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Revision 4146 by gezelter, Thu May 22 15:47:19 2014 UTC vs.
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# Line 20 | Line 20
20   \usepackage[version=3]{mhchem}  % this is a great package for formatting chemical reactions
21   \usepackage{url}
22  
23 < \title{Simulations of Interfacial Thermal Conductance of Alkanethiolate Ligand-Protected Gold Nanoparticles}
23 > \title{The Thermal Conductance of Alkanethiolate-Protected Gold
24 >  Nanospheres: Effects of Curvature and Chain Length}
25  
26   \author{Kelsey M. Stocker}
27   \author{J. Daniel Gezelter}
# Line 56 | Line 57 | interest.\cite{Wilson:2002uq,PhysRevB.67.054302,doi:10
57  
58   The thermal properties of various nanostructured interfaces have been
59   the subject of intense experimental
60 < interest.\cite{Wilson:2002uq,PhysRevB.67.054302,doi:10.1021/jp048375k,PhysRevLett.96.186101,Wang10082007,doi:10.1021/jp8051888,PhysRevB.80.195406,doi:10.1021/la904855s}
61 < The interfacial thermal conductance ($G$) is the principal quantity of
60 > interest,\cite{Wilson:2002uq,PhysRevB.67.054302,doi:10.1021/jp048375k,PhysRevLett.96.186101,Wang10082007,doi:10.1021/jp8051888,PhysRevB.80.195406,doi:10.1021/la904855s}
61 > and the interfacial thermal conductance is the principal quantity of
62   interest for understanding interfacial heat
63 < transport.\cite{cahill:793} Nanoparticles have a significant fraction
64 < of their atoms at interfaces, and the chemical details of these
65 < interfaces govern the thermal transport properties.
63 > transport.\cite{cahill:793} Because nanoparticles have a significant
64 > fraction of their atoms at the particle / solvent interface, the
65 > chemical details of these interfaces govern the thermal transport
66 > properties.
67  
68   Previously, reverse non-equilibrium molecular dynamics (RNEMD) methods
69   have been applied to calculate the interfacial thermal conductance at
70 < metal / organic solvent interfaces that had been chemically protected
71 < by mixed-chain alkanethiolate groups.\cite{kuang:AuThl} These
72 < simulations suggest an explanation for the very large thermal
73 < conductivity at alkanethiol-capped metal surfaces.  Specifically, the
74 < chemical bond between the metal and the ligand introduces a
75 < vibrational overlap that is not present without the protecting group,
76 < and the overlap between the vibrational spectra (metal to ligand,
77 < ligand to solvent) provides a mechanism for rapid thermal transport
78 < across the interface. The simulations also suggest that this
79 < phenomenon is a non-monotonic function of the fractional coverage of
80 < the surface, as moderate coverages allow diffusive heat transport of
81 < solvent molecules that have been in close contact with the ligands.
70 > flat (111) metal / organic solvent interfaces that had been chemically
71 > protected by mixed-chain alkanethiolate groups.\cite{kuang:AuThl}
72 > These simulations suggested an explanation for the increase in thermal
73 > conductivity at alkanethiol-capped metal surfaces compared with bare
74 > metal interfaces.  Specifically, the chemical bond between the metal
75 > and the ligand introduces a vibrational overlap that is not present
76 > without the protecting group, and the overlap between the vibrational
77 > spectra (metal to ligand, ligand to solvent) provides a mechanism for
78 > rapid thermal transport across the interface. The simulations also
79 > suggest that this phenomenon is a non-monotonic function of the
80 > fractional coverage of the surface, as moderate coverages allow
81 > diffusive heat transport of solvent molecules that have been in close
82 > contact with the ligands.
83  
84   Additionally, simulations of {\it mixed-chain} alkylthiolate surfaces
85   showed that entrapped solvent can be very efficient at moving thermal
86 < energy away from the surface.\cite{Stocker2013} Trapped solvent that
86 > energy away from the surface.\cite{Stocker:2013cl} Trapped solvent that
87   is orientationally coupled to the ordered ligands (and is less able to
88   diffuse into the bulk) were able to double the thermal conductance of
89   the interface.
# Line 111 | Line 114 | capacity, $C_p$.\cite{Wilson:2002uq} In the infinite i
114   \end{equation}
115   which depends on the solvent heat capacity, $C_s$, solvent thermal
116   conductivity, $\Lambda_s$, particle radius, $R$, and nanoparticle heat
117 < capacity, $C_p$.\cite{Wilson:2002uq} In the infinite interfacial
118 < thermal conductance limit $G >> G_c$, the particle cooling rate is
119 < limited by the solvent properties, $C_s$ and $\Lambda_s$. In the
120 < opposite limit ($G << G_c$), the heat dissipation is controlled by the
121 < thermal conductance of the particle / fluid interface. It is this
122 < regime with which we are concerned, where properties of the interface
123 < may be tuned to manipulate the rate of cooling for a solvated
124 < nanoparticle. Based on $G$ values from previous simulations of gold
125 < nanoparticles solvated in hexane and experimental results for solvated
126 < nanostructures, it appears that we are in the $G << G_c$ regime for
127 < gold nanoparticles of radius $< 400$ \AA\ solvated in hexane. The
128 < particles included in this study are more than an order of magnitude
129 < smaller than this critical radius. The heat dissipation should thus be
130 < controlled entirely by the surface features of the particle / ligand /
131 < solvent interface.
117 > capacity, $C_p$.\cite{Wilson:2002uq} In the limit of infinite
118 > interfacial thermal conductance, $G >> G_c$, cooling of the
119 > nanoparticle is limited by the solvent properties, $C_s$ and
120 > $\Lambda_s$.  In the opposite limit ($G << G_c$), the heat dissipation
121 > is controlled by the thermal conductance of the particle / fluid
122 > interface. It is this regime with which we are concerned, where
123 > properties of the interface may be tuned to manipulate the rate of
124 > cooling for a solvated nanoparticle.  Based on estimates of $G$ from
125 > previous simulations of gold nanoparticles solvated in hexane and
126 > experimental results for solvated nanostructures, it appears that we
127 > are in the $G << G_c$ regime for gold nanoparticles with radii smaller
128 > than 40 nm when solvated in hexane. The particles included in this
129 > study are more than an order of magnitude smaller than this critical
130 > radius, so the heat dissipation should be controlled entirely by the
131 > surface features of the particle / ligand / solvent interface.
132  
133   % Understanding how the structural details of the interfaces affect the energy flow between the particle and its surroundings is essential in designing and functionalizing metallic nanoparticles for use in plasmonic photothermal therapies,\cite{Jain:2007ux,Petrova:2007ad,Gnyawali:2008lp,Mazzaglia:2008to,Huff:2007ye,Larson:2007hw} which rely on the ability of metallic nanoparticles to absorb light in the near-IR, a portion of the spectrum in which living tissue is very nearly transparent. The relevant physical property controlling the transfer of this energy as heat into the surrounding tissue is the interfacial thermal conductance, $G$, which can be somewhat difficult to determine experimentally.\cite{Wilson:2002uq,Plech:2005kx}
134   %
# Line 338 | Line 341 | layer.\cite{Stocker2013} This function correlates the
341  
342   We use a survival correlation function, $C(t)$, to measure the
343   residence time of a solvent molecule in the nanoparticle thiolate
344 < layer.\cite{Stocker2013} This function correlates the identity of all
344 > layer.\cite{Stocker:2013cl} This function correlates the identity of all
345   hexane molecules within the radial range of the thiolate layer at two
346   separate times. If the solvent molecule is present at both times, the
347   configuration contributes a $1$, while the absence of the molecule at
# Line 436 | Line 439 | The heat transfer mechanisms proposed in Chapter 3 can
439   %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
440   \begin{acknowledgement}
441    Support for this project was provided by the National Science Foundation
442 <  under grant CHE-0848243. Computational time was provided by the
442 >  under grant CHE-1362211. Computational time was provided by the
443    Center for Research Computing (CRC) at the University of Notre Dame.
444   \end{acknowledgement}
445  

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