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Revision 3259 by gezelter, Fri Oct 12 21:21:04 2007 UTC

# Line 15 | Line 15 | sampling from a Maxwell-Boltzmann distribution at each
15   radius (6603 atoms) and 40 {\AA} radius (15683 atoms) were
16   constructed.  These initial structures were relaxed to their
17   equilibrium structures at 20 K for 20 ps and again at 300 K for 100 ps
18 < sampling from a Maxwell-Boltzmann distribution at each temperature. All simulations were conducted using the {\sc OOPSE} molecular dynamics package.\cite{Meineke:2004uq}
18 > sampling from a Maxwell-Boltzmann distribution at each
19 > temperature. All simulations were conducted using the {\sc oopse}
20 > molecular dynamics package.\cite{Meineke:2004uq}
21  
22   To mimic the effects of the heating due to laser irradiation, the
23   particles were allowed to melt by sampling velocities from the Maxwell
# Line 123 | Line 125 | $87.5\times 10^{6}$ $(\mathrm{Wm^{-2}K^{-1}})$ to $120
125  
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 $120\times 10^{6}$
129 < $(\mathrm{Wm^{-2}K^{-1}})$.\cite{Wilson:2002uq} Similarly, Plech
130 < {\it et al.}  reported a value for the interfacial conductance of
131 < $G=105\pm 15$ $(\mathrm{Wm^{-2}K^{-1}})$ and $G=130\pm 15$
132 < $(\mathrm{Wm^{-2}K^{-1}})$ for Pt
133 < nanoparticles.\cite{plech:195423,PhysRevB.66.224301}
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
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
133 > et al.}  reported a value for the interfacial conductance of $G=105\pm
134 > 15 (\mathrm{Wm^{-2}K^{-1}})$ for Au nanoparticles.\cite{plech:195423}
135  
136   We conducted our simulations at both ends of the range of
137   experimentally-determined values for the interfacial conductance.
# Line 139 | Line 142 | experiments on Au nanospheres, the true G values are p
142   the fastest heat transfer, a value of $117\times 10^{6}$
143   $(\mathrm{Wm^{-2}K^{-1}})$ was used.  Based on calculations we have
144   done using raw data from the Hartland group's thermal half-time
145 < experiments on Au nanospheres, the true G values are probably in the
146 < faster regime: $117\times 10^{6}$ $(\mathrm{Wm^{-2}K^{-1}})$.
145 > experiments on Au nanospheres,\cite{HuM._jp020581+} the true G values
146 > are probably in the faster regime: $117\times 10^{6}$
147 > $(\mathrm{Wm^{-2}K^{-1}})$.
148  
149   The rate of cooling for the nanoparticles in a molecular dynamics
150   simulation can then be tuned by changing the effective solvent
# Line 153 | Line 157 | for 20 {\AA}, 30 {\AA} and 40 {\AA} particles.  Coolin
157   effective solvent viscosity (again in Pa s) for an interfacial
158   conductance of $117\times 10^{6}$ $(\mathrm{Wm^{-2}K^{-1}})$ is $5.7
159   \times 10^{-6}$, $7.2 \times 10^{-6}$, and $7.5 \times 10^{-6}$
160 < for 20 {\AA}, 30 {\AA} and 40 {\AA} particles.  Cooling traces for
161 < each particle size are presented in
160 > for 20 {\AA}, 30 {\AA} and 40 {\AA} particles.  These viscosities are
161 > essentially gas-phase values, a fact which is consistent with the
162 > initial temperatures of the particles being well into the
163 > super-critical region for the aqueous environment.  Gas bubble
164 > generation has also been seen experimentally around gold nanoparticles
165 > in water.\cite{kotaidis:184702} Instead of a single value for the
166 > effective viscosity, a time-dependent parameter might be a better
167 > mimic of the cooling vapor layer that surrounds the hot particles.
168 > This may also be a contributing factor to the size-dependence of the
169 > effective viscosities in our simulations.
170 >
171 > Cooling traces for each particle size are presented in
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
# Line 222 | Line 236 | liquid alloy.\cite{MURRAY:1984lr} Combination rules fo
236   data for both FCC solid solutions of Ag-Cu and the high-temperature
237   liquid.\cite{sheng:184203} In contrast, the {\sc eam} potential does
238   not reproduce the experimentally observed heat of mixing for the
239 < liquid alloy.\cite{MURRAY:1984lr} Combination rules for the alloy were
240 < taken to be the arithmatic average of the atomic parameters with the
241 < exception of $c_i$ since its values is only dependent on the identity
242 < of the atom where the density is evaluated.  For the {\sc q-sc}
243 < potential, cutoff distances are traditionally taken to be
244 < $2\alpha_{ij}$ and include up to the sixth coordination shell in FCC
245 < metals.
239 > liquid alloy.\cite{MURRAY:1984lr} In this work, we have utilized the
240 > {\sc q-sc} formulation for our potential energies and forces.
241 > Combination rules for the alloy were taken to be the arithmetic
242 > average of the atomic parameters with the exception of $c_i$ since its
243 > values is only dependent on the identity of the atom where the density
244 > is evaluated.  For the {\sc q-sc} potential, cutoff distances are
245 > traditionally taken to be $2\alpha_{ij}$ and include up to the sixth
246 > coordination shell in FCC metals.
247  
248   %\subsection{Sampling single-temperature configurations from a cooling
249   %trajectory}

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