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# Line 104 | Line 104 | and a long-ranged reciprocal-space summation,
104   and a long-ranged reciprocal-space summation,
105   \begin{equation}
106   \begin{split}
107 < V_\textrm{elec} = \frac{1}{2}& \sum_{i=1}^N\sum_{j=1}^N \Biggr[ q_i q_j\Biggr( {\sum_{\mathbf{n}}}^\prime \frac{\textrm{erfc}\left( \alpha|\mathbf{r}_{ij}+\mathbf{n}|\right)}{|\mathbf{r}_{ij}+\mathbf{n}|} \\ &+ \frac{1}{\pi L^3}\sum_{\mathbf{k}\ne 0}\frac{4\pi^2}{|\mathbf{k}|^2} \exp{\left(-\frac{\pi^2|\mathbf{k}|^2}{\alpha^2}\right) \cos\left(\mathbf{k}\cdot\mathbf{r}_{ij}\right)}\Biggr)\Biggr] \\ &- \frac{\alpha}{\pi^{1/2}}\sum_{i=1}^N q_i^2 + \frac{2\pi}{3L^3}\left|\sum_{i=1}^N q_i\mathbf{r}_i\right|^2,
107 > V_\textrm{elec} = \frac{1}{2}& \sum_{i=1}^N\sum_{j=1}^N \Biggr[ q_i q_j\Biggr( {\sum_{\mathbf{n}}}^\prime \frac{\textrm{erfc}\left( \alpha|\mathbf{r}_{ij}+\mathbf{n}|\right)}{|\mathbf{r}_{ij}+\mathbf{n}|} \\ &+ \frac{1}{\pi L^3}\sum_{\mathbf{k}\ne 0}\frac{4\pi^2}{|\mathbf{k}|^2} \exp{\left(-\frac{\pi^2|\mathbf{k}|^2}{\alpha^2}\right) \cos\left(\mathbf{k}\cdot\mathbf{r}_{ij}\right)}\Biggr)\Biggr] \\ &- \frac{\alpha}{\pi^{1/2}}\sum_{i=1}^N q_i^2 + \frac{2\pi}{(2\epsilon_\textrm{S}+1)L^3}\left|\sum_{i=1}^N q_i\mathbf{r}_i\right|^2,
108   \end{split}
109   \label{eq:EwaldSum}
110   \end{equation}
111   where $\alpha$ is a damping parameter, or separation constant, with
112 < units of \AA$^{-1}$, and $\mathbf{k}$ are the reciprocal vectors and
113 < equal $2\pi\mathbf{n}/L^2$. The final two terms of
112 > units of \AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and equal
113 > $2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric
114 > constant of the encompassing medium. The final two terms of
115   eq. (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term
116   for interacting with a surrounding dielectric.\cite{Allen87} This
117   dipolar term was neglected in early applications in molecular
118   simulations,\cite{Brush66,Woodcock71} until it was introduced by de
119   Leeuw {\it et al.} to address situations where the unit cell has a
120   dipole moment and this dipole moment gets magnified through
121 < replication of the periodic images.\cite{deLeeuw80} This term is zero
122 < for systems where $\epsilon_{\rm S} = \infty$. Figure
121 > replication of the periodic images.\cite{deLeeuw80,Smith81} If this
122 > term is taken to be zero, the system is using conducting boundary
123 > conditions, $\epsilon_{\rm S} = \infty$. Figure
124   \ref{fig:ewaldTime} shows how the Ewald sum has been applied over
125   time.  Initially, due to the small size of systems, the entire
126   simulation box was replicated to convergence.  Currently, we balance a
# Line 141 | Line 143 | direct and reciprocal-space portions of the summation.
143   $\mathscr{O}(N^2)$ algorithm.  The separation constant $(\alpha)$
144   plays an important role in the computational cost balance between the
145   direct and reciprocal-space portions of the summation.  The choice of
146 < the magnitude of this value allows one to whether the real-space or
147 < reciprocal space portion of the summation is an $\mathscr{O}(N^2)$
148 < calcualtion, with the other being $\mathscr{O}(N)$.\cite{Sagui99} With
149 < appropriate choice of $\alpha$ and thoughtful algorithm development,
150 < this cost can be brought down to
146 > the magnitude of this value allows one to select whether the
147 > real-space or reciprocal space portion of the summation is an
148 > $\mathscr{O}(N^2)$ calcualtion (with the other being
149 > $\mathscr{O}(N)$).\cite{Sagui99} With appropriate choice of $\alpha$
150 > and thoughtful algorithm development, this cost can be brought down to
151   $\mathscr{O}(N^{3/2})$.\cite{Perram88} The typical route taken to
152 < accelerate the Ewald summation is to se
152 > reduce the cost of the Ewald summation further is to set $\alpha$ such
153 > that the real-space interactions decay rapidly, allowing for a short
154 > spherical cutoff, and then optimize the reciprocal space summation.
155 > These optimizations usually involve the utilization of the fast
156 > Fourier transform (FFT),\cite{Hockney81} leading to the
157 > particle-particle particle-mesh (P3M) and particle mesh Ewald (PME)
158 > methods.\cite{Shimada93,Luty94,Luty95,Darden93,Essmann95} In these
159 > methods, the cost of the reciprocal-space portion of the Ewald
160 > summation is from $\mathscr{O}(N^2)$ down to $\mathscr{O}(N \log N)$.
161  
162 + These developments and optimizations have led the use of the Ewald
163 + summation to become routine in simulations with periodic boundary
164 + conditions. However, in certain systems the intrinsic three
165 + dimensional periodicity can prove to be problematic, such as two
166 + dimensional surfaces and membranes.  The Ewald sum has been
167 + reformulated to handle 2D
168 + systems,\cite{Parry75,Parry76,Heyes77,deLeeuw79,Rhee89}, but the new
169 + methods have been found to be computationally
170 + expensive.\cite{Spohr97,Yeh99} Inclusion of a correction term in the
171 + full Ewald summation is a possible direction for enabling the handling
172 + of 2D systems and the inclusion of the optimizations described
173 + previously.\cite{Yeh99}
174 +
175 + Several studies have recognized that the inherent periodicity in the
176 + Ewald sum can also have an effect on systems that have the same
177 + dimensionality.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00}
178 + Good examples are solvated proteins kept at high relative
179 + concentration due to the periodicity of the electrostatics.  In these
180 + systems, the more compact folded states of a protein can be
181 + artificially stabilized by the periodic replicas introduced by the
182 + Ewald summation.\cite{Weber00} Thus, care ought to be taken when
183 + considering the use of the Ewald summation where the intrinsic
184 + perodicity may negatively affect the system dynamics.
185 +
186 +
187   \subsection{The Wolf and Zahn Methods}
188   In a recent paper by Wolf \textit{et al.}, a procedure was outlined
189   for the accurate accumulation of electrostatic interactions in an
190 < efficient pairwise fashion.\cite{Wolf99} Wolf \textit{et al.} observed
191 < that the electrostatic interaction is effectively short-ranged in
192 < condensed phase systems and that neutralization of the charge
193 < contained within the cutoff radius is crucial for potential
194 < stability. They devised a pairwise summation method that ensures
195 < charge neutrality and gives results similar to those obtained with
196 < the Ewald summation.  The resulting shifted Coulomb potential
197 < (Eq. \ref{eq:WolfPot}) includes image-charges subtracted out through
198 < placement on the cutoff sphere and a distance-dependent damping
199 < function (identical to that seen in the real-space portion of the
200 < Ewald sum) to aid convergence
190 > efficient pairwise fashion and lacks the inherent periodicity of the
191 > Ewald summation.\cite{Wolf99} Wolf \textit{et al.} observed that the
192 > electrostatic interaction is effectively short-ranged in condensed
193 > phase systems and that neutralization of the charge contained within
194 > the cutoff radius is crucial for potential stability. They devised a
195 > pairwise summation method that ensures charge neutrality and gives
196 > results similar to those obtained with the Ewald summation.  The
197 > resulting shifted Coulomb potential (Eq. \ref{eq:WolfPot}) includes
198 > image-charges subtracted out through placement on the cutoff sphere
199 > and a distance-dependent damping function (identical to that seen in
200 > the real-space portion of the Ewald sum) to aid convergence
201   \begin{equation}
202   V_{\textrm{Wolf}}(r_{ij})= \frac{q_iq_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}}-\lim_{r_{ij}\rightarrow R_\textrm{c}}\left\{\frac{q_iq_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}}\right\}.
203   \label{eq:WolfPot}

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