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# Line 154 | Line 154 | conditions, $\epsilon_{\rm S} = \infty$. Figure
154   system is said to be using conducting (or ``tin-foil'') boundary
155   conditions, $\epsilon_{\rm S} = \infty$. Figure
156   \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
157 < time.  Initially, due to the small sizes of the systems that could be
158 < feasibly simulated, the entire simulation box was replicated to
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 small and rapidly
163 < convergent compared to the real-space portion with the choice of small
164 < $\alpha$.\cite{Karasawa89,Kolafa92}
157 > time.  Initially, due to the small system sizes that could be
158 > simulated feasibly, the entire simulation box was replicated to
159 > convergence.  In more modern simulations, the systems have grown large
160 > enough that a real-space cutoff could potentially give convergent
161 > behavior.  Indeed, it has been observed that with the choice of a
162 > small $\alpha$, the reciprocal-space portion of the Ewald sum can be
163 > rapidly convergent and small relative to the real-space
164 > portion.\cite{Karasawa89,Kolafa92}
165  
166   \begin{figure}
167   \centering
168 < \includegraphics[width = \linewidth]{./ewaldProgression.pdf}
169 < \caption{How the application of the Ewald summation has changed with
170 < the increase in computer power.  Initially, only small numbers of
171 < particles could be studied, and the Ewald sum acted to replicate the
172 < unit cell charge distribution out to convergence.  Now, much larger
173 < 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.}
168 > \includegraphics[width = \linewidth]{./ewaldProgression2.pdf}
169 > \caption{The change in the application of the Ewald sum with
170 > increasing computational power.  Initially, only small systems could
171 > be studied, and the Ewald sum replicated the simulation box to
172 > convergence.  Now, much larger systems of charges are investigated
173 > with fixed-distance cutoffs.}
174   \label{fig:ewaldTime}
175   \end{figure}
176  
# Line 682 | Line 680 | These procedures guaranteed us a set of representative
680   %(Fig. \ref{fig:argonSlice}).
681  
682   These procedures guaranteed us a set of representative configurations
683 < from chemically-relevant systems sampled from an appropriate
684 < ensemble. Force field parameters for the ions and Argon were taken
683 > from chemically-relevant systems sampled from appropriate
684 > ensembles. Force field parameters for the ions and Argon were taken
685   from the force field utilized by {\sc oopse}.\cite{Meineke05}
686  
687   %\begin{figure}
# Line 710 | Line 708 | cutoff.  The SPME electrostatics were performed using
708   were utilized for the reaction field simulations.  Additionally, we
709   investigated the use of these cutoffs with the SP, SF, and pure
710   cutoff.  The SPME electrostatics were performed using the TINKER
711 < implementation of SPME,\cite{Ponder87} while all other method
712 < calculations were performed using the OOPSE molecular mechanics
711 > implementation of SPME,\cite{Ponder87} while all other calculations
712 > were performed using the {\sc oopse} molecular mechanics
713   package.\cite{Meineke05} All other portions of the energy calculation
714   (i.e. Lennard-Jones interactions) were handled in exactly the same
715   manner across all systems and configurations.
# Line 723 | Line 721 | the cutoff radius and a tolerance (typically less than
721   Typical molecular mechanics packages set this to a value dependent on
722   the cutoff radius and a tolerance (typically less than $1 \times
723   10^{-4}$ kcal/mol).  Smaller tolerances are typically associated with
724 < increased accuracy at the expense of increased time spent calculating
725 < the reciprocal-space portion of the
726 < summation.\cite{Perram88,Essmann95} The default TINKER tolerance of $1
727 < \times 10^{-8}$ kcal/mol was used in all SPME calculations, resulting
728 < in Ewald Coefficients of 0.4200, 0.3119, and 0.2476 \AA$^{-1}$ for
729 < cutoff radii of 9, 12, and 15 \AA\ respectively.
724 > increasing accuracy at the expense of computational time spent on the
725 > reciprocal-space portion of the summation.\cite{Perram88,Essmann95}
726 > The default TINKER tolerance of $1 \times 10^{-8}$ kcal/mol was used
727 > in all SPME calculations, resulting in Ewald coefficients of 0.4200,
728 > 0.3119, and 0.2476 \AA$^{-1}$ for cutoff radii of 9, 12, and 15 \AA\
729 > respectively.
730  
731   \section{Results and Discussion}
732  
# Line 770 | Line 768 | comparison where all groups are neutral.
768   readers can consult the accompanying supporting information for a
769   comparison where all groups are neutral.
770  
771 < For the {\sc sp} method, inclusion of potential damping improves the
772 < agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$ shows
773 < an excellent correlation and quality of fit with the SPME results,
774 < particularly with a cutoff radius greater than 12
771 > For the {\sc sp} method, inclusion of electrostatic damping improves
772 > the agreement with Ewald, and using an $\alpha$ of 0.2 \AA $^{-1}$
773 > shows an excellent correlation and quality of fit with the SPME
774 > results, particularly with a cutoff radius greater than 12
775   \AA .  Use of a larger damping parameter is more helpful for the
776   shortest cutoff shown, but it has a detrimental effect on simulations
777   with larger cutoffs.  
778  
779 < In the {\sc sf} sets, increasing damping results in progressively
780 < worse correlation with Ewald.  Overall, the undamped case is the best
779 > In the {\sc sf} sets, increasing damping results in progressively {\it
780 > worse} correlation with Ewald.  Overall, the undamped case is the best
781   performing set, as the correlation and quality of fits are
782   consistently superior regardless of the cutoff distance.  The undamped
783   case is also less computationally demanding (because no evaluation of
# Line 794 | Line 792 | simulations requires consideration of effects on the f
792  
793   Evaluation of pairwise methods for use in Molecular Dynamics
794   simulations requires consideration of effects on the forces and
795 < torques.  Investigation of the force and torque vector magnitudes
796 < provides a measure of the strength of these values relative to SPME.
797 < Figures \ref{fig:frcMag} and \ref{fig:trqMag} respectively show the
798 < force and torque vector magnitude regression results for the
801 < accumulated analysis over all the system types.
795 > torques.  Figures \ref{fig:frcMag} and \ref{fig:trqMag} show the
796 > regression results for the force and torque vector magnitudes,
797 > respectively.  The data in these figures was generated from an
798 > accumulation of the statistics from all of the system types.
799  
800   \begin{figure}
801   \centering
# Line 813 | Line 810 | inverted triangles).}
810   \label{fig:frcMag}
811   \end{figure}
812  
813 + Again, it is striking how well the Shifted Potential and Shifted Force
814 + methods are doing at reproducing the SPME forces.  The undamped and
815 + weakly-damped {\sc sf} method gives the best agreement with Ewald.
816 + This is perhaps expected because this method explicitly incorporates a
817 + smooth transition in the forces at the cutoff radius as well as the
818 + neutralizing image charges.
819 +
820   Figure \ref{fig:frcMag}, for the most part, parallels the results seen
821   in the previous $\Delta E$ section.  The unmodified cutoff results are
822   poor, but using group based cutoffs and a switching function provides
823 < a improvement much more significant than what was seen with $\Delta
824 < E$.  Looking at the {\sc sp} sets, the slope and $R^2$
825 < improve with the use of damping to an optimal result of 0.2 \AA
826 < $^{-1}$ for the 12 and 15 \AA\ cutoffs.  Further increases in damping,
823 > an improvement much more significant than what was seen with $\Delta
824 > E$.
825 >
826 > With moderate damping and a large enough cutoff radius, the {\sc sp}
827 > method is generating usable forces.  Further increases in damping,
828   while beneficial for simulations with a cutoff radius of 9 \AA\ , is
829 < detrimental to simulations with larger cutoff radii.  The undamped
830 < {\sc sf} method gives forces in line with those obtained using
831 < SPME, and use of a damping function results in minor improvement.  The
827 < reaction field results are surprisingly good, considering the poor
829 > detrimental to simulations with larger cutoff radii.
830 >
831 > The reaction field results are surprisingly good, considering the poor
832   quality of the fits for the $\Delta E$ results.  There is still a
833 < considerable degree of scatter in the data, but it correlates well in
834 < general.  To be fair, we again note that the reaction field
835 < calculations do not encompass NaCl crystal and melt systems, so these
833 > considerable degree of scatter in the data, but the forces correlate
834 > well with the Ewald forces in general.  We note that the reaction
835 > field calculations do not include the pure NaCl systems, so these
836   results are partly biased towards conditions in which the method
837   performs more favorably.
838  
# Line 845 | Line 849 | inverted triangles).}
849   \label{fig:trqMag}
850   \end{figure}
851  
852 < To evaluate the torque vector magnitudes, the data set from which
853 < values are drawn is limited to rigid molecules in the systems
854 < (i.e. water molecules).  In spite of this smaller sampling pool, the
851 < torque vector magnitude results in figure \ref{fig:trqMag} are still
852 < similar to those seen for the forces; however, they more clearly show
853 < the improved behavior that comes with increasing the cutoff radius.
854 < Moderate damping is beneficial to the {\sc sp} and helpful
855 < yet possibly unnecessary with the {\sc sf} method, and they also
856 < show that over-damping adversely effects all cutoff radii rather than
857 < showing an improvement for systems with short cutoffs.  The reaction
858 < field method performs well when calculating the torques, better than
859 < the Shifted Force method over this limited data set.
852 > Molecular torques were only available from the systems which contained
853 > rigid molecules (i.e. the systems containing water).  The data in
854 > fig. \ref{fig:trqMag} is taken from this smaller sampling pool.
855  
856 + Torques appear to be much more sensitive to charges at a longer
857 + distance.   The striking feature in comparing the new electrostatic
858 + methods with SPME is how much the agreement improves with increasing
859 + cutoff radius.  Again, the weakly damped and undamped {\sc sf} method
860 + appears to be reproducing the SPME torques most accurately.  
861 +
862 + Water molecules are dipolar, and the reaction field method reproduces
863 + the effect of the surrounding polarized medium on each of the
864 + molecular bodies. Therefore it is not surprising that reaction field
865 + performs best of all of the methods on molecular torques.
866 +
867   \subsection{Directionality of the Force and Torque Vectors}
868  
869 < Having force and torque vectors with magnitudes that are well
870 < correlated to SPME is good, but if they are not pointing in the proper
871 < direction the results will be incorrect.  These vector directions were
872 < investigated through measurement of the angle formed between them and
873 < those from SPME.  The results (Fig. \ref{fig:frcTrqAng}) are compared
874 < through the variance ($\sigma^2$) of the Gaussian fits of the angle
875 < error distributions of the combined set over all system types.
869 > It is clearly important that a new electrostatic method can reproduce
870 > the magnitudes of the force and torque vectors obtained via the Ewald
871 > sum. However, the {\it directionality} of these vectors will also be
872 > vital in calculating dynamical quantities accurately.  Force and
873 > torque directionalities were investigated by measuring the angles
874 > formed between these vectors and the same vectors calculated using
875 > SPME.  The results (Fig. \ref{fig:frcTrqAng}) are compared through the
876 > variance ($\sigma^2$) of the Gaussian fits of the angle error
877 > distributions of the combined set over all system types.
878  
879   \begin{figure}
880   \centering
881   \includegraphics[width=5.5in]{./frcTrqAngplot.pdf}
882 < \caption{Statistical analysis of the quality of the Gaussian fit of
883 < the force and torque vector angular distributions for a given
884 < electrostatic method compared with the reference Ewald sum.  Results
885 < with a variance ($\sigma^2$) equal to zero (dashed line) indicate
886 < force and torque directions indistinguishable from those obtained
887 < using SPME.  Different values of the cutoff radius are indicated with
888 < different symbols (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ =
889 < inverted triangles).}
882 > \caption{Statistical analysis of the width of the angular distribution
883 > that the force and torque vectors from a given electrostatic method
884 > make with their counterparts obtained using the reference Ewald sum.
885 > Results with a variance ($\sigma^2$) equal to zero (dashed line)
886 > indicate force and torque directions indistinguishable from those
887 > obtained using SPME.  Different values of the cutoff radius are
888 > indicated with different symbols (9\AA\ = circles, 12\AA\ = squares,
889 > and 15\AA\ = inverted triangles).}
890   \label{fig:frcTrqAng}
891   \end{figure}
892  
893   Both the force and torque $\sigma^2$ results from the analysis of the
894   total accumulated system data are tabulated in figure
895 < \ref{fig:frcTrqAng}.  All of the sets, aside from the over-damped case
896 < show the improvement afforded by choosing a longer simulation cutoff.
897 < Increasing the cutoff from 9 to 12 \AA\ typically results in a halving
898 < of the distribution widths, with a similar improvement going from 12
899 < to 15 \AA .  The undamped {\sc sf}, Group Based Cutoff, and
892 < Reaction Field methods all do equivalently well at capturing the
893 < direction of both the force and torque vectors.  Using damping
894 < improves the angular behavior significantly for the {\sc sp}
895 < and moderately for the {\sc sf} methods.  Increasing the damping
896 < too far is destructive for both methods, particularly to the torque
897 < vectors.  Again it is important to recognize that the force vectors
898 < cover all particles in the systems, while torque vectors are only
899 < available for neutral molecular groups.  Damping appears to have a
900 < more beneficial effect on non-neutral bodies, and this observation is
901 < investigated further in the accompanying supporting information.
895 > \ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc
896 > sp}) method would be essentially unusable for molecular dynamics until
897 > the damping function is added.  The Shifted Force ({\sc sf}) method,
898 > however, is generating force and torque vectors which are within a few
899 > degrees of the Ewald results even with weak (or no) damping.
900  
901 + All of the sets (aside from the over-damped case) show the improvement
902 + afforded by choosing a larger cutoff radius.  Increasing the cutoff
903 + from 9 to 12 \AA\ typically results in a halving of the width of the
904 + distribution, with a similar improvement going from 12 to 15
905 + \AA .
906 +
907 + The undamped {\sc sf}, group-based cutoff, and reaction field methods
908 + all do equivalently well at capturing the direction of both the force
909 + and torque vectors.  Using damping improves the angular behavior
910 + significantly for the {\sc sp} and moderately for the {\sc sf}
911 + methods.  Overdamping is detrimental to both methods.  Again it is
912 + important to recognize that the force vectors cover all particles in
913 + the systems, while torque vectors are only available for neutral
914 + molecular groups.  Damping appears to have a more beneficial effect on
915 + charged bodies, and this observation is investigated further in the
916 + accompanying supporting information.
917 +
918 + Although not discussed previously, group based cutoffs can be applied
919 + to both the {\sc sp} and {\sc sf} methods.  Use of a switching
920 + function corrects for the discontinuities that arise when atoms of the
921 + two groups exit the cutoff radius before the group centers leave each
922 + other's cutoff. Though there are no significant benefits or drawbacks
923 + observed in $\Delta E$ and vector magnitude results when doing this,
924 + there is a measurable improvement in the vector angle results.  Table
925 + \ref{tab:groupAngle} shows the angular variance values obtained using
926 + group based cutoffs and a switching function alongside the results
927 + seen in figure \ref{fig:frcTrqAng}.  The {\sc sp} shows much narrower
928 + angular distributions for both the force and torque vectors when using
929 + an $\alpha$ of 0.2 \AA$^{-1}$ or less, while {\sc sf} shows
930 + improvements in the undamped and lightly damped cases.  Thus, by
931 + calculating the electrostatic interactions in terms of molecular pairs
932 + rather than atomic pairs, the direction of the force and torque
933 + vectors can be determined more accurately.
934 +
935   \begin{table}[htbp]
936     \centering
937     \caption{Variance ($\sigma^2$) of the force (top set) and torque
# Line 934 | Line 966 | investigated further in the accompanying supporting in
966     \label{tab:groupAngle}
967   \end{table}
968  
937 Although not discussed previously, group based cutoffs can be applied
938 to both the {\sc sp} and {\sc sf} methods.  Use off a
939 switching function corrects for the discontinuities that arise when
940 atoms of a group exit the cutoff before the group's center of mass.
941 Though there are no significant benefit or drawbacks observed in
942 $\Delta E$ and vector magnitude results when doing this, there is a
943 measurable improvement in the vector angle results.  Table
944 \ref{tab:groupAngle} shows the angular variance values obtained using
945 group based cutoffs and a switching function alongside the standard
946 results seen in figure \ref{fig:frcTrqAng} for comparison purposes.
947 The {\sc sp} shows much narrower angular distributions for
948 both the force and torque vectors when using an $\alpha$ of 0.2
949 \AA$^{-1}$ or less, while {\sc sf} shows improvements in the
950 undamped and lightly damped cases.  Thus, by calculating the
951 electrostatic interactions in terms of molecular pairs rather than
952 atomic pairs, the direction of the force and torque vectors are
953 determined more accurately.
954
969   One additional trend to recognize in table \ref{tab:groupAngle} is
970 < that the $\sigma^2$ values for both {\sc sp} and
971 < {\sc sf} converge as $\alpha$ increases, something that is easier
972 < to see when using group based cutoffs.  Looking back on figures
973 < \ref{fig:delE}, \ref{fig:frcMag}, and \ref{fig:trqMag}, show this
974 < behavior clearly at large $\alpha$ and cutoff values.  The reason for
975 < this is that the complimentary error function inserted into the
976 < potential weakens the electrostatic interaction as $\alpha$ increases.
977 < Thus, at larger values of $\alpha$, both the summation method types
978 < progress toward non-interacting functions, so care is required in
979 < choosing large damping functions lest one generate an undesirable loss
980 < in the pair interaction.  Kast \textit{et al.}  developed a method for
981 < choosing appropriate $\alpha$ values for these types of electrostatic
982 < summation methods by fitting to $g(r)$ data, and their methods
983 < indicate optimal values of 0.34, 0.25, and 0.16 \AA$^{-1}$ for cutoff
984 < values of 9, 12, and 15 \AA\ respectively.\cite{Kast03} These appear
985 < to be reasonable choices to obtain proper MC behavior
986 < (Fig. \ref{fig:delE}); however, based on these findings, choices this
987 < high would introduce error in the molecular torques, particularly for
988 < the shorter cutoffs.  Based on the above findings, empirical damping
975 < up to 0.2 \AA$^{-1}$ proves to be beneficial, but damping is arguably
976 < unnecessary when using the {\sc sf} method.
970 > that the $\sigma^2$ values for both {\sc sp} and {\sc sf} converge as
971 > $\alpha$ increases, something that is easier to see when using group
972 > based cutoffs.  The reason for this is that the complimentary error
973 > function inserted into the potential weakens the electrostatic
974 > interaction as $\alpha$ increases.  Thus, at larger values of
975 > $\alpha$, both summation methods progress toward non-interacting
976 > functions, so care is required in choosing large damping functions
977 > lest one generate an undesirable loss in the pair interaction.  Kast
978 > \textit{et al.}  developed a method for choosing appropriate $\alpha$
979 > values for these types of electrostatic summation methods by fitting
980 > to $g(r)$ data, and their methods indicate optimal values of 0.34,
981 > 0.25, and 0.16 \AA$^{-1}$ for cutoff values of 9, 12, and 15 \AA\
982 > respectively.\cite{Kast03} These appear to be reasonable choices to
983 > obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on
984 > these findings, choices this high would introduce error in the
985 > molecular torques, particularly for the shorter cutoffs.  Based on the
986 > above findings, empirical damping up to 0.2 \AA$^{-1}$ proves to be
987 > beneficial, but damping may be unnecessary when using the {\sc sf}
988 > method.
989  
990   \subsection{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}
991  
992 < In the previous studies using a {\sc sf} variant of the damped
993 < Wolf coulomb potential, the structure and dynamics of water were
994 < investigated rather extensively.\cite{Zahn02,Kast03} Their results
995 < indicated that the damped {\sc sf} method results in properties
996 < very similar to those obtained when using the Ewald summation.
997 < Considering the statistical results shown above, the good performance
998 < of this method is not that surprising.  Rather than consider the same
999 < systems and simply recapitulate their results, we decided to look at
1000 < the solid state dynamical behavior obtained using the best performing
1001 < summation methods from the above results.
992 > Zahn {\it et al.} investigated the structure and dynamics of water
993 > using eqs. (\ref{eq:ZahnPot}) and
994 > (\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated
995 > that a method similar (but not identical with) the damped {\sc sf}
996 > method resulted in properties very similar to those obtained when
997 > using the Ewald summation.  The properties they studied (pair
998 > distribution functions, diffusion constants, and velocity and
999 > orientational correlation functions) may not be particularly sensitive
1000 > to the long-range and collective behavior that governs the
1001 > low-frequency behavior in crystalline systems.
1002  
1003 + We are using two separate measures to probe the effects of these
1004 + alternative electrostatic methods on the dynamics in crystalline
1005 + materials.  For short- and intermediate-time dynamics, we are
1006 + computing the velocity autocorrelation function, and for long-time
1007 + and large length-scale collective motions, we are looking at the
1008 + low-frequency portion of the power spectrum.
1009 +
1010   \begin{figure}
1011   \centering
1012   \includegraphics[width = \linewidth]{./vCorrPlot.pdf}
1013   \caption{Velocity auto-correlation functions of NaCl crystals at
1014 < 1000 K while using SPME, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and
1015 < {\sc sp} ($\alpha$ = 0.2). The inset is a magnification of the first
1016 < trough. The times to first collision are nearly identical, but the
1017 < differences can be seen in the peaks and troughs, where the undamped
1018 < to weakly damped methods are stiffer than the moderately damped and
1019 < SPME methods.}
1014 > 1000 K using SPME, {\sc sf} ($\alpha$ = 0.0, 0.1, \& 0.2), and {\sc
1015 > sp} ($\alpha$ = 0.2). The inset is a magnification of the area around
1016 > the first minimum.  The times to first collision are nearly identical,
1017 > but differences can be seen in the peaks and troughs, where the
1018 > undamped and weakly damped methods are stiffer than the moderately
1019 > damped and SPME methods.}
1020   \label{fig:vCorrPlot}
1021   \end{figure}
1022  

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