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1 \documentclass[journal = jctcce, manuscript = article]{achemso}
2 \setkeys{acs}{usetitle = true}
3
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11 \usepackage{amsmath}
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19 \usepackage{longtable}
20 \usepackage{graphicx}
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23 \usepackage{achemso}
24 \usepackage[version=3]{mhchem} % this is a great package for formatting chemical reactions
25 % \usepackage[square, comma, sort&compress]{natbib}
26 \usepackage{url}
27 \pagestyle{plain} \pagenumbering{arabic} \oddsidemargin 0.0cm
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29 9.0in \textwidth 6.5in \brokenpenalty=10000
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31 % double space list of tables and figures
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40
41 \title{A Method for Creating Thermal and Angular Momentum Fluxes in Non-Periodic Systems}
42
43 \author{Kelsey M. Stocker}
44 \author{J. Daniel Gezelter}
45 \email{gezelter@nd.edu}
46 \affiliation[University of Notre Dame]{251 Nieuwland Science Hall\\ Department of Chemistry and Biochemistry\\ University of Notre Dame\\ Notre Dame, Indiana 46556}
47
48 \begin{document}
49
50 \newcolumntype{A}{p{1.5in}}
51 \newcolumntype{B}{p{0.75in}}
52
53 % \author{Kelsey M. Stocker and J. Daniel
54 % Gezelter\footnote{Corresponding author. \ Electronic mail:
55 % gezelter@nd.edu} \\
56 % 251 Nieuwland Science Hall, \\
57 % Department of Chemistry and Biochemistry,\\
58 % University of Notre Dame\\
59 % Notre Dame, Indiana 46556}
60
61 \date{\today}
62
63 \maketitle
64
65 \begin{doublespace}
66
67 \begin{abstract}
68
69 We have adapted the Velocity Shearing and Scaling Reverse Non-Equilibium Molecular Dynamics (VSS-RNEMD) method for use with aperiodic system geometries. This new method is capable of creating stable temperature and angular velocity gradients in heterogeneous non-periodic systems while conserving total energy and angular momentum. To demonstrate the method, we have computed the thermal conductivities of a gold nanoparticle and water cluster, the shear viscosity of a water cluster, the interfacial thermal conductivity of a solvated gold nanoparticle and the interfacial friction of solvated gold nanostructures.
70
71 \end{abstract}
72
73 \newpage
74
75 %\narrowtext
76
77 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
78 % **INTRODUCTION**
79 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
80 \section{Introduction}
81
82
83 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
84 % **METHODOLOGY**
85 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
86 \section{Methodology}
87
88 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
89 % NON-PERIODIC DYNAMICS
90 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
91 \subsection{Dynamics for non-periodic systems}
92
93 We have run all tests using the Langevin Hull nonperiodic simulation methodology.\cite{Vardeman2011} The Langevin Hull is especially useful for simulating heterogeneous mixtures of materials with different compressibilities, which are typically problematic for traditional affine transform methods. We have had success applying this method to
94 several different systems including bare metal nanoparticles, liquid water clusters, and explicitly solvated nanoparticles. Calculated physical properties such as the isothermal compressibility of water and the bulk modulus of gold nanoparticles are in good agreement with previous theoretical and experimental results. The Langevin Hull uses a Delaunay tesselation to create a dynamic convex hull composed of triangular facets with vertices at atomic sites. Atomic sites included in the hull are coupled to an external bath defined by a temperature, pressure and viscosity. Atoms not included in the hull are subject to standard Newtonian dynamics. For these tests, thermal coupling to the bath was turned off to avoid interference with any imposed kinetic flux. Systems containing liquids were run under moderate pressure ($\sim$ 5 atm) to avoid the formation of a substantial vapor phase.
95
96 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
97 % NON-PERIODIC RNEMD
98 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
99 \subsection{VSS-RNEMD for non-periodic systems}
100
101 The most useful RNEMD approach developed so far utilizes a series of
102 simultaneous velocity shearing and scaling (VSS) exchanges between the two
103 regions.\cite{Kuang2012} This method provides a set of conservation constraints
104 while simultaneously creating a desired flux between the two regions. Satisfying
105 the constraint equations ensures that the new configurations are sampled from the
106 same NVE ensemble.
107
108 We have implemented this new method in OpenMD, our group molecular dynamics code.\cite{openmd} The adaptation of VSS-RNEMD for non-periodic systems is relatively
109 straightforward. The major modifications to the method are the addition of a rotational shearing term and the use of more versatile hot / cold regions instead
110 of rectangular slabs. A temperature profile along the $r$ coordinate is created by recording the average temperature of concentric spherical shells.
111
112 \begin{figure}
113 \center{\includegraphics[width=7in]{figures/VSS}}
114 \caption{Schematics of periodic (left) and nonperiodic (right) Velocity Shearing and Scaling RNEMD. A kinetic energy or momentum flux is applied from region B to region A. Thermal gradients are depicted by a color gradient. Linear or angular velocity gradients are shown as arrows.}
115 \label{fig:VSS}
116 \end{figure}
117
118 At each time interval, the particle velocities ($\mathbf{v}_i$ and
119 $\mathbf{v}_j$) in the cold and hot shells ($C$ and $H$) are modified by a
120 velocity scaling coefficient ($c$ and $h$), an additive linear velocity shearing
121 term ($\mathbf{a}_c$ and $\mathbf{a}_h$), and an additive angular velocity
122 shearing term ($\mathbf{b}_c$ and $\mathbf{b}_h$). Here, $\langle
123 \mathbf{v}_{i,j} \rangle$ and $\langle \mathbf{\omega}_{i,j} \rangle$ are the
124 average linear and angular velocities for each shell.
125 \begin{displaymath}
126 \begin{array}{rclcl}
127 & \underline{~~~~~~~~~~\mathrm{scaling}~~~~~~~~~~} & &
128 \underline{\mathrm{rotational \; shearing}} \\ \\
129 \mathbf{v}_i $~~~$\leftarrow &
130 c \, \left(\mathbf{v}_i - \langle \omega_c
131 \rangle \times r_i\right) & + & \mathbf{b}_c \times r_i \\
132 \mathbf{v}_j $~~~$\leftarrow &
133 h \, \left(\mathbf{v}_j - \langle \omega_h
134 \rangle \times r_j\right) & + & \mathbf{b}_h \times r_j
135 \end{array}
136 \end{displaymath}
137
138 \begin{eqnarray}
139 \mathbf{b}_c & = & - \mathbf{j}_r(\mathbf{L}) \; \Delta \, t \; I_c^{-1} + \langle \omega_c \rangle \label{eq:bc}\\
140 \mathbf{b}_h & = & + \mathbf{j}_r(\mathbf{L}) \; \Delta \, t \; I_h^{-1} + \langle \omega_h \rangle \label{eq:bh}
141 \end{eqnarray}
142
143 The total energy is constrained via two quadratic formulae,
144 \begin{eqnarray}
145 K_c - J_r \; \Delta \, t & = & c^2 \, (K_c - \frac{1}{2}\langle \omega_c \rangle \cdot I_c\langle \omega_c \rangle) + \frac{1}{2} \mathbf{b}_c \cdot I_c \, \mathbf{b}_c \label{eq:Kc}\\
146 K_h + J_r \; \Delta \, t & = & h^2 \, (K_h - \frac{1}{2}\langle \omega_h \rangle \cdot I_h\langle \omega_h \rangle) + \frac{1}{2} \mathbf{b}_h \cdot I_h \, \mathbf{b}_h \label{eq:Kh}
147 \end{eqnarray}
148
149 the simultaneous
150 solution of which provide the velocity scaling coefficients $c$ and $h$. Given an
151 imposed angular momentum flux, $\mathbf{j}_{r} \left( \mathbf{L} \right)$, and/or
152 thermal flux, $J_r$, equations \ref{eq:bc} - \ref{eq:Kh} are sufficient to obtain
153 the velocity scaling ($c$ and $h$) and shearing ($\mathbf{b}_c,\,$ and $\mathbf{b}_h$) at each time interval.
154
155 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
156 % **COMPUTATIONAL DETAILS**
157 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
158 \section{Computational Details}
159
160 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
161 % SIMULATION PROTOCOL
162 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
163 \subsection{Simulation protocol}
164
165
166 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
167 % FORCE FIELD PARAMETERS
168 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
169 \subsection{Force field parameters}
170
171 We have chosen the SPC/E water model for these simulations, which is particularly useful for method validation as there are many values for physical properties from previous simulations available for direct comparison.\cite{Bedrov:2000, Kuang2010}
172
173 Gold -- gold interactions are described by the quantum Sutton-Chen (QSC) model.\cite{PhysRevB.59.3527} The QSC parameters are tuned to experimental properties such as density, cohesive energy, and elastic moduli and include zero-point quantum corrections.
174
175 Hexane molecules are described by the TraPPE united atom model,\cite{TraPPE-UA.alkanes} which provides good computational efficiency and reasonable accuracy for bulk thermal conductivity values. In this model,
176 sites are located at the carbon centers for alkyl groups. Bonding
177 interactions, including bond stretches and bends and torsions, were
178 used for intra-molecular sites closer than 3 bonds. For non-bonded
179 interactions, Lennard-Jones potentials were used. We have previously
180 utilized both united atom (UA) and all-atom (AA) force fields for
181 thermal conductivity,\cite{kuang:AuThl,Kuang2012} and since the united
182 atom force fields cannot populate the high-frequency modes that are
183 present in AA force fields, they appear to work better for modeling
184 thermal conductivity.
185
186 Gold -- hexane nonbonded interactions are governed by pairwise Lennard-Jones parameters derived from Vlugt \emph{et al}.\cite{vlugt:cpc2007154} They fitted parameters for the interaction between Au and CH$_{\emph x}$ pseudo-atoms based on the effective potential of Hautman and Klein for the Au(111) surface.\cite{hautman:4994}
187
188 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
189 % THERMAL CONDUCTIVITIES
190 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
191 \subsection{Thermal conductivities}
192
193 The thermal conductivity, $\lambda$, can be calculated using the imposed kinetic energy flux, $J_r$, and thermal gradient, $\frac{\partial T}{\partial r}$ measured from the resulting temperature profile
194
195 \begin{equation}
196 J_r = -\lambda \frac{\partial T}{\partial r}
197 \end{equation}
198
199 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
200 % INTERFACIAL THERMAL CONDUCTANCE
201 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
202 \subsection{Interfacial thermal conductance}
203
204 A thermal flux is created using VSS-RNEMD moves, and the resulting temperature
205 profiles are analyzed to yield information about the interfacial thermal
206 conductance. As the simulation progresses, the VSS moves are performed on a regular basis, and
207 the system develops a thermal or velocity gradient in response to the applied
208 flux. A definition of the interfacial conductance in terms of a temperature difference ($\Delta T$) measured at $r_0$,
209 \begin{equation}
210 G = \frac{J_r}{\Delta T_{r_0}}, \label{eq:G}
211 \end{equation}
212 is useful once the RNEMD approach has generated a
213 stable temperature gap across the interface.
214
215 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
216 % INTERFACIAL FRICTION
217 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
218 \subsection{Interfacial friction}
219
220 The slip length, $\delta$, is defined as the ratio of the interfacial friction coefficient, $\kappa$, and dynamic solvent viscosity, $\eta$
221
222 \begin{equation}
223 \delta = \frac{\eta}{\kappa}
224 \end{equation}
225
226 and is measured from a radial angular momentum profile generated from a nonperiodic VSS-RNEMD simulation.
227
228 Analytical solutions for the rotational friction coefficients for a solvated spherical body of radius $r$ under ``stick'' boundary conditions can be estimated using Stokes' law
229
230 \begin{equation}
231 \Xi = 8 \pi \eta r^3 \label{eq:Xi}.
232 \end{equation}
233
234 where $\eta$ is the dynamic viscosity of the surrounding solvent and was determined for TraPPE-UA hexane under these condition by applying a traditional VSS-RNEMD linear momentum flux to a periodic box of solvent.
235
236 For general ellipsoids with semiaxes $a$, $b$, and $c$, Perrin's extension of Stokes' law provides exact solutions for symmetric prolate $(a \geq b = c)$ and oblate $(a < b = c)$ ellipsoids. For simplicity, we define a Perrin Factor, $S$,
237
238 \begin{equation}
239 S = \frac{2}{\sqrt{a^2 - b^2}} ln \left[ \frac{a + \sqrt{a^2 - b^2}}{b} \right]. \label{eq:S}
240 \end{equation}
241
242 For a prolate ellipsoidal rod, demonstrated here, the rotational resistance tensor $\Xi$ is a $3 \times 3$ diagonal matrix with elements
243 \begin{equation}
244 \Xi^{rr}_a = \frac{32 \pi}{2} \eta \frac{ \left( a^2 - b^2 \right) b^2}{2a - b^2 S}
245 \label{eq:Xia}
246 \end{equation}
247 \begin{equation}
248 \Xi^{rr}_{b,c} = \frac{32 \pi}{2} \eta \frac{ \left( a^4 - b^4 \right)}{ \left( 2a^2 - b^2 \right)S - 2a}. \label{eq:Xibc}
249 \end{equation}
250
251 % However, the friction between hexane solvent and gold more likely falls within ``slip'' boundary conditions. Hu and Zwanzig\cite{Zwanzig} investigated the rotational friction coefficients for spheroids under slip boundary conditions and obtained numerial results for a scaling factor as a function of $\tau$, the ratio of the shorter semiaxes and the longer semiaxis of the spheroid. For the sphere and prolate ellipsoid shown here, the values of $\tau$ are $1$ and $0.3939$, respectively. According to the values tabulated by Hu and Zwanzig, the sphere friction coefficient approaches $0$, while the ellipsoidal friction coefficient must be scaled by a factor of $0.880$ to account for the reduced interfacial friction under ``slip'' boundary conditions.
252
253 Another useful quantity is the friction factor $f$, or the friction coefficient of a non-spherical shape divided by the friction coefficient of a sphere of equivalent volume. The nanoparticle and ellipsoidal nanorod dimensions used here were specifically chosen to create structures with equal volumes.
254
255 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
256 % **TESTS AND APPLICATIONS**
257 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
258 \section{Tests and Applications}
259
260 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
261 % THERMAL CONDUCTIVITIES
262 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
263 \subsection{Thermal conductivities}
264
265 Calculated values for the thermal conductivity of a 40 \AA$~$ radius gold nanoparticle (15707 atoms) at different kinetic energy flux values are shown in Table \ref{table:goldconductivity}. For these calculations, the hot and cold slabs were excluded from the linear regression of the thermal gradient. The measured linear slope $\langle dT / dr \rangle$ is linearly dependent on the applied kinetic energy flux $J_r$. Calculated thermal conductivity values compare well with previous bulk QSC values of 1.08 -- 1.26 W m$^{-1}$ K$^{-1}$\cite{Kuang2010}, though still significantly lower than the experimental value of 320 W m$^{-1}$ K$^{-1}$, as the QSC force field neglects significant electronic contributions to heat conduction. The small increase relative to previous simulated bulk values is due to a slight increase in gold density -- as expected, an increase in density results in higher thermal conductivity values. The increased density is a result of nanoparticle curvature relative to an infinite bulk slab, which introduces surface tension that increases ambient density.
266
267 \begin{longtable}{ccc}
268 \caption{Calculated thermal conductivity of a crystalline gold nanoparticle of radius 40 \AA. Calculations were performed at 300 K and ambient density. Gold-gold interactions are described by the Quantum Sutton-Chen potential.}
269 \\ \hline \hline
270 {$J_r$} & {$\langle dT / dr \rangle$} & {$\boldsymbol \lambda$}\\
271 {\small(kcal fs$^{-1}$ \AA$^{-2}$)} & {\small(K \AA$^{-1}$)} & {\small(W m$^{-1}$ K$^{-1}$)}\\ \hline
272 3.25$\times 10^{-6}$ & 0.11435 & 1.9753 \\
273 6.50$\times 10^{-6}$ & 0.2324 & 1.9438 \\
274 1.30$\times 10^{-5}$ & 0.44922 & 2.0113 \\
275 3.25$\times 10^{-5}$ & 1.1802 & 1.9139 \\
276 6.50$\times 10^{-5}$ & 2.339 & 1.9314
277 \\ \hline \hline
278 \label{table:goldconductivity}
279 \end{longtable}
280
281 Calculated values for the thermal conductivity of a cluster of 6912 SPC/E water molecules are shown in Table \ref{table:waterconductivity}.
282
283 \begin{longtable}{ccc}
284 \caption{Calculated thermal conductivity of a cluster of 6912 SPC/E water molecules. Calculations were performed at 300 K and ambient density.}
285 \\ \hline \hline
286 {$J_r$} & {$\langle dT / dr \rangle$} & {$\boldsymbol \lambda$}\\
287 {\small(kcal fs$^{-1}$ \AA$^{-2}$)} & {\small(K \AA$^{-1}$)} & {\small(W m$^{-1}$ K$^{-1}$)}\\ \hline
288 1.00$\times 10^{-5}$ & 0.38683 & 1.79665486\\
289 3.00$\times 10^{-5}$ & 1.1643 & 1.79077557\\
290 6.00$\times 10^{-5}$ & 2.2262 & 1.87314707\\
291 \hline \hline
292 \label{table:waterconductivity}
293 \end{longtable}
294
295 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
296 % INTERFACIAL THERMAL CONDUCTANCE
297 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
298 \subsection{Interfacial thermal conductance}
299
300 \begin{longtable}{ccc}
301 \caption{Caption.}
302 \\ \hline \hline
303 {Nanoparticle Radius} & {$\boldsymbol \lambda$}\\
304 {\small(\AA)} & {\small(W m$^{-1}$ K$^{-1}$)}\\ \hline
305 20 & 59.66\\
306 30 & 57.88\\
307 40 & \\
308 $\infty$ & \\
309 \hline \hline
310 \label{table:waterconductivity}
311 \end{longtable}
312
313 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
314 % INTERFACIAL FRICTION
315 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
316 \subsection{Interfacial friction}
317
318 Table \ref{table:interfacialfrictionstick} shows the calculated interfacial friction coefficients $\kappa$ for spherical gold nanoparticles and a prolate ellipsoidal gold nanorod in TraPPE-UA hexane. An angular momentum flux was applied between the A and B regions defined as the gold structure and hexane molecules beyond a certain radius, respectively. The resulting angular velocity gradient resulted in the gold structure rotating about the prescribed axis within the solvent.
319
320 \begin{longtable}{lccccc}
321 \caption{Calculated ``stick'' interfacial friction coefficients ($\kappa$) and friction factors ($f$) of gold nanostructures solvated in TraPPE-UA hexane at 230 K. The ellipsoid is oriented with the long axis along the $z$ direction.}
322 \\ \hline \hline
323 {Structure} & {Axis of Rotation} & {$\kappa_{VSS}$} & {$\kappa_{calc}$} & {$f_{VSS}$} & {$f_{calc}$}\\
324 {} & {} & {\small($10^{-29}$ Pa s m$^{3}$)} & {\small($10^{-29}$ Pa s m$^{3}$)} & {} & {}\\ \hline
325 {Sphere (r = 20 \AA)} & {$x = y = z$} & {} & {6.13239} & {1} & {1}\\
326 {Sphere (r = 30 \AA)} & {$x = y = z$} & {} & {20.6968} & {1} & {1}\\
327 {Sphere (r = 40 \AA)} & {$x = y = z$} & {} & {49.0591} & {1} & {1}\\
328 {Prolate Ellipsoid} & {$x = y$} & {} & {8.22846} & {} & {1.92477}\\
329 {Prolate Ellipsoid} & {$z$} & {} & {3.28634} & {} & {0.768726}\\
330 \hline \hline
331 \label{table:interfacialfrictionstick}
332 \end{longtable}
333
334 % \begin{longtable}{lccc}
335 % \caption{Calculated ``slip'' interfacial friction coefficients ($\kappa$) and friction factors ($f$) of gold nanostructures solvated in TraPPE-UA hexane. The ellipsoid is oriented with the long axis along the $z$ direction.}
336 % \\ \hline \hline
337 % {Structure} & {Axis of rotation} & {$\kappa_{VSS}$} & {$\kappa_{calc}$}\\
338 % {} & {} & {\small($10^{-29}$ Pa s m$^{3}$)} & {\small($10^{-29}$ Pa s m$^{3}$)}\\ \hline
339 % {Sphere} & {$x = y = z$} & {} & {0}\\
340 % {Prolate Ellipsoid} & {$x = y$} & {} & {0}\\
341 % {Prolate Ellipsoid} & {$z$} & {} & {7.9295392}\\ \hline \hline
342 % \label{table:interfacialfrictionslip}
343 % \end{longtable}
344
345 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
346 % **DISCUSSION**
347 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
348 \section{Discussion}
349
350
351 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
352 % **ACKNOWLEDGMENTS**
353 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
354 \section*{Acknowledgments}
355
356 We gratefully acknowledge conversations with Dr. Shenyu Kuang. Support for
357 this project was provided by the National Science Foundation under grant
358 CHE-0848243. Computational time was provided by the Center for Research
359 Computing (CRC) at the University of Notre Dame.
360
361 \newpage
362
363 \bibliography{nonperiodicVSS}
364
365 \end{doublespace}
366 \end{document}

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