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Revision 3259 by gezelter, Fri Oct 12 21:21:04 2007 UTC vs.
Revision 3261 by chuckv, Mon Oct 15 21:02:43 2007 UTC

# Line 50 | Line 50 | equation \ref{eq:langevin} the frictional forces of a
50   protein simulation
51   community.\cite{BROOKS:1985kx,BROOKS:1983uq,BRUNGER:1984fj} A sketch
52   of this setup can be found in Fig. \ref{fig:langevinSketch}.  In
53 < equation \ref{eq:langevin} the frictional forces of a spherical atom
53 > Eq. (\ref{eq:langevin}) the frictional forces of a spherical atom
54   of radius $a$ depend on the solvent viscosity.  The random forces are
55   usually taken as gaussian random variables with zero mean and a
56   variance tied to the solvent viscosity and temperature,
# Line 113 | Line 113 | Eq. \ref{eq:laplacetransform}.
113   \end{equation}
114   For simplicity, we have introduced the thermal diffusivity $\kappa =
115   K/(\rho c)$,  and defined $k=4\pi R^3 \rho c /(M c_p)$ and $g = G/K$ in
116 < Eq. \ref{eq:laplacetransform}.
116 > Eq. (\ref{eq:laplacetransform}).
117  
118 < Eq. \ref{eq:laplacetransform} was solved numerically for the Ag-Cu
118 > Eq. (\ref{eq:laplacetransform}) was solved numerically for the Ag-Cu
119   system using mole-fraction weighted values for $c_p$ and $\rho_p$ of
120   0.295 $(\mathrm{J g^{-1} K^{-1}})$ and $9.826\times 10^6$ $(\mathrm{g
121   m^{-3}})$ respectively. Since most of the laser excitation experiments
# Line 126 | Line 126 | $87.5\times 10^{6} (\mathrm{Wm^{-2}K^{-1}})$ to $130\t
126   Values for the interfacial conductance have been determined by a
127   number of groups for similar nanoparticles and range from a low
128   $87.5\times 10^{6} (\mathrm{Wm^{-2}K^{-1}})$ to $130\times 10^{6}
129 < (\mathrm{Wm^{-2}K^{-1}})$.\cite{XXXHartland,Wilson:2002uq} Wilson {\it
129 > (\mathrm{Wm^{-2}K^{-1}})$.\cite{Wilson:2002uq} Wilson {\it
130   et al.}  worked with Au, Pt, and AuPd nanoparticles and obtained an
131   estimate for the interfacial conductance of $G=130
132   (\mathrm{Wm^{-2}K^{-1}})$.\cite{Wilson:2002uq} Similarly, Plech {\it
# Line 149 | Line 149 | cooling rate described by the heat-transfer equations
149   The rate of cooling for the nanoparticles in a molecular dynamics
150   simulation can then be tuned by changing the effective solvent
151   viscosity ($\eta$) until the nanoparticle cooling rate matches the
152 < cooling rate described by the heat-transfer equations
152 > cooling rate described by the heat-transfer Eq.
153   (\ref{eq:heateqn}). The effective solvent viscosity (in Pa s) for a G
154   of $87.5\times 10^{6}$ $(\mathrm{Wm^{-2}K^{-1}})$ is $4.2 \times
155   10^{-6}$, $5.0 \times 10^{-6}$, and
# Line 172 | Line 172 | profiles from Eq. \ref{eq:laplacetransform} exactly. F
172   Fig. \ref{fig:images_cooling_plot}. It should be noted that the
173   Langevin thermostat produces cooling curves that are consistent with
174   Newtonian (single-exponential) cooling, which cannot match the cooling
175 < profiles from Eq. \ref{eq:laplacetransform} exactly. Fitting the
175 > profiles from Eq. (\ref{eq:laplacetransform}) exactly. Fitting the
176   Langevin cooling profiles to a single-exponential produces
177   $\tau=25.576$ ps, $\tau=43.786$ ps, and $\tau=56.621$ ps for the 20,
178   30 and 40 {\AA} nanoparticles and a G of $87.5\times 10^{6}$
# Line 186 | Line 186 | transform heat model in Eq. \ref{eq:laplacetransform}
186   \centering
187   \includegraphics[width=5in]{images/cooling_plot.pdf}
188   \caption{Thermal cooling curves obtained from the inverse Laplace
189 < transform heat model in Eq. \ref{eq:laplacetransform} (solid line) as
189 > transform heat model in Eq. (\ref{eq:laplacetransform}) (solid line) as
190   well as from molecular dynamics simulations (circles).  Effective
191   solvent viscosities of 4.2-7.5 $\times 10^{-6}$ Pa s (depending on the
192   radius of the particle) give the best fit to the experimental cooling
# Line 252 | Line 252 | sample from the proper distribution in phase space. Fi
252   nanoparticles throughout the cooling trajectory, configurations were
253   sampled at regular intervals during the cooling trajectory. These
254   configurations were then allowed to evolve under NVE dynamics to
255 < sample from the proper distribution in phase space. Figure
255 > sample from the proper distribution in phase space. Fig.
256   \ref{fig:images_cooling_time_traces} illustrates this sampling.
257  
258  

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