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# Line 47 | Line 47 | preprint,
47  
48   %\preprint{AIP/123-QED}
49  
50 < \title{Real space alternatives to the Ewald
51 < Sum. II. Comparison of Methods} % Force line breaks with \\
50 > \title{Real space electrostatics for multipoles. II. Comparisons with
51 >  the Ewald Sum}
52  
53   \author{Madan Lamichhane}
54 < \affiliation{Department of Physics, University
55 < of Notre Dame, Notre Dame, IN 46556}%Lines break automatically or can be forced with \\
54 > \affiliation{Department of Physics, University of Notre Dame, Notre Dame, IN 46556}
55  
56   \author{Kathie E. Newman}
57 < \affiliation{Department of Physics, University
59 < of Notre Dame, Notre Dame, IN 46556}
57 > \affiliation{Department of Physics, University of Notre Dame, Notre Dame, IN 46556}
58  
59   \author{J. Daniel Gezelter}%
60   \email{gezelter@nd.edu.}
61 < \affiliation{Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556%\\This line break forced with \textbackslash\textbackslash
62 < }%
61 > \affiliation{Department of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556
62 > }
63  
64 < \date{\today}% It is always \today, today,
67 <             %  but any date may be explicitly specified
64 > \date{\today}
65  
66   \begin{abstract}
67 <  We have tested the real-space shifted potential (SP),
68 <  gradient-shifted force (GSF), and Taylor-shifted force (TSF) methods
69 <  for multipole interactions that were developed in the first paper in
70 <  this series, using the multipolar Ewald sum as a reference
71 <  method. The tests were carried out in a variety of condensed-phase
72 <  environments which were designed to test all levels of the
73 <  multipole-multipole interactions.  Comparisons of the energy
74 <  differences between configurations, molecular forces, and torques
75 <  were used to analyze how well the real-space models perform relative
76 <  to the more computationally expensive Ewald treatment.  We have also
77 <  investigated the energy conservation properties of the new methods
78 <  in molecular dynamics simulations. The SP method shows excellent
79 <  agreement with configurational energy differences, forces, and
80 <  torques, and would be suitable for use in Monte Carlo calculations.
81 <  Of the two new shifted-force methods, the GSF approach shows the
82 <  best agreement with Ewald-derived energies, forces, and torques and
83 <  exhibits energy conservation properties that make it an excellent
84 <  choice for efficient computation of electrostatic interactions in
88 <  molecular dynamics simulations.
67 >  We report on tests of the shifted potential (SP), gradient shifted
68 >  force (GSF), and Taylor shifted force (TSF) real-space methods for
69 >  multipole interactions developed in the first paper in this series,
70 >  using the multipolar Ewald sum as a reference method. The tests were
71 >  carried out in a variety of condensed-phase environments designed to
72 >  test up to quadrupole-quadrupole interactions.  Comparisons of the
73 >  energy differences between configurations, molecular forces, and
74 >  torques were used to analyze how well the real-space models perform
75 >  relative to the more computationally expensive Ewald treatment.  We
76 >  have also investigated the energy conservation properties of the new
77 >  methods in molecular dynamics simulations. The SP method shows
78 >  excellent agreement with configurational energy differences, forces,
79 >  and torques, and would be suitable for use in Monte Carlo
80 >  calculations.  Of the two new shifted-force methods, the GSF
81 >  approach shows the best agreement with Ewald-derived energies,
82 >  forces, and torques and also exhibits energy conservation properties
83 >  that make it an excellent choice for efficient computation of
84 >  electrostatic interactions in molecular dynamics simulations.
85   \end{abstract}
86  
87   %\pacs{Valid PACS appear here}% PACS, the Physics and Astronomy
# Line 94 | Line 90 | of Notre Dame, Notre Dame, IN 46556}
90  
91   \maketitle
92  
97
93   \section{\label{sec:intro}Introduction}
94   Computing the interactions between electrostatic sites is one of the
95   most expensive aspects of molecular simulations. There have been
# Line 105 | Line 100 | space. BETTER CITATIONS\cite{Clarke:1986eu,Woodcock75}
100   the conditionally convergent electrostatic energy is converted into
101   two absolutely convergent contributions, one which is carried out in
102   real space with a cutoff radius, and one in reciprocal
103 < space. BETTER CITATIONS\cite{Clarke:1986eu,Woodcock75}
103 > space.\cite{Ewald21,deLeeuw80,Smith81,Allen87}
104  
105   When carried out as originally formulated, the reciprocal-space
106   portion of the Ewald sum exhibits relatively poor computational
107 < scaling, making it prohibitive for large systems. By utilizing
108 < particle meshes and three dimensional fast Fourier transforms (FFT),
109 < the particle-mesh Ewald (PME), particle-particle particle-mesh Ewald
110 < (P\textsuperscript{3}ME), and smooth particle mesh Ewald (SPME) methods can decrease
111 < the computational cost from $O(N^2)$ down to $O(N \log
112 < N)$.\cite{Takada93,Gunsteren94,Gunsteren95,Darden:1993pd,Essmann:1995pb}.
107 > scaling, making it prohibitive for large systems. By utilizing a
108 > particle mesh and three dimensional fast Fourier transforms (FFT), the
109 > particle-mesh Ewald (PME), particle-particle particle-mesh Ewald
110 > (P\textsuperscript{3}ME), and smooth particle mesh Ewald (SPME)
111 > methods can decrease the computational cost from $O(N^2)$ down to $O(N
112 > \log
113 > N)$.\cite{Takada93,Gunsteren94,Gunsteren95,Darden:1993pd,Essmann:1995pb}
114  
115   Because of the artificial periodicity required for the Ewald sum,
116   interfacial molecular systems such as membranes and liquid-vapor
117 < interfaces require modifications to the
118 < method.\cite{Parry:1975if,Parry:1976fq,Clarke77,Perram79,Rhee:1989kl}
119 < Parry's extension of the three dimensional Ewald sum is appropriate
120 < for slab geometries.\cite{Parry:1975if} Modified Ewald methods that
121 < were developed to handle two-dimensional (2D) electrostatic
122 < interactions in interfacial systems have not seen similar
123 < particle-mesh treatments,\cite{Parry:1975if, Parry:1976fq, Clarke77,
124 <  Perram79,Rhee:1989kl,Spohr:1997sf,Yeh:1999oq} and still scale poorly
125 < with system size. The inherent periodicity in the Ewald’s method can
126 < also be problematic for interfacial molecular
127 < systems.\cite{Fennell:2006lq}
117 > interfaces require modifications to the method.  Parry's extension of
118 > the three dimensional Ewald sum is appropriate for slab
119 > geometries.\cite{Parry:1975if} Modified Ewald methods that were
120 > developed to handle two-dimensional (2-D) electrostatic
121 > interactions.\cite{Parry:1975if,Parry:1976fq,Clarke77,Perram79,Rhee:1989kl}
122 > These methods were originally quite computationally
123 > expensive.\cite{Spohr97,Yeh99} There have been several successful
124 > efforts that reduced the computational cost of 2-D lattice summations,
125 > bringing them more in line with the scaling for the full 3-D
126 > treatments.\cite{Yeh99,Kawata01,Arnold02,deJoannis02,Brodka04} The
127 > inherent periodicity required by the Ewald method can also be
128 > problematic in a number of protein/solvent and ionic solution
129 > environments.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00,Fennell:2006lq}
130  
131   \subsection{Real-space methods}
132   Wolf \textit{et al.}\cite{Wolf:1999dn} proposed a real space $O(N)$
# Line 150 | Line 148 | application of Wolf's method are able to obtain accura
148   what is effectively a set of octupoles at large distances. These facts
149   suggest that the Madelung constants are relatively short ranged for
150   perfect ionic crystals.\cite{Wolf:1999dn} For this reason, careful
151 < application of Wolf's method are able to obtain accurate estimates of
151 > application of Wolf's method can provide accurate estimates of
152   Madelung constants using relatively short cutoff radii.
153  
154   Direct truncation of interactions at a cutoff radius creates numerical
155 < errors.  Wolf \textit{et al.}  argued that truncation errors are due
155 > errors.  Wolf \textit{et al.} suggest that truncation errors are due
156   to net charge remaining inside the cutoff sphere.\cite{Wolf:1999dn} To
157   neutralize this charge they proposed placing an image charge on the
158   surface of the cutoff sphere for every real charge inside the cutoff.
159   These charges are present for the evaluation of both the pair
160   interaction energy and the force, although the force expression
161 < maintained a discontinuity at the cutoff sphere.  In the original Wolf
161 > maintains a discontinuity at the cutoff sphere.  In the original Wolf
162   formulation, the total energy for the charge and image were not equal
163 < to the integral of their force expression, and as a result, the total
163 > to the integral of the force expression, and as a result, the total
164   energy would not be conserved in molecular dynamics (MD)
165   simulations.\cite{Zahn:2002hc} Zahn \textit{et al.}, and Fennel and
166   Gezelter later proposed shifted force variants of the Wolf method with
167   commensurate force and energy expressions that do not exhibit this
168 < problem.\cite{Fennell:2006lq} Related real-space methods were also
169 < proposed by Chen \textit{et
168 > problem.\cite{Zahn:2002hc,Fennell:2006lq} Related real-space methods
169 > were also proposed by Chen \textit{et
170    al.}\cite{Chen:2004du,Chen:2006ii,Denesyuk:2008ez,Rodgers:2006nw}
171 < and by Wu and Brooks.\cite{Wu:044107} Recently, Fukuda has used
172 < neutralization of the higher order moments for the calculation of the
173 < electrostatic interaction of the point charge
176 < systems.\cite{Fukuda:2013sf}
171 > and by Wu and Brooks.\cite{Wu:044107} Recently, Fukuda has successfuly
172 > used additional neutralization of higher order moments for systems of
173 > point charges.\cite{Fukuda:2013sf}
174  
175   \begin{figure}
176    \centering
177 <  \includegraphics[width=\linewidth]{schematic.pdf}
177 >  \includegraphics[width=\linewidth]{schematic.eps}
178    \caption{Top: Ionic systems exhibit local clustering of dissimilar
179      charges (in the smaller grey circle), so interactions are
180      effectively charge-multipole at longer distances.  With hard
# Line 195 | Line 192 | dipoles at the eight corners of a unit cube.  Only thr
192   One can make a similar effective range argument for crystals of point
193   \textit{multipoles}. The Luttinger and Tisza treatment of energy
194   constants for dipolar lattices utilizes 24 basis vectors that contain
195 < dipoles at the eight corners of a unit cube.  Only three of these
196 < basis vectors, $X_1, Y_1, \mathrm{~and~} Z_1,$ retain net dipole
195 > dipoles at the eight corners of a unit cube.\cite{LT} Only three of
196 > these basis vectors, $X_1, Y_1, \mathrm{~and~} Z_1,$ retain net dipole
197   moments, while the rest have zero net dipole and retain contributions
198 < only from higher order multipoles.  The lowest energy crystalline
198 > only from higher order multipoles.  The lowest-energy crystalline
199   structures are built out of basis vectors that have only residual
200   quadrupolar moments (e.g. the $Z_5$ array). In these low energy
201   structures, the effective interaction between a dipole at the center
# Line 221 | Line 218 | Even at elevated temperatures, there is, on average, l
218  
219   The shorter effective range of electrostatic interactions is not
220   limited to perfect crystals, but can also apply in disordered fluids.
221 < Even at elevated temperatures, there is, on average, local charge
222 < balance in an ionic liquid, where each positive ion has surroundings
223 < dominated by negaitve ions and vice versa.  The reversed-charge images
224 < on the cutoff sphere that are integral to the Wolf and DSF approaches
225 < retain the effective multipolar interactions as the charges traverse
226 < the cutoff boundary.
221 > Even at elevated temperatures, there is local charge balance in an
222 > ionic liquid, where each positive ion has surroundings dominated by
223 > negaitve ions and vice versa.  The reversed-charge images on the
224 > cutoff sphere that are integral to the Wolf and DSF approaches retain
225 > the effective multipolar interactions as the charges traverse the
226 > cutoff boundary.
227  
228   In multipolar fluids (see Fig. \ref{fig:schematic}) there is
229   significant orientational averaging that additionally reduces the
# Line 245 | Line 242 | The forces and torques acting on atomic sites are the
242   % to the non-neutralized value of the higher order moments within the
243   % cutoff sphere.
244  
245 < The forces and torques acting on atomic sites are the fundamental
246 < factors driving dynamics in molecular simulations. Fennell and
247 < Gezelter proposed the damped shifted force (DSF) energy kernel to
248 < obtain consistent energies and forces on the atoms within the cutoff
249 < sphere. Both the energy and the force go smoothly to zero as an atom
250 < aproaches the cutoff radius. The comparisons of the accuracy these
251 < quantities between the DSF kernel and SPME was surprisingly
252 < good.\cite{Fennell:2006lq} The DSF method has seen increasing use for
253 < calculating electrostatic interactions in molecular systems with
254 < relatively uniform charge
258 < densities.\cite{Shi:2013ij,Kannam:2012rr,Acevedo13,Space12,English08,Lawrence13,Vergne13}
245 > Forces and torques acting on atomic sites are fundamental in driving
246 > dynamics in molecular simulations, and the damped shifted force (DSF)
247 > energy kernel provides consistent energies and forces on charged atoms
248 > within the cutoff sphere. Both the energy and the force go smoothly to
249 > zero as an atom aproaches the cutoff radius. The comparisons of the
250 > accuracy these quantities between the DSF kernel and SPME was
251 > surprisingly good.\cite{Fennell:2006lq} As a result, the DSF method
252 > has seen increasing use in molecular systems with relatively uniform
253 > charge
254 > densities.\cite{English08,Kannam:2012rr,Space12,Lawrence13,Acevedo13,Shi:2013ij,Vergne13}
255  
256   \subsection{The damping function}
257   The damping function has been discussed in detail in the first paper
# Line 282 | Line 278 | Because electrons in a molecule are not localized at s
278   required to compute configurational
279   energies.\cite{Ren06,Essex10,Essex11}
280  
281 < Because electrons in a molecule are not localized at specific points,
282 < the assignment of partial charges to atomic centers is always an
283 < approximation.  Atomic sites can also be assigned point multipoles and
284 < polarizabilities to increase the accuracy of the molecular model.
285 < Recently, water has been modeled with point multipoles up to octupolar
286 < order using the soft sticky dipole-quadrupole-octupole (SSDQO)
281 > Additionally, because electrons in a molecule are not localized at
282 > specific points, the assignment of partial charges to atomic centers
283 > is always an approximation.  For increased accuracy, atomic sites can
284 > also be assigned point multipoles and polarizabilities.  Recently,
285 > water has been modeled with point multipoles up to octupolar order
286 > using the soft sticky dipole-quadrupole-octupole (SSDQO)
287   model.\cite{Ichiye10_1,Ichiye10_2,Ichiye10_3} Atom-centered point
288   multipoles up to quadrupolar order have also been coupled with point
289   polarizabilities in the high-quality AMOEBA and iAMOEBA water
290   models.\cite{Ren:2003uq,Ren:2004kx,Ponder:2010vl,Wang:2013fk} However,
291   truncating point multipoles without smoothing the forces and torques
292 < will create energy conservation issues in molecular dynamics simulations.
292 > can create energy conservation issues in molecular dynamics
293 > simulations.
294  
295   In this paper we test a set of real-space methods that were developed
296   for point multipolar interactions.  These methods extend the damped
297   shifted force (DSF) and Wolf methods originally developed for
298   charge-charge interactions and generalize them for higher order
299 < multipoles. The detailed mathematical development of these methods has
300 < been presented in the first paper in this series, while this work
301 < covers the testing the energies, forces, torques, and energy
299 > multipoles.  The detailed mathematical development of these methods
300 > has been presented in the first paper in this series, while this work
301 > covers the testing of energies, forces, torques, and energy
302   conservation properties of the methods in realistic simulation
303   environments.  In all cases, the methods are compared with the
304 < reference method, a full multipolar Ewald treatment.
304 > reference method, a full multipolar Ewald treatment.\cite{Smith82,Smith98}
305  
306  
307   %\subsection{Conservation of total energy }
# Line 577 | Line 574 | the simulation proceeds. These differences are the mos
574   and have been compared with the values obtained from the multipolar
575   Ewald sum.  In Monte Carlo (MC) simulations, the energy differences
576   between two configurations is the primary quantity that governs how
577 < the simulation proceeds. These differences are the most imporant
577 > the simulation proceeds. These differences are the most important
578   indicators of the reliability of a method even if the absolute
579   energies are not exact.  For each of the multipolar systems listed
580   above, we have compared the change in electrostatic potential energy
# Line 589 | Line 586 | program, OpenMD,\cite{openmd} which was used for all c
586   \subsection{Implementation}
587   The real-space methods developed in the first paper in this series
588   have been implemented in our group's open source molecular simulation
589 < program, OpenMD,\cite{openmd} which was used for all calculations in
589 > program, OpenMD,\cite{Meineke05,openmd} which was used for all calculations in
590   this work.  The complementary error function can be a relatively slow
591   function on some processors, so all of the radial functions are
592   precomputed on a fine grid and are spline-interpolated to provide
# Line 796 | Line 793 | model must allow for long simulation times with minima
793  
794   \begin{figure}
795    \centering
796 <  \includegraphics[width=0.6\linewidth]{energyPlot_slopeCorrelation_combined-crop.pdf}
796 >  \includegraphics[width=0.85\linewidth]{energyPlot_slopeCorrelation_combined.eps}
797    \caption{Statistical analysis of the quality of configurational
798      energy differences for the real-space electrostatic methods
799      compared with the reference Ewald sum.  Results with a value equal
# Line 869 | Line 866 | forces is desired.
866  
867   \begin{figure}
868    \centering
869 <  \includegraphics[width=0.6\linewidth]{forcePlot_slopeCorrelation_combined-crop.pdf}
869 >  \includegraphics[width=0.6\linewidth]{forcePlot_slopeCorrelation_combined.eps}
870    \caption{Statistical analysis of the quality of the force vector
871      magnitudes for the real-space electrostatic methods compared with
872      the reference Ewald sum. Results with a value equal to 1 (dashed
# Line 883 | Line 880 | forces is desired.
880  
881   \begin{figure}
882    \centering
883 <  \includegraphics[width=0.6\linewidth]{torquePlot_slopeCorrelation_combined-crop.pdf}
883 >  \includegraphics[width=0.6\linewidth]{torquePlot_slopeCorrelation_combined.eps}
884    \caption{Statistical analysis of the quality of the torque vector
885      magnitudes for the real-space electrostatic methods compared with
886      the reference Ewald sum. Results with a value equal to 1 (dashed
# Line 941 | Line 938 | systematically improved by varying $\alpha$ and $r_c$.
938  
939   \begin{figure}
940    \centering
941 <  \includegraphics[width=0.6 \linewidth]{Variance_forceNtorque_modified-crop.pdf}
941 >  \includegraphics[width=0.65\linewidth]{Variance_forceNtorque_modified.eps}
942    \caption{The circular variance of the direction of the force and
943      torque vectors obtained from the real-space methods around the
944      reference Ewald vectors. A variance equal to 0 (dashed line)
# Line 988 | Line 985 | $k$-space cutoff values.
985  
986   \begin{figure}
987    \centering
988 <  \includegraphics[width=\textwidth]{newDrift_12.pdf}
988 >  \includegraphics[width=\textwidth]{newDrift_12.eps}
989   \label{fig:energyDrift}        
990   \caption{Analysis of the energy conservation of the real-space
991    electrostatic methods. $\delta \mathrm{E}_1$ is the linear drift in
# Line 1000 | Line 997 | $k$-space cutoff values.
997    utilized the same real-space cutoff, $r_c = 12$\AA.}
998   \end{figure}
999  
1000 + \subsection{Reproduction of Structural Features\label{sec:structure}}
1001 + One of the best tests of modified interaction potentials is the
1002 + fidelity with which they can reproduce structural features in a
1003 + liquid.  One commonly-utilized measure of structural ordering is the
1004 + pair distribution function, $g(r)$, which measures local density
1005 + deviations in relation to the bulk density.  In the electrostatic
1006 + approaches studied here, the short-range repulsion from the
1007 + Lennard-Jones potential is identical for the various electrostatic
1008 + methods, and since short range repulsion determines much of the local
1009 + liquid ordering, one would not expect to see any differences in
1010 + $g(r)$.  Indeed, the pair distributions are essentially identical for
1011 + all of the electrostatic methods studied (for each of the different
1012 + systems under investigation).  Interested readers may consult the
1013 + supplementary information for plots of these pair distribution
1014 + functions.
1015  
1016 + A direct measure of the structural features that is a more
1017 + enlightening test of the modified electrostatic methods is the average
1018 + value of the electrostatic energy $\langle U_\mathrm{elect} \rangle$
1019 + which is obtained by sampling the liquid-state configurations
1020 + experienced by a liquid evolving entirely under the influence of the
1021 + methods being investigated.  In figure \ref{fig:Uelect} we show how
1022 + $\langle U_\mathrm{elect} \rangle$ for varies with the damping parameter,
1023 + $\alpha$, for each of the methods.
1024 +
1025 + \begin{figure}
1026 +  \centering
1027 +  \includegraphics[width=\textwidth]{averagePotentialEnergy_r9_12.eps}
1028 + \label{fig:Uelect}        
1029 + \caption{The average electrostatic potential energy,
1030 +  $\langle U_\mathrm{elect} \rangle$ for the SSDQ water with ions as a function
1031 +  of the damping parameter, $\alpha$, for each of the real-space
1032 +  electrostatic methods. Top panel: simulations run with a real-space
1033 +  cutoff, $r_c = 9$\AA.  Bottom panel: the same quantity, but with a
1034 +  larger cutoff, $r_c = 12$\AA.}
1035 + \end{figure}
1036 +
1037 + It is clear that moderate damping is important for converging the mean
1038 + potential energy values, particularly for the two shifted force
1039 + methods (GSF and TSF).  A value of $\alpha \approx 0.18$ \AA$^{-1}$ is
1040 + sufficient to converge the SP and GSF energies with a cutoff of 12
1041 + \AA, while shorter cutoffs require more dramatic damping ($\alpha
1042 + \approx 0.36$ \AA$^{-1}$ for $r_c = 9$ \AA).  It is also clear from
1043 + fig. \ref{fig:Uelect} that it is possible to overdamp the real-space
1044 + electrostatic methods, causing the estimate of the energy to drop
1045 + below the Ewald results.
1046 +
1047 + These ``optimal'' values of the damping coefficient are slightly
1048 + larger than what were observed for DSF electrostatics for purely
1049 + point-charge systems, although a value of $\alpha=0.18$ \AA$^{-1}$ for
1050 + $r_c = 12$\AA appears to be an excellent compromise for mixed charge
1051 + multipole systems.
1052 +
1053 + \subsection{Reproduction of Dynamic Properties\label{sec:structure}}
1054 + To test the fidelity of the electrostatic methods at reproducing
1055 + dynamics in a multipolar liquid, it is also useful to look at
1056 + transport properties, particularly the diffusion constant,
1057 + \begin{equation}
1058 + D = \lim_{t \rightarrow \infty} \frac{1}{6 t} \langle \left|
1059 +  \mathbf{r}(t) -\mathbf{r}(0) \right|^2 \rangle
1060 + \label{eq:diff}
1061 + \end{equation}
1062 + which measures long-time behavior and is sensitive to the forces on
1063 + the multipoles.  For the soft dipolar fluid, and the SSDQ liquid
1064 + systems, the self-diffusion constants (D) were calculated from linear
1065 + fits to the long-time portion of the mean square displacement
1066 + ($\langle r^{2}(t) \rangle$).\cite{Allen87}
1067 +
1068 + In addition to translational diffusion, orientational relaxation times
1069 + were calculated for comparisons with the Ewald simulations and with
1070 + experiments. These values were determined from the same 1~ns $NVE$
1071 + trajectories used for translational diffusion by calculating the
1072 + orientational time correlation function,
1073 + \begin{equation}
1074 + C_l^\alpha(t) = \left\langle P_l\left[\hat{\mathbf{u}}_i^\gamma(t)
1075 +                \cdot\hat{\mathbf{u}}_i^\gamma(0)\right]\right\rangle,
1076 + \label{eq:OrientCorr}
1077 + \end{equation}
1078 + where $P_l$ is the Legendre polynomial of order $l$ and
1079 + $\hat{\mathbf{u}}_i^\alpha$ is the unit vector of molecule $i$ along
1080 + axis $\gamma$.  The body-fixed reference frame used for our
1081 + orientational correlation functions has the $z$-axis running along the
1082 + dipoles, and for the SSDQ water model, the $y$-axis connects the two
1083 + implied hydrogen atoms.
1084 +
1085 + From the orientation autocorrelation functions, we can obtain time
1086 + constants for rotational relaxation either by fitting an exponential
1087 + function or by integrating the entire correlation function.  These
1088 + decay times are directly comparable to water orientational relaxation
1089 + times from nuclear magnetic resonance (NMR). The relaxation constant
1090 + obtained from $C_2^y(t)$ is normally of experimental interest because
1091 + it describes the relaxation of the principle axis connecting the
1092 + hydrogen atoms. Thus, $C_2^y(t)$ can be compared to the intermolecular
1093 + portion of the dipole-dipole relaxation from a proton NMR signal and
1094 + should provide an estimate of the NMR relaxation time
1095 + constant.\cite{Impey82}
1096 +
1097 + Results for the diffusion constants and orientational relaxation times
1098 + are shown in figure \ref{fig:dynamics}. From this data, it is apparent
1099 + that the values for both $D$ and $\tau_2$ using the Ewald sum are
1100 + reproduced with high fidelity by the GSF method.
1101 +
1102 + The $\tau_2$ results in \ref{fig:dynamics} show a much greater
1103 + difference between the real-space and the Ewald results.
1104 +
1105 +
1106   \section{CONCLUSION}
1107   In the first paper in this series, we generalized the
1108   charge-neutralized electrostatic energy originally developed by Wolf

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