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monolayer on Au and a solvent phase has yet to be studied. |
111 |
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The comparatively low thermal flux through interfaces is |
112 |
|
difficult to measure with Equilibrium MD or forward NEMD simulation |
113 |
< |
methods. Therefore, the Reverse NEMD (RNEMD) methods would have the |
114 |
< |
advantage of having this difficult to measure flux known when studying |
115 |
< |
the thermal transport across interfaces, given that the simulation |
116 |
< |
methods being able to effectively apply an unphysical flux in |
117 |
< |
non-homogeneous systems. |
113 |
> |
methods. Therefore, the Reverse NEMD (RNEMD) |
114 |
> |
methods\cite{MullerPlathe:1997xw} would have the advantage of having |
115 |
> |
this difficult to measure flux known when studying the thermal |
116 |
> |
transport across interfaces, given that the simulation methods being |
117 |
> |
able to effectively apply an unphysical flux in non-homogeneous |
118 |
> |
systems. Garde and coworkers\cite{garde:nl2005,garde:PhysRevLett2009} |
119 |
> |
applied this approach to various liquid interfaces and studied how |
120 |
> |
thermal conductance (or resistance) is dependent on chemistry details |
121 |
> |
of interfaces, e.g. hydrophobic and hydrophilic aqueous interfaces. |
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|
|
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Recently, we have developed the Non-Isotropic Velocity Scaling (NIVS) |
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algorithm for RNEMD simulations\cite{kuang:164101}. This algorithm |