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\section{\label{sec:DUFF}The DUFF Force Field} |
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\section{\label{sec:DUFF}Dipolar Unified-Atom Force Field} |
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The DUFF (\underline{D}ipolar \underline{U}nified-atom |
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\underline{F}orce \underline{F}ield) force field was developed to |
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simulate lipid bilayer formation and equilibrium dynamics. We needed a |
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model capable of forming bilayers, while still being sufficiently |
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computationally efficient allowing simulations of large systems |
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(\~100's of phospholipids, \~1000's of waters) for long times (\~10's |
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of nanoseconds). |
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The \underline{D}ipolar \underline{U}nified-Atom |
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\underline{F}orce \underline{F}ield (DUFF) was developed to |
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simulate lipid bilayers. We needed a model capable of forming |
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bilayers, while still being sufficiently computationally efficient to |
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allow simulations of large systems ($\approx$100's of phospholipids, |
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$\approx$1000's of waters) for long times ($\approx$10's of |
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nanoseconds). |
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With this goal in mind, we decided to eliminate all charged |
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interactions within the force field. Charge distributions were |
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replaced with dipolar entities, and charge neutral distributions were |
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reduced to Lennard-Jones interaction sites. This simplification cuts |
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the length scale of long range interactions from $\frac{1}{r}$ to |
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$\frac{1}{r^3}$ (Eq.~\ref{eq:dipole} vs.~ Eq.~\ref{eq:coloumb}), |
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allowing us to avoid the computationally expensive Ewald-Sum. Instead, |
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we can use neighbor-lists and cutoff radii for the dipolar |
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interactions. |
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With this goal in mind, we have eliminated all point charges. Charge |
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distributions were replaced with dipoles, and charge-neutral |
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distributions were reduced to Lennard-Jones interaction sites. This |
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simplification cuts the length scale of long range interactions from |
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$\frac{1}{r}$ to $\frac{1}{r^3}$, allowing us to avoid the |
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computationally expensive Ewald-Sum. Instead, we can use |
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neighbor-lists and cutoff radii for the dipolar interactions. |
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\begin{align} |
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\begin{equation} |
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V^{\text{dipole}}_{ij}(\mathbf{r}_{ij},\boldsymbol{\Omega}_{i}, |
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\boldsymbol{\Omega}_{j}) &= |
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\boldsymbol{\Omega}_{j}) = |
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\frac{1}{4\pi\epsilon_{0}} \biggl[ |
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\frac{\boldsymbol{\mu}_{i} \cdot \boldsymbol{\mu}_{j}}{r^{3}_{ij}} |
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- |
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\frac{3(\boldsymbol{\mu}_i \cdot \mathbf{r}_{ij}) % |
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(\boldsymbol{\mu}_j \cdot \mathbf{r}_{ij}) } |
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{r^{5}_{ij}} \biggr]\label{eq:dipole} \\ |
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V^{\text{ch}}_{ij}(\mathbf{r}_{ij}) &= \frac{q_{i}q_{j}}% |
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{4\pi\epsilon_{0} r_{ij}} \label{eq:coloumb} |
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\end{align} |
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{r^{5}_{ij}} \biggr]\label{eq:dipole} |
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\end{equation} |
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Applying this standard to the lipid model, we decided to represent the |
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lipid model as a point dipole interaction site. Lipid head groups are |
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typically zwitterionic in nature, with sometimes full integer charges |
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separated by only 5 to 6~$\mbox{\AA}$. By placing a dipole of |
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20.6~Debye at the head groups center of mass, our model mimics the |
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dipole of DMPC.\cite{Cevc87} Then, to account for the steric hindrance |
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of the head group, a Lennard-Jones interaction site is also located at |
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the pseudoatom's center of mass. The model is illustrated in |
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Fig.~\ref{fig:lipidModel}. |
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As an example, lipid head groups in DUFF are represented as point |
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dipole interaction sites.PC and PE Lipid head groups are typically |
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zwitterionic in nature, with charges separated by as much as |
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6~$\mbox{\AA}$. By placing a dipole of 20.6~Debye at the head group |
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center of mass, our model mimics the head group of PC.\cite{Cevc87} |
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Additionally, a Lennard-Jones site is located at the |
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pseudoatom's center of mass. The model is illustrated by the dark grey |
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atom in Fig.~\ref{fig:lipidModel}. |
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\begin{figure} |
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\includegraphics[angle=-90,width=\linewidth]{lipidModel.epsi} |
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\label{fig:lipidModel} |
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\end{figure} |
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Turning to the tail chains of the phospholipids, we needed a set of |
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scalable parameters to model the alkyl groups as Lennard-Jones |
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interaction sites. For this, we used the TraPPE force field of |
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Siepmann \emph{et al}.\cite{Siepmann1998} The force field is a |
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unified-atom representation of n-alkanes. It is parametrized against |
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phase equilibria using Gibbs Monte Carlo simulation techniques. One of |
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the advantages of TraPPE is that is generalizes the types of atoms in |
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an alkyl chain to keep the number of pseudoatoms to a minimum; the |
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$\mbox{CH}_2$ in propane is the same as the central and offset |
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$\mbox{CH}_2$'s in pentane, meaning the pseudoatom type does not |
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change according to the atom's environment. |
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Turning to the tails of the phospholipids, we have used a set of |
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scalable parameters to model the alkyl groups with Lennard-Jones |
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sites. For this, we have used the TraPPE force field of Siepmann |
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\emph{et al}.\cite{Siepmann1998} TraPPE is a unified-atom |
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representation of n-alkanes, which is parametrized against phase |
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equilibria using Gibbs Monte Carlo simulation |
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techniques.\cite{Siepmann1998} One of the advantages of TraPPE is that |
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it generalizes the types of atoms in an alkyl chain to keep the number |
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of pseudoatoms to a minimum; the parameters for an atom such as |
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$\text{CH}_2$ do not change depending on what species are bonded to |
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it. |
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Another advantage of using TraPPE is the constraining of all bonds to |
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be of fixed length. Typically, bond vibrations are the motions in a |
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molecular dynamic simulation. This necessitates a small time step |
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between force evaluations be used to ensure adequate sampling of the |
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bond potential. Failure to do so will result in loss of energy |
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conservation within the microcanonical ensemble. By constraining this |
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degree of freedom, time steps larger than were previously allowable |
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are able to be used when integrating the equations of motion. |
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TraPPE also constrains of all bonds to be of fixed length. Typically, |
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bond vibrations are the fastest motions in a molecular dynamic |
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simulation. Small time steps between force evaluations must be used to |
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ensure adequate sampling of the bond potential conservation of |
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energy. By constraining the bond lengths, larger time steps may be |
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used when integrating the equations of motion. |
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After developing the model for the phospholipids, we needed a model |
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for water that would complement our lipid. For this we turned to the |
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soft sticky dipole (SSD) model of Ichiye \emph{et |
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The water model we use to complement this the dipoles of the lipids is |
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the soft sticky dipole (SSD) model of Ichiye \emph{et |
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al.}\cite{liu96:new_model} This model is discussed in greater detail |
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in Sec.~\ref{sec:SSD}. The basic idea of the model is to reduce water |
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to a single Lennard-Jones interaction site. The site also contains a |
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dipole to mimic the partial charges on the hydrogens and the |
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oxygen. However, what makes the SSD model unique is the inclusion of a |
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tetrahedral short range potential to recover the hydrogen bonding of |
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water, an important factor when modeling bilayers, as it has been |
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shown that hydrogen bond network formation is a leading contribution |
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to the entropic driving force towards lipid bilayer |
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formation.\cite{Cevc87} |
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in Sec.~\ref{sec:SSD}. In all cases we reduce water to a single |
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Lennard-Jones interaction site. The site also contains a dipole to |
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mimic the partial charges on the hydrogens and the oxygen. However, |
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what makes the SSD model unique is the inclusion of a tetrahedral |
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short range potential to recover the hydrogen bonding of water, an |
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important factor when modeling bilayers, as it has been shown that |
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hydrogen bond network formation is a leading contribution to the |
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entropic driving force towards lipid bilayer formation.\cite{Cevc87} |
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BREAK |
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\subsection{\label{subSec:energyFunctions}Energy Functions} |
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END OF CURRENT REVISIONS |
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\begin{equation} |
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V_{\text{Total}} = \sum^{N}_{I=1} V^{I}_{\text{Internal}} |
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+ \sum^{N}_{I=1} \sum^{N}_{J=1} V^{IJ}_{\text{Cross}} |
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\label{eq:totalPotential} |
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\end{equation} |
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BREAK |
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\begin{equation} |
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V^{I}_{\text{Internal}} = |
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\sum_{\theta_{ijk} \in I} V_{\text{bend}}(\theta_{ijk}) |
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+ \sum_{\phi_{ijkl} \in I} V_{\text{torsion}}(\theta_{ijkl}) |
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+ \sum_{i \in I} \sum_{(j>i+4) \in I} |
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\biggl[ V_{\text{LJ}}(r_{ij}) + V_{\text{dipole}} |
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(\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j}) |
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\biggr] |
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\label{eq:internalPotential} |
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\end{equation} |
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\begin{equation} |
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V^{IJ}_{\text{Cross}} = |
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\sum_{i \in I} \sum_{j \in J} |
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\biggl[ V_{\text{LJ}}(r_{ij}) + V_{\text{dipole}} |
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(\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j}) |
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+ V_{\text{sticky}} |
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(\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j}) |
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\biggr] |
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\label{eq:crossPotentail} |
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\end{equation} |
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\begin{equation} |
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V_{\theta_{ijk}} = k_{\theta}( \theta_{ijk} - \theta_0 )^2 \label{eq:bendPot} |
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\end{equation} |
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The main energy function in OOPSE is DUFF (the Dipolar Unified-atom |
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Force Field). DUFF is a collection of parameters taken from Seipmann |
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and The total energy of interaction is given by |
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Eq.~\ref{eq:totalPotential}: |
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\begin{equation} |
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V_{\text{Total}} = |
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\overbrace{V_{\theta} + V_{\phi}}^{\text{bonded}} + |
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\underbrace{V_{\text{LJ}} + V_{\text{Dp}} + % |
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V_{\text{SSD}}}_{\text{non-bonded}} \label{eq:totalPotential} |
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V_{\phi_{ijkl}} = ( k_3 \cos^3 \phi + k_2 \cos^2 \phi + k_1 \cos \phi + k_0) |
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\label{eq:torsionPot} |
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\end{equation} |
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\subsection{Bonded Interactions} |
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\label{subSec:bondedInteractions} |
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The bonded interactions in the DUFF functional set are limited to the |
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bend potential and the torsional potential. Bond potentials are not |
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steps to be taken between force evaluations. |
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The bend functional is of the form: |
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\begin{equation} |
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V_{\theta} = \sum k_{\theta}( \theta - \theta_0 )^2 \label{eq:bendPot} |
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\end{equation} |
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$k_{\theta}$, the force constant, and $\theta_0$, the equilibrium bend |
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angle, were taken from the TraPPE forcefield of Siepmann. |
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The torsion functional has the form: |
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\begin{equation} |
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V_{\phi} = \sum ( k_3 \cos^3 \phi + k_2 \cos^2 \phi + k_1 \cos \phi + k_0) |
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\label{eq:torsionPot} |
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\end{equation} |
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Here, the authors decided to use a potential in terms of a power |
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expansion in $\cos \phi$ rather than the typical expansion in |
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$\phi$. This prevents the need for repeated trigonometric |
