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Revision 3763 by skuang, Tue Sep 27 21:02:48 2011 UTC vs.
Revision 3764 by skuang, Wed Sep 28 22:26:23 2011 UTC

# Line 28 | Line 28
28  
29   \begin{document}
30  
31 < \title{Simulating interfacial thermal conductance at metal-solvent
32 <  interfaces: the role of chemical capping agents}
31 > \title{Simulating Interfacial Thermal Conductance at Metal-Solvent
32 >  Interfaces: the Role of Chemical Capping Agents}
33  
34   \author{Shenyu Kuang and J. Daniel
35   Gezelter\footnote{Corresponding author. \ Electronic mail: gezelter@nd.edu} \\
# Line 60 | Line 60 | Notre Dame, Indiana 46556}
60    to solvent) provides a mechanism for rapid thermal transport across
61    the interface. Our calculations also suggest that this is a
62    non-monotonic function of the fractional coverage of the surface, as
63 <  moderate coverages allow convective heat transport of solvent
63 >  moderate coverages allow {\bf vibrational heat diffusion} of solvent
64    molecules that have been in close contact with the capping agent.
65   \end{abstract}
66  
# Line 234 | Line 234 | The other approach is to assume a continuous temperatu
234   \label{demoPic}
235   \end{figure}
236  
237 + {\bf We attempt another approach by assuming that temperature is
238 +  continuous and differentiable throughout the space. Given that
239 +  $\lambda$ is also differentiable, $G$ can be defined as its
240 +  gradient. This quantity has the same unit as the commonly known $G$,
241 +  and the maximum of its magnitude denotes where thermal conductivity
242 +  has the largest change, i.e. the interface. And vector
243 +  $\nabla\lambda$ is normal to the interface. In a simplified
244 +  condition here, we have both $\vec{J}$ and the thermal gradient
245 +  paralell to the $z$ axis and yield the formula used in our
246 +  computations.}
247 + (original text)
248   The other approach is to assume a continuous temperature profile along
249   the thermal gradient axis (e.g. $z$) and define $G$ at the point where
250   the magnitude of thermal conductivity ($\lambda$) change reaches its
# Line 586 | Line 597 | studies.
597   capping agent. Table \ref{modelTest} summarizes the results of these
598   studies.
599  
600 + {\bf MAY NOT NEED $J_z$ IN TABLE}
601   \begin{table*}
602    \begin{minipage}{\linewidth}
603      \begin{center}
# Line 721 | Line 733 | small number $J_z$ values.  
733   investigations in that we can rely on $G$ measurement with only a
734   small number $J_z$ values.  
735  
736 + {\bf MAY MOVE TO SUPPORT INFO}
737   \begin{table*}
738    \begin{minipage}{\linewidth}
739      \begin{center}
# Line 763 | Line 776 | liquid carries thermal energy via convective transport
776   temperature values reported are for the entire system, and not for the
777   liquid phase, so at a given $\langle T \rangle$, the system with
778   positive $J_z$ has a warmer liquid phase.  This means that if the
779 < liquid carries thermal energy via convective transport, {\it positive}
779 > liquid carries thermal energy via diffusive transport, {\it positive}
780   $J_z$ values will result in increased molecular motion on the liquid
781   side of the interface, and this will increase the measured
782   conductivity.
# Line 794 | Line 807 | function of temperature.
807   of one side of the interface (notably the density) change rapidly as a
808   function of temperature.
809  
810 + {\bf MAY MOVE TO SUPPORT INFO}
811   \begin{table*}
812    \begin{minipage}{\linewidth}
813      \begin{center}

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