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22 \documentclass[%
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25 preprint,%
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31 \usepackage{graphicx}% Include figure files
32 \usepackage{dcolumn}% Align table columns on decimal point
33 %\usepackage{bm}% bold math
34 \usepackage{times}
35 \usepackage[version=3]{mhchem} % this is a great package for formatting chemical reactions
36 \usepackage{url}
37
38 \begin{document}
39
40 \title{Friction at Water / Ice-I$_\mathrm{h}$ interfaces: Do the
41 Facets of Ice Have Different Hydrophilicity?}
42
43 \author{Patrick B. Louden}
44
45 \author{J. Daniel Gezelter}
46 \email{gezelter@nd.edu.}
47 \affiliation{Department of Chemistry and Biochemistry, University
48 of Notre Dame, Notre Dame, IN 46556}
49
50 \date{\today}
51
52 \begin{abstract}
53 Abstract abstract abstract...
54 \end{abstract}
55
56 \maketitle
57
58 \section{Introduction}
59 Explain a little bit about ice Ih, point group stuff.
60
61 Mention previous work done / on going work by other people. Haymet and Rick
62 seem to be investigating how the interfaces is perturbed by the presence of
63 ions. This is the conlcusion of a recent publication of the basal and
64 prismatic facets of ice Ih, now presenting the pyramidal and secondary
65 prism facets under shear.
66
67 \section{Methodology}
68
69 \begin{figure}
70 \includegraphics[width=\linewidth]{SP_comic_strip}
71 \caption{\label{fig:spComic} The secondary prism interface with a shear
72 rate of 3.5 ms\textsuperscript{-1}. Lower panel: the local tetrahedral order
73 parameter, $q(z)$, (black circles) and the hyperbolic tangent fit (red line).
74 Middle panel: the imposed thermal gradient required to maintain a fixed
75 interfacial temperature. Upper panel: the transverse velocity gradient that
76 develops in response to an imposed momentum flux. The vertical dotted lines
77 indicate the locations of the midpoints of the two interfaces.}
78 \end{figure}
79
80 \begin{figure}
81 \includegraphics[width=\linewidth]{Pyr_comic_strip}
82 \caption{\label{fig:pyrComic} The pyramidal interface with a shear rate of 3.8 \
83 ms\textsuperscript{-1}. Panel descriptions match those in figure \ref{fig:spComic}.}
84 \end{figure}
85
86 \subsection{Pyramidal and secondary prism system construction}
87
88 The construction of the pyramidal and secondary prism systems follows that of
89 the basal and prismatic systems presented elsewhere\cite{Louden13}, however
90 the ice crystals and water boxes were equilibrated and combined at 50K
91 instead of 225K. The ice / water systems generated were then equilibrated
92 to 225K. The resulting pyramidal system was
93 $37.47 \times 29.50 \times 93.02$ \AA\ with 1216
94 SPC/E molecules in the ice slab, and 2203 in the liquid phase. The secondary
95 prism system generated was $71.87 \times 31.66 \times 161.55$ \AA\ with 3840
96 SPC/E molecules in the ice slab and 8176 molecules in the liquid phase.
97
98 \subsection{Computational details}
99 % Do we need to justify the sims at 225K?
100 % No crystal growth or shrinkage over 2 successive 1 ns NVT simulations for
101 % either the pyramidal or sec. prism ice/water systems.
102
103 The computational details performed here were equivalent to those reported
104 in the previous publication\cite{Louden13}. The only changes made to the
105 previously reported procedure were the following. VSS-RNEMD moves were
106 attempted every 2 fs instead of every 50 fs. This was done to minimize
107 the magnitude of each individual VSS-RNEMD perturbation to the system.
108
109 All pyramidal simulations were performed under the NVT ensamble except those
110 during which statistics were accumulated for the orientational correlation
111 function, which were performed under the NVE ensamble. All secondary prism
112 simulations were performed under the NVE ensamble.
113
114 \section{Results and discussion}
115 \subsection{Interfacial width}
116 In the literature there is good agreement that between the solid ice and
117 the bulk water, there exists a region of 'slush-like' water molecules.
118 In this region, the water molecules are structurely distinguishable and
119 behave differently than those of the solid ice or the bulk water.
120 The characteristics of this region have been defined by both structural
121 and dynamic properties; and its width has been measured by the change of these
122 properties from their bulk liquid values to those of the solid ice.
123 Examples of these properties include the density, the diffusion constant, and
124 the translational order profile. \cite{Bryk02,Karim90,Gay02,Hayward01,Hayward02,Karim88}
125
126 Since the VSS-RNEMD moves used to impose the thermal and velocity gradients
127 perturb the momenta of the water molecules in
128 the systems, parameters that depend on translational motion may give
129 faulty results. A stuructural parameter will be less effected by the
130 VSS-RNEMD perturbations to the system. Due to this, we have used the
131 local order tetrahedral parameter to quantify the width of the interface,
132 which was originally described by Kumar\cite{Kumar09} and
133 Errington\cite{Errington01} and explained in our
134 previous publication\cite{Louden13} in relation to an ice/water system.
135
136 Paragraph and eq. for tetrahedrality here.
137
138 To determine the width of the interfaces, each of the systems were
139 divided into 100 artificial bins along the
140 $z$-dimension, and the local tetrahedral order parameter, $q(z)$, was
141 time-averaged for each of the bins, resulting in a tetrahedrality profile of
142 the system. These profiles are shown across the $z$-dimension of the systems
143 in panel $a$ of Figures \ref{fig:spComic}
144 and \ref{fig:pyrComic} (black circles). The $q(z)$ function has a range of
145 (0,1), where a larger value indicates a more tetrahedral environment.
146 The $q(z)$ for the bulk liquid was found to be $\approx $ 0.77, while values of
147 $\approx $0.92 were more common for the ice. The tetrahedrality profiles were
148 fit using a hyperbolic tangent\cite{Louden13} designed to smoothly fit the
149 bulk to ice
150 transition, while accounting for the thermal influence on the profile by the
151 kinetic energy exchanges of the VSS-RNEMD moves. In panels $b$ and $c$, the
152 imposed thermal and velocity gradients can be seen. The verticle dotted
153 lines traversing all three panels indicate the midpoints of the interface
154 as determined by the hyperbolic tangent fit of the tetrahedrality profiles.
155
156 From fitting the tetrahedrality profiles for each of the 0.5 nanosecond
157 simulations (panel c of Figures \ref{fig:spComic} and \ref{fig:pyrComic})
158 by Eq. 6\cite{Louden13},we find the interfacial width to be
159 $3.2 \pm 0.2$ and $3.2 \pm 0.2$ \AA\ for the control system with no applied
160 momentum flux for both the pyramidal and secondary prism systems.
161 Over the range of shear rates investigated,
162 $0.6 \pm 0.2 \mathrm{ms}^{-1} \rightarrow 5.6 \pm 0.4 \mathrm{ms}^{-1}$ for
163 the pyramidal system and $0.9 \pm 0.3 \mathrm{ms}^{-1} \rightarrow 5.4 \pm 0.1
164 \mathrm{ms}^{-1}$ for the secondary prism, we found no significant change in
165 the interfacial width. This follows our previous findings of the basal and
166 prismatic systems, in which the interfacial width was invarient of the
167 shear rate of the ice. The interfacial width of the quiescent basal and
168 prismatic systems was found to be $3.2 \pm 0.4$ \AA\ and $3.6 \pm 0.2$ \AA\
169 respectively. Over the range of shear rates investigated, $0.6 \pm 0.3
170 \mathrm{ms}^{-1} \rightarrow 5.3 \pm 0.5 \mathrm{ms}^{-1}$ for the basal
171 system and $0.9 \pm 0.2 \mathrm{ms}^{-1} \rightarrow 4.5 \pm 0.1
172 \mathrm{ms}^{-1}$ for the prismatic.
173
174 These results indicate that the surface structure of the exposed ice crystal
175 has little to no effect on how far into the bulk the ice-like structural
176 ordering is. Also, it appears that the interface is not structurally effected
177 by shearing the ice through water.
178
179
180 \subsection{Orientational dynamics}
181 %Should we include the math here?
182 The orientational time correlation function,
183 \begin{equation}\label{C(t)1}
184 C_{2}(t)=\langle P_{2}(\mathbf{u}(0)\cdot \mathbf{u}(t))\rangle,
185 \end{equation}
186 helps indicate the local environment around the water molecules. The function
187 begins with an initial value of unity, and decays to zero as the water molecule
188 loses memory of its former orientation. Observing the rate at which this decay
189 occurs can provide insight to the mechanism and timescales for the relaxation.
190 In eq. \eqref{C(t)1}, $P_{2}$ is the second-order Legendre polynomial, and
191 $\mathbf{u}$ is the the bisecting HOH vector. The angle brackets indicate
192 an ensemble average over all the water molecules in a given spatial region.
193
194 To investigate the dynamics of the water molecules across the interface, the
195 systems were divided in the $z$-dimension into bins, each $\approx$ 3 \AA\
196 wide, and \eqref{C(t)1} was computed for each of the bins. A water
197 molecule was allocated to a particular bin if it was initially in the bin
198 at time zero. To compute \eqref{C(t)1}, each 0.5 ns simulation was followed
199 by an additional 200 ps microcanonical (NVE) simulation during which the
200 position and orientations of each molecule were recorded every 0.1 ps.
201
202 The data obtained for each bin was then fit to a triexponential decay given by
203 \begin{equation}\label{C(t)_fit}
204 C_{2}(t) \approx a e^{-t/\tau_\mathrm{short}} + b e^{-t/\tau_\mathrm{middle}} +\
205 c
206 e^{-t/\tau_\mathrm{long}} + (1-a-b-c)
207 \end{equation}
208 where $\tau_{short}$ corresponds to the librational motion of the water
209 molecules, $\tau_{middle}$ corresponds to jumps between the breaking and
210 making of hydrogen bonds, and $\tau_{long}$ corresponds to the translational
211 motion of the water molecules. The last term in \eqref{C(t)_fit} accounts
212 for the water molecules trapped in the ice which do not experience any
213 long-time orientational decay.
214
215 In Figures \ref{fig:PyrOrient} and \ref{fig:SPorient} we see the $z$-coordinate
216 profiles for the three decay constants, $\tau_{short}$ (panel a),
217 $\tau_{middle}$ (panel b),
218 and $\tau_{long}$ (panel c) for the pyramidal and secondary prismatic systems
219 respectively. The control experiments (no shear) are shown in black, and
220 an experiment with an imposed momentum flux is shown in red. The vertical
221 dotted line traversing all three panels denotes the midpoint of the
222 interface as determined by the local tetrahedral order parameter fitting.
223 In the liquid regions of both systems, we see that $\tau_{middle}$ and
224 $\tau_{long}$ have approximately consistent values of $3-6$ ps and $30-40$ ps,
225 resepctively, and increase in value as we approach the interface. Conversely,
226 in panel a, we see that $\tau_{short}$ decreases from the liquid value
227 of $72-76$ fs as we approach the interface. We believe this speed up is due to
228 the constrained motion of librations closer to the interface. Both the
229 approximate values for the decays and relative trends match those reported
230 previously for the basal and prismatic interfaces.
231
232 As done previously, we have attempted to quantify the distance, $d_{pyramidal}$
233 and $d_{secondary prism}$, from the
234 interface that the deviations from the bulk liquid values begin. This was done
235 by fitting the orientational decay constant $z$-profiles by
236 \begin{equation}\label{tauFit}
237 \tau(z)\approx\tau_{liquid}+(\tau_{solid}-\tau_{liquid})e^{-(z-z_{wall})/d}
238 \end{equation}
239 where $\tau_{liquid}$ and $\tau_{solid}$ are the liquid and projected solid
240 values of the decay constants, $z_{wall}$ is the location of the interface,
241 and $d$ is the displacement from the interface at which these deviations
242 occur. The values for $d_{pyramidal}$ and $d_{secondary prismatic}$ were
243 determined
244 for each of the decay constants, and then averaged for better statistics
245 ($\tau_{middle}$ was ommitted for secondary prism). For the pyramidal system,
246 $d_{pyramidal}$ was found to be 2.7 \AA\ for both the control and the sheared
247 system. We found $d_{secondary prismatic}$ to be slightly larger than
248 $d_{pyramidal}$ for both the control and with an applied shear, with
249 displacements of $4$ \AA\ for the control system and $3$ \AA\ for the
250 experiment with the imposed momentum flux. These values are consistent with
251 those found for the basal ($d_{basal}\approx2.9$ \AA\ ) and prismatic
252 ($d_{prismatic}\approx3.5$ \AA\ ) systems.
253
254 \subsection{Coefficient of friction of the interfaces}
255 While investigating the kinetic coefficient of friction for the larger
256 prismatic system, there was found to be a dependence for $\mu_k$
257 on the temperature of the liquid water in the system. We believe this
258 dependence
259 arrises from the sharp discontinuity of the viscosity for the SPC/E model
260 at temperatures approaching 200 K\cite{kuang12}. Due to this, we propose
261 a weighting to the structural interfacial parameter, $\kappa$ by the
262 viscosity at $225$ K, the temperature of the interface. $\kappa$ is
263 traditionally defined as
264 \begin{equation}\label{kappa}
265 \kappa = \eta/\delta
266 \end{equation}
267 where $\eta$ is the viscosity and $\delta$ is the slip length.
268 In our ice/water shearing simulations, the system has reached a steady state
269 when the applied force,
270
271 \begin{equation}
272 f_{applied} = \mathbf{j}_z(\mathbf{p})L_x L_y
273 \end{equation}
274 is equal to the frictional force resisting the motion of the ice block
275 \begin{equation}
276 f_{friction} = \frac{\eta \mathbf{v} L_x L_y}{\delta}
277 \end{equation}
278 where $\mathbf{v}$ is the relative velocity of the liquid from the ice.
279 When this condition is met, we are able to solve the resulting expression to
280 obtain,
281 \begin{equation}\label{force_equality}
282 \frac{\eta}{\delta} = \frac{\mathbf{j}_z(\mathbf{p})}{\mathbf{v}}
283 \end{equation}
284 From \eqref{kappa}, \eqref{force_equality} becomes
285 \begin{equation}
286 \kappa = \frac{\mathbf{j}_z(\mathbf{p})}{\mathbf{v}}
287 \end{equation}
288 which we will multiply by a viscosity weighting term to reach
289 \begin{equation} \label{kappa2}
290 \kappa = \frac{\mathbf{j}_z(\mathbf{p})}{\mathbf{v}} \frac{\eta(225)}{\eta(T)}
291 \end{equation}
292 Assuming linear response theory is valid, an expression for ($\eta$) can
293 be found from the imposed momentum flux and the measured velocity gradient.
294 \begin{equation}\label{eta_eq}
295 \eta = \frac{\mathbf{j}_z(\mathbf{p})}{\frac{\partial v_x}{\partial z}}
296 \end{equation}
297 Substituting eq \eqref{eta_eq} into eq \eqref{kappa2} we arrive at
298 \begin{equation}
299 \kappa = \frac{\frac{\partial v_x}{\partial z}}{\mathbf{v}}\eta(225)
300 \end{equation}
301
302 \begin{table}[h]
303 \centering
304 \caption{$\kappa$ values for the basal, prismatic, pyramidal, and secondary prismatic facets of Ice-I$_\mathrm{h}$}
305 \label{tab:kappa}
306 \begin{tabular}{|ccc|} \hline
307 & \multicolumn{2}{c|}{$\kappa_{Drag direction}$} \\
308 Interface & $\kappa_{x}$ & $\kappa_{y}$ \\ \hline
309 basal & $0.00059 \pm 0.00003$ & $0.00065 \pm 0.00008$ \\
310 prismatic & $0.00030 \pm 0.00002$ & $0.00030 \pm 0.00001$ \\
311 pyramidal & $0.00058 \pm 0.00004$ & $0.00061 \pm 0.00005$ \\
312 secondary prism & $0.00035 \pm 0.00001$ & $0.00033 \pm 0.00002$ \\ \hline
313 \end{tabular}
314 \end{table}
315
316
317 To obtain the value of $\eta(225)$ for the SPC/E model, a $31.09 \times 29.38
318 \times 124.39$ \AA\ box with 3744 water molecules was equilibrated to 225K,
319 and 5 unique shearing experiments were performed. Each experiment was
320 conducted in the microcanonical ensemble (NVE) and were 5 ns in
321 length. The VSS were attempted every timestep, which was set to 2 fs.
322 For our SPC/E systems, we found $\eta(225)$ to be $0.0148 \pm 0.0007 Pa s$,
323 roughly ten times larger than the value found for 280 K SPC/E water by
324 Kuang\cite{kuang12}.
325
326
327 \begin{table}[h]
328 \centering
329 \caption{Solid-liquid friction coefficients (measured in amu~fs\textsuperscript\
330 {-1}). \\
331 \textsuperscript{a} See ref. \onlinecite{Louden13}. }
332 \label{tab:lambda}
333 \begin{tabular}{|ccc|} \hline
334 & \multicolumn{2}{c|}{Drag direction} \\
335 Interface & $x$ & $y$ \\ \hline
336 basal\textsuperscript{a} & $0.08 \pm 0.02$ & $0.09 \pm 0.03$ \\
337 prismatic (T = 225)\textsuperscript{a} & $0.037 \pm 0.008$ & $0.04 \pm 0.01$ \\
338 prismatic (T = 230) & $0.10 \pm 0.01$ & $0.070 \pm 0.006$\\
339 pyramidal & $0.13 \pm 0.03$ & $0.14 \pm 0.03$ \\
340 secondary prism & $0.13 \pm 0.02$ & $0.12 \pm 0.03$ \\ \hline
341 \end{tabular}
342 \end{table}
343
344
345 \begin{figure}
346 \includegraphics[width=\linewidth]{Pyr-orient}
347 \caption{\label{fig:PyrOrient} The three decay constants of the
348 orientational time correlation function, $C_2(t)$, for water as a function
349 of distance from the center of the ice slab. The vertical dashed line
350 indicates the edge of the pyramidal ice slab determined by the local order
351 tetrahedral parameter. The control (black circles) and sheared (red squares)
352 experiments were fit by a shifted exponential decay (Eq. 9\cite{Louden13})
353 shown by the black and red lines respectively. The upper two panels show that
354 translational and hydrogen bond making and breaking events slow down
355 through the interface while approaching the ice slab. The bottom most panel
356 shows the librational motion of the water molecules speeding up approaching
357 the ice block due to the confined region of space allowed for the molecules
358 to move in.}
359 \end{figure}
360
361 \begin{figure}
362 \includegraphics[width=\linewidth]{SP-orient-less}
363 \caption{\label{fig:SPorient} Decay constants for $C_2(t)$ at the secondary
364 prism face. Panel descriptions match those in \ref{fig:PyrOrient}.}
365 \end{figure}
366
367
368
369 \section{Conclusion}
370 Conclude conclude conclude...
371
372
373 \begin{acknowledgments}
374 Support for this project was provided by the National
375 Science Foundation under grant CHE-1362211. Computational time was
376 provided by the Center for Research Computing (CRC) at the
377 University of Notre Dame.
378 \end{acknowledgments}
379
380 \newpage
381
382 \bibliography{iceWater}
383
384 \end{document}