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# Line 35 | Line 35 | preprint,
35   %\linenumbers\relax % Commence numbering lines
36   \usepackage{amsmath}
37   \usepackage{times}
38 < \usepackage{mathptm}
38 > \usepackage{mathptmx}
39   \usepackage{tabularx}
40   \usepackage[version=3]{mhchem}  % this is a great package for formatting chemical reactions
41   \usepackage{url}
# 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 multipoles that were developed in the first paper in this series
70 <  against a reference method. The tests were carried out in a variety
71 <  of condensed-phase environments which were designed to test all
72 <  levels of the multipole-multipole interactions.  Comparisons of the
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 sum.  We have
76 <  also investigated the energy conservation properties of the new
77 <  methods in molecular dynamics simulations using all of these
78 <  methods. The SP method shows excellent agreement with
79 <  configurational energy differences, forces, and torques, and would
80 <  be suitable for use in Monte Carlo calculations.  Of the two new
81 <  shifted-force methods, the GSF approach shows the best agreement
82 <  with Ewald-derived energies, forces, and torques and exhibits energy
83 <  conservation properties that make it an excellent choice for
84 <  efficiently computing electrostatic interactions in molecular
88 <  dynamics simulations.
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
88                               % Classification Scheme.
89 < \keywords{Electrostatics, Multipoles, Real-space}
89 > %\keywords{Electrostatics, Multipoles, Real-space}
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, which is why there
96 < have been significant efforts to develop practical, efficient and
97 < convergent methods for handling these interactions. Ewald's method is
98 < perhaps the best known and most accurate method for evaluating
99 < energies, forces, and torques in explicitly-periodic simulation
100 < cells. In this approach, the conditionally convergent electrostatic
101 < energy is converted into two absolutely convergent contributions, one
102 < which is carried out in real space with a cutoff radius, and one in
103 < reciprocal space.\cite{Clarke:1986eu,Woodcock75}
95 > most expensive aspects of molecular simulations. There have been
96 > significant efforts to develop practical, efficient and convergent
97 > methods for handling these interactions. Ewald's method is perhaps the
98 > best known and most accurate method for evaluating energies, forces,
99 > and torques in explicitly-periodic simulation cells. In this approach,
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.\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, the
120 < method may require modification to compute interactions for
115 > Because of the artificial periodicity required for the Ewald sum,
116   interfacial molecular systems such as membranes and liquid-vapor
117 < interfaces.\cite{Parry:1975if,Parry:1976fq,Clarke77,Perram79,Rhee:1989kl}
118 < To simulate interfacial systems, Parry’s extension of the 3D Ewald sum
119 < is appropriate for slab geometries.\cite{Parry:1975if} The inherent
120 < periodicity in the Ewald’s method can also be problematic for
121 < interfacial molecular systems.\cite{Fennell:2006lq} Modified Ewald
122 < methods that were developed to handle two-dimensional (2D)
123 < electrostatic interactions in interfacial systems have not had similar
124 < particle-mesh treatments.\cite{Parry:1975if, Parry:1976fq, Clarke77,
125 <  Perram79,Rhee:1989kl,Spohr:1997sf,Yeh:1999oq}
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 $O(N)$
133   method for calculating electrostatic interactions between point
134 < charges. They argued that the effective Coulomb interaction in
135 < condensed systems is actually short ranged.\cite{Wolf92,Wolf95}.  For
136 < an ordered lattice (e.g. when computing the Madelung constant of an
137 < ionic solid), the material can be considered as a set of ions
138 < interacting with neutral dipolar or quadrupolar ``molecules'' giving
139 < an effective distance dependence for the electrostatic interactions of
140 < $r^{-5}$ (see figure \ref{fig:NaCl}.  For this reason, careful
141 < applications of Wolf's method are able to obtain accurate estimates of
142 < Madelung constants using relatively short cutoff radii.  Recently,
143 < Fukuda used neutralization of the higher order moments for the
144 < calculation of the electrostatic interaction of the point charges
145 < system.\cite{Fukuda:2013sf}
134 > charges. They argued that the effective Coulomb interaction in most
135 > condensed phase systems is effectively short
136 > ranged.\cite{Wolf92,Wolf95} For an ordered lattice (e.g., when
137 > computing the Madelung constant of an ionic solid), the material can
138 > be considered as a set of ions interacting with neutral dipolar or
139 > quadrupolar ``molecules'' giving an effective distance dependence for
140 > the electrostatic interactions of $r^{-5}$ (see figure
141 > \ref{fig:schematic}). If one views the \ce{NaCl} crystal as a simple
142 > cubic (SC) structure with an octupolar \ce{(NaCl)4} basis, the
143 > electrostatic energy per ion converges more rapidly to the Madelung
144 > energy than the dipolar approximation.\cite{Wolf92} To find the
145 > correct Madelung constant, Lacman suggested that the NaCl structure
146 > could be constructed in a way that the finite crystal terminates with
147 > complete \ce{(NaCl)4} molecules.\cite{Lacman65} The central ion sees
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 can provide accurate estimates of
152 > Madelung constants using relatively short cutoff radii.
153  
154 < \begin{figure}[h!]
155 <  \centering
156 <  \includegraphics[width=0.50 \textwidth]{chargesystem.pdf}
157 <  \caption{Top: NaCl crystal showing how spherical truncation can
158 <    breaking effective charge ordering, and how complete \ce{(NaCl)4}
159 <    molecules interact with the central ion.  Bottom: A dipolar
160 <    crystal exhibiting similar behavior and illustrating how the
161 <    effective dipole-octupole interactions can be disrupted by
162 <    spherical truncation.}
163 <  \label{fig:NaCl}
164 < \end{figure}
165 <
166 < The direct truncation of interactions at a cutoff radius creates
167 < truncation defects. Wolf \textit{et al.} further argued that
168 < truncation errors are due to net charge remaining inside the cutoff
169 < sphere.\cite{Wolf:1999dn} To neutralize this charge they proposed
164 < placing an image charge on the surface of the cutoff sphere for every
165 < real charge inside the cutoff.  These charges are present for the
166 < evaluation of both the pair interaction energy and the force, although
167 < the force expression maintained a discontinuity at the cutoff sphere.
168 < In the original Wolf formulation, the total energy for the charge and
169 < image were not equal to the integral of their force expression, and as
170 < a result, the total energy would not be conserved in molecular
171 < dynamics (MD) simulations.\cite{Zahn:2002hc} Zahn \textit{et al.} and
172 < Fennel and Gezelter later proposed shifted force variants of the Wolf
173 < method with commensurate force and energy expressions that do not
174 < exhibit this problem.\cite{Fennell:2006lq}   Related real-space
175 < methods were also proposed by Chen \textit{et
154 > Direct truncation of interactions at a cutoff radius creates numerical
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 > 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 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{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}
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 < Considering the interaction of one central ion in an ionic crystal
176 < with a portion of the crystal at some distance, the effective Columbic
177 < potential is found to be decreasing as $r^{-5}$. If one views the
178 < \ce{NaCl} crystal as simple cubic (SC) structure with an octupolar
179 < \ce{(NaCl)4} basis, the electrostatic energy per ion converges more
180 < rapidly to the Madelung energy than the dipolar
181 < approximation.\cite{Wolf92} To find the correct Madelung constant,
182 < Lacman suggested that the NaCl structure could be constructed in a way
183 < that the finite crystal terminates with complete \ce{(NaCl)4}
184 < molecules.\cite{Lacman65} Any charge in a NaCl crystal is surrounded
185 < by opposite charges. Similarly for each pair of charges, there is an
186 < opposite pair of charge adjacent to it.  The central ion sees what is
187 < effectively a set of octupoles at large distances. These facts suggest
188 < that the Madelung constants are relatively short ranged for perfect
189 < ionic crystals.\cite{Wolf:1999dn}
175 > \begin{figure}
176 >  \centering
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
181 >    cutoffs, motion of individual charges in and out of the cutoff
182 >    sphere can break the effective multipolar ordering.  Bottom:
183 >    dipolar crystals and fluids have a similar effective
184 >    \textit{quadrupolar} ordering (in the smaller grey circles), and
185 >    orientational averaging helps to reduce the effective range of the
186 >    interactions in the fluid.  Placement of reversed image multipoles
187 >    on the surface of the cutoff sphere recovers the effective
188 >    higher-order multipole behavior.}
189 >  \label{fig:schematic}
190 > \end{figure}
191  
192 < One can make a similar argument for crystals of point multipoles. The
193 < Luttinger and Tisza treatment of energy constants for dipolar lattices
194 < utilizes 24 basis vectors that contain dipoles at the eight corners of
195 < a unit cube.  Only three of these basis vectors, $X_1, Y_1,
196 < \mathrm{~and~} Z_1,$ retain net dipole moments, while the rest have
197 < zero net dipole and retain contributions only from higher order
198 < multipoles.  The effective interaction between a dipole at the center
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.\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
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
202   of a crystal and a group of eight dipoles farther away is
203   significantly shorter ranged than the $r^{-3}$ that one would expect
204   for raw dipole-dipole interactions.  Only in crystals which retain a
# Line 208 | Line 208 | multipolar arrangements (see Fig. \ref{fig:NaCl}), cau
208   unstable.
209  
210   In ionic crystals, real-space truncation can break the effective
211 < multipolar arrangements (see Fig. \ref{fig:NaCl}), causing significant
212 < swings in the electrostatic energy as the cutoff radius is increased
213 < (or as individual ions move back and forth across the boundary).  This
214 < is why the image charges were necessary for the Wolf sum to exhibit
215 < rapid convergence.  Similarly, the real-space truncation of point
216 < multipole interactions breaks higher order multipole arrangements, and
217 < image multipoles are required for real-space treatments of
218 < electrostatic energies.
211 > multipolar arrangements (see Fig. \ref{fig:schematic}), causing
212 > significant swings in the electrostatic energy as individual ions move
213 > back and forth across the boundary.  This is why the image charges are
214 > necessary for the Wolf sum to exhibit rapid convergence.  Similarly,
215 > the real-space truncation of point multipole interactions breaks
216 > higher order multipole arrangements, and image multipoles are required
217 > for real-space treatments of electrostatic energies.
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 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
230 + effect of long-range multipolar interactions.  The image multipoles
231 + that are introduced in the TSF, GSF, and SP methods mimic this effect
232 + and reduce the effective range of the multipolar interactions as
233 + interacting molecules traverse each other's cutoff boundaries.
234 +
235   % Because of this reason, although the nature of electrostatic
236   % interaction short ranged, the hard cutoff sphere creates very large
237   % fluctuation in the electrostatic energy for the perfect crystal. In
# Line 227 | 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
240 < 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 used in our research has been discussed in detail
258 < in the first paper of this series.\cite{PaperI} The radial kernel
259 < $1/r$ for the interactions between point charges can be replaced by
260 < the complementary error function $\mathrm{erfc}(\alpha r)/r$ to
261 < accelerate the rate of convergence, where $\alpha$ is a damping
262 < parameter with units of inverse distance.  Altering the value of
263 < $\alpha$ is equivalent to changing the width of Gaussian charge
264 < distributions that replace each point charge -- Gaussian overlap
265 < integrals yield complementary error functions when truncated at a
266 < finite distance.
257 > The damping function has been discussed in detail in the first paper
258 > of this series.\cite{PaperI} The $1/r$ Coulombic kernel for the
259 > interactions between point charges can be replaced by the
260 > complementary error function $\mathrm{erfc}(\alpha r)/r$ to accelerate
261 > convergence, where $\alpha$ is a damping parameter with units of
262 > inverse distance.  Altering the value of $\alpha$ is equivalent to
263 > changing the width of Gaussian charge distributions that replace each
264 > point charge, as Coulomb integrals with Gaussian charge distributions
265 > produce complementary error functions when truncated at a finite
266 > distance.
267  
268 < By using suitable value of damping alpha ($\alpha \sim 0.2$) for a
269 < cutoff radius ($r_{­c}=9 A$), Fennel and Gezelter produced very good
270 < agreement with SPME for the interaction energies, forces and torques
271 < for charge-charge interactions.\cite{Fennell:2006lq}
268 > With moderate damping coefficients, $\alpha \sim 0.2$, the DSF method
269 > produced very good agreement with SPME for interaction energies,
270 > forces and torques for charge-charge
271 > interactions.\cite{Fennell:2006lq}
272  
273   \subsection{Point multipoles in molecular modeling}
274   Coarse-graining approaches which treat entire molecular subsystems as
275   a single rigid body are now widely used. A common feature of many
276   coarse-graining approaches is simplification of the electrostatic
277   interactions between bodies so that fewer site-site interactions are
278 < required to compute configurational energies.  Many coarse-grained
279 < molecular structures would normally consist of equal positive and
266 < negative charges, and rather than use multiple site-site interactions,
267 < the interaction between higher order multipoles can also be used to
268 < evaluate a single molecule-molecule
269 < interaction.\cite{Ren06,Essex10,Essex11}
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 a relatively
283 < rough approximation.  Atomic sites can also be assigned point
284 < multipoles and polarizabilities to increase the accuracy of the
285 < molecular model.  Recently, water has been modeled with point
286 < multipoles up to octupolar
287 < order.\cite{Ichiye10_1,Ichiye10_2,Ichiye10_3} Atom-centered point
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}.  But
291 < using point multipole with the real space truncation without
292 < accounting for multipolar neutrality will create energy conservation
293 < issues in molecular dynamics (MD) simulations.
290 > models.\cite{Ren:2003uq,Ren:2004kx,Ponder:2010vl,Wang:2013fk} However,
291 > truncating point multipoles without smoothing the forces and torques
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 315 | Line 325 | U_{\bf{ab}}(r)=\hat{M}_{\bf a} \hat{M}_{\bf b} \frac{1
325   expressed as the product of two multipole operators and a Coulombic
326   kernel,
327   \begin{equation}
328 < U_{\bf{ab}}(r)=\hat{M}_{\bf a} \hat{M}_{\bf b} \frac{1}{r}  \label{kernel}.
328 > U_{ab}(r)= M_{a} M_{b} \frac{1}{r}  \label{kernel}.
329   \end{equation}
330 < where the multipole operator for site $\bf a$,
331 < \begin{equation}
332 < \hat{M}_{\bf a} = C_{\bf a} - D_{{\bf a}\alpha} \frac{\partial}{\partial r_{\alpha}}
323 < +  Q_{{\bf a}\alpha\beta}
324 < \frac{\partial^2}{\partial r_{\alpha} \partial r_{\beta}} + \dots
325 < \end{equation}
326 < is expressed in terms of the point charge, $C_{\bf a}$, dipole,
327 < $D_{{\bf a}\alpha}$, and quadrupole, $Q_{{\bf a}\alpha\beta}$, for
328 < object $\bf a$.  Note that in this work, we use the primitive
329 < quadrupole tensor, $Q_{a\alpha,\beta}=\frac{1}{2}\sum_{k\;in\;a}q_k
330 < r_{k\alpha}r_{k\beta}$ to represent point quadrupoles on a site.
330 > where the multipole operator for site $a$, $M_{a}$, is
331 > expressed in terms of the point charge, $C_{a}$, dipole, ${\bf D}_{a}$, and quadrupole, $\mathsf{Q}_{a}$, for object
332 > $a$, etc.
333  
334 < Interactions between multipoles can be expressed as higher derivatives
335 < of the bare Coulomb potential, so one way of ensuring that the forces
336 < and torques vanish at the cutoff distance is to include a larger
337 < number of terms in the truncated Taylor expansion, e.g.,
338 < %
339 < \begin{equation}
340 < f_n^{\text{shift}}(r)=\sum_{m=0}^{n+1} \frac {(r-r_c)^m}{m!} f^{(m)} \Big \lvert  _{r_c}  .
341 < \end{equation}
342 < %
343 < The combination of $f(r)$ with the shifted function is denoted $f_n(r)=f(r)-f_n^{\text{shift}}(r)$.
344 < Thus, for $f(r)=1/r$, we find
345 < %
346 < \begin{equation}
347 < f_1(r)=\frac{1}{r}- \frac{1}{r_c} + (r - r_c) \frac{1}{r_c^2} - \frac{(r-r_c)^2}{r_c^3} .
348 < \end{equation}
349 < This function is an approximate electrostatic potential that has
350 < vanishing second derivatives at the cutoff radius, making it suitable
351 < for shifting the forces and torques of charge-dipole interactions.
334 > % Interactions between multipoles can be expressed as higher derivatives
335 > % of the bare Coulomb potential, so one way of ensuring that the forces
336 > % and torques vanish at the cutoff distance is to include a larger
337 > % number of terms in the truncated Taylor expansion, e.g.,
338 > % %
339 > % \begin{equation}
340 > % f_n^{\text{shift}}(r)=\sum_{m=0}^{n+1} \frac {(r-r_c)^m}{m!} f^{(m)} \Big \lvert  _{r_c}  .
341 > % \end{equation}
342 > % %
343 > % The combination of $f(r)$ with the shifted function is denoted $f_n(r)=f(r)-f_n^{\text{shift}}(r)$.
344 > % Thus, for $f(r)=1/r$, we find
345 > % %
346 > % \begin{equation}
347 > % f_1(r)=\frac{1}{r}- \frac{1}{r_c} + (r - r_c) \frac{1}{r_c^2} - \frac{(r-r_c)^2}{r_c^3} .
348 > % \end{equation}
349 > % This function is an approximate electrostatic potential that has
350 > % vanishing second derivatives at the cutoff radius, making it suitable
351 > % for shifting the forces and torques of charge-dipole interactions.
352  
353 < In general, the TSF potential for any multipole-multipole interaction
354 < can be written
353 > The TSF potential for any multipole-multipole interaction can be
354 > written
355   \begin{equation}
356   U^{\text{TSF}}= (\text{prefactor}) (\text{derivatives}) f_n(r)
357   \label{generic}
358   \end{equation}
359 < with $n=0$ for charge-charge, $n=1$ for charge-dipole, $n=2$ for
360 < charge-quadrupole and dipole-dipole, $n=3$ for dipole-quadrupole, and
361 < $n=4$ for quadrupole-quadrupole.  To ensure smooth convergence of the
362 < energy, force, and torques, the required number of terms from Taylor
363 < series expansion in $f_n(r)$ must be performed for different
364 < multipole-multipole interactions.
365 <
364 < To carry out the same procedure for a damped electrostatic kernel, we
365 < replace $1/r$ in the Coulomb potential with $\text{erfc}(\alpha r)/r$.
366 < Many of the derivatives of the damped kernel are well known from
367 < Smith's early work on multipoles for the Ewald
368 < summation.\cite{Smith82,Smith98}
359 > where $f_n(r)$ is a shifted kernel that is appropriate for the order
360 > of the interaction (see Ref. \onlinecite{PaperI}), with $n=0$ for
361 > charge-charge, $n=1$ for charge-dipole, $n=2$ for charge-quadrupole
362 > and dipole-dipole, $n=3$ for dipole-quadrupole, and $n=4$ for
363 > quadrupole-quadrupole.  To ensure smooth convergence of the energy,
364 > force, and torques, a Taylor expansion with $n$ terms must be
365 > performed at cutoff radius ($r_c$) to obtain $f_n(r)$.
366  
367 < Note that increasing the value of $n$ will add additional terms to the
368 < electrostatic potential, e.g., $f_2(r)$ includes orders up to
369 < $(r-r_c)^3/r_c^4$, and so on.  Successive derivatives of the $f_n(r)$
370 < functions are denoted $g_2(r) = f^\prime_2(r)$, $h_2(r) =
371 < f^{\prime\prime}_2(r)$, etc.  These higher derivatives are required
375 < for computing multipole energies, forces, and torques, and smooth
376 < cutoffs of these quantities can be guaranteed as long as the number of
377 < terms in the Taylor series exceeds the derivative order required.
367 > % To carry out the same procedure for a damped electrostatic kernel, we
368 > % replace $1/r$ in the Coulomb potential with $\text{erfc}(\alpha r)/r$.
369 > % Many of the derivatives of the damped kernel are well known from
370 > % Smith's early work on multipoles for the Ewald
371 > % summation.\cite{Smith82,Smith98}
372  
373 + % Note that increasing the value of $n$ will add additional terms to the
374 + % electrostatic potential, e.g., $f_2(r)$ includes orders up to
375 + % $(r-r_c)^3/r_c^4$, and so on.  Successive derivatives of the $f_n(r)$
376 + % functions are denoted $g_2(r) = f^\prime_2(r)$, $h_2(r) =
377 + % f^{\prime\prime}_2(r)$, etc.  These higher derivatives are required
378 + % for computing multipole energies, forces, and torques, and smooth
379 + % cutoffs of these quantities can be guaranteed as long as the number of
380 + % terms in the Taylor series exceeds the derivative order required.
381 +
382   For multipole-multipole interactions, following this procedure results
383 < in separate radial functions for each distinct orientational
384 < contribution to the potential, and ensures that the forces and torques
385 < from {\it each} of these contributions will vanish at the cutoff
386 < radius.  For example, the direct dipole dot product ($\mathbf{D}_{i}
387 < \cdot \mathbf{D}_{j}$) is treated differently than the dipole-distance
383 > in separate radial functions for each of the distinct orientational
384 > contributions to the potential, and ensures that the forces and
385 > torques from each of these contributions will vanish at the cutoff
386 > radius.  For example, the direct dipole dot product
387 > ($\mathbf{D}_{a}
388 > \cdot \mathbf{D}_{b}$) is treated differently than the dipole-distance
389   dot products:
390   \begin{equation}
391 < U_{D_{i}D_{j}}(r)= -\frac{1}{4\pi \epsilon_0} \left( \mathbf{D}_{i} \cdot
392 < \mathbf{D}_{j} \right) \frac{g_2(r)}{r}
393 < -\frac{1}{4\pi \epsilon_0}
394 < \left( \mathbf{D}_{i} \cdot \hat{r} \right)
395 < \left( \mathbf{D}_{j} \cdot \hat{r} \right) \left(h_2(r) -
392 <  \frac{g_2(r)}{r} \right)
391 > U_{D_{a}D_{b}}(r)= -\frac{1}{4\pi \epsilon_0} \left[ \left(
392 >  \mathbf{D}_{a} \cdot
393 > \mathbf{D}_{b} \right) v_{21}(r) +
394 > \left( \mathbf{D}_{a} \cdot \hat{\mathbf{r}} \right)
395 > \left( \mathbf{D}_{b} \cdot \hat{\mathbf{r}} \right) v_{22}(r) \right]
396   \end{equation}
397  
398 < The electrostatic forces and torques acting on the central multipole
399 < site due to another site within cutoff sphere are derived from
398 > For the Taylor shifted (TSF) method with the undamped kernel,
399 > $v_{21}(r) = -\frac{1}{r^3} + \frac{3 r}{r_c^4} - \frac{8}{r_c^3} +
400 > \frac{6}{r r_c^2}$ and $v_{22}(r) = \frac{3}{r^3} + \frac{3 r}{r_c^4}
401 > - \frac{6}{r r_c^2}$.  In these functions, one can easily see the
402 > connection to unmodified electrostatics as well as the smooth
403 > transition to zero in both these functions as $r\rightarrow r_c$.  The
404 > electrostatic forces and torques acting on the central multipole due
405 > to another site within the cutoff sphere are derived from
406   Eq.~\ref{generic}, accounting for the appropriate number of
407   derivatives. Complete energy, force, and torque expressions are
408   presented in the first paper in this series (Reference
# Line 401 | Line 410 | A second (and significantly simpler) method involves s
410  
411   \subsection{Gradient-shifted force (GSF)}
412  
413 < A second (and significantly simpler) method involves shifting the
414 < gradient of the raw coulomb potential for each particular multipole
413 > A second (and conceptually simpler) method involves shifting the
414 > gradient of the raw Coulomb potential for each particular multipole
415   order.  For example, the raw dipole-dipole potential energy may be
416   shifted smoothly by finding the gradient for two interacting dipoles
417   which have been projected onto the surface of the cutoff sphere
418   without changing their relative orientation,
419 < \begin{displaymath}
420 < U_{D_{i}D_{j}}(r_{ij})  = U_{D_{i}D_{j}}(r_{ij}) - U_{D_{i}D_{j}}(r_c)
421 <   - (r_{ij}-r_c) \hat{r}_{ij} \cdot
422 <  \vec{\nabla} V_{D_{i}D_{j}}(r) \Big \lvert _{r_c}
423 < \end{displaymath}
424 < Here the lab-frame orientations of the two dipoles, $\mathbf{D}_{i}$
425 < and $\mathbf{D}_{j}$, are retained at the cutoff distance (although
426 < the signs are reversed for the dipole that has been projected onto the
427 < cutoff sphere).  In many ways, this simpler approach is closer in
428 < spirit to the original shifted force method, in that it projects a
429 < neutralizing multipole (and the resulting forces from this multipole)
430 < onto a cutoff sphere. The resulting functional forms for the
431 < potentials, forces, and torques turn out to be quite similar in form
432 < to the Taylor-shifted approach, although the radial contributions are
433 < significantly less perturbed by the Gradient-shifted approach than
434 < they are in the Taylor-shifted method.
419 > \begin{equation}
420 > U_{D_{a}D_{b}}(r)  = U_{D_{a}D_{b}}(r) -
421 > U_{D_{a}D_{b}}(r_c)
422 >   - (r_{ab}-r_c) ~~~\hat{\mathbf{r}}_{ab} \cdot
423 >  \nabla U_{D_{a}D_{b}}(r_c).
424 > \end{equation}
425 > Here the lab-frame orientations of the two dipoles, $\mathbf{D}_{a}$ and $\mathbf{D}_{b}$, are retained at the cutoff distance
426 > (although the signs are reversed for the dipole that has been
427 > projected onto the cutoff sphere).  In many ways, this simpler
428 > approach is closer in spirit to the original shifted force method, in
429 > that it projects a neutralizing multipole (and the resulting forces
430 > from this multipole) onto a cutoff sphere. The resulting functional
431 > forms for the potentials, forces, and torques turn out to be quite
432 > similar in form to the Taylor-shifted approach, although the radial
433 > contributions are significantly less perturbed by the gradient-shifted
434 > approach than they are in the Taylor-shifted method.
435  
436 + For the gradient shifted (GSF) method with the undamped kernel,
437 + $v_{21}(r) = -\frac{1}{r^3} + \frac{3 r}{r_c^4} + \frac{4}{r_c^3}$ and
438 + $v_{22}(r) = \frac{3}{r^3} + \frac{9 r}{r_c^4} - \frac{12}{r_c^3}$.
439 + Again, these functions go smoothly to zero as $r\rightarrow r_c$, and
440 + because the Taylor expansion retains only one term, they are
441 + significantly less perturbed than the TSF functions.
442 +
443   In general, the gradient shifted potential between a central multipole
444   and any multipolar site inside the cutoff radius is given by,
445   \begin{equation}
446 < U^{\text{GSF}} = \sum \left[ U(\mathbf{r}, \hat{\mathbf{a}}, \hat{\mathbf{b}}) -
447 < U(\mathbf{r}_c,\hat{\mathbf{a}}, \hat{\mathbf{b}}) - (r-r_c) \hat{r}
448 < \cdot \nabla U(\mathbf{r},\hat{\mathbf{a}}, \hat{\mathbf{b}}) \Big \lvert  _{r_c} \right]
446 > U^{\text{GSF}} = \sum \left[ U(\mathbf{r}, \mathsf{A}, \mathsf{B}) -
447 > U(r_c \hat{\mathbf{r}},\mathsf{A}, \mathsf{B}) - (r-r_c)
448 > \hat{\mathbf{r}} \cdot \nabla U(r_c \hat{\mathbf{r}},\mathsf{A}, \mathsf{B}) \right]
449   \label{generic2}
450   \end{equation}
451   where the sum describes a separate force-shifting that is applied to
452 < each orientational contribution to the energy.
452 > each orientational contribution to the energy.  In this expression,
453 > $\hat{\mathbf{r}}$ is the unit vector connecting the two multipoles
454 > ($a$ and $b$) in space, and $\mathsf{A}$ and $\mathsf{B}$
455 > represent the orientations the multipoles.
456  
457   The third term converges more rapidly than the first two terms as a
458   function of radius, hence the contribution of the third term is very
459   small for large cutoff radii.  The force and torque derived from
460 < equation \ref{generic2} are consistent with the energy expression and
460 > Eq. \ref{generic2} are consistent with the energy expression and
461   approach zero as $r \rightarrow r_c$.  Both the GSF and TSF methods
462   can be considered generalizations of the original DSF method for
463   higher order multipole interactions. GSF and TSF are also identical up
# Line 446 | Line 465 | GSF potential are presented in the first paper in this
465   the energy, force and torque for higher order multipole-multipole
466   interactions. Complete energy, force, and torque expressions for the
467   GSF potential are presented in the first paper in this series
468 < (Reference~\onlinecite{PaperI})
468 > (Reference~\onlinecite{PaperI}).
469  
470  
471   \subsection{Shifted potential (SP) }
# Line 459 | Line 478 | U_{SP}(\vec r)=\sum U(\vec r) - U(\vec r_c)
478   interactions with the central multipole and the image. This
479   effectively shifts the total potential to zero at the cutoff radius,
480   \begin{equation}
481 < U_{SP}(\vec r)=\sum U(\vec r) - U(\vec r_c)
481 > U^{\text{SP}} = \sum \left[ U(\mathbf{r}, \mathsf{A}, \mathsf{B}) -
482 > U(r_c \hat{\mathbf{r}},\mathsf{A}, \mathsf{B}) \right]
483   \label{eq:SP}
484   \end{equation}          
485   where the sum describes separate potential shifting that is done for
# Line 471 | Line 491 | The potential energy between a central multipole and o
491   multipoles that reorient after leaving the cutoff sphere can re-enter
492   the cutoff sphere without perturbing the total energy.
493  
494 < The potential energy between a central multipole and other multipolar
495 < sites then goes smoothly to zero as $r \rightarrow r_c$. However, the
496 < force and torque obtained from the shifted potential (SP) are
497 < discontinuous at $r_c$. Therefore, MD simulations will still
498 < experience energy drift while operating under the SP potential, but it
499 < may be suitable for Monte Carlo approaches where the configurational
500 < energy differences are the primary quantity of interest.
494 > For the shifted potential (SP) method with the undamped kernel,
495 > $v_{21}(r) = -\frac{1}{r^3} + \frac{1}{r_c^3}$ and $v_{22}(r) =
496 > \frac{3}{r^3} - \frac{3}{r_c^3}$.  The potential energy between a
497 > central multipole and other multipolar sites goes smoothly to zero as
498 > $r \rightarrow r_c$.  However, the force and torque obtained from the
499 > shifted potential (SP) are discontinuous at $r_c$.  MD simulations
500 > will still experience energy drift while operating under the SP
501 > potential, but it may be suitable for Monte Carlo approaches where the
502 > configurational energy differences are the primary quantity of
503 > interest.
504  
505 < \subsection{The Self term}
505 > \subsection{The Self Term}
506   In the TSF, GSF, and SP methods, a self-interaction is retained for
507   the central multipole interacting with its own image on the surface of
508   the cutoff sphere.  This self interaction is nearly identical with the
# Line 501 | Line 524 | in the test-cases are given in table~\ref{tab:pars}.
524   used the multipolar Ewald sum as a reference method for comparing
525   energies, forces, and torques for molecular models that mimic
526   disordered and ordered condensed-phase systems.  The parameters used
527 < in the test-cases are given in table~\ref{tab:pars}.
527 > in the test cases are given in table~\ref{tab:pars}.
528  
529   \begin{table}
530   \label{tab:pars}
# Line 519 | Line 542 | in the test-cases are given in table~\ref{tab:pars}.
542   & (\AA) & (kcal/mol) & (e) & (debye) & \multicolumn{3}{c|}{(debye \AA)} & (amu) & \multicolumn{3}{c}{(amu
543   \AA\textsuperscript{2})} \\ \hline
544      Soft Dipolar fluid & 3.051 & 0.152 &  & 2.35 & & & & 18.0153 & 1.77&0.6145& 1.155 \\
545 <    Soft Dipolar solid & 2.837 & 1.0   &  & 2.35 & & & & 10,000  & 17.6 &17.6 & 0 \\
545 >    Soft Dipolar solid & 2.837 & 1.0   &  & 2.35 & & & & $10^4$  & 17.6 &17.6 & 0 \\
546   Soft Quadrupolar fluid & 3.051 & 0.152 &  &  & -1&-1&-2.5 & 18.0153 & 1.77&0.6145&1.155  \\
547 < Soft Quadrupolar solid & 2.837 & 1.0   &  &  & -1&-1&-2.5 & 10,000  & 17.6&17.6&0 \\
547 > Soft Quadrupolar solid & 2.837 & 1.0   &  &  & -1&-1&-2.5 & $10^4$  & 17.6&17.6&0 \\
548        SSDQ water  & 3.051 & 0.152 &  & 2.35 & -1.35&0&-0.68 & 18.0153 & 1.77&0.6145&1.155 \\
549                \ce{Na+} & 2.579 & 0.118 & +1& & & & & 22.99 & & &\\
550                \ce{Cl-} & 4.445 & 0.1   & -1& & & & & 35.4527& & & \\ \hline
# Line 546 | Line 569 | and have been compared with the values obtaine from th
569   electrostatic energy, as well as the electrostatic contributions to
570   the force and torque on each molecule.  These quantities have been
571   computed using the SP, TSF, and GSF methods, as well as a hard cutoff,
572 < and have been compared with the values obtaine from the multipolar
573 < Ewald sum.  In Mote Carlo (MC) simulations, the energy differences
572 > and have been compared with the values obtained from the multipolar
573 > Ewald sum.  In Monte Carlo (MC) simulations, the energy differences
574   between two configurations is the primary quantity that governs how
575 < the simulation proceeds. These differences are the most imporant
575 > the simulation proceeds. These differences are the most important
576   indicators of the reliability of a method even if the absolute
577   energies are not exact.  For each of the multipolar systems listed
578   above, we have compared the change in electrostatic potential energy
# Line 561 | Line 584 | program, OpenMD,\cite{openmd} which was used for all c
584   \subsection{Implementation}
585   The real-space methods developed in the first paper in this series
586   have been implemented in our group's open source molecular simulation
587 < program, OpenMD,\cite{openmd} which was used for all calculations in
587 > program, OpenMD,\cite{Meineke05,openmd} which was used for all calculations in
588   this work.  The complementary error function can be a relatively slow
589   function on some processors, so all of the radial functions are
590   precomputed on a fine grid and are spline-interpolated to provide
# Line 594 | Line 617 | To sample independent configurations of multipolar cry
617   recomputed at each time step.
618  
619   \subsection{Model systems}
620 < To sample independent configurations of multipolar crystals, a body
621 < centered cubic (bcc) crystal which is a minimum energy structure for
622 < point dipoles was generated using 3,456 molecules.  The multipoles
623 < were translationally locked in their respective crystal sites for
624 < equilibration at a relatively low temperature (50K), so that dipoles
625 < or quadrupoles could freely explore all accessible orientations.  The
626 < translational constraints were removed, and the crystals were
627 < simulated for 10 ps in the microcanonical (NVE) ensemble with an
628 < average temperature of 50 K.  Configurations were sampled at equal
629 < time intervals for the comparison of the configurational energy
630 < differences.  The crystals were not simulated close to the melting
631 < points in order to avoid translational deformation away of the ideal
632 < lattice geometry.
620 > To sample independent configurations of the multipolar crystals, body
621 > centered cubic (bcc) crystals, which exhibit the minimum energy
622 > structures for point dipoles, were generated using 3,456 molecules.
623 > The multipoles were translationally locked in their respective crystal
624 > sites for equilibration at a relatively low temperature (50K) so that
625 > dipoles or quadrupoles could freely explore all accessible
626 > orientations.  The translational constraints were then removed, the
627 > systems were re-equilibrated, and the crystals were simulated for an
628 > additional 10 ps in the microcanonical (NVE) ensemble with an average
629 > temperature of 50 K.  The balance between moments of inertia and
630 > particle mass were chosen to allow orientational sampling without
631 > significant translational motion.  Configurations were sampled at
632 > equal time intervals in order to compare configurational energy
633 > differences.  The crystals were simulated far from the melting point
634 > in order to avoid translational deformation away of the ideal lattice
635 > geometry.
636  
637 < For dipolar, quadrupolar, and mixed-multipole liquid simulations, each
638 < system was created with 2048 molecules oriented randomly.  These were
639 <
640 < system with 2,048 molecules simulated for 1ns in NVE ensemble at 300 K
641 < temperature after equilibration.  We collected 250 different
642 < configurations in equal interval of time. For the ions mixed liquid
643 < system, we converted 48 different molecules into 24 \ce{Na+} and 24
644 < \ce{Cl-} ions and equilibrated. After equilibration, the system was run
645 < at the same environment for 1ns and 250 configurations were
646 < collected. While comparing energies, forces, and torques with Ewald
647 < method, Lennard-Jones potentials were turned off and purely
648 < electrostatic interaction had been compared.
637 > For dipolar, quadrupolar, and mixed-multipole \textit{liquid}
638 > simulations, each system was created with 2,048 randomly-oriented
639 > molecules.  These were equilibrated at a temperature of 300K for 1 ns.
640 > Each system was then simulated for 1 ns in the microcanonical (NVE)
641 > ensemble.  We collected 250 different configurations at equal time
642 > intervals. For the liquid system that included ionic species, we
643 > converted 48 randomly-distributed molecules into 24 \ce{Na+} and 24
644 > \ce{Cl-} ions and re-equilibrated. After equilibration, the system was
645 > run under the same conditions for 1 ns. A total of 250 configurations
646 > were collected. In the following comparisons of energies, forces, and
647 > torques, the Lennard-Jones potentials were turned off and only the
648 > purely electrostatic quantities were compared with the same values
649 > obtained via the Ewald sum.
650  
651   \subsection{Accuracy of Energy Differences, Forces and Torques}
652   The pairwise summation techniques (outlined above) were evaluated for
# Line 633 | Line 660 | we used least square regressions analysiss for the six
660   should be identical for all methods.
661  
662   Since none of the real-space methods provide exact energy differences,
663 < we used least square regressions analysiss for the six different
663 > we used least square regressions analysis for the six different
664   molecular systems to compare $\Delta E$ from Hard, SP, GSF, and TSF
665   with the multipolar Ewald reference method.  Unitary results for both
666   the correlation (slope) and correlation coefficient for these
# Line 644 | Line 671 | also been compared by using least squares regression a
671   configurations and 250 configurations were recorded for comparison.
672   Each system provided 31,125 energy differences for a total of 186,750
673   data points.  Similarly, the magnitudes of the forces and torques have
674 < also been compared by using least squares regression analyses. In the
674 > also been compared using least squares regression analysis. In the
675   forces and torques comparison, the magnitudes of the forces acting in
676   each molecule for each configuration were evaluated. For example, our
677   dipolar liquid simulation contains 2048 molecules and there are 250
# Line 764 | Line 791 | model must allow for long simulation times with minima
791  
792   \begin{figure}
793    \centering
794 <  \includegraphics[width=0.6\linewidth]{energyPlot_slopeCorrelation_combined-crop.pdf}
794 >  \includegraphics[width=0.85\linewidth]{energyPlot_slopeCorrelation_combined.eps}
795    \caption{Statistical analysis of the quality of configurational
796      energy differences for the real-space electrostatic methods
797      compared with the reference Ewald sum.  Results with a value equal
# Line 829 | Line 856 | perturbations are minimal, particularly for moderate d
856   molecules inside each other's cutoff spheres in order to correct the
857   energy conservation issues, and this perturbation is evident in the
858   statistics accumulated for the molecular forces.  The GSF
859 < perturbations are minimal, particularly for moderate damping and and
859 > perturbations are minimal, particularly for moderate damping and
860   commonly-used cutoff values ($r_c = 12$\AA).  The TSF method shows
861   reasonable agreement in the correlation coefficient but again the
862   systematic error in the forces is concerning if replication of Ewald
# Line 837 | Line 864 | forces is desired.
864  
865   \begin{figure}
866    \centering
867 <  \includegraphics[width=0.6\linewidth]{forcePlot_slopeCorrelation_combined-crop.pdf}
867 >  \includegraphics[width=0.6\linewidth]{forcePlot_slopeCorrelation_combined.eps}
868    \caption{Statistical analysis of the quality of the force vector
869      magnitudes for the real-space electrostatic methods compared with
870      the reference Ewald sum. Results with a value equal to 1 (dashed
# Line 851 | Line 878 | forces is desired.
878  
879   \begin{figure}
880    \centering
881 <  \includegraphics[width=0.6\linewidth]{torquePlot_slopeCorrelation_combined-crop.pdf}
881 >  \includegraphics[width=0.6\linewidth]{torquePlot_slopeCorrelation_combined.eps}
882    \caption{Statistical analysis of the quality of the torque vector
883      magnitudes for the real-space electrostatic methods compared with
884      the reference Ewald sum. Results with a value equal to 1 (dashed
# Line 886 | Line 913 | directionality is shown in terms of circular variance
913   these quantities. Force and torque vectors for all six systems were
914   analyzed using Fisher statistics, and the quality of the vector
915   directionality is shown in terms of circular variance
916 < ($\mathrm{Var}(\theta$) in figure
916 > ($\mathrm{Var}(\theta)$) in figure
917   \ref{fig:slopeCorr_circularVariance}. The force and torque vectors
918   from the new real-space methods exhibit nearly-ideal Fisher probability
919   distributions (Eq.~\ref{eq:pdf}). Both the hard and SP cutoff methods
# Line 909 | Line 936 | systematically improved by varying $\alpha$ and $r_c$.
936  
937   \begin{figure}
938    \centering
939 <  \includegraphics[width=0.6 \linewidth]{Variance_forceNtorque_modified-crop.pdf}
939 >  \includegraphics[width=0.65\linewidth]{Variance_forceNtorque_modified.eps}
940    \caption{The circular variance of the direction of the force and
941      torque vectors obtained from the real-space methods around the
942      reference Ewald vectors. A variance equal to 0 (dashed line)
# Line 929 | Line 956 | temperature of 300K.  After equilibration, this liquid
956   in this series and provides the most comprehensive test of the new
957   methods.  A liquid-phase system was created with 2000 water molecules
958   and 48 dissolved ions at a density of 0.98 g cm$^{-3}$ and a
959 < temperature of 300K.  After equilibration, this liquid-phase system
960 < was run for 1 ns under the Ewald, Hard, SP, GSF, and TSF methods with
961 < a cutoff radius of 12\AA.  The value of the damping coefficient was
962 < also varied from the undamped case ($\alpha = 0$) to a heavily damped
963 < case ($\alpha = 0.3$ \AA$^{-1}$) for all of the real space methods.  A
964 < sample was also run using the multipolar Ewald sum with the same
965 < real-space cutoff.
959 > temperature of 300K.  After equilibration in the canonical (NVT)
960 > ensemble using a Nos\'e-Hoover thermostat, this liquid-phase system
961 > was run for 1 ns in the microcanonical (NVE) ensemble under the Ewald,
962 > Hard, SP, GSF, and TSF methods with a cutoff radius of 12\AA.  The
963 > value of the damping coefficient was also varied from the undamped
964 > case ($\alpha = 0$) to a heavily damped case ($\alpha = 0.3$
965 > \AA$^{-1}$) for all of the real space methods.  A sample was also run
966 > using the multipolar Ewald sum with the same real-space cutoff.
967  
968   In figure~\ref{fig:energyDrift} we show the both the linear drift in
969   energy over time, $\delta E_1$, and the standard deviation of energy
970   fluctuations around this drift $\delta E_0$.  Both of the
971   shifted-force methods (GSF and TSF) provide excellent energy
972 < conservation (drift less than $10^{-6}$ kcal / mol / ns / particle),
972 > conservation (drift less than $10^{-5}$ kcal / mol / ns / particle),
973   while the hard cutoff is essentially unusable for molecular dynamics.
974   SP provides some benefit over the hard cutoff because the energetic
975   jumps that happen as particles leave and enter the cutoff sphere are
# Line 956 | Line 984 | $k$-space cutoff values.
984  
985   \begin{figure}
986    \centering
987 <  \includegraphics[width=\textwidth]{newDrift.pdf}
987 >  \includegraphics[width=\textwidth]{newDrift_12.eps}
988   \label{fig:energyDrift}        
989   \caption{Analysis of the energy conservation of the real-space
990 <  electrostatic methods. $\delta \mathrm{E}_1$ is the linear drift in
991 <  energy over time and $\delta \mathrm{E}_0$ is the standard deviation
992 <  of energy fluctuations around this drift.  All simulations were of a
993 <  2000-molecule simulation of SSDQ water with 48 ionic charges at 300
994 <  K starting from the same initial configuration. All runs utilized
995 <  the same real-space cutoff, $r_c = 12$\AA.}
990 >  methods. $\delta \mathrm{E}_1$ is the linear drift in energy over
991 >  time (in kcal / mol / particle / ns) and $\delta \mathrm{E}_0$ is
992 >  the standard deviation of energy fluctuations around this drift (in
993 >  kcal / mol / particle).  Points that appear below the dashed grey
994 >  (Ewald) lines exhibit better energy conservation than commonly-used
995 >  parameters for Ewald-based electrostatics.  All simulations were of
996 >  a 2000-molecule simulation of SSDQ water with 48 ionic charges at
997 >  300 K starting from the same initial configuration. All runs
998 >  utilized the same real-space cutoff, $r_c = 12$\AA.}
999   \end{figure}
1000 +
1001 + \subsection{Reproduction of Structural \& Dynamical Features\label{sec:structure}}
1002 + The most important test of the modified interaction potentials is the
1003 + fidelity with which they can reproduce structural features and
1004 + dynamical properties in a liquid.  One commonly-utilized measure of
1005 + structural ordering is the pair distribution function, $g(r)$, which
1006 + measures local density deviations in relation to the bulk density.  In
1007 + the electrostatic approaches studied here, the short-range repulsion
1008 + from the Lennard-Jones potential is identical for the various
1009 + electrostatic methods, and since short range repulsion determines much
1010 + of the local liquid ordering, one would not expect to see many
1011 + differences in $g(r)$.  Indeed, the pair distributions are essentially
1012 + identical for all of the electrostatic methods studied (for each of
1013 + the different systems under investigation).  An example of this
1014 + agreement for the SSDQ water/ion system is shown in
1015 + Fig. \ref{fig:gofr}.
1016 +
1017 + \begin{figure}
1018 +  \centering
1019 +  \includegraphics[width=\textwidth]{gofr_ssdqc.eps}
1020 + \label{fig:gofr}        
1021 + \caption{The pair distribution functions, $g(r)$, for the SSDQ
1022 +  water/ion system obtained using the different real-space methods are
1023 +  essentially identical with the result from the Ewald
1024 +  treatment.}
1025 + \end{figure}
1026 +
1027 + There is a very slight overstructuring of the first solvation shell
1028 + when using when using TSF at lower values of the damping coefficient
1029 + ($\alpha \le 0.1$) or when using undamped GSF.  With moderate damping,
1030 + GSF and SP produce pair distributions that are identical (within
1031 + numerical noise) to their Ewald counterparts.
1032 +
1033 + A structural property that is a more demanding test of modified
1034 + electrostatics is the mean value of the electrostatic energy $\langle
1035 + U_\mathrm{elect} \rangle / N$ which is obtained by sampling the
1036 + liquid-state configurations experienced by a liquid evolving entirely
1037 + under the influence of each of the methods.  In table \ref{tab:Props}
1038 + we demonstrate how $\langle U_\mathrm{elect} \rangle / N$ varies with
1039 + the damping parameter, $\alpha$, for each of the methods.
1040 +
1041 + As in the crystals studied in the first paper, damping is important
1042 + for converging the mean electrostatic energy values, particularly for
1043 + the two shifted force methods (GSF and TSF).  A value of $\alpha
1044 + \approx 0.2$ \AA$^{-1}$ is sufficient to converge the SP and GSF
1045 + energies with a cutoff of 12 \AA, while shorter cutoffs require more
1046 + dramatic damping ($\alpha \approx 0.3$ \AA$^{-1}$ for $r_c = 9$ \AA).
1047 + Overdamping the real-space electrostatic methods occurs with $\alpha >
1048 + 0.4$, causing the estimate of the energy to drop below the Ewald
1049 + results.
1050 +
1051 + These ``optimal'' values of the damping coefficient are slightly
1052 + larger than what were observed for DSF electrostatics for purely
1053 + point-charge systems, although a value of $\alpha=0.18$ \AA$^{-1}$ for
1054 + $r_c = 12$\AA appears to be an excellent compromise for mixed charge
1055 + multipole systems.
1056  
1057 + To test the fidelity of the electrostatic methods at reproducing
1058 + dynamics in a multipolar liquid, it is also useful to look at
1059 + transport properties, particularly the diffusion constant,
1060 + \begin{equation}
1061 + D = \lim_{t \rightarrow \infty} \frac{1}{6 t} \langle \left|
1062 +  \mathbf{r}(t) -\mathbf{r}(0) \right|^2 \rangle
1063 + \label{eq:diff}
1064 + \end{equation}
1065 + which measures long-time behavior and is sensitive to the forces on
1066 + the multipoles.  For the soft dipolar fluid and the SSDQ liquid
1067 + systems, the self-diffusion constants (D) were calculated from linear
1068 + fits to the long-time portion of the mean square displacement,
1069 + $\langle r^{2}(t) \rangle$.\cite{Allen87}
1070  
1071 + In addition to translational diffusion, orientational relaxation times
1072 + were calculated for comparisons with the Ewald simulations and with
1073 + experiments. These values were determined from the same 1~ns
1074 + microcanonical trajectories used for translational diffusion by
1075 + calculating the orientational time correlation function,
1076 + \begin{equation}
1077 + C_l^\gamma(t) = \left\langle P_l\left[\hat{\mathbf{A}}_\gamma(t)
1078 +                \cdot\hat{\mathbf{A}}_\gamma(0)\right]\right\rangle,
1079 + \label{eq:OrientCorr}
1080 + \end{equation}
1081 + where $P_l$ is the Legendre polynomial of order $l$ and
1082 + $\hat{\mathbf{A}}_\gamma$ is the space-frame unit vector for body axis
1083 + $\gamma$ on a molecule..  Th body-fixed reference frame used for our
1084 + models has the $z$-axis running along the dipoles, and for the SSDQ
1085 + water model, the $y$-axis connects the two implied hydrogen atom
1086 + positions.  From the orientation autocorrelation functions, we can
1087 + obtain time constants for rotational relaxation either by fitting an
1088 + exponential function or by integrating the entire correlation
1089 + function.  In a good water model, these decay times would be
1090 + comparable to water orientational relaxation times from nuclear
1091 + magnetic resonance (NMR). The relaxation constant obtained from
1092 + $C_2^y(t)$ is normally of experimental interest because it describes
1093 + the relaxation of the principle axis connecting the hydrogen
1094 + atoms. Thus, $C_2^y(t)$ can be compared to the intermolecular portion
1095 + of the dipole-dipole relaxation from a proton NMR signal and should
1096 + provide an estimate of the NMR relaxation time constant.\cite{Impey82}
1097 +
1098 + Results for the diffusion constants and orientational relaxation times
1099 + are shown in figure \ref{tab:Props}. From this data, it is apparent
1100 + that the values for both $D$ and $\tau_2$ using the Ewald sum are
1101 + reproduced with reasonable fidelity by the GSF method.
1102 +
1103 + The $\tau_2$ results in \ref{tab:Props} show a much greater difference
1104 + between the real-space and the Ewald results.
1105 +
1106 + \begin{table}
1107 + \label{tab:Props}
1108 + \caption{Comparison of the structural and dynamic properties for the
1109 +  soft dipolar liquid test for all of the real-space methods.}
1110 + \begin{tabular}{l|c|cccc|cccc|cccc}
1111 +         & Ewald & \multicolumn{4}{c|}{SP} & \multicolumn{4}{c|}{GSF} & \multicolumn{4}{c|}{TSF} \\
1112 + $\alpha$ (\AA$^{-1}$) & &      
1113 + 0.0 & 0.1 & 0.2 & 0.3 &
1114 + 0.0 & 0.1 & 0.2 & 0.3 &
1115 + 0.0 & 0.1 & 0.2 & 0.3 \\ \cline{2-6}\cline{6-10}\cline{10-14}
1116 +
1117 + $\langle U_\mathrm{elect} \rangle /N$ &&&&&&&&&&&&&\\
1118 + D ($10^{-4}~\mathrm{cm}^2/\mathrm{s}$)&
1119 + 470.2(6) &
1120 + 416.6(5) &
1121 + 379.6(5) &
1122 + 438.6(5) &
1123 + 476.0(6) &
1124 + 412.8(5) &
1125 + 421.1(5) &
1126 + 400.5(5) &
1127 + 437.5(6) &
1128 + 434.6(5) &
1129 + 411.4(5) &
1130 + 545.3(7) &
1131 + 459.6(6) \\
1132 + $\tau_2$ (fs) &
1133 + 1.136 &
1134 + 1.041 &
1135 + 1.064 &
1136 + 1.109 &
1137 + 1.211 &
1138 + 1.119 &
1139 + 1.039 &
1140 + 1.058 &
1141 + 1.21  &
1142 + 1.15  &
1143 + 1.172 &
1144 + 1.153 &
1145 + 1.125 \\
1146 + \end{tabular}
1147 + \end{table}
1148 +
1149 +
1150   \section{CONCLUSION}
1151   In the first paper in this series, we generalized the
1152   charge-neutralized electrostatic energy originally developed by Wolf
# Line 1044 | Line 1223 | real-space cutoff boundary.
1223   handling of energies, forces, and torques as multipoles cross the
1224   real-space cutoff boundary.
1225  
1226 + \begin{acknowledgments}
1227 +  JDG acknowledges helpful discussions with Christopher
1228 +  Fennell. Support for this project was provided by the National
1229 +  Science Foundation under grant CHE-1362211. Computational time was
1230 +  provided by the Center for Research Computing (CRC) at the
1231 +  University of Notre Dame.
1232 + \end{acknowledgments}
1233 +
1234   %\bibliographystyle{aip}
1235   \newpage
1236   \bibliography{references}

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