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Revision 4230 by plouden, Fri Dec 5 00:25:41 2014 UTC vs.
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# Line 76 | Line 76 | simulations, Samadashvili has recently shown that when
76   another\cite{Casassa91, Sukhorukov13, Pritchard12, Lishman13} or the shearing
77   of ice through water\cite{Cuffey99, Bell08}. Using molecular dynamics
78   simulations, Samadashvili has recently shown that when two smooth ice slabs
79 < slide past one another, a stable liquid-like layer develops between them.To
80 < fundamentally understand these processes an understanding of the ice/water
81 < interfaces is needed.    
79 > slide past one another, a stable liquid-like layer develops between
80 > them\cite{Samadashvili13}. To fundamentally understand these processes, a
81 > molecular understanding of the ice/water interfaces is needed.    
82  
83   Investigation of the ice/water interface is also crucial in understanding
84 < the fundamental processes of nucleation, crystal
84 > processes such as nucleation, crystal
85   growth,\cite{Han92, Granasy95, Vanfleet95} and crystal
86   melting\cite{Weber83, Han92, Sakai96, Sakai96B}. Insight gained to these
87   properties can also be applied to biological systems of interest, such as
# Line 97 | Line 97 | TIP4P\cite{Jorgensen85}, TIP4P/2005\cite{Abascal05},
97   systems. There has been extensive work parameterizing models for liquid water,
98   such as the SPC\cite{Berendsen81}, SPC/E\cite{Berendsen87},
99   TIP4P\cite{Jorgensen85}, TIP4P/2005\cite{Abascal05},
100 < ($\dots$), and more recently to improve these models for simulating
100 > ($\dots$), and more recently, models for simulating
101   the solid phases of water, such as the TIP4P/Ice\cite{Abascal05b} model. The
102   melting point of various crystal structures of ice have been calculated for
103   many of these models
104   (SPC\cite{Karim90,Abascal07}, SPC/E\cite{Baez95,Arbuckle02,Gay02,Bryk02,Bryk04b,Sanz04b,Gernandez06,Abascal07,Vrbka07}, TIP4P\cite{Karim88,Gao00,Sanz04,Sanz04b,Koyama04,Wang05,Fernandez06,Abascal07}, TIP5P\cite{Sanz04,Koyama04,Wang05,Fernandez06,Abascal07}),
105   and the partial or complete phase diagram for the model has been determined
106 < (SPC/E\cite{Baeaz95,Bryk04b,Sanz04b}, TIP4P\cite{Sanz04,Sanz04b,Koyama04}, TIP5P\cite{Sanz04,Koyama04}).
107 < Knowing the melting point for these models has allowed for the investigation
108 < of ice/water interfaces.
106 > (SPC/E\cite{Baez95,Bryk04b,Sanz04b}, TIP4P\cite{Sanz04,Sanz04b,Koyama04}, TIP5P\cite{Sanz04,Koyama04}).
107 > Knowing the behavior and melting point for these models has enabled an initial
108 > investigation of ice/water interfaces.
109  
110   The Ice-I$_\mathrm{h}$/water quiescent interface has been extensively studied
111   over the past 30 years by theory and experiment. Haymet \emph{et al.} have
# Line 115 | Line 115 | melting.\cite{Bryk04,Smith05,Wilson08,Wilson10} Nada a
115   recent years, Haymet has focused on investigating the effects cations and
116   anions have on crystal nucleaion and
117   melting.\cite{Bryk04,Smith05,Wilson08,Wilson10} Nada and Furukawa have studied
118 < the the basal- and prismatic-water interface width\cite{Nada95}, surface
119 < restructuring at temperatures approaching the melting point\cite{Nada00},
120 < and the mechanism of ice growth inhibition by antifreeze
118 > the the basal- and prismatic-water interface width\cite{Nada95}, crystal
119 > surface restructuring at temperatures approaching the melting
120 > point\cite{Nada00}, and the mechanism of ice growth inhibition by antifreeze
121   proteins\cite{Nada08,Nada11,Nada12}. Nada has developed a six-site water model
122   for ice/water interfaces near the melting point\cite{Nada03}, and studied the
123   dependence of crystal growth shape on applied pressure\cite{Nada11b}. Using
124   this model, Nada and Furukawa have established differential
125   growth rates for the basal, prismatic, and secondary prismatic facets of
126 < Ice-I$_\mathrm{h}$ and found they were due to a reordering of the hydrogen
126 > Ice-I$_\mathrm{h}$ and found their origins due to a reordering of the hydrogen
127   bond network in water near the interface\cite{Nada05}. While the work
128   described so far has mainly focused on bulk water on ice, there is significant
129   interest in thin films of water on ice surfaces as well.  
# Line 190 | Line 190 | $37.47 \times 29.50 \times 93.02$ \AA\ with 1216
190   instead of 225K. The ice / water systems generated were then equilibrated
191   to 225K. The resulting pyramidal system was
192   $37.47 \times 29.50 \times 93.02$ \AA\ with 1216
193 < SPC/E\cite{Berendsen97} molecules in the ice slab, and 2203 in the liquid
193 > SPC/E\cite{Berendsen87} molecules in the ice slab, and 2203 in the liquid
194   phase. The secondary
195   prismatic system generated was $71.87 \times 31.66 \times 161.55$ \AA\ with
196   3840
# Line 234 | Line 234 | Errington\cite{Errington01}, and used by Bryk and Haym
234   local tetrahedral order parameter to quantify the width of the interface,
235   which was originally described by Kumar\cite{Kumar09} and
236   Errington\cite{Errington01}, and used by Bryk and Haymet in a previous study
237 < of ice/water interfaces.\cite{Bryk2004b}
237 > of ice/water interfaces.\cite{Bryk04b}
238  
239   The local tetrahedral order parameter, $q(z)$, is given by
240   \begin{equation}
# Line 266 | Line 266 | kinetic energy exchanges of the VSS-RNEMD moves. In pa
266   bulk to ice
267   transition, while accounting for the thermal influence on the profile by the
268   kinetic energy exchanges of the VSS-RNEMD moves. In panels $b$ and $c$, the
269 < resulting thermal and velocity gradients from the imposed kinetic energy and
269 > resulting thermal and velocity gradients from an imposed kinetic energy and
270   momentum fluxes can be seen. The verticle dotted
271   lines traversing all three panels indicate the midpoints of the interface
272   as determined by the hyperbolic tangent fit of the tetrahedrality profiles.
273  
274   From fitting the tetrahedrality profiles for each of the 0.5 nanosecond
275 < simulations (panel c of Figures \ref{fig:spComic} and \ref{fig:pyrComic})
276 < by Eq. 6\cite{Louden13},we find the interfacial width to be
275 > simulations (panel c of Figures \ref{fig:pyrComic} and \ref{fig:spComic})
276 > by eq. 6\cite{Louden13},we find the interfacial width to be
277   3.2 $\pm$ 0.2 and 3.2 $\pm$ 0.2 \AA\ for the control system with no applied
278   momentum flux for both the pyramidal and secondary prismatic systems.
279   Over the range of shear rates investigated,
# Line 312 | Line 312 | systems were divided in the $z$-dimension into bins, e
312  
313   To investigate the dynamics of the water molecules across the interface, the
314   systems were divided in the $z$-dimension into bins, each $\approx$ 3 \AA\
315 < wide, and \eqref{C(t)1} was computed for each of the bins. A water
315 > wide, and eq. \eqref{C(t)1} was computed for each of the bins. A water
316   molecule was allocated to a particular bin if it was initially in the bin
317 < at time zero. To compute \eqref{C(t)1}, each 0.5 ns simulation was followed
318 < by an additional 200 ps NVE simulation during which the
317 > at time zero. To compute eq. \eqref{C(t)1}, each 0.5 ns simulation was
318 > followed by an additional 200 ps NVE simulation during which the
319   position and orientations of each molecule were recorded every 0.1 ps.
320  
321   The data obtained for each bin was then fit to a triexponential decay given by
# Line 377 | Line 377 | arrises from the sharp discontinuity of the viscosity
377   on the temperature of the liquid water in the system. We believe this
378   dependence
379   arrises from the sharp discontinuity of the viscosity for the SPC/E model
380 < at temperatures approaching 200 K\cite{kuang12}. Due to this, we propose
380 > at temperatures approaching 200 K\cite{Kuang12}. Due to this, we propose
381   a weighting to the interfacial friction coefficient, $\kappa$ by the
382   shear viscosity of the fluid at 225 K. The interfacial friction coefficient
383   relates the shear stress with the relative velocity of the fluid normal to the
# Line 413 | Line 413 | roughly ten times larger than the value found for 280
413   length. The VSS were attempted every timestep, which was set to 2 fs.
414   For our SPC/E systems, we found $\eta(225)$  to be 0.0148 $\pm$ 0.0007 Pa s,
415   roughly ten times larger than the value found for 280 K SPC/E bulk water by
416 < Kuang\cite{kuang12}.
416 > Kuang\cite{Kuang12}.
417  
418   The interfacial friction coefficient, $\kappa$, can equivalently be expressed
419   as the ratio of the viscosity of the fluid to the slip length, $\delta$, which
# Line 430 | Line 430 | found for the four crystal facets of Ice-I$_\mathrm{h}
430   'slipperiness' of the interface can be taken as an indication of how
431   hydrophobic or hydrophilic the interface is. The calculated $\kappa$ values
432   found for the four crystal facets of Ice-I$_\mathrm{h}$ investigated are shown
433 < in Table \ref{tab:kapa}. The basal and pyramidal facets were found to have
433 > in Table \ref{tab:kappa}. The basal and pyramidal facets were found to have
434   similar values of $\kappa \approx$ 0.0006
435   (amu \AA\textsuperscript{-2} fs\textsuperscript{-1}), while values of
436   $\kappa \approx$ 0.0003 (amu \AA\textsuperscript{-2} fs\textsuperscript{-1})
437   were found for the prismatic and secondary prismatic systems.
438   These results indicate that the basal and pyramidal facets are
439   more hydrophilic than the prismatic and secondary prismatic facets.
440 %This indicates something about the similarity between the two facets that
441 %share similar values...
442 %Maybe find values for kappa for other materials to compare against?
440  
441 < %\begin{table}[h]
442 < %\centering
443 < %\caption{$\kappa$ values for the basal, prismatic, pyramidal, and secondary    \
444 < %prismatic facets of Ice-I$_\mathrm{h}$}
445 < %\label{tab:kappa}
446 < %\begin{tabular}{|ccc|}  \hline
447 < %           & \multicolumn{2}{c|}{$\kappa_{Drag direction}$ (amu \AA\textsuperscript{-2} fs\textsuperscript{-1})} \\
448 < % Interface & $\kappa_{x}$     & $\kappa_{y}$   \\ \hline
449 < %     basal & $0.00059 \pm 0.00003$ & $0.00065 \pm 0.00008$ \\
450 < % prismatic & $0.00030 \pm 0.00002$ & $0.00030 \pm 0.00001$ \\
451 < % pyramidal & $0.00058 \pm 0.00004$ & $0.00061 \pm 0.00005$ \\
452 < % secondary prismatic & $0.00035 \pm 0.00001$ & $0.00033 \pm 0.00002$ \\ \hline
453 < %\end{tabular}
454 < %\end{table}
441 > \subsection{Dynamic water contact angle}
442 > The hydrophobicity or hydrophilicity of a surface can be described by the
443 > extent a droplet of water wets the surface. The contact angle formed between
444 > the solid and the liquid, $\theta$, which relates the free energies of the
445 > three interfaces involved, is given by Young's equation.
446 > \begin{equation}\label{young}
447 > \cos\theta = (\gamma_{sv} - \gamma_{sl})/\gamma_{lv}
448 > \end{equation}
449 > Here $\gamma_{sv}$, $\gamma_{sl}$, and $\gamma_{lv}$ are the free energies
450 > of the solid/vapor, solid/liquid, and liquid/vapor interfaces respectively.
451 > Large contact angles ($\theta$ $\gg$ 90\textsuperscript{o}) correspond to low
452 > wettability and hydrophobic surfaces, while small contact angles
453 > ($\theta$ $\ll$ 90\textsuperscript{o}) correspond to high wettability and
454 > hydrophilic surfaces. Experimentally, measurements of the contact angle
455 > of sessile drops has been used to quantify the extent of wetting on surfaces
456 > with thermally selective wetting charactaristics\cite{Tadanaga00,Liu04,Sun04},
457 > as well as nano-pillared surfaces with electrically tunable Cassie-Baxter and
458 > Wenzel states\cite{Herbertson06,Dhindsa06,Verplanck07,Ahuja08,Manukyan11}.
459 > Luzar and coworkers have done significant work modeling these transitions on
460 > nano-patterned surfaces\cite{Daub07,Daub10,Daub11,Ritchie12}, and have found
461 > the change in contact angle to be due to the external field perturbing the
462 > hydrogen bonding of the liquid/vapor interface\cite{Daub07}.
463  
464 + Here, we will calculate the contact angle of a water droplet as it spreads
465 + across each of the four ice I$_\mathrm{h}$ crystal facets in order to
466 + determine the surface's relative hydrophilicites. The ice surfaces were
467 + oriented so that the desired facet was exposed to the positive z dimension.
468 + The sizes and number of molecules in each of the surfaces is given in Table
469 + \ref{tab:ice_sheets}. Molecular restraints were applied to the center of mass
470 + of the rigid bodies to prevent surface melting, however the molecules were
471 + allowed to reorient themselves freely. The water doplet to be placed on the
472 + surface contained 2048 SPC/E molecules, which has been found to produce
473 + agreement for the Young contact angle extrapolated to an infinite drop
474 + size\cite{Daub10}. The surfaces and droplet were equilibrated to 225 K, at
475 + which time the droplet was placed  3-5 \AA\ above the surface at 5 unique
476 + locations. Each simulation was 5 ns in length and conducted in the NVE
477 + ensemble.  
478  
479  
480  
481 +
482   \begin{table}[h]
483   \centering
484   \caption{Phyiscal properties of the basal, prismatic, pyramidal, and secondary prismatic facets of Ice-I$_\mathrm{h}$}
# Line 473 | Line 493 | more hydrophilic than the prismatic and secondary pris
493   \end{tabular}
494   \end{table}
495  
476
477 %\begin{table}[h]
478 %\centering
479 %\caption{Solid-liquid friction coefficients (measured in amu~fs\textsuperscript\
480 %{-1}). \\
481 %\textsuperscript{a} See ref. \onlinecite{Louden13}. }
482 %\label{tab:lambda}
483 %\begin{tabular}{|ccc|}  \hline
484 %           & \multicolumn{2}{c|}{Drag direction} \\
485 % Interface & $x$               & $y$  \\ \hline
486 %     basal\textsuperscript{a} &  $0.08 \pm 0.02$  & $0.09 \pm 0.03$ \\
487 % prismatic (T = 225)\textsuperscript{a} & $0.037 \pm 0.008$ & $0.04 \pm 0.01$ \\
488 % prismatic (T = 230) & $0.10 \pm 0.01$ & $0.070 \pm 0.006$\\
489 % pyramidal & $0.13 \pm 0.03$   & $0.14 \pm 0.03$ \\
490 % secondary prismatic & $0.13 \pm 0.02$ & $0.12 \pm 0.03$ \\ \hline
491 %\end{tabular}
492 %\end{table}
496  
497  
498   \begin{figure}
# Line 581 | Line 584 | are more hydrophilic than the prismatic and secondary
584  
585   \bibliography{iceWater}
586  
587 + There is significant interest in the properties of ice/ice and ice/water
588 + interfaces in the geophysics community. Most commonly, the results of shearing
589 + two ice blocks past one
590 + another\cite{Casassa91, Sukhorukov13, Pritchard12, Lishman13} or the shearing
591 + of ice through water\cite{Cuffey99, Bell08}. Using molecular dynamics
592 + simulations, Samadashvili has recently shown that when two smooth ice slabs
593 + slide past one another, a stable liquid-like layer develops between
594 + them\cite{Samadashvili13}. To fundamentally understand these processes, a
595 + molecular understanding of the ice/water interfaces is needed.    
596 +
597 + Investigation of the ice/water interface is also crucial in understanding
598 + processes such as nucleation, crystal
599 + growth,\cite{Han92, Granasy95, Vanfleet95} and crystal
600 + melting\cite{Weber83, Han92, Sakai96, Sakai96B}. Insight gained to these
601 + properties can also be applied to biological systems of interest, such as
602 + the behavior of the antifreeze protein found in winter
603 + flounder,\cite{Wierzbicki07,Chapsky97} and certain terrestial
604 + arthropods.\cite{Duman:2001qy,Meister29012013} Elucidating the properties which
605 + give rise to these processes through experimental techniques can be expensive,
606 + complicated, and sometimes infeasible. However, through the use of molecular
607 + dynamics simulations much of the problems of investigating these properties
608 + are alleviated.
609 +
610 + Understanding ice/water interfaces inherently begins with the isolated
611 + systems. There has been extensive work parameterizing models for liquid water,
612 + such as the SPC\cite{Berendsen81}, SPC/E\cite{Berendsen87},
613 + TIP4P\cite{Jorgensen85}, TIP4P/2005\cite{Abascal05},
614 + ($\dots$), and more recently, models for simulating
615 + the solid phases of water, such as the TIP4P/Ice\cite{Abascal05b} model. The
616 + melting point of various crystal structures of ice have been calculated for
617 + many of these models
618 + (SPC\cite{Karim90,Abascal07}, SPC/E\cite{Baez95,Arbuckle02,Gay02,Bryk02,Bryk04b,Sanz04b,Gernandez06,Abascal07,Vrbka07}, TIP4P\cite{Karim88,Gao00,Sanz04,Sanz04b,Koyama04,Wang05,Fernandez06,Abascal07}, TIP5P\cite{Sanz04,Koyama04,Wang05,Fernandez06,Abascal07}),
619 + and the partial or complete phase diagram for the model has been determined
620 + (SPC/E\cite{Baez95,Bryk04b,Sanz04b}, TIP4P\cite{Sanz04,Sanz04b,Koyama04}, TIP5P\cite{Sanz04,Koyama04}).
621 + Knowing the behavior and melting point for these models has enabled an initial
622 + investigation of ice/water interfaces.
623 +
624 + The Ice-I$_\mathrm{h}$/water quiescent interface has been extensively studied
625 + over the past 30 years by theory and experiment. Haymet \emph{et al.} have
626 + done significant work characterizing and quantifying the width of these
627 + interfaces for the SPC,\cite{Karim90} SPC/E,\cite{Gay02,Bryk02},
628 + CF1,\cite{Hayward01,Hayward02} and TIP4P\cite{Karim88} models for water. In
629 + recent years, Haymet has focused on investigating the effects cations and
630 + anions have on crystal nucleaion and
631 + melting.\cite{Bryk04,Smith05,Wilson08,Wilson10} Nada and Furukawa have studied
632 + the the basal- and prismatic-water interface width\cite{Nada95}, crystal
633 + surface restructuring at temperatures approaching the melting
634 + point\cite{Nada00}, and the mechanism of ice growth inhibition by antifreeze
635 + proteins\cite{Nada08,Nada11,Nada12}. Nada has developed a six-site water model
636 + for ice/water interfaces near the melting point\cite{Nada03}, and studied the
637 + dependence of crystal growth shape on applied pressure\cite{Nada11b}. Using
638 + this model, Nada and Furukawa have established differential
639 + growth rates for the basal, prismatic, and secondary prismatic facets of
640 + Ice-I$_\mathrm{h}$ and found their origins due to a reordering of the hydrogen
641 + bond network in water near the interface\cite{Nada05}. While the work
642 + described so far has mainly focused on bulk water on ice, there is significant
643 + interest in thin films of water on ice surfaces as well.  
644 +
645 + It is well known that the surface of ice exhibits a premelting layer at
646 + temperatures near the melting point, often called a quasi-liquid layer (QLL).
647 + Molecular dynamics simulations of the facets of ice-I$_\mathrm{h}$ exposed
648 + to vacuum performed by Conde, Vega and Patrykiejew have found QLL widths of
649 + approximately 10 \AA\ at 3 K below the melting point\cite{Conde08}.
650 + Similarly, Limmer and Chandler have used course grain simulations and
651 + statistical field theory to estimated QLL widths at the same temperature to
652 + be about 3 nm\cite{Limmer14}.
653 + Recently, Sazaki and Furukawa have developed an experimental technique with
654 + sufficient spatial and temporal resolution to visulaize and quantitatively
655 + analyze QLLs on ice crystals at temperatures near melting\cite{Sazaki10}. They
656 + have found the width of the QLLs perpindicular to the surface  at -2.2$^{o}$C
657 + to be $\mathcal{O}$(\AA). They have also seen the formation of two immiscible
658 + QLLs, which displayed different stabilities and dynamics on the crystal
659 + surface\cite{Sazaki12}. Knowledge of the hydrophilicities of each
660 + of the crystal facets would help further our understanding of the properties
661 + and dynamics of the QLLs.
662 +  
663 + Presented here is the follow up to our previous paper\cite{Louden13}, in which
664 + the basal and prismatic facets of an ice-I$_\mathrm{h}$/water interface were
665 + investigated where the ice was sheared relative to the liquid. By using a
666 + recently developed velocity shearing and scaling approach to reverse
667 + non-equilibrium molecular dynamics (VSS-RNEMD), simultaneous temperature and
668 + velocity gradients can be applied to the system, which allows for measurment
669 + of friction and thermal transport properties while maintaining a stable
670 + interfacial temperature\cite{Kuang12}. Structural analysis and dynamic
671 + correlation functions were used to probe the interfacial response to a shear,
672 + and the resulting solid/liquid kinetic friction coefficients were reported.
673 + In this paper we present the same analysis for the pyramidal and secondary
674 + prismatic facets, and show that the differential interfacial friction
675 + coefficients for the four facets of ice-I$_\mathrm{h}$ are determined by their
676 + relative hydrophilicity by means of dynamics water contact angle simulations.
677 +
678   \end{document}
679 +
680 +

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