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# Line 83 | Line 83 | preprint,
83    energy conservation properties that make it an excellent choice for
84    efficient computation of electrostatic interactions in molecular
85    dynamics simulations.  Both SP and GSF are able to reproduce
86 <  structural and dyanamical properties in the liquid models with
86 >  structural and dynamical properties in the liquid models with
87    excellent fidelity.
88   \end{abstract}
89  
# Line 165 | Line 165 | simulations.\cite{Zahn:2002hc} Zahn \textit{et al.}, a
165   formulation, the total energy for the charge and image were not equal
166   to the integral of the force expression, and as a result, the total
167   energy would not be conserved in molecular dynamics (MD)
168 < simulations.\cite{Zahn:2002hc} Zahn \textit{et al.}, and Fennel and
168 > simulations.\cite{Zahn:2002hc} Zahn \textit{et al.}, and Fennell and
169   Gezelter later proposed shifted force variants of the Wolf method with
170   commensurate force and energy expressions that do not exhibit this
171   problem.\cite{Zahn:2002hc,Fennell:2006lq} Related real-space methods
172   were also proposed by Chen \textit{et
173    al.}\cite{Chen:2004du,Chen:2006ii,Denesyuk:2008ez,Rodgers:2006nw}
174 < and by Wu and Brooks.\cite{Wu:044107} Recently, Fukuda has successfuly
174 > and by Wu and Brooks.\cite{Wu:044107} Recently, Fukuda has successfully
175   used additional neutralization of higher order moments for systems of
176   point charges.\cite{Fukuda:2013sf}
177  
# Line 223 | Line 223 | cutoff sphere that are integral to the Wolf and DSF ap
223   Even at elevated temperatures, there is local charge balance in an
224   ionic liquid, where each positive ion has surroundings dominated by
225   negative ions and vice versa.  The reversed-charge images on the
226 < cutoff sphere that are integral to the Wolf and DSF approaches retain
227 < the effective multipolar interactions as the charges traverse the
228 < cutoff boundary.
226 > cutoff sphere that are integral to the Wolf and damped shifted force
227 > (DSF) approaches retain the effective multipolar interactions as the
228 > charges traverse the cutoff boundary.
229  
230   In multipolar fluids (see Fig. \ref{fig:schematic}) there is
231   significant orientational averaging that additionally reduces the
232   effect of long-range multipolar interactions.  The image multipoles
233 < that are introduced in the TSF, GSF, and SP methods mimic this effect
233 > that are introduced in the Taylor shifted force (TSF), gradient
234 > shifted force (GSF), and shifted potential (SP) methods mimic this effect
235   and reduce the effective range of the multipolar interactions as
236   interacting molecules traverse each other's cutoff boundaries.
237  
238   Forces and torques acting on atomic sites are fundamental in driving
239 < dynamics in molecular simulations, and the damped shifted force (DSF)
240 < energy kernel provides consistent energies and forces on charged atoms
241 < within the cutoff sphere. Both the energy and the force go smoothly to
242 < zero as an atom aproaches the cutoff radius. The comparisons of the
243 < accuracy these quantities between the DSF kernel and SPME was
244 < surprisingly good.\cite{Fennell:2006lq} As a result, the DSF method
245 < has seen increasing use in molecular systems with relatively uniform
245 < charge
239 > dynamics in molecular simulations, and the DSF energy kernel provides
240 > consistent energies and forces on charged atoms within the cutoff
241 > sphere. Both the energy and the force go smoothly to zero as an atom
242 > approaches the cutoff radius. The comparisons of the accuracy these
243 > quantities between the DSF kernel and SPME was surprisingly
244 > good.\cite{Fennell:2006lq} As a result, the DSF method has seen
245 > increasing use in molecular systems with relatively uniform charge
246   densities.\cite{English08,Kannam:2012rr,Space12,Lawrence13,Acevedo13,Shi:2013ij,Vergne13}
247  
248   \subsection{The damping function}
# Line 257 | Line 257 | With moderate damping coefficients, $\alpha \sim 0.2$,
257   produce complementary error functions when truncated at a finite
258   distance.
259  
260 < With moderate damping coefficients, $\alpha \sim 0.2$, the DSF method
260 > With moderate damping coefficients, $\alpha \sim 0.2$ \AA$^{-1}$, the DSF method
261   produced very good agreement with SPME for interaction energies,
262   forces and torques for charge-charge
263   interactions.\cite{Fennell:2006lq}
# Line 343 | Line 343 | U_{D_{a}D_{b}}(r)= -\frac{1}{4\pi \epsilon_0} \left[ \
343   \cdot \mathbf{D}_{b}$) is treated differently than the dipole-distance
344   dot products:
345   \begin{equation}
346 < U_{D_{a}D_{b}}(r)= -\frac{1}{4\pi \epsilon_0} \left[ \left(
346 > U_{\mathbf{D}_{a}\mathbf{D}_{b}}(r)= -\frac{1}{4\pi \epsilon_0} \left[ \left(
347    \mathbf{D}_{a} \cdot
348   \mathbf{D}_{b} \right) v_{21}(r) +
349   \left( \mathbf{D}_{a} \cdot \hat{\mathbf{r}} \right)
# Line 372 | Line 372 | U_{D_{a}D_{b}}(r)  = U_{D_{a}D_{b}}(r) -
372   which have been projected onto the surface of the cutoff sphere
373   without changing their relative orientation,
374   \begin{equation}
375 < U_{D_{a}D_{b}}(r)  = U_{D_{a}D_{b}}(r) -
376 < U_{D_{a}D_{b}}(r_c)
375 > U_{\mathbf{D}_{a}\mathbf{D}_{b}}(r)  = U_{\mathbf{D}_{a}\mathbf{D}_{b}}(r) -
376 > U_{\mathbf{D}_{a}\mathbf{D}_{b}}(r_c)
377     - (r_{ab}-r_c) ~~~\hat{\mathbf{r}}_{ab} \cdot
378 <  \nabla U_{D_{a}D_{b}}(r_c).
378 >  \nabla U_{\mathbf{D}_{a}\mathbf{D}_{b}}(r_c).
379   \end{equation}
380   Here the lab-frame orientations of the two dipoles, $\mathbf{D}_{a}$ and $\mathbf{D}_{b}$, are retained at the cutoff distance
381   (although the signs are reversed for the dipole that has been
# Line 482 | Line 482 | in the test cases are given in table~\ref{tab:pars}.
482   in the test cases are given in table~\ref{tab:pars}.
483  
484   \begin{table}
485 < \caption{The parameters used in the systems used to evaluate the new
486 <  real-space methods.  The most comprehensive test was a liquid
487 <  composed of 2000 SSDQ molecules with 48 dissolved ions (24 \ce{Na+} and 24 \ce{Cl-}
488 <  ions).  This test excercises all orders of the multipolar
489 <  interactions developed in the first paper.\label{tab:pars}}
485 >  \caption{The parameters used in the systems used to evaluate the new
486 >    real-space methods.  The most comprehensive test was a liquid
487 >    composed of 2000 soft DQ liquid molecules with 48 dissolved ions (24 \ce{Na+} and 24 \ce{Cl-}
488 >    ions).  This test exercises all orders of the multipolar
489 >    interactions developed in the first paper.\label{tab:pars}}
490   \begin{tabularx}{\textwidth}{r|cc|YYccc|Yccc} \hline
491               & \multicolumn{2}{c|}{LJ parameters} &
492               \multicolumn{5}{c|}{Electrostatic moments} & & & & \\
# Line 499 | Line 499 | Soft Quadrupolar solid & 2.837 & 1.0   &  &  & -1&-1&-
499      Soft Dipolar solid & 2.837 & 1.0   &  & 2.35 & & & & $10^4$  & 17.6 &17.6 & 0 \\
500   Soft Quadrupolar fluid & 3.051 & 0.152 &  &  & -1&-1&-2.5 & 18.0153 & 1.77&0.6145&1.155  \\
501   Soft Quadrupolar solid & 2.837 & 1.0   &  &  & -1&-1&-2.5 & $10^4$  & 17.6&17.6&0 \\
502 <      SSDQ water  & 3.051 & 0.152 &  & 2.35 & -1.35&0&-0.68 & 18.0153 & 1.77&0.6145&1.155 \\
502 >      Soft DQ liquid  & 3.051 & 0.152 &  & 2.35 & -1.35&0&-0.68 & 18.0153 & 1.77&0.6145&1.155 \\
503                \ce{Na+} & 2.579 & 0.118 & +1& & & & & 22.99 & & &\\
504                \ce{Cl-} & 4.445 & 0.1   & -1& & & & & 35.4527& & & \\ \hline
505   \end{tabularx}
# Line 511 | Line 511 | relatively strict translational order.  The SSDQ model
511   charges in addition to the multipolar fluid.  The solid-phase
512   parameters were chosen so that the systems can explore some
513   orientational freedom for the multipolar sites, while maintaining
514 < relatively strict translational order.  The SSDQ model used here is
515 < not a particularly accurate water model, but it does test
516 < dipole-dipole, dipole-quadrupole, and quadrupole-quadrupole
517 < interactions at roughly the same magnitudes. The last test case, SSDQ
518 < water with dissolved ions, exercises \textit{all} levels of the
519 < multipole-multipole interactions we have derived so far and represents
520 < the most complete test of the new methods.
514 > relatively strict translational order.  The soft DQ liquid model used
515 > here based loosely on the SSDQO water
516 > model,\cite{Ichiye10_1,Ichiye10_2,Ichiye10_3} but is not itself a
517 > particularly accurate water model.  However, the soft DQ model does
518 > test dipole-dipole, dipole-quadrupole, and quadrupole-quadrupole
519 > interactions at roughly the same magnitudes. The last test case, a
520 > soft DQ liquid with dissolved ions, exercises \textit{all} levels of
521 > the multipole-multipole interactions we have derived so far and
522 > represents the most complete test of the new methods.
523  
524   In the following section, we present results for the total
525   electrostatic energy, as well as the electrostatic contributions to
# Line 595 | Line 597 | ensemble.  We collected 250 different configurations a
597   simulations, each system was created with 2,048 randomly-oriented
598   molecules.  These were equilibrated at a temperature of 300K for 1 ns.
599   Each system was then simulated for 1 ns in the microcanonical (NVE)
600 < ensemble.  We collected 250 different configurations at equal time
601 < intervals. For the liquid system that included ionic species, we
602 < converted 48 randomly-distributed molecules into 24 \ce{Na+} and 24
603 < \ce{Cl-} ions and re-equilibrated. After equilibration, the system was
604 < run under the same conditions for 1 ns. A total of 250 configurations
605 < were collected. In the following comparisons of energies, forces, and
606 < torques, the Lennard-Jones potentials were turned off and only the
607 < purely electrostatic quantities were compared with the same values
608 < obtained via the Ewald sum.
600 > ensemble with the Dullweber, Leimkuhler, and McLachlan (DLM)
601 > symplectic splitting integrator using 1 fs
602 > timesteps.\cite{Dullweber1997} We collected 250 different
603 > configurations at equal time intervals. For the liquid system that
604 > included ionic species, we converted 48 randomly-distributed molecules
605 > into 24 \ce{Na+} and 24 \ce{Cl-} ions and re-equilibrated. After
606 > equilibration, the system was run under the same conditions for 1
607 > ns. A total of 250 configurations were collected. In the following
608 > comparisons of energies, forces, and torques, the Lennard-Jones
609 > potentials were turned off and only the purely electrostatic
610 > quantities were compared with the same values obtained via the Ewald
611 > sum.
612  
613   \subsection{Accuracy of Energy Differences, Forces and Torques}
614   The pairwise summation techniques (outlined above) were evaluated for
# Line 619 | Line 624 | with the multipolar Ewald reference method.  Unitary r
624   Since none of the real-space methods provide exact energy differences,
625   we used least square regressions analysis for the six different
626   molecular systems to compare $\Delta E$ from Hard, SP, GSF, and TSF
627 < with the multipolar Ewald reference method.  Unitary results for both
628 < the correlation (slope) and correlation coefficient for these
629 < regressions indicate perfect agreement between the real-space method
630 < and the multipolar Ewald sum.
627 > with the multipolar Ewald reference method.  A result of unity for
628 > both the correlation (slope) and coefficient of determination ($R^2$)
629 > for these regressions would indicate perfect agreement between the
630 > real-space method and the multipolar Ewald sum.
631  
632   Molecular systems were run long enough to explore independent
633   configurations and 250 configurations were recorded for comparison.
# Line 641 | Line 646 | force and torque vectors. Fisher developed a probablit
646   simulations.  Because the real space methods reweight the different
647   orientational contributions to the energies, it is also important to
648   understand how the methods impact the \textit{directionality} of the
649 < force and torque vectors. Fisher developed a probablity density
649 > force and torque vectors. Fisher developed a probability density
650   function to analyse directional data sets,
651   \begin{equation}
652   p_f(\theta) = \frac{\kappa}{2 \sinh\kappa}\sin\theta e^{\kappa \cos\theta}
# Line 655 | Line 660 | evaluated,
660   the forces obtained via the Ewald sum and the real-space methods were
661   evaluated,
662   \begin{equation}
663 < \cos\theta_i =  \frac{\vec{f}_i^\mathrm{~Ewald} \cdot
664 <  \vec{f}_i^\mathrm{~GSF}}{\left|\vec{f}_i^\mathrm{~Ewald}\right| \left|\vec{f}_i^\mathrm{~GSF}\right|}
663 >  \cos\theta_i =  \frac{\mathbf{f}_i^\mathrm{~Ewald} \cdot
664 >    \mathbf{f}_i^\mathrm{~GSF}}{\left|\mathbf{f}_i^\mathrm{~Ewald}\right| \left|\mathbf{f}_i^\mathrm{~GSF}\right|}
665   \end{equation}
666   The total angular displacement of the vectors was calculated as,
667   \begin{equation}
# Line 679 | Line 684 | system of 2000 SSDQ water molecules with 24 \ce{Na+} a
684  
685   \subsection{Energy conservation}
686   To test conservation the energy for the methods, the mixed molecular
687 < system of 2000 SSDQ water molecules with 24 \ce{Na+} and 24 \ce{Cl-}
688 < ions was run for 1 ns in the microcanonical ensemble at an average
689 < temperature of 300K.  Each of the different electrostatic methods
690 < (Ewald, Hard, SP, GSF, and TSF) was tested for a range of different
691 < damping values. The molecular system was started with same initial
692 < positions and velocities for all cutoff methods. The energy drift
693 < ($\delta E_1$) and standard deviation of the energy about the slope
694 < ($\delta E_0$) were evaluated from the total energy of the system as a
695 < function of time.  Although both measures are valuable at
687 > system of 2000 soft DQ liquid molecules with 24 \ce{Na+} and 24
688 > \ce{Cl-} ions was run for 1 ns in the microcanonical ensemble at an
689 > average temperature of 300K.  Each of the different electrostatic
690 > methods (Ewald, Hard, SP, GSF, and TSF) was tested for a range of
691 > different damping values. The molecular system was started with same
692 > initial positions and velocities for all cutoff methods. The energy
693 > drift ($\delta E_1$) and standard deviation of the energy about the
694 > slope ($\delta E_0$) were evaluated from the total energy of the
695 > system as a function of time.  Although both measures are valuable at
696   investigating new methods for molecular dynamics, a useful interaction
697   model must allow for long simulation times with minimal energy drift.
698  
# Line 696 | Line 701 | model must allow for long simulation times with minima
701  
702   \begin{figure}
703    \centering
704 <  \includegraphics[width=0.85\linewidth]{energyPlot_slopeCorrelation_combined.eps}
704 >  \includegraphics[width=0.6\linewidth]{energyPlot_slopeCorrelation_combined.eps}
705    \caption{Statistical analysis of the quality of configurational
706      energy differences for the real-space electrostatic methods
707      compared with the reference Ewald sum.  Results with a value equal
708      to 1 (dashed line) indicate $\Delta E$ values indistinguishable
709      from those obtained using the multipolar Ewald sum.  Different
710      values of the cutoff radius are indicated with different symbols
711 <    (9\AA\ = circles, 12\AA\ = squares, and 15\AA\ = inverted
711 >    (9~\AA\ = circles, 12~\AA\ = squares, and 15~\AA\ = inverted
712      triangles).\label{fig:slopeCorr_energy}}
713   \end{figure}
714  
715 < The combined correlation coefficient and slope for all six systems is
716 < shown in Figure ~\ref{fig:slopeCorr_energy}.  Most of the methods
717 < reproduce the Ewald configurational energy differences with remarkable
718 < fidelity.  Undamped hard cutoffs introduce a significant amount of
719 < random scatter in the energy differences which is apparent in the
720 < reduced value of the correlation coefficient for this method.  This
721 < can be easily understood as configurations which exhibit small
722 < traversals of a few dipoles or quadrupoles out of the cutoff sphere
723 < will see large energy jumps when hard cutoffs are used.  The
724 < orientations of the multipoles (particularly in the ordered crystals)
725 < mean that these energy jumps can go in either direction, producing a
726 < significant amount of random scatter, but no systematic error.
715 > The combined coefficient of determination and slope for all six
716 > systems is shown in Figure ~\ref{fig:slopeCorr_energy}.  Most of the
717 > methods reproduce the Ewald configurational energy differences with
718 > remarkable fidelity.  Undamped hard cutoffs introduce a significant
719 > amount of random scatter in the energy differences which is apparent
720 > in the reduced value of $R^2$ for this method.  This can be easily
721 > understood as configurations which exhibit small traversals of a few
722 > dipoles or quadrupoles out of the cutoff sphere will see large energy
723 > jumps when hard cutoffs are used.  The orientations of the multipoles
724 > (particularly in the ordered crystals) mean that these energy jumps
725 > can go in either direction, producing a significant amount of random
726 > scatter, but no systematic error.
727  
728   The TSF method produces energy differences that are highly correlated
729   with the Ewald results, but it also introduces a significant
# Line 729 | Line 734 | excellent fidelity, particularly for moderate damping
734   effect, particularly for the crystalline systems.
735  
736   Both the SP and GSF methods appear to reproduce the Ewald results with
737 < excellent fidelity, particularly for moderate damping ($\alpha =
738 < 0.1-0.2$\AA$^{-1}$) and with a commonly-used cutoff value ($r_c =
739 < 12$\AA).  With the exception of the undamped hard cutoff, and the TSF
737 > excellent fidelity, particularly for moderate damping ($\alpha \approx
738 > 0.2$~\AA$^{-1}$) and with a commonly-used cutoff value ($r_c =
739 > 12$~\AA).  With the exception of the undamped hard cutoff, and the TSF
740   method with short cutoffs, all of the methods would be appropriate for
741   use in Monte Carlo simulations.
742  
# Line 761 | Line 766 | commonly-used cutoff values ($r_c = 12$\AA).  The TSF
766   energy conservation issues, and this perturbation is evident in the
767   statistics accumulated for the molecular forces.  The GSF
768   perturbations are minimal, particularly for moderate damping and
769 < commonly-used cutoff values ($r_c = 12$\AA).  The TSF method shows
770 < reasonable agreement in the correlation coefficient but again the
771 < systematic error in the forces is concerning if replication of Ewald
767 < forces is desired.
769 > commonly-used cutoff values ($r_c = 12$~\AA).  The TSF method shows
770 > reasonable agreement in $R^2$, but again the systematic error in the
771 > forces is concerning if replication of Ewald forces is desired.
772  
773   It is important to note that the forces and torques from the SP and
774   the Hard cutoffs are not identical. The SP method shifts each
# Line 782 | Line 786 | for multipoles even though the forces for point charge
786      the reference Ewald sum. Results with a value equal to 1 (dashed
787      line) indicate force magnitude values indistinguishable from those
788      obtained using the multipolar Ewald sum.  Different values of the
789 <    cutoff radius are indicated with different symbols (9\AA\ =
790 <    circles, 12\AA\ = squares, and 15\AA\ = inverted
789 >    cutoff radius are indicated with different symbols (9~\AA\ =
790 >    circles, 12~\AA\ = squares, and 15~\AA\ = inverted
791      triangles).\label{fig:slopeCorr_force}}
792   \end{figure}
793  
# Line 796 | Line 800 | for multipoles even though the forces for point charge
800      the reference Ewald sum. Results with a value equal to 1 (dashed
801      line) indicate force magnitude values indistinguishable from those
802      obtained using the multipolar Ewald sum.  Different values of the
803 <    cutoff radius are indicated with different symbols (9\AA\ =
804 <    circles, 12\AA\ = squares, and 15\AA\ = inverted
803 >    cutoff radius are indicated with different symbols (9~\AA\ =
804 >    circles, 12~\AA\ = squares, and 15~\AA\ = inverted
805      triangles).\label{fig:slopeCorr_torque}}
806   \end{figure}
807  
# Line 812 | Line 816 | of the damping coefficient ($\alpha = 0.1-0.2$\AA$^{-1
816   reproduces the torques in quite good agreement with the Ewald sum.
817   The other real-space methods can cause some deviations, but excellent
818   agreement with the Ewald sum torques is recovered at moderate values
819 < of the damping coefficient ($\alpha = 0.1-0.2$\AA$^{-1}$) and cutoff
820 < radius ($r_c \ge 12$\AA).  The TSF method exhibits only fair agreement
819 > of the damping coefficient ($\alpha \approx 0.2$~\AA$^{-1}$) and cutoff
820 > radius ($r_c \ge 12$~\AA).  The TSF method exhibits only fair agreement
821   in the slope when compared with the Ewald torques even for larger
822   cutoff radii.  It appears that the severity of the perturbations in
823   the TSF method are most in evidence for the torques.
# Line 825 | Line 829 | directionality is shown in terms of circular variance
829   these quantities. Force and torque vectors for all six systems were
830   analyzed using Fisher statistics, and the quality of the vector
831   directionality is shown in terms of circular variance
832 < ($\mathrm{Var}(\theta)$) in figure
833 < \ref{fig:slopeCorr_circularVariance}. The force and torque vectors
834 < from the new real-space methods exhibit nearly-ideal Fisher probability
835 < distributions (Eq.~\ref{eq:pdf}). Both the hard and SP cutoff methods
836 < exhibit the best vectorial agreement with the Ewald sum. The force and
837 < torque vectors from GSF method also show good agreement with the Ewald
838 < method, which can also be systematically improved by using moderate
839 < damping and a reasonable cutoff radius. For $\alpha = 0.2$ and $r_c =
840 < 12$\AA, we observe $\mathrm{Var}(\theta) = 0.00206$, which corresponds
841 < to a distribution with 95\% of force vectors within $6.37^\circ$ of
842 < the corresponding Ewald forces. The TSF method produces the poorest
843 < agreement with the Ewald force directions.
832 > ($\mathrm{Var}(\theta)$) in
833 > Fig. \ref{fig:slopeCorr_circularVariance}. The force and torque
834 > vectors from the new real-space methods exhibit nearly-ideal Fisher
835 > probability distributions (Eq.~\ref{eq:pdf}). Both the hard and SP
836 > cutoff methods exhibit the best vectorial agreement with the Ewald
837 > sum. The force and torque vectors from GSF method also show good
838 > agreement with the Ewald method, which can also be systematically
839 > improved by using moderate damping and a reasonable cutoff radius. For
840 > $\alpha = 0.2$~\AA$^{-1}$ and $r_c = 12$~\AA, we observe
841 > $\mathrm{Var}(\theta) = 0.00206$, which corresponds to a distribution
842 > with 95\% of force vectors within $6.37^\circ$ of the corresponding
843 > Ewald forces. The TSF method produces the poorest agreement with the
844 > Ewald force directions.
845  
846   Torques are again more perturbed than the forces by the new real-space
847   methods, but even here the variance is reasonably small.  For the same
848 < method (GSF) with the same parameters ($\alpha = 0.2, r_c = 12$\AA),
849 < the circular variance was 0.01415, corresponds to a distribution which
850 < has 95\% of torque vectors are within $16.75^\circ$ of the Ewald
851 < results. Again, the direction of the force and torque vectors can be
852 < systematically improved by varying $\alpha$ and $r_c$.
848 > method (GSF) with the same parameters ($\alpha = 0.2$~\AA$^{-1}$, $r_c
849 > = 12$~\AA), the circular variance was 0.01415, corresponds to a
850 > distribution which has 95\% of torque vectors are within $16.75^\circ$
851 > of the Ewald results. Again, the direction of the force and torque
852 > vectors can be systematically improved by varying $\alpha$ and $r_c$.
853  
854   \begin{figure}
855    \centering
# Line 855 | Line 860 | systematically improved by varying $\alpha$ and $r_c$.
860      indicates direction of the force or torque vectors are
861      indistinguishable from those obtained from the Ewald sum. Here
862      different symbols represent different values of the cutoff radius
863 <    (9 \AA\ = circle, 12 \AA\ = square, 15 \AA\ = inverted triangle)\label{fig:slopeCorr_circularVariance}}
863 >    (9~\AA\ = circle, 12~\AA\ = square, 15~\AA\ = inverted triangle)\label{fig:slopeCorr_circularVariance}}
864   \end{figure}
865  
866   \subsection{Energy conservation\label{sec:conservation}}
867  
868   We have tested the conservation of energy one can expect to see with
869 < the new real-space methods using the SSDQ water model with a small
869 > the new real-space methods using the soft DQ liquid model with a small
870   fraction of solvated ions. This is a test system which exercises all
871   orders of multipole-multipole interactions derived in the first paper
872   in this series and provides the most comprehensive test of the new
873 < methods.  A liquid-phase system was created with 2000 water molecules
874 < and 48 dissolved ions at a density of 0.98 g cm$^{-3}$ and a
873 > methods.  A liquid-phase system was created with 2000 liquid-phase
874 > molecules and 48 dissolved ions at a density of 0.98 g cm$^{-3}$ and a
875   temperature of 300K.  After equilibration in the canonical (NVT)
876 < ensemble using a Nos\'e-Hoover thermostat, this liquid-phase system
877 < was run for 1 ns in the microcanonical (NVE) ensemble under the Ewald,
878 < Hard, SP, GSF, and TSF methods with a cutoff radius of 12\AA.  The
879 < value of the damping coefficient was also varied from the undamped
880 < case ($\alpha = 0$) to a heavily damped case ($\alpha = 0.3$
881 < \AA$^{-1}$) for all of the real space methods.  A sample was also run
882 < using the multipolar Ewald sum with the same real-space cutoff.
876 > ensemble using a Nos\'e-Hoover thermostat, six
877 > statistically-independent replicas of this liquid-phase system were
878 > run in the microcanonical (NVE) ensemble under the Ewald, Hard, SP,
879 > GSF, and TSF methods with a cutoff radius of 12~\AA.  The value of the
880 > damping coefficient was also varied from the undamped case ($\alpha =
881 > 0$) to a heavily damped case ($\alpha = 0.3$~\AA$^{-1}$) for all of
882 > the real space methods.  A sample was also run using the multipolar
883 > Ewald sum with the same real-space cutoff.
884  
885   In figure~\ref{fig:energyDrift} we show the both the linear drift in
886   energy over time, $\delta E_1$, and the standard deviation of energy
# Line 895 | Line 901 | cutoff values are utilized.
901  
902   \begin{figure}
903    \centering
904 <  \includegraphics[width=\textwidth]{newDrift_12.eps}
905 <  \caption{Energy conservation of the real-space methods for the SSDQ
906 <    water/ion system. $\delta \mathrm{E}_1$ is the linear drift in
907 <    energy over time (in kcal/mol/particle/ns) and $\delta
904 >  \includegraphics[width=\textwidth]{finalDrift.eps}
905 >  \caption{Energy conservation of the real-space methods for the soft
906 >    DQ liquid / ion system. $\delta \mathrm{E}_1$ is the linear drift
907 >    in energy over time (in kcal/mol/particle/ns) and $\delta
908      \mathrm{E}_0$ is the standard deviation of energy fluctuations
909      around this drift (in kcal/mol/particle).  Points that appear in
910      the green region at the bottom exhibit better energy conservation
# Line 918 | Line 924 | the different systems under investigation).  An exampl
924   of the local liquid ordering, one would not expect to see many
925   differences in $g(r)$.  Indeed, the pair distributions are essentially
926   identical for all of the electrostatic methods studied (for each of
927 < the different systems under investigation).  An example of this
922 < agreement for the SSDQ water/ion system is shown in
923 < Fig. \ref{fig:gofr}.
927 > the different systems under investigation).
928  
929 < \begin{figure}
930 <  \centering
927 <  \includegraphics[width=\textwidth]{gofr_ssdqc.eps}
928 < \caption{The pair distribution functions, $g(r)$, for the SSDQ
929 <  water/ion system obtained using the different real-space methods are
930 <  essentially identical with the result from the Ewald
931 <  treatment.\label{fig:gofr}}
932 < \end{figure}
929 > % An example of this agreement for the soft DQ liquid/ion system is
930 > % shown in Fig. \ref{fig:gofr}.
931  
932 < There is a minor overstructuring of the first solvation shell when
932 > % \begin{figure}
933 > %   \centering
934 > %   \includegraphics[width=\textwidth]{gofr_ssdqc.eps}
935 > % \caption{The pair distribution functions, $g(r)$, for the SSDQ
936 > %   water/ion system obtained using the different real-space methods are
937 > %   essentially identical with the result from the Ewald
938 > %   treatment.\label{fig:gofr}}
939 > % \end{figure}
940 >
941 > There is a minor over-structuring of the first solvation shell when
942   using TSF or when overdamping with any of the real-space methods.
943   With moderate damping, GSF and SP produce pair distributions that are
944   identical (within numerical noise) to their Ewald counterparts.  The
945 < degree of overstructuring can be measured most easily using the
945 > degree of over-structuring can be measured most easily using the
946   coordination number,
947   \begin{equation}
948   n_C = 4\pi\rho \int_{0}^{a}r^2\text{g}(r)dr,
949   \end{equation}
950   where $\rho$ is the number density of the site-site pair interactions,
951 < $a$ and is the radial location of the minima following the first peak
952 < in $g(r)$ ($a = 4.2$ \AA for the SSDQ water/ion system).  The
951 > and $a$ is the radial location of the minima following the first peak
952 > in $g(r)$ ($a = 4.2$~\AA\  for the soft DQ liquid / ion system).  The
953   coordination number is shown as a function of the damping coefficient
954 < for all of the real space methods in Fig.  \ref{fig:Props}.
954 > for all of the real space methods in Fig. \ref{fig:Props}.
955  
956   A more demanding test of modified electrostatics is the average value
957   of the electrostatic energy $\langle U_\mathrm{elect} \rangle / N$
958   which is obtained by sampling the liquid-state configurations
959   experienced by a liquid evolving entirely under the influence of each
960 < of the methods.  In fig \ref{fig:Props} we demonstrate how $\langle
960 > of the methods.  In Fig. \ref{fig:Props} we demonstrate how $\langle
961   U_\mathrm{elect} \rangle / N$ varies with the damping parameter,
962 < $\alpha$, for each of the methods.
962 > $\alpha$, for each of the methods.
963  
964   As in the crystals studied in the first paper, damping is important
965   for converging the mean electrostatic energy values, particularly for
966   the two shifted force methods (GSF and TSF).  A value of $\alpha
967 < \approx 0.2$ \AA$^{-1}$ is sufficient to converge the SP and GSF
967 > \approx 0.2$~\AA$^{-1}$ is sufficient to converge the SP and GSF
968   energies with a cutoff of 12 \AA, while shorter cutoffs require more
969 < dramatic damping ($\alpha \approx 0.28$ \AA$^{-1}$ for $r_c = 9$ \AA).
969 > dramatic damping ($\alpha \approx 0.28$~\AA$^{-1}$ for $r_c = 9$~\AA).
970   Overdamping the real-space electrostatic methods occurs with $\alpha >
971 < 0.3$, causing the estimate of the electrostatic energy to drop below
972 < the Ewald results.
971 > 0.3$~\AA$^{-1}$, causing the estimate of the electrostatic energy to
972 > drop below the Ewald results.
973  
974 < These ``optimal'' values of the damping coefficient are slightly
975 < larger than what were observed for DSF electrostatics for purely
976 < point-charge systems, although the range $\alpha= 0.175 \rightarrow
977 < 0.225$ \AA$^{-1}$ for $r_c = 12$\AA\ appears to be an excellent
974 > These ``optimal'' values of the damping coefficient for structural
975 > features are similar to those observed for DSF electrostatics for
976 > purely point-charge systems, and the range $\alpha= 0.175 \rightarrow
977 > 0.225$~\AA$^{-1}$ for $r_c = 12$~\AA\ appears to be an excellent
978   compromise for mixed charge/multipolar systems.
979  
980   To test the fidelity of the electrostatic methods at reproducing
# Line 979 | Line 986 | the multipoles.  The self-diffusion constants (D) were
986   \label{eq:diff}
987   \end{equation}
988   which measures long-time behavior and is sensitive to the forces on
989 < the multipoles.  The self-diffusion constants (D) were calculated from
989 > the multipoles. The self-diffusion constants (D) were calculated from
990   linear fits to the long-time portion of the mean square displacement,
991 < $\langle r^{2}(t) \rangle$.\cite{Allen87} In fig. \ref{fig:Props} we
991 > $\langle r^{2}(t) \rangle$.\cite{Allen87} In Fig. \ref{fig:Props} we
992   demonstrate how the diffusion constant depends on the choice of
993   real-space methods and the damping coefficient.  Both the SP and GSF
994   methods can obtain excellent agreement with Ewald again using moderate
# Line 989 | Line 996 | experiments. These values were determined from the sam
996  
997   In addition to translational diffusion, orientational relaxation times
998   were calculated for comparisons with the Ewald simulations and with
999 < experiments. These values were determined from the same 1~ns
1000 < microcanonical trajectories used for translational diffusion by
994 < calculating the orientational time correlation function,
999 > experiments. These values were determined by calculating the
1000 > orientational time correlation function,
1001   \begin{equation}
1002   C_l^\gamma(t) = \left\langle P_l\left[\hat{\mathbf{A}}_\gamma(t)
1003                  \cdot\hat{\mathbf{A}}_\gamma(0)\right]\right\rangle,
1004   \label{eq:OrientCorr}
1005   \end{equation}
1006 < where $P_l$ is the Legendre polynomial of order $l$ and
1007 < $\hat{\mathbf{A}}_\gamma$ is the unit vector for body axis $\gamma$.
1008 < The reference frame used for our sample dipolar systems has the
1009 < $z$-axis running along the dipoles, and for the SSDQ water model, the
1010 < $y$-axis connects the two implied hydrogen atom positions.  From the
1011 < orientation autocorrelation functions, we can obtain time constants
1012 < for rotational relaxation either by fitting an exponential function or
1013 < by integrating the entire correlation function.  In a good water
1014 < model, these decay times would be comparable to water orientational
1015 < relaxation times from nuclear magnetic resonance (NMR). The relaxation
1010 < constant obtained from $C_2^y(t)$ is normally of experimental interest
1011 < because it describes the relaxation of the principle axis connecting
1012 < the hydrogen atoms. Thus, $C_2^y(t)$ can be compared to the
1013 < intermolecular portion of the dipole-dipole relaxation from a proton
1014 < NMR signal and should provide an estimate of the NMR relaxation time
1015 < constant.\cite{Impey82}
1006 > from the same 350 ps microcanonical trajectories that were used for
1007 > translational diffusion.  Here, $P_l$ is the Legendre polynomial of
1008 > order $l$ and $\hat{\mathbf{A}}_\gamma$ is the unit vector for body
1009 > axis $\gamma$.  The reference frame used for our sample dipolar
1010 > systems has the $z$-axis running along the dipoles, and for the soft
1011 > DQ liquid model, the $y$-axis connects the two implied hydrogen-like
1012 > positions.  From the orientation autocorrelation functions, we can
1013 > obtain time constants for rotational relaxation either by fitting to a
1014 > multi-exponential model for the orientational relaxation, or by
1015 > integrating the correlation functions.
1016  
1017 < Results for the diffusion constants and orientational relaxation times
1018 < are shown in figure \ref{fig:Props}. From this data, it is apparent
1019 < that the values for both $D$ and $\tau_2$ using the Ewald sum are
1020 < reproduced with reasonable fidelity by the GSF method.
1017 > In a good model for water, the orientational decay times would be
1018 > comparable to water orientational relaxation times from nuclear
1019 > magnetic resonance (NMR). The relaxation constant obtained from
1020 > $C_2^y(t)$ is normally of experimental interest because it describes
1021 > the relaxation of the principle axis connecting the hydrogen
1022 > atoms. Thus, $C_2^y(t)$ can be compared to the intermolecular portion
1023 > of the dipole-dipole relaxation from a proton NMR signal and can
1024 > provide an estimate of the NMR relaxation time constant.\cite{Impey82}
1025 > In Fig. \ref{fig:Props} we compare the $\tau_2^y$ and $\tau_2^z$
1026 > values for the various real-space methods over a range of different
1027 > damping coefficients.  The rotational relaxation for the $z$ axis
1028 > primarily probes the torques on the dipoles, while the relaxation for
1029 > the $y$ axis is sensitive primarily to the quadrupolar torques.
1030  
1031   \begin{figure}
1032 +  \includegraphics[width=\textwidth]{properties.eps}
1033    \caption{Comparison of the structural and dynamic properties for the
1034 <    combined multipolar liquid (SSDQ water + ions) for all of the
1035 <    real-space methods with $r_c = 12$\AA. Electrostatic energies,
1034 >    combined multipolar liquid (soft DQ liquid + ions) for all of the
1035 >    real-space methods with $r_c = 12$~\AA. Electrostatic energies,
1036      $\langle U_\mathrm{elect} \rangle / N$ (in kcal / mol),
1037 <    coordination numbers, $n_C$, diffusion constants (in cm$^2$
1038 <    s$^{-1}$), and rotational correlation times (in fs) all show
1039 <    excellent agreement with Ewald results for damping coefficients in
1040 <    the range $\alpha= 0.175 \rightarrow 0.225$
1041 <    \AA$^{-1}$. \label{fig:Props}}
1032 <  \includegraphics[width=\textwidth]{properties.eps}
1037 >    coordination numbers, $n_C$, diffusion constants (in $10^{-5}
1038 >    \mathrm{cm}^2\mathrm{s}^{-1}$), and rotational correlation times
1039 >    (in ps) all show excellent agreement with Ewald results for
1040 >    damping coefficients in the range $\alpha= 0.175 \rightarrow
1041 >    0.225$~\AA$^{-1}$. \label{fig:Props}}
1042   \end{figure}
1043  
1044 + In Fig. \ref{fig:Props} it appears that values for $D$, $\tau_2^y$,
1045 + and $\tau_2^z$ using the Ewald sum are reproduced with excellent
1046 + fidelity by the GSF and SP methods.  All of the real space methods can
1047 + be \textit{overdamped}, which reduces the effective range of multipole
1048 + interactions, causing structural and dynamical changes from the
1049 + correct behavior.  Because overdamping weakens orientational
1050 + preferences between adjacent molecules, it manifests as too-rapid
1051 + orientational decay coupled with faster diffusion and
1052 + over-coordination of the liquid.  Underdamping is less problematic for
1053 + the SP and GSF methods, as their structural and dynamical properties
1054 + still reproduce the Ewald results even in the completely undamped
1055 + ($\alpha = 0$) case.  An optimal range for the electrostatic damping
1056 + parameter appears to be $\alpha= 0.175 \rightarrow 0.225$~\AA$^{-1}$
1057 + for $r_c = 12$~\AA, which similar to the optimal range found for the
1058 + damped shifted force potential for point charges.\cite{Fennell:2006lq}
1059  
1060   \section{CONCLUSION}
1061   In the first paper in this series, we generalized the
# Line 1046 | Line 1070 | Fennel and Gezelter.\cite{Zahn:2002hc,Fennell:2006lq}
1070  
1071   We also developed two natural extensions of the damped shifted-force
1072   (DSF) model originally proposed by Zahn {\it et al.} and extended by
1073 < Fennel and Gezelter.\cite{Zahn:2002hc,Fennell:2006lq} The GSF and TSF
1073 > Fennell and Gezelter.\cite{Zahn:2002hc,Fennell:2006lq} The GSF and TSF
1074   approaches provide smooth truncation of energies, forces, and torques
1075   at the real-space cutoff, and both converge to DSF electrostatics for
1076   point-charge interactions.  The TSF model is based on a high-order
# Line 1056 | Line 1080 | The GSF method produced quantitative agreement with Ew
1080   sphere to derive shifted force and torque expressions, and is a
1081   significantly more gentle approach.
1082  
1083 < The GSF method produced quantitative agreement with Ewald energy,
1084 < force, and torques.  It also performs well in conserving energy in MD
1083 > The GSF method produces quantitative agreement with Ewald energies,
1084 > forces, and torques.  It also performs well in conserving energy in MD
1085   simulations.  The Taylor-shifted (TSF) model provides smooth dynamics,
1086   but these take place on a potential energy surface that is
1087   significantly perturbed from Ewald-based electrostatics.  Because it
# Line 1068 | Line 1092 | useful in past treatments of the corrections to the fl
1092   series of the electrostatic kernel at the cutoff radius. The TSF
1093   method also has the unique property that a large number of derivatives
1094   can be made to vanish at the cutoff radius.  This property has proven
1095 < useful in past treatments of the corrections to the fluctuation
1096 < formula for dielectric constants.\cite{Izvekov:2008wo}
1095 > useful in past treatments of the corrections to the Clausius-Mossotti
1096 > fluctuation formula for dielectric constants.\cite{Izvekov:2008wo}
1097  
1098   Reproduction of both structural and dynamical features in the liquid
1099   systems is remarkably good for both the SP and GSF models.  Pair
# Line 1095 | Line 1119 | the SP meethod would be an excellent choice for Monte
1119   Based on the results of this work, we can conclude that the GSF method
1120   is a suitable and efficient replacement for the Ewald sum for
1121   evaluating electrostatic interactions in modern MD simulations, and
1122 < the SP meethod would be an excellent choice for Monte Carlo
1122 > the SP method would be an excellent choice for Monte Carlo
1123   simulations where smooth forces and energy conservation are not
1124   important.  Both the SP and GSF methods retain excellent fidelity to
1125   the Ewald energies, forces and torques.  Additionally, the energy
1126   drift and fluctuations from the GSF electrostatics are significantly
1127 < better than a multipolar Ewald sum for finite-sized reciprocal spaces.
1127 > better than a multipolar Ewald sum for finite-sized reciprocal spaces,
1128 > and physical properties are reproduced accurately.
1129  
1130   As in all purely pairwise cutoff methods, the SP, GSF and TSF methods
1131   are expected to scale approximately {\it linearly} with system size,

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