverted triangles).}
810   \label{fig:frcMag}
811   \end{figure}
812  
# Line 826 | Line 832 | performs more favorably.
832   \begin{figure}
833   \centering
834   \includegraphics[width=5.5in]{./trqMagplot.pdf}
835 < \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).}
835 > \caption{Statistical analysis of the quality of the torque vector
836 > magnitudes for a given electrostatic method compared with the
837 > reference Ewald sum.  Results with a value equal to 1 (dashed line)
838 > indicate torque magnitude values indistinguishable from those obtained
839 > using SPME.  Different values of the cutoff radius are indicated with
840 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
841 > inverted triangles).}
842   \label{fig:trqMag}
843   \end{figure}
844  
# Line 856 | Line 868 | error distributions of the combined set over all syste
868   \begin{figure}
869   \centering
870   \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
871 < \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).}
871 > \caption{Statistical analysis of the quality of the Gaussian fit of
872 > the force and torque vector angular distributions for a given
873 > electrostatic method compared with the reference Ewald sum.  Results
874 > with a variance ($\sigma^2$) equal to zero (dashed line) indicate
875 > force and torque directions indistinguishable from those obtained
876 > using SPME.  Different values of the cutoff radius are indicated with
877 > different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
878 > inverted triangles).}
879   \label{fig:frcTrqAng}
880   \end{figure}
881  
# Line 880 | Line 899 | investigated further in the accompanying supporting in
899  
900   \begin{table}[htbp]
901     \centering
902 <   \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$^2$.}  
902 >   \caption{Variance ($\sigma^2$) of the force (top set) and torque
903 > (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$^2$.}      
904     \begin{tabular}{@{} ccrrrrrrrr @{}}
905        \\
906        \toprule
# Line 968 | Line 988 | summation methods from the above results.
988   \begin{figure}
989   \centering
990   \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
991 < \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.}
991 > \caption{Velocity auto-correlation functions of NaCl crystals at
992 > 1000 K while using SPME, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and
993 > {\sc sp} ($\alpha$ = 0.2). The inset is a magnification of the first
994 > trough. The times to first collision are nearly identical, but the
995 > differences can be seen in the peaks and troughs, where the undamped
996 > to weakly damped methods are stiffer than the moderately damped and
997 > SPME methods.}
998   \label{fig:vCorrPlot}
999   \end{figure}
1000  
# Line 1003 | Line 1029 | displayed in figure \ref{fig:methodPS}.
1029   \begin{figure}
1030   \centering
1031   \includegraphics[width = \linewidth]{./spectraSquare.pdf}
1032 < \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.}
1032 > \caption{Power spectra obtained from the velocity auto-correlation
1033 > functions of NaCl crystals at 1000 K while using SPME, {\sc sf}
1034 > ($\alpha$ = 0, 0.1, \& 0.2), and {\sc sp} ($\alpha$ = 0.2).
1035 > Apodization of the correlation functions via a cubic switching
1036 > function between 40 and 50 ps was used to clear up the spectral noise
1037 > resulting from data truncation, and had no noticeable effect on peak
1038 > location or magnitude.  The inset shows the frequency region below 100
1039 > cm$^{-1}$ to highlight where the spectra begin to differ.}
1040   \label{fig:methodPS}
1041   \end{figure}
1042  
# Line 1045 | Line 1078 | accurate reproduction of crystal dynamics.
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.}
1081 > \caption{Regions of spectra showing the low-frequency correlated
1082 > motions for NaCl crystals at 1000 K using various electrostatic
1083 > summation methods.  The upper plot is a zoomed inset from figure
1084 > \ref{fig:methodPS}.  As the damping value for the {\sc sf} potential
1085 > increases, the low-frequency peaks red-shift.  The lower plot is of
1086 > spectra when using SPME and a simple damped Coulombic sum with damping
1087 > coefficients ($\alpha$) ranging from 0.15 to 0.3 \AA$^{-1}$.  As
1088 > $\alpha$ increases, the peaks are red-shifted toward and eventually
1089 > beyond the values given by SPME.  The larger $\alpha$ values weaken
1090 > the real-space electrostatics, explaining this shift towards less
1091 > strongly correlated motions in the crystal.}
1092   \label{fig:dampInc}
1093   \end{figure}
1094  

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