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\chapter{\label{chap:electrostatics}ELECTROSTATIC INTERACTION CORRECTION \\ TECHNIQUES} |
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In molecular simulations, proper accumulation of electrostatic |
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interactions is essential and is one of the most |
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interactions is essential and one of the most |
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computationally-demanding tasks. The common molecular mechanics force |
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fields represent atomic sites with full or partial charges protected |
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by repulsive Lennard-Jones interactions. This means that nearly every |
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In this chapter, we focus on a new set of pairwise methods devised by |
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Wolf {\it et al.},\cite{Wolf99} which we further extend. These |
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methods along with a few other mixed methods (i.e. reaction field) are |
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compared with the smooth particle mesh Ewald |
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methods, along with a few other mixed methods (i.e. reaction field), |
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are compared with the smooth particle mesh Ewald |
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sum,\cite{Onsager36,Essmann99} which is our reference method for |
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handling long-range electrostatic interactions. The new methods for |
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handling electrostatics have the potential to scale linearly with |
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increasing system size since they involve only a simple modification |
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increasing system size, since they involve only a simple modification |
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to the direct pairwise sum. They also lack the added periodicity of |
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the Ewald sum, so they can be used for systems which are non-periodic |
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or which have one- or two-dimensional periodicity. Below, these |
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methods are evaluated using a variety of model systems to |
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establish their usability in molecular simulations. |
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methods are evaluated using a variety of model systems to establish |
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their usability in molecular simulations. |
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\section{The Ewald Sum} |
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|
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where $\alpha$ is the damping or convergence parameter with units of |
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\AA$^{-1}$, $\mathbf{k}$ are the reciprocal vectors and are equal to |
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$2\pi\mathbf{n}/L^2$, and $\epsilon_\textrm{S}$ is the dielectric |
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constant of the surrounding medium. The final two terms of |
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equation (\ref{eq:EwaldSum}) are a particle-self term and a dipolar term |
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for interacting with a surrounding dielectric.\cite{Allen87} This |
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dipolar term was neglected in early applications in molecular |
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simulations,\cite{Brush66,Woodcock71} until it was introduced by de |
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Leeuw {\it et al.} to address situations where the unit cell has a |
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dipole moment which is magnified through replication of the periodic |
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images.\cite{deLeeuw80,Smith81} If this term is taken to be zero, the |
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system is said to be using conducting (or ``tin-foil'') boundary |
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conditions, $\epsilon_{\rm S} = \infty$. |
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constant of the surrounding medium. The final two terms of equation |
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(\ref{eq:EwaldSum}) are a particle-self term and a dipolar term for |
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interacting with a surrounding dielectric.\cite{Allen87} This dipolar |
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term was neglected in early applications of this technique in |
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molecular simulations,\cite{Brush66,Woodcock71} until it was |
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introduced by de Leeuw {\it et al.} to address situations where the |
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unit cell has a dipole moment which is magnified through replication |
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of the periodic images.\cite{deLeeuw80,Smith81} If this term is taken |
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to be zero, the system is said to be using conducting (or |
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``tin-foil'') boundary conditions, $\epsilon_{\rm S} = \infty$. |
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|
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\begin{figure} |
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\includegraphics[width=\linewidth]{./figures/ewaldProgression.pdf} |
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bringing them more in line with the cost of the full 3-D summation. |
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|
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Several studies have recognized that the inherent periodicity in the |
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Ewald sum can also have an effect on three-dimensional |
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systems.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00} |
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Solvated proteins are essentially kept at high concentration due to |
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the periodicity of the electrostatic summation method. In these |
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systems, the more compact folded states of a protein can be |
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artificially stabilized by the periodic replicas introduced by the |
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Ewald summation.\cite{Weber00} Thus, care must be taken when |
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Ewald sum can have an effect not just on reduced dimensionality |
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system, but on three-dimensional systems as |
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well.\cite{Roberts94,Roberts95,Luty96,Hunenberger99a,Hunenberger99b,Weber00} |
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As an example, solvated proteins are essentially kept at high |
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concentration due to the periodicity of the electrostatic summation |
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method. In these systems, the more compact folded states of a protein |
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can be artificially stabilized by the periodic replicas introduced by |
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the Ewald summation.\cite{Weber00} Thus, care must be taken when |
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considering the use of the Ewald summation where the assumed |
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periodicity would introduce spurious effects. |
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|
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periodicity of the Ewald summation.\cite{Wolf99} Wolf \textit{et al.} |
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observed that the electrostatic interaction is effectively |
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short-ranged in condensed phase systems and that neutralization of the |
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charge contained within the cutoff radius is crucial for potential |
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charges contained within the cutoff radius is crucial for potential |
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stability. They devised a pairwise summation method that ensures |
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charge neutrality and gives results similar to those obtained with the |
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Ewald summation. The resulting shifted Coulomb potential includes |
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image-charges subtracted out through placement on the cutoff sphere |
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and a distance-dependent damping function (identical to that seen in |
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the real-space portion of the Ewald sum) to aid convergence |
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the real-space portion of the Ewald sum) to aid convergence: |
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\begin{equation} |
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V_{\textrm{Wolf}}(r_{ij})= \frac{q_i q_j \textrm{erfc}(\alpha r_{ij})}{r_{ij}} |
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- \lim_{r_{ij}\rightarrow R_\textrm{c}} |
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\label{eq:ZahnPot} |
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\end{equation} |
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and showed that this potential does fairly well at capturing the |
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structural and dynamic properties of water compared the same |
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structural and dynamic properties of water compared with the same |
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properties obtained using the Ewald sum. |
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|
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\section{Simple Forms for Pairwise Electrostatics}\label{sec:PairwiseDerivation} |
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v(r) = \frac{q_i q_j}{r}, |
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\label{eq:Coulomb} |
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\end{equation} |
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then the Shifted Potential ({\sc sp}) forms will give Wolf {\it et |
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al.}'s undamped prescription: |
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then the {\sc sp} form will give Wolf {\it et al.}'s undamped |
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prescription: |
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\begin{equation} |
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V_\textrm{SP}(r) = |
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q_iq_j\left(\frac{1}{r}-\frac{1}{R_\textrm{c}}\right) \quad |
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forces at the cutoff radius which results in energy drift during MD |
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simulations. |
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The shifted force ({\sc sf}) form using the normal Coulomb potential |
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will give, |
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The {\sc sf} form using the normal Coulomb potential will give, |
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\begin{equation} |
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V_\textrm{SF}(r) = q_iq_j\left[\frac{1}{r}-\frac{1}{R_\textrm{c}} |
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+ \left(\frac{1}{R_\textrm{c}^2}\right)(r-R_\textrm{c})\right] |
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\label{eq:SFForces} |
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\end{equation} |
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This formulation has the benefits that there are no discontinuities at |
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the cutoff radius, while the neutralizing image charges are present in |
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the cutoff radius and the neutralizing image charges are present in |
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both the energy and force expressions. It would be simple to add the |
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self-neutralizing term back when computing the total energy of the |
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system, thereby maintaining the agreement with the Madelung energies. |
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Wolf \textit{et al.} originally discussed the energetics of the |
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shifted Coulomb potential (Eq. \ref{eq:SPPot}) and found that it was |
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insufficient for accurate determination of the energy with reasonable |
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cutoff distances. The calculated Madelung energies fluctuated around |
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the expected value as the cutoff radius was increased, but the |
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cutoff distances. The calculated Madelung energies fluctuated wildly |
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around the expected value, but as the cutoff radius was increased, the |
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oscillations converged toward the correct value.\cite{Wolf99} A |
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damping function was incorporated to accelerate the convergence; and |
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damping function was incorporated to accelerate this convergence; and |
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though alternative forms for the damping function could be |
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used,\cite{Jones56,Heyes81} the complimentary error function was |
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chosen to mirror the effective screening used in the Ewald summation. |
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v(r) = \frac{\mathrm{erfc}\left(\alpha r\right)}{r}, |
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\label{eq:dampCoulomb} |
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\end{equation} |
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the shifted potential (Eq. (\ref{eq:SPPot})) becomes |
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the {\sc sp} potential function (Eq. (\ref{eq:SPPot})) becomes |
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\begin{equation} |
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V_{\textrm{DSP}}(r) = q_iq_j\left(\frac{\textrm{erfc}\left(\alpha r\right)}{r} |
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- \frac{\textrm{erfc}\left(\alpha R_\textrm{c}\right)}{R_\textrm{c}}\right) |
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\quad r\leqslant R_\textrm{c}. |
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\label{eq:DSPForces} |
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\end{equation} |
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Again, this damped shifted potential suffers from a |
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force-discontinuity at the cutoff radius, and the image charges play |
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no role in the forces. To remedy these concerns, one may derive a |
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{\sc sf} variant by including the derivative term in |
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equation (\ref{eq:shiftingForm}), |
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Again, this damped shifted potential suffers from a discontinuity in |
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the forces at the cutoff radius, and the image charges play no role in |
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the forces. To remedy these concerns, one may derive a {\sc sf} |
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variant by including the derivative term present in |
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equation~(\ref{eq:shiftingForm}), |
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\begin{equation} |
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\begin{split} |
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V_\mathrm{DSF}(r) = q_iq_j\Biggr{[}& |
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\end{split} |
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\end{equation} |
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If the damping parameter $(\alpha)$ is set to zero, the undamped case, |
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equations (\ref{eq:SPPot} through \ref{eq:SFForces}) are correctly |
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recovered from equations (\ref{eq:DSPPot} through \ref{eq:DSFForces}). |
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equations (\ref{eq:SPPot}) through (\ref{eq:SFForces}) are correctly |
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recovered from equations (\ref{eq:DSPPot}) through (\ref{eq:DSFForces}). |
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|
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This new {\sc sf} potential is similar to equation \ref{eq:ZahnPot} |
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This new {\sc sf} potential is similar to equation (\ref{eq:ZahnPot}) |
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derived by Zahn \textit{et al.}; however, there are two important |
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differences.\cite{Zahn02} First, the $v_\textrm{c}$ term from equation |
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(\ref{eq:shiftingForm}) is equal to equation (\ref{eq:dampCoulomb}) |
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portion is different. The missing $v_\textrm{c}$ term would not |
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affect molecular dynamics simulations (although the computed energy |
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would be expected to have sudden jumps as particle distances crossed |
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$R_c$). The sign problem is a potential source of errors, however. |
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In fact, it introduces a discontinuity in the forces at the cutoff, |
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because the force function is shifted in the wrong direction and |
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doesn't cross zero at $R_\textrm{c}$. |
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$R_c$); however, the sign problem is a potential source of errors. In |
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fact, equation~(\ref{eq:ZahnPot}) introduces a discontinuity in the |
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forces at the cutoff, because the force function is shifted in the |
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wrong direction and does not cross zero at $R_\textrm{c}$. |
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|
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Equations (\ref{eq:DSFPot}) and (\ref{eq:DSFForces}) result in an |
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electrostatic summation method in which the potential and forces are |
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continuous at the cutoff radius and which incorporates the damping |
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function proposed by Wolf \textit{et al.}\cite{Wolf99} In the rest of |
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this paper, we will evaluate exactly how good these methods ({\sc sp}, |
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{\sc sf}, damping) are at reproducing the correct electrostatic |
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this chapter, we will evaluate exactly how good these methods ({\sc |
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sp}, {\sc sf}, damping) are at reproducing the correct electrostatic |
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summation performed by the Ewald sum. |
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|
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|
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As mentioned in the introduction, there are two primary techniques |
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utilized to obtain information about the system of interest in |
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classical molecular mechanics simulations: Monte Carlo (MC) and |
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Molecular Dynamics (MD). Both of these techniques utilize pairwise |
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molecular dynamics (MD). Both of these techniques utilize pairwise |
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summations of interactions between particle sites, but they use these |
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summations in different ways. |
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|
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electrostatic summation techniques, the dynamics in the short term |
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will be indistinguishable. Because error in MD calculations is |
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cumulative, one should expect greater deviation at longer times, |
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although methods which have large differences in the force and torque |
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and methods which have large differences in the force and torque |
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vectors will diverge from each other more rapidly. |
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|
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\subsection{Monte Carlo and the Energy Gap}\label{sec:MCMethods} |
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correlation (slope) and correlation coefficient for these regressions |
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indicate perfect agreement between the alternative method and {\sc spme}. |
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Sample correlation plots for two alternate methods are shown in |
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Fig. \ref{fig:linearFit}. |
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figure \ref{fig:linearFit}. |
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|
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Each of the seven system types (detailed in section \ref{sec:RepSims}) |
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were represented using 500 independent configurations. Thus, each of |
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the alternative (non-Ewald) electrostatic summation methods was |
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evaluated using an accumulated 873,250 configurational energy |
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differences. |
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differences. Results for and discussions regarding the individual |
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analysis of each of the system types appear in appendix |
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\ref{app:IndividualResults}, while the cumulative results over all the |
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investigated systems appear below in section~\ref{sec:EnergyResults}. |
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|
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Results and discussion for the individual analysis of each of the |
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system types appear in appendix \ref{app:IndividualResults}, while the |
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cumulative results over all the investigated systems appear below in |
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sections \ref{sec:EnergyResults}. |
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|
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\subsection{Molecular Dynamics and the Force and Torque |
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Vectors}\label{sec:MDMethods} We evaluated the pairwise methods |
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(outlined in section \ref{sec:ESMethods}) for use in MD simulations by |
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comparing $\Delta E$ values. Instead of a single energy difference |
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between two system configurations, we compared the magnitudes of the |
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forces (and torques) on each molecule in each configuration. For a |
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system of 1000 water molecules and 40 ions, there are 1040 force |
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vectors and 1000 torque vectors. With 500 configurations, this |
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results in 520,000 force and 500,000 torque vector comparisons. |
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Additionally, data from seven different system types was aggregated |
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before the comparison was made. |
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system of 1000 water molecules and 40 ions, there are 1040 force and |
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1000 torque vectors. With 500 configurations, this results in 520,000 |
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force and 500,000 torque vector comparisons. Additionally, data from |
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seven different system types was aggregated before comparisons were |
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made. |
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|
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The {\it directionality} of the force and torque vectors was |
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investigated through measurement of the angle ($\theta$) formed |
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unit sphere. Since this distribution is a measure of angular error |
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between two different electrostatic summation methods, there is no |
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{\it a priori} reason for the profile to adhere to any specific |
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shape. Thus, gaussian fits were used to measure the width of the |
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shape. Thus, Gaussian fits were used to measure the width of the |
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resulting distributions. The variance ($\sigma^2$) was extracted from |
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each of these fits and was used to compare distribution widths. |
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Values of $\sigma^2$ near zero indicate vector directions |
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\item a high ionic strength solution of NaCl in water (1.1 M), and |
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\item a 6~\AA\ radius sphere of Argon in water. |
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\end{enumerate} |
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|
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By utilizing the pairwise techniques (outlined in section |
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\ref{sec:ESMethods}) in systems composed entirely of neutral groups, |
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charged particles, and mixtures of the two, we hope to discern under |
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|
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The reaction field results illustrates some of that method's |
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limitations, primarily that it was developed for use in homogeneous |
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systems; although it does provide results that are an improvement over |
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those from an unmodified cutoff. |
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systems. It does, however, provide results that are an improvement |
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over those from an unmodified cutoff. |
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|
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\section{Magnitude of the Force and Torque Vector Results}\label{sec:FTMagResults} |
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|
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inverted triangles).} |
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\label{fig:frcMag} |
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\end{figure} |
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Again, it is striking how well the Shifted Potential and Shifted Force |
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methods are doing at reproducing the {\sc spme} forces. The undamped and |
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weakly-damped {\sc sf} method gives the best agreement with Ewald. |
760 |
< |
This is perhaps expected because this method explicitly incorporates a |
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smooth transition in the forces at the cutoff radius as well as the |
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> |
Again, it is striking how well the {\sc sp} and {\sc sf} methods |
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> |
reproduce the {\sc spme} forces. The undamped and weakly-damped {\sc |
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> |
sf} method gives the best agreement with Ewald. This is perhaps |
760 |
> |
expected because this method explicitly incorporates a smooth |
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> |
transition in the forces at the cutoff radius as well as the |
762 |
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neutralizing image charges. |
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|
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Figure \ref{fig:frcMag}, for the most part, parallels the results seen |
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|
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With moderate damping and a large enough cutoff radius, the {\sc sp} |
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method is generating usable forces. Further increases in damping, |
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< |
while beneficial for simulations with a cutoff radius of 9~\AA\ , is |
772 |
> |
while beneficial for simulations with a cutoff radius of 9~\AA\ , are |
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|
detrimental to simulations with larger cutoff radii. |
774 |
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|
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|
The reaction field results are surprisingly good, considering the poor |
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quality of the fits for the $\Delta E$ results. There is still a |
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< |
considerable degree of scatter in the data, but the forces correlate |
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< |
well with the Ewald forces in general. We note that the reaction |
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< |
field calculations do not include the pure NaCl systems, so these |
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< |
results are partly biased towards conditions in which the method |
781 |
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performs more favorably. |
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considerable degree of scatter in the data, but in general, the forces |
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> |
correlate well with the Ewald forces. We note that the pure NaCl |
779 |
> |
systems were not included in the system set used in the reaction field |
780 |
> |
calculations, so these results are partly biased towards conditions in |
781 |
> |
which the method performs more favorably. |
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|
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\begin{figure} |
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\centering |
794 |
|
\end{figure} |
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Molecular torques were only available from the systems which contained |
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rigid molecules (i.e. the systems containing water). The data in |
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fig. \ref{fig:trqMag} is taken from this smaller sampling pool. |
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figure \ref{fig:trqMag} is taken from this smaller sampling pool. |
798 |
|
|
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< |
Torques appear to be much more sensitive to charges at a longer |
800 |
< |
distance. The striking feature in comparing the new electrostatic |
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< |
methods with {\sc spme} is how much the agreement improves with increasing |
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< |
cutoff radius. Again, the weakly damped and undamped {\sc sf} method |
803 |
< |
appears to reproduce the {\sc spme} torques most accurately. |
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> |
Torques appear to be much more sensitive to charge interactions at |
800 |
> |
longer distances. The most noticeable feature in comparing the new |
801 |
> |
electrostatic methods with {\sc spme} is how much the agreement |
802 |
> |
improves with increasing cutoff radius. Again, the weakly damped and |
803 |
> |
undamped {\sc sf} method appears to reproduce the {\sc spme} torques |
804 |
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most accurately. |
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|
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Water molecules are dipolar, and the reaction field method reproduces |
807 |
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the effect of the surrounding polarized medium on each of the |
816 |
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will also be vital in calculating dynamical quantities accurately. |
817 |
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Force and torque directionalities were investigated by measuring the |
818 |
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angles formed between these vectors and the same vectors calculated |
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using {\sc spme}. The results (Fig. \ref{fig:frcTrqAng}) are compared |
819 |
> |
using {\sc spme}. The results (figure \ref{fig:frcTrqAng}) are compared |
820 |
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through the variance ($\sigma^2$) of the Gaussian fits of the angle |
821 |
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error distributions of the combined set over all system types. |
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|
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\end{figure} |
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Both the force and torque $\sigma^2$ results from the analysis of the |
837 |
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total accumulated system data are tabulated in figure |
838 |
< |
\ref{fig:frcTrqAng}. Here it is clear that the Shifted Potential ({\sc |
839 |
< |
sp}) method would be essentially unusable for molecular dynamics |
840 |
< |
unless the damping function is added. The Shifted Force ({\sc sf}) |
841 |
< |
method, however, is generating force and torque vectors which are |
842 |
< |
within a few degrees of the Ewald results even with weak (or no) |
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damping. |
838 |
> |
\ref{fig:frcTrqAng}. Here it is clear that the {\sc sp} method would |
839 |
> |
be essentially unusable for molecular dynamics unless the damping |
840 |
> |
function is added. The {\sc sf} method, however, is generating force |
841 |
> |
and torque vectors which are within a few degrees of the Ewald results |
842 |
> |
even with weak (or no) damping. |
843 |
|
|
844 |
|
All of the sets (aside from the over-damped case) show the improvement |
845 |
|
afforded by choosing a larger cutoff radius. Increasing the cutoff |
921 |
|
The complimentary error function inserted into the potential weakens |
922 |
|
the electrostatic interaction as the value of $\alpha$ is increased. |
923 |
|
However, at larger values of $\alpha$, it is possible to over-damp the |
924 |
< |
electrostatic interaction and to remove it completely. Kast |
924 |
> |
electrostatic interaction and remove it completely. Kast |
925 |
|
\textit{et al.} developed a method for choosing appropriate $\alpha$ |
926 |
|
values for these types of electrostatic summation methods by fitting |
927 |
|
to $g(r)$ data, and their methods indicate optimal values of 0.34, |
928 |
|
0.25, and 0.16~\AA$^{-1}$ for cutoff values of 9, 12, and 15~\AA\ |
929 |
|
respectively.\cite{Kast03} These appear to be reasonable choices to |
930 |
< |
obtain proper MC behavior (Fig. \ref{fig:delE}); however, based on |
930 |
> |
obtain proper MC behavior (figure \ref{fig:delE}); however, based on |
931 |
|
these findings, choices this high would introduce error in the |
932 |
< |
molecular torques, particularly for the shorter cutoffs. Based on our |
933 |
< |
observations, empirical damping up to 0.2~\AA$^{-1}$ is beneficial, |
934 |
< |
but damping may be unnecessary when using the {\sc sf} method. |
932 |
> |
molecular torques, particularly for the shorter cutoffs. Based on the |
933 |
> |
above observations, empirical damping up to 0.2~\AA$^{-1}$ is |
934 |
> |
beneficial, but damping may be unnecessary when using the {\sc sf} |
935 |
> |
method. |
936 |
|
|
937 |
|
|
938 |
|
\section{Short-Time Dynamics: Velocity Autocorrelation Functions of NaCl Crystals}\label{sec:ShortTimeDynamics} |
941 |
|
using equations (\ref{eq:ZahnPot}) and |
942 |
|
(\ref{eq:WolfForces}).\cite{Zahn02,Kast03} Their results indicated |
943 |
|
that a method similar (but not identical with) the damped {\sc sf} |
944 |
< |
method resulted in properties very similar to those obtained when |
944 |
> |
method resulted in properties very close to those obtained when |
945 |
|
using the Ewald summation. The properties they studied (pair |
946 |
|
distribution functions, diffusion constants, and velocity and |
947 |
|
orientational correlation functions) may not be particularly sensitive |
948 |
|
to the long-range and collective behavior that governs the |
949 |
|
low-frequency behavior in crystalline systems. Additionally, the |
950 |
< |
ionic crystals are the worst case scenario for the pairwise methods |
950 |
> |
ionic crystals are a worst case scenario for the pairwise methods |
951 |
|
because they lack the reciprocal space contribution contained in the |
952 |
|
Ewald summation. |
953 |
|
|
954 |
< |
We are using two separate measures to probe the effects of these |
954 |
> |
We used two separate measures to probe the effects of these |
955 |
|
alternative electrostatic methods on the dynamics in crystalline |
956 |
< |
materials. For short- and intermediate-time dynamics, we are |
957 |
< |
computing the velocity autocorrelation function, and for long-time |
958 |
< |
and large length-scale collective motions, we are looking at the |
959 |
< |
low-frequency portion of the power spectrum. |
956 |
> |
materials. For short- and intermediate-time dynamics, we computed the |
957 |
> |
velocity autocorrelation function, and for long-time and large |
958 |
> |
length-scale collective motions, we looked at the low-frequency |
959 |
> |
portion of the power spectrum. |
960 |
|
|
961 |
|
\begin{figure} |
962 |
|
\centering |
970 |
|
are stiffer than the moderately damped and {\sc spme} methods.} |
971 |
|
\label{fig:vCorrPlot} |
972 |
|
\end{figure} |
973 |
< |
The short-time decay of the velocity autocorrelation function through |
973 |
> |
The short-time decay of the velocity autocorrelation functions through |
974 |
|
the first collision are nearly identical in figure |
975 |
|
\ref{fig:vCorrPlot}, but the peaks and troughs of the functions show |
976 |
|
how the methods differ. The undamped {\sc sf} method has deeper |
977 |
< |
troughs (see inset in Fig. \ref{fig:vCorrPlot}) and higher peaks than |
977 |
> |
troughs (see inset in figure \ref{fig:vCorrPlot}) and higher peaks than |
978 |
|
any of the other methods. As the damping parameter ($\alpha$) is |
979 |
|
increased, these peaks are smoothed out, and the {\sc sf} method |
980 |
|
approaches the {\sc spme} results. With $\alpha$ values of 0.2~\AA$^{-1}$, |
1002 |
|
collective long-time motion, we computed power spectra from long-time |
1003 |
|
traces of the velocity autocorrelation function. The power spectra for |
1004 |
|
the best-performing alternative methods are shown in |
1005 |
< |
fig. \ref{fig:methodPS}. Apodization of the correlation functions via |
1005 |
> |
figure \ref{fig:methodPS}. Apodization of the correlation functions via |
1006 |
|
a cubic switching function between 40 and 50~ps was used to reduce the |
1007 |
|
ringing resulting from data truncation. This procedure had no |
1008 |
|
noticeable effect on peak location or magnitude. |
1014 |
|
figure \ref{fig:methodPS}), at frequencies below 100~cm$^{-1}$, the |
1015 |
|
correlated motions are blue-shifted when using undamped or weakly |
1016 |
|
damped {\sc sf}. When using moderate damping ($\alpha = |
1017 |
< |
0.2$~\AA$^{-1}$) both the {\sc sf} and {\sc sp} methods give nearly |
1018 |
< |
identical correlated motion to the Ewald method (which has a |
1017 |
> |
0.2$~\AA$^{-1}$), both the {\sc sf} and {\sc sp} methods produce |
1018 |
> |
correlated motions nearly identical to the Ewald method (which has a |
1019 |
|
convergence parameter of 0.3119~\AA$^{-1}$). This weakening of the |
1020 |
|
electrostatic interaction with increased damping explains why the |
1021 |
|
long-ranged correlated motions are at lower frequencies for the |
1035 |
|
\end{figure} |
1036 |
|
To isolate the role of the damping constant, we have computed the |
1037 |
|
spectra for a single method ({\sc sf}) with a range of damping |
1038 |
< |
constants and compared this with the {\sc spme} spectrum. |
1039 |
< |
Fig. \ref{fig:dampInc} shows more clearly that increasing the |
1040 |
< |
electrostatic damping red-shifts the lowest frequency phonon modes. |
1041 |
< |
However, even without any electrostatic damping, the {\sc sf} method |
1042 |
< |
has at most a 10 cm$^{-1}$ error in the lowest frequency phonon mode. |
1043 |
< |
Without the {\sc sf} modifications, an undamped (pure cutoff) method |
1044 |
< |
would predict the lowest frequency peak near 325~cm$^{-1}$. {\it |
1045 |
< |
Most} of the collective behavior in the crystal is accurately captured |
1046 |
< |
using the {\sc sf} method. Quantitative agreement with Ewald can be |
1047 |
< |
obtained using moderate damping in addition to the shifting at the |
1048 |
< |
cutoff distance. |
1038 |
> |
constants and compared this with the {\sc spme} spectrum. Figure |
1039 |
> |
\ref{fig:dampInc} shows more clearly that increasing the electrostatic |
1040 |
> |
damping red-shifts the lowest frequency phonon modes. However, even |
1041 |
> |
without any electrostatic damping, the {\sc sf} method has at most a |
1042 |
> |
10 cm$^{-1}$ error in the lowest frequency phonon mode. Without the |
1043 |
> |
{\sc sf} modifications, an undamped (pure cutoff) method would predict |
1044 |
> |
the lowest frequency peak near 325~cm$^{-1}$, an error significantly |
1045 |
> |
larger than that of the undamped {\sc sf} technique. This indicates |
1046 |
> |
that {\it most} of the collective behavior in the crystal is |
1047 |
> |
accurately captured using the {\sc sf} method. Quantitative agreement |
1048 |
> |
with Ewald can be obtained using moderate damping in addition to the |
1049 |
> |
shifting at the cutoff distance. |
1050 |
|
|
1051 |
|
\section{An Application: TIP5P-E Water}\label{sec:t5peApplied} |
1052 |
|
|