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# Line 18 | Line 18 | Notre Dame, Indiana 46556}
18   \date{\today}
19  
20   \begin{abstract}
21 <
21 > The ripple phase in phosphatidylcholine (PC) bilayers has never been
22 > completely explained.
23   \end{abstract}
24  
25   \pacs{}
# Line 26 | Line 27 | Notre Dame, Indiana 46556}
27  
28   \section{Introduction}
29   \label{sec:Int}
30 + Fully hydrated lipids will aggregate spontaneously to form bilayers
31 + which exhibit a variety of phases depending on their temperatures and
32 + compositions. Among these phases, a periodic rippled phase
33 + ($P_{\beta'}$) appears as an intermediate phase between the gel
34 + ($L_\beta$) and fluid ($L_{\alpha}$) phases for relatively pure
35 + phosphatidylcholine (PC) bilayers.  The ripple phase has attracted
36 + substantial experimental interest over the past 30 years. Most
37 + structural information of the ripple phase has been obtained by the
38 + X-ray diffraction~\cite{Sun96,Katsaras00} and freeze-fracture electron
39 + microscopy (FFEM).~\cite{Copeland80,Meyer96} Recently, Kaasgaard {\it
40 + et al.} used atomic force microscopy (AFM) to observe ripple phase
41 + morphology in bilayers supported on mica.~\cite{Kaasgaard03} The
42 + experimental results provide strong support for a 2-dimensional
43 + hexagonal packing lattice of the lipid molecules within the ripple
44 + phase.  This is a notable change from the observed lipid packing
45 + within the gel phase.~\cite{Cevc87}
46  
47 < As one of the most important components in the formation of the
48 < biomembrane, lipid molecules attracted numerous studies in the past
49 < several decades. Due to their amphiphilic structure, when dispersed in
50 < water, lipids can self-assemble to construct a bilayer structure. The
51 < phase behavior of lipid membrane is well understood. The gel-fluid
52 < phase transition is known as main phase transition. However, there is
53 < an intermediate phase between gel and fluid phase for some lipid (like
54 < phosphatidycholine (PC)) membranes. This intermediate phase
55 < distinguish itself from other phases by its corrugated membrane
56 < surface, therefore this phase is termed ``ripple'' ($P_{\beta '}$)
57 < phase. The phase transition between gel-fluid and ripple phase is
58 < called pretransition. Since the pretransition usually occurs in room
59 < temperature, there might be some important biofuntions carried by the
60 < ripple phase for the living organism.
47 > A number of theoretical models have been presented to explain the
48 > formation of the ripple phase. Marder {\it et al.} used a
49 > curvature-dependent Landau-de Gennes free-energy functional to predict
50 > a rippled phase.~\cite{Marder84} This model and other related continuum
51 > models predict higher fluidity in convex regions and that concave
52 > portions of the membrane correspond to more solid-like regions.
53 > Carlson and Sethna used a packing-competition model (in which head
54 > groups and chains have competing packing energetics) to predict the
55 > formation of a ripple-like phase.  Their model predicted that the
56 > high-curvature portions have lower-chain packing and correspond to
57 > more fluid-like regions.  Goldstein and Leibler used a mean-field
58 > approach with a planar model for {\em inter-lamellar} interactions to
59 > predict rippling in multilamellar phases.~\cite{Goldstein88} McCullough
60 > and Scott proposed that the {\em anisotropy of the nearest-neighbor
61 > interactions} coupled to hydrophobic constraining forces which
62 > restrict height differences between nearest neighbors is the origin of
63 > the ripple phase.~\cite{McCullough90} Lubensky and MacKintosh
64 > introduced a Landau theory for tilt order and curvature of a single
65 > membrane and concluded that {\em coupling of molecular tilt to membrane
66 > curvature} is responsible for the production of
67 > ripples.~\cite{Lubensky93} Misbah, Duplat and Houchmandzadeh proposed
68 > that {\em inter-layer dipolar interactions} can lead to ripple
69 > instabilities.~\cite{Misbah98} Heimburg presented a {\em coexistence
70 > model} for ripple formation in which he postulates that fluid-phase
71 > line defects cause sharp curvature between relatively flat gel-phase
72 > regions.~\cite{Heimburg00} Kubica has suggested that a lattice model of
73 > polar head groups could be valuable in trying to understand bilayer
74 > phase formation.~\cite{Kubica02} Bannerjee used Monte Carlo simulations
75 > of lamellar stacks of hexagonal lattices to show that large headgroups
76 > and molecular tilt with respect to the membrane normal vector can
77 > cause bulk rippling.~\cite{Bannerjee02}
78  
79 < The ripple phase is observed experimentally by x-ray diffraction
80 < ~\cite{Sun96,Katsaras00}, freeze-fracture electron microscopy
81 < (FFEM)~\cite{Copeland80,Meyer96}, and atomic force microscopy (AFM)
82 < recently~\cite{Kaasgaard03}. The experimental studies suggest two
83 < kinds of ripple structures: asymmetric (sawtooth like) and symmetric
84 < (sinusoidal like) ripple phases. Substantial number of theoretical
85 < explaination applied on the formation of the ripple
86 < phases~\cite{Marder84,Carlson87,Goldstein88,McCullough90,Lubensky93,Misbah98,Heimburg00,Kubica02,Bannerjee02}.
87 < In contrast, few molecular modelling have been done due to the large
88 < size of the resulting structures and the time required for the phases
89 < of interest to develop. One of the interesting molecular simulations
90 < was carried out by De Vries and Marrink {\it et
91 < al.}~\cite{deVries05}. According to their dynamic simulation results,
92 < the ripple consists of two domains, one is gel bilayer, and in the
93 < other domain, the upper and lower leaves of the bilayer are fully
94 < interdigitated. The mechanism of the formation of the ripple phase in
95 < their work suggests the theory that the packing competition between
96 < head group and tail of lipid molecules is the driving force for the
97 < formation of the ripple phase~\cite{Carlson87}. Recently, the ripple
98 < phase is also studied by using monte carlo simulation~\cite{Lenz07},
99 < the ripple structure is similar to the results of Marrink except that
100 < the connection of the upper and lower leaves of the bilayer is an
101 < interdigitated line instead of the fully interdigitated
102 < domain. Furthermore, the symmetric ripple phase was also observed in
69 < their work. They claimed the mismatch between the size of the head
70 < group and tail of the lipid molecules is the driving force for the
71 < formation of the ripple phase.
79 > In contrast, few large-scale molecular modelling studies have been
80 > done due to the large size of the resulting structures and the time
81 > required for the phases of interest to develop.  With all-atom (and
82 > even unified-atom) simulations, only one period of the ripple can be
83 > observed and only for timescales in the range of 10-100 ns.  One of
84 > the most interesting molecular simulations was carried out by De Vries
85 > {\it et al.}~\cite{deVries05}. According to their simulation results,
86 > the ripple consists of two domains, one resembling the gel bilayer,
87 > while in the other, the two leaves of the bilayer are fully
88 > interdigitated.  The mechanism for the formation of the ripple phase
89 > suggested by their work is a packing competition between the head
90 > groups and the tails of the lipid molecules.\cite{Carlson87} Recently,
91 > the ripple phase has also been studied by the XXX group using Monte
92 > Carlo simulations.\cite{Lenz07} Their structures are similar to the De
93 > Vries {\it et al.} structures except that the connection between the
94 > two leaves of the bilayer is a narrow interdigitated line instead of
95 > the fully interdigitated domain.  The symmetric ripple phase was also
96 > observed by Lenz {\it et al.}, and their work supports other claims
97 > that the mismatch between the size of the head group and tail of the
98 > lipid molecules is the driving force for the formation of the ripple
99 > phase. Ayton and Voth have found significant undulations in
100 > zero-surface-tension states of membranes simulated via dissipative
101 > particle dynamics, but their results are consistent with purely
102 > thermal undulations.~\cite{Ayton02}
103  
104 < Although the organizations of the tails of lipid molecules are
105 < addressed by these molecular simulations, the ordering of the head
106 < group in ripple phase is still not settlement. We developed a simple
107 < ``web of dipoles'' spin lattice model which provides some physical
108 < insight in our previous studies~\cite{Sun2007}, we found the dipoles
78 < on head groups of the lipid molecules are ordered in an
79 < antiferroelectric state. The similiar phenomenon is also observed by
80 < Tsonchev {\it et al.} when they studied the formation of the
81 < nanotube\cite{Tsonchev04}.
104 > Although the organization of the tails of lipid molecules are
105 > addressed by these molecular simulations and the packing competition
106 > between headgroups and tails is strongly implicated as the primary
107 > driving force for ripple formation, questions about the ordering of
108 > the head groups in ripple phase has not been settled.
109  
110 < In this paper, we made a more realistic coarse-grained lipid model to
111 < understand the primary driving force for membrane corrugation and to
112 < elucidate the organization of the anisotropic interacting head group
113 < via molecular dynamics simulation. We will talk about our model and
114 < methodology in section \ref{sec:method}, and details of the simulation
115 < in section \ref{sec:experiment}. The results are shown in section
116 < \ref{sec:results}. At last, we will discuss the results in section
110 > In a recent paper, we presented a simple ``web of dipoles'' spin
111 > lattice model which provides some physical insight into relationship
112 > between dipolar ordering and membrane buckling.\cite{Sun2007} We found
113 > that dipolar elastic membranes can spontaneously buckle, forming
114 > ripple-like topologies.  The driving force for the buckling in dipolar
115 > elastic membranes the antiferroelectric ordering of the dipoles, and
116 > this was evident in the ordering of the dipole director axis
117 > perpendicular to the wave vector of the surface ripples.  A similiar
118 > phenomenon has also been observed by Tsonchev {\it et al.} in their
119 > work on the spontaneous formation of dipolar molecules into curved
120 > nano-structures.\cite{Tsonchev04}
121 >
122 > In this paper, we construct a somewhat more realistic molecular-scale
123 > lipid model than our previous ``web of dipoles'' and use molecular
124 > dynamics simulations to elucidate the role of the head group dipoles
125 > in the formation and morphology of the ripple phase.  We describe our
126 > model and computational methodology in section \ref{sec:method}.
127 > Details on the simulations are presented in section
128 > \ref{sec:experiment}, with results following in section
129 > \ref{sec:results}.  A final discussion of the role of dipolar heads in
130 > the ripple formation can be found in section
131   \ref{sec:discussion}.
132  
133   \section{Methodology and Model}
134   \label{sec:method}
135  
136 < Our idea for developing a simple and reasonable lipid model to study
137 < the ripple phase of lipid bilayers is based on two facts: one is that
138 < the most essential feature of lipid molecules is their amphiphilic
139 < structure with polar head groups and non-polar tails. Another fact is
140 < that dominant numbers of lipid molecules are very rigid in ripple
141 < phase which allows the details of the lipid molecules neglectable. The
142 < lipid model is shown in Figure \ref{fig:lipidMM}. Figure
143 < \ref{fig:lipidMM}a shows the molecular strucure of a DPPC molecule. The
144 < hydrophilic character of the head group is the effect of the strong
145 < dipole composed by a positive charge sitting on the nitrogen and a
146 < negative charge on the phosphate. The hydrophobic tail consists of
147 < fatty acid chains. In our model shown in Figure \ref{fig:lipidMM}b,
148 < lipid molecules are represented by rigid bodies made of one head
149 < sphere with a point dipole sitting on it and one ellipsoid tail, the
150 < direction of the dipole is fixed to be perpendicular to the tail. The
151 < breadth and length of tail are $\sigma_0$, $3\sigma_0$. The diameter
152 < of heads varies from $1.20\sigma_0$ to $1.41\sigma_0$.  The model of
153 < the solvent in our simulations is inspired by the idea of ``DPD''
154 < water. Every four water molecules are reprsented by one sphere.
136 > Our simple molecular-scale lipid model for studying the ripple phase
137 > is based on two facts: one is that the most essential feature of lipid
138 > molecules is their amphiphilic structure with polar head groups and
139 > non-polar tails. Another fact is that the majority of lipid molecules
140 > in the ripple phase are relatively rigid (i.e. gel-like) which makes
141 > some fraction of the details of the chain dynamics negligible.  Figure
142 > \ref{fig:lipidModels} shows the molecular strucure of a DPPC
143 > molecule, as well as atomistic and molecular-scale representations of
144 > a DPPC molecule.  The hydrophilic character of the head group is
145 > largely due to the separation of charge between the nitrogen and
146 > phosphate groups.  The zwitterionic nature of the PC headgroups leads
147 > to abnormally large dipole moments (as high as 20.6 D), and this
148 > strongly polar head group interacts strongly with the solvating water
149 > layers immediately surrounding the membrane.  The hydrophobic tail
150 > consists of fatty acid chains.  In our molecular scale model, lipid
151 > molecules have been reduced to these essential features; the fatty
152 > acid chains are represented by an ellipsoid with a dipolar ball
153 > perched on one end to represent the effects of the charge-separated
154 > head group.  In real PC lipids, the direction of the dipole is
155 > nearly perpendicular to the tail, so we have fixed the direction of
156 > the point dipole rigidly in this orientation.  
157  
158   \begin{figure}[htb]
159   \centering
# Line 121 | Line 164 | work.\label{fig:lipidModels}}
164   work.\label{fig:lipidModels}}
165   \end{figure}
166  
167 < Spheres interact each other with Lennard-Jones potential
167 > The ellipsoidal portions of the model interact via the Gay-Berne
168 > potential which has seen widespread use in the liquid crystal
169 > community.  In its original form, the Gay-Berne potential was a single
170 > site model for the interactions of rigid ellipsoidal
171 > molecules.\cite{Gay81} It can be thought of as a modification of the
172 > Gaussian overlap model originally described by Berne and
173 > Pechukas.\cite{Berne72} The potential is constructed in the familiar
174 > form of the Lennard-Jones function using orientation-dependent
175 > $\sigma$ and $\epsilon$ parameters,
176   \begin{eqnarray*}
126 V_{ij} = 4\epsilon \left[\left(\frac{\sigma_0}{r_{ij}}\right)^{12} -
127 \left(\frac{\sigma_0}{r_{ij}}\right)^6\right]
128 \end{eqnarray*}
129 here, $\sigma_0$ is diameter of the spherical particle. $r_{ij}$ is
130 the distance between two spheres. $\epsilon$ is the well depth.
131 Dipoles interact each other with typical dipole potential
132 \begin{eqnarray*}
133 V_{ij} = \frac{|\mu|^2}{4 \pi \epsilon_0 r_{ij}^3}
134 \left[ \hat{\bf u}_i \cdot \hat{\bf u}_j - 3 (\hat{\bf u}_i \cdot
135 \hat{\bf r}_{ij})(\hat{\bf u}_j \cdot \hat{\bf r}_{ij}) \right]
136 \end{eqnarray*}
137 In this potential, $\mathbf{\hat u}_i$ is the unit vector pointing
138 along dipole $i$ and $\mathbf{\hat r}_{ij}$ is the unit vector
139 pointing along the inter-dipole vector $\mathbf{r}_{ij}$. Identical
140 ellipsoids interact each other with Gay-Berne potential.
141 \begin{eqnarray*}
177   V_{ij}({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat
178   r}_{ij}}) = 4\epsilon ({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j},
179   {\mathbf{\hat r}_{ij}})\left[\left(\frac{\sigma_0}{r_{ij}-\sigma({\mathbf{\hat u}_i},
180   {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}})+\sigma_0}\right)^{12}
181   -\left(\frac{\sigma_0}{r_{ij}-\sigma({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j},
182   {\mathbf{\hat r}_{ij}})+\sigma_0}\right)^6\right]
183 < \end{eqnarray*}
149 < where $\sigma_0 = \sqrt 2\sigma_s$, and orietation-dependent range
150 < parameter is given by
151 < \begin{eqnarray*}
152 < \sigma({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}}) =
153 < {\sigma_{0}} \left(1-\frac{1}{2}\chi\left[\frac{({\mathbf{\hat r}_{ij}}
154 < \cdot {\mathbf{\hat u}_i} + {\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat
155 < u}_j})^2}{1+\chi({\mathbf{\hat u}_i} \cdot {\mathbf{\hat u}_j})} +
156 < \frac{({\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat u}_i} - {\mathbf{\hat r}_{ij}}
157 < \cdot {\mathbf{\hat u}_j})^2}{1-\chi({\mathbf{\hat u}_i} \cdot
158 < {\mathbf{\hat u}_j})} \right] \right)^{-\frac{1}{2}}
159 < \end{eqnarray*}
160 < and the strength anisotropy function is,
161 < \begin{eqnarray*}
162 < \epsilon ({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}}) =
163 < {\epsilon^\nu}({\mathbf{\hat u}_i}, {\mathbf{\hat
164 < u}_j}){\epsilon'^\mu}({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j},
165 < {\mathbf{\hat r}_{ij}})
166 < \end{eqnarray*}
167 < with $\nu$ and $\mu$ being adjustable exponent, and
168 < $\epsilon({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j})$,
169 < $\epsilon'({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat
170 < r}_{ij}})$ defined as
171 < \begin{eqnarray*}
172 < \epsilon({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}) =
173 < \epsilon_0\left[1-\chi^2({\mathbf{\hat u}_i} \cdot {\mathbf{\hat
174 < u}_j})^2\right]^{-\frac{1}{2}}
183 > \label{eq:gb}
184   \end{eqnarray*}
185 < \begin{eqnarray*}
186 < \epsilon'({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}}) =
187 < 1-\frac{1}{2}\chi'\left[\frac{({\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat
188 < u}_i} + {\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat
189 < u}_j})^2}{1+\chi'({\mathbf{\hat u}_i} \cdot {\mathbf{\hat u}_j})} +
190 < \frac{({\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat u}_i} - {\mathbf{\hat r}_{ij}}
191 < \cdot {\mathbf{\hat u}_j})^2}{1-\chi'({\mathbf{\hat u}_i} \cdot
192 < {\mathbf{\hat u}_j})} \right]
193 < \end{eqnarray*}
194 < the diameter dependent parameter $\chi$ is given by
195 < \begin{eqnarray*}
196 < \chi = \frac{({\sigma_s}^2 -
197 < {\sigma_e}^2)}{({\sigma_s}^2 + {\sigma_e}^2)}
198 < \end{eqnarray*}
199 < and the well depth dependent parameter $\chi'$ is given by
200 < \begin{eqnarray*}
201 < \chi' = \frac{({\epsilon_s}^{\frac{1}{\mu}} -
202 < {\epsilon_e}^{\frac{1}{\mu}})}{({\epsilon_s}^{\frac{1}{\mu}} +
203 < {\epsilon_e}^{\frac{1}{\mu}})}
185 >
186 >
187 >
188 > The range $(\sigma({\bf \hat{u}}_{i},{\bf \hat{u}}_{j},{\bf
189 > \hat{r}}))$, and strength $(\epsilon({\bf \hat{u}}_{i},{\bf
190 > \hat{u}}_{j},{\bf \hat{r}}))$ parameters
191 > are dependent on the relative orientations of the two molecules (${\bf
192 > \hat{u}}_{i},{\bf \hat{u}}_{j}$) as well as the direction of the
193 > intermolecular separation (${\bf \hat{r}}$).  The functional forms for
194 > $\sigma({\bf
195 > \hat{u}}_{i},{\bf
196 > \hat{u}}_{j},{\bf \hat{r}})$ and $\epsilon({\bf \hat{u}}_{i},{\bf
197 > \hat{u}}_{j},{\bf \hat{r}}))$ are given elsewhere
198 > and will not be repeated here.  However, $\epsilon$ and $\sigma$ are
199 > governed by two anisotropy parameters,
200 > \begin {equation}
201 > \begin{array}{rcl}
202 > \chi & = & \frac
203 > {(\sigma_{e}/\sigma_{s})^2-1}{(\sigma_{e}/\sigma_{s})^2+1} \\ \\
204 > \chi\prime & = & \frac {1-(\epsilon_{e}/\epsilon_{s})^{1/\mu}}{1+(\epsilon_{e}/
205 > \epsilon_{s})^{1/\mu}}
206 > \end{array}
207 > \end{equation}
208 > In these equations, $\sigma$ and $\epsilon$ refer to the point of
209 > closest contact and the depth of the well in different orientations of
210 > the two molecules.  The subscript $s$ refers to the {\it side-by-side}
211 > configuration where $\sigma$ has it's smallest value,
212 > $\sigma_{s}$, and where the potential well is $\epsilon_{s}$ deep.
213 > The subscript $e$ refers to the {\it end-to-end} configuration where
214 > $\sigma$ is at it's largest value, $\sigma_{e}$ and where the well
215 > depth, $\epsilon_{e}$ is somewhat smaller than in the side-by-side
216 > configuration.  For the prolate ellipsoids we are using, we have
217 > \begin{equation}
218 > \begin{array}{rcl}
219 > \sigma_{s} & < & \sigma_{e} \\
220 > \epsilon_{s} & > & \epsilon_{e}
221 > \end{array}
222 > \end{equation}
223 > Ref. \onlinecite{Luckhurst90} has a particularly good explanation of the
224 > choice of the Gay-Berne parameters $\mu$ and $\nu$ for modeling liquid
225 > crystal molecules.
226 >
227 > The breadth and length of tail are $\sigma_0$, $3\sigma_0$,
228 > corresponding to a shape anisotropy of 3 for the chain portion of the
229 > molecule.  In principle, this could be varied to allow for modeling of
230 > longer or shorter chain lipid molecules.
231 >
232 > To take into account the permanent dipolar interactions of the
233 > zwitterionic head groups, we place fixed dipole moments $\mu_{i}$ at
234 > one end of the Gay-Berne particles.  The dipoles will be oriented at
235 > an angle $\theta = \pi / 2$ relative to the major axis.  These dipoles
236 > are protected by a head ``bead'' with a range parameter which we have
237 > varied between $1.20\sigma_0$ and $1.41\sigma_0$.  The head groups
238 > interact with each other using a combination of Lennard-Jones,
239 > \begin{eqnarray*}
240 > V_{ij} = 4\epsilon \left[\left(\frac{\sigma_h}{r_{ij}}\right)^{12} -
241 > \left(\frac{\sigma_h}{r_{ij}}\right)^6\right],
242   \end{eqnarray*}
243 < $\sigma_s$ is the side-by-side width, and $\sigma_e$ is the end-to-end
197 < length. $\epsilon_s$ is the side-by-side well depth, and $\epsilon_e$
198 < is the end-to-end well depth. For the interaction between
199 < nonequivalent uniaxial ellipsoids (in this case, between spheres and
200 < ellipsoids), the range parameter is generalized as\cite{Cleaver96}
243 > and dipole,
244   \begin{eqnarray*}
245 + V_{ij} = \frac{|\mu|^2}{4 \pi \epsilon_0 r_{ij}^3}
246 + \left[ \hat{\bf u}_i \cdot \hat{\bf u}_j - 3 (\hat{\bf u}_i \cdot
247 + \hat{\bf r}_{ij})(\hat{\bf u}_j \cdot \hat{\bf r}_{ij}) \right]
248 + \end{eqnarray*}
249 + potentials.  
250 + In these potentials, $\mathbf{\hat u}_i$ is the unit vector pointing
251 + along dipole $i$ and $\mathbf{\hat r}_{ij}$ is the unit vector
252 + pointing along the inter-dipole vector $\mathbf{r}_{ij}$.
253 +
254 + For the interaction between nonequivalent uniaxial ellipsoids (in this
255 + case, between spheres and ellipsoids), the range parameter is
256 + generalized as\cite{Cleaver96}
257 + \begin{eqnarray*}
258   \sigma({\mathbf{\hat u}_i}, {\mathbf{\hat u}_j}, {\mathbf{\hat r}_{ij}}) =
259   {\sigma_{0}} \left(1-\frac{1}{2}\chi\left[\frac{(\alpha{\mathbf{\hat r}_{ij}}
260   \cdot {\mathbf{\hat u}_i} + \alpha^{-1}{\mathbf{\hat r}_{ij}} \cdot {\mathbf{\hat
# Line 213 | Line 269 | where $\alpha$ is given by
269   \left[\frac{\left({\sigma_e}_i^2-{\sigma_s}_i^2\right)\left({\sigma_e}_j^2+{\sigma_s}_i^2\right)}{\left({\sigma_e}_j^2-{\sigma_s}_j^2\right)\left({\sigma_e}_i^2+{\sigma_s}_j^2\right)}
270   \right]^{\frac{1}{2}}
271   \end{eqnarray*}
272 < the strength parameter is adjusted by the suggestion of
273 < \cite{Cleaver96}. All potentials are truncated at $25$ \AA\ and
274 < shifted at $22$ \AA.
272 > the strength parameter has been adjusted as suggested by Cleaver {\it
273 > et al.}\cite{Cleaver96}  A switching function has been applied to all
274 > potentials to smoothly turn off the interactions between a range of  $22$ \AA\ and $25$ \AA.
275  
276 + The model of the solvent in our simulations is inspired by the idea of
277 + ``DPD'' water. Every four water molecules are reprsented by one
278 + sphere.
279 +
280   \begin{figure}[htb]
281   \centering
282   \includegraphics[height=4in]{lipidModel}
# Line 315 | Line 375 | simulations.
375   amplitudes are underestimated without the melted tails in our
376   simulations.
377  
378 + \begin{figure}[htb]
379 + \centering
380 + \includegraphics[width=\linewidth]{topDown}
381 + \caption{Top views of the flat (upper), asymmetric ripple (middle),
382 + and symmetric ripple (lower) phases.  Note that the head-group dipoles
383 + have formed head-to-tail chains in all three of these phases, but in
384 + the two rippled phases, the dipolar chains are all aligned
385 + {\it perpendicular} to the direction of the ripple.  The flat membrane
386 + has multiple point defects in the dipolar orientational ordering, and
387 + the dipolar ordering on the lower leaf of the bilayer can be in a
388 + different direction from the upper leaf.\label{fig:topView}}
389 + \end{figure}
390 +
391   The $P_2$ order paramters (for molecular bodies and head group
392   dipoles) have been calculated to clarify the ordering in these phases
393   quantatively. $P_2=1$ means a perfectly ordered structure, and $P_2=0$
# Line 323 | Line 396 | frustrated on orientational ordering in this circumsta
396   increasing head group size. When the heads of the lipid molecules are
397   small, the membrane is flat. The dipolar ordering is essentially
398   frustrated on orientational ordering in this circumstance. Figure
399 < \ref{} shows the snapshots of the top view for the flat system
399 > \ref{fig:topView} shows the snapshots of the top view for the flat system
400   ($\sigma_h=1.20\sigma$) and rippled system
401   ($\sigma_h=1.41\sigma$). The pointing direction of the dipoles on the
402   head groups are represented by two colored half spheres from blue to

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