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1  
2 < \section{The DUFF Energy Function}
3 < \label{sec:energyFunctionals}
2 > \section{\label{sec:DUFF}Dipolar Unified-Atom Force Field}
3  
4 + The \underline{D}ipolar \underline{U}nified-Atom
5 + \underline{F}orce \underline{F}ield (DUFF) was developed to
6 + simulate lipid bilayers. We needed a model capable of forming
7 + bilayers, while still being sufficiently computationally efficient to
8 + allow simulations of large systems ($\approx$100's of phospholipids,
9 + $\approx$1000's of waters) for long times ($\approx$10's of
10 + nanoseconds).
11  
12 + With this goal in mind, we have eliminated all point charges. Charge
13 + distributions were replaced with dipoles, and charge-neutral
14 + distributions were reduced to Lennard-Jones interaction sites. This
15 + simplification cuts the length scale of long range interactions from
16 + $\frac{1}{r}$ to $\frac{1}{r^3}$, allowing us to avoid the
17 + computationally expensive Ewald-Sum. Instead, we can use
18 + neighbor-lists and cutoff radii for the dipolar interactions.
19  
7 The main energy function in OOPSE is DUFF (the Dipolar
8 Unified-atom Force Field). DUFF is a collection of parameters taken
9 from Seipmann \emph{et al.}\cite{Siepmann1998} and Ichiye \emph{et
10 al.}\cite{liu96:new_model} The total energy of interaction is given by
11 Eq.~\ref{eq:totalPotential}:
20   \begin{equation}
21 < V_{\text{Total}} =
22 <        \overbrace{V_{\theta} + V_{\phi}}^{\text{bonded}} +
23 <        \underbrace{V_{\text{LJ}} + V_{\text{Dp}} + %
24 <        V_{\text{SSD}}}_{\text{non-bonded}} \label{eq:totalPotential}
21 > V^{\text{dipole}}_{ij}(\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},
22 >        \boldsymbol{\Omega}_{j}) =
23 >        \frac{1}{4\pi\epsilon_{0}} \biggl[
24 >        \frac{\boldsymbol{\mu}_{i} \cdot \boldsymbol{\mu}_{j}}{r^{3}_{ij}}
25 >        -
26 >        \frac{3(\boldsymbol{\mu}_i \cdot \mathbf{r}_{ij}) %
27 >                (\boldsymbol{\mu}_j \cdot \mathbf{r}_{ij}) }
28 >                {r^{5}_{ij}} \biggr]\label{eq:dipole}
29 > \end{equation}
30 >
31 > As an example, lipid head groups in DUFF are represented as point
32 > dipole interaction sites.PC and PE Lipid head groups are typically
33 > zwitterionic in nature, with charges separated by as much as
34 > 6~$\mbox{\AA}$. By placing a dipole of 20.6~Debye at the head group
35 > center of mass, our model mimics the head group of PC.\cite{Cevc87}
36 > Additionally, a Lennard-Jones site is located at the
37 > pseudoatom's center of mass. The model is illustrated by the dark grey
38 > atom in Fig.~\ref{fig:lipidModel}.
39 >
40 > \begin{figure}
41 > \includegraphics[angle=-90,width=\linewidth]{lipidModel.epsi}
42 > \caption{A representation of the lipid model. $\phi$ is the torsion angle, $\theta$ %
43 > is the bend angle, $\mu$ is the dipole moment of the head group, and n is the chain length.}
44 > \label{fig:lipidModel}
45 > \end{figure}
46 >
47 > Turning to the tails of the phospholipids, we have used a set of
48 > scalable parameters to model the alkyl groups with Lennard-Jones
49 > sites. For this, we have used the TraPPE force field of Siepmann
50 > \emph{et al}.\cite{Siepmann1998} TraPPE is a unified-atom
51 > representation of n-alkanes, which is parametrized against phase
52 > equilibria using Gibbs Monte Carlo simulation
53 > techniques.\cite{Siepmann1998} One of the advantages of TraPPE is that
54 > it generalizes the types of atoms in an alkyl chain to keep the number
55 > of pseudoatoms to a minimum; the parameters for an atom such as
56 > $\text{CH}_2$ do not change depending on what species are bonded to
57 > it.
58 >
59 > TraPPE also constrains of all bonds to be of fixed length. Typically,
60 > bond vibrations are the fastest motions in a molecular dynamic
61 > simulation. Small time steps between force evaluations must be used to
62 > ensure adequate sampling of the bond potential conservation of
63 > energy. By constraining the bond lengths, larger time steps may be
64 > used when integrating the equations of motion.
65 >
66 > The water model we use to complement this the dipoles of the lipids is
67 > the soft sticky dipole (SSD) model of Ichiye \emph{et
68 > al.}\cite{liu96:new_model} This model is discussed in greater detail
69 > in Sec.~\ref{sec:SSD}. In all cases we reduce water to a single
70 > Lennard-Jones interaction site. The site also contains a dipole to
71 > mimic the partial charges on the hydrogens and the oxygen. However,
72 > what makes the SSD model unique is the inclusion of a tetrahedral
73 > short range potential to recover the hydrogen bonding of water, an
74 > important factor when modeling bilayers, as it has been shown that
75 > hydrogen bond network formation is a leading contribution to the
76 > entropic driving force towards lipid bilayer formation.\cite{Cevc87}
77 >
78 > \subsection{\label{subSec:energyFunctions}Energy Functions}
79 >
80 > \begin{equation}
81 > V_{\text{Total}} = \sum^{N}_{I=1} V^{I}_{\text{Internal}}
82 >        + \sum^{N}_{I=1} \sum^{N}_{J=1} V^{IJ}_{\text{Cross}}
83 > \label{eq:totalPotential}
84   \end{equation}
85  
86 < \subsection{Bonded Interactions}
87 < \label{subSec:bondedInteractions}
86 > \begin{equation}
87 > V^{I}_{\text{Internal}} =
88 >        \sum_{\theta_{ijk} \in I} V_{\text{bend}}(\theta_{ijk})
89 >        + \sum_{\phi_{ijkl} \in I} V_{\text{torsion}}(\theta_{ijkl})
90 >        + \sum_{i \in I} \sum_{(j>i+4) \in I}
91 >        \biggl[ V_{\text{LJ}}(r_{ij}) +  V_{\text{dipole}}
92 >        (\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j})
93 >        \biggr]
94 > \label{eq:internalPotential}
95 > \end{equation}
96  
97 + \begin{equation}
98 + V^{IJ}_{\text{Cross}} =
99 +        \sum_{i \in I} \sum_{j \in J}
100 +        \biggl[ V_{\text{LJ}}(r_{ij}) +  V_{\text{dipole}}
101 +        (\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j})
102 +        + V_{\text{sticky}}
103 +        (\mathbf{r}_{ij},\boldsymbol{\Omega}_{i},\boldsymbol{\Omega}_{j})
104 +        \biggr]
105 + \label{eq:crossPotentail}
106 + \end{equation}
107 +
108 + \begin{equation}
109 + V_{\theta_{ijk}} = k_{\theta}( \theta_{ijk} - \theta_0 )^2 \label{eq:bendPot}
110 + \end{equation}
111 +
112 + \begin{equation}
113 + V_{\phi_{ijkl}} =  ( k_3 \cos^3 \phi + k_2 \cos^2 \phi + k_1 \cos \phi + k_0)
114 + \label{eq:torsionPot}
115 + \end{equation}
116 +
117 +
118   The bonded interactions in the DUFF functional set are limited to the
119   bend potential and the torsional potential. Bond potentials are not
120   calculated, instead all bond lengths are fixed to allow for large time
121   steps to be taken between force evaluations.
122  
123   The bend functional is of the form:
124 < \begin{equation}
29 < V_{\theta} = \sum k_{\theta}( \theta - \theta_0 )^2 \label{eq:bendPot}
30 < \end{equation}
124 >
125   $k_{\theta}$, the force constant, and $\theta_0$, the equilibrium bend
126   angle, were taken from the TraPPE forcefield of Siepmann.
127  
128   The torsion functional has the form:
129 < \begin{equation}
36 < V_{\phi} =  \sum ( k_3 \cos^3 \phi + k_2 \cos^2 \phi + k_1 \cos \phi + k_0)
37 < \label{eq:torsionPot}
38 < \end{equation}
129 >
130   Here, the authors decided to use a potential in terms of a power
131   expansion in $\cos \phi$ rather than the typical expansion in
132 < $\phi$. This prevents the need for repeated trigonemtric
132 > $\phi$. This prevents the need for repeated trigonometric
133   evaluations. Again, all $k_n$ constants were based on those in TraPPE.
134  
135   \subsection{Non-Bonded Interactions}

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