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# Line 131 | Line 131 | underlying mechanism for this phenomena was investigat
131   properties. Different models were used for both the capping agent and
132   the solvent force field parameters. Using the NIVS algorithm, the
133   thermal transport across these interfaces was studied and the
134 < underlying mechanism for this phenomena was investigated.
134 > underlying mechanism for the phenomena was investigated.
135  
136   [MAY ADD WHY STUDY AU-THIOL SURFACE; CITE SHAOYI JIANG]
137  
138   \section{Methodology}
139   \subsection{Imposd-Flux Methods in MD Simulations}
140 + [CF. CAHILL]
141   For systems with low interfacial conductivity one must have a method
142   capable of generating relatively small fluxes, compared to those
143   required for bulk conductivity. This requirement makes the calculation
# Line 172 | Line 173 | For interfaces with a relatively low interfacial condu
173   momenta and energy and does not depend on an external thermostat.
174  
175   \subsection{Defining Interfacial Thermal Conductivity $G$}
176 < For interfaces with a relatively low interfacial conductance, the bulk
177 < regions on either side of an interface rapidly come to a state in
178 < which the two phases have relatively homogeneous (but distinct)
179 < temperatures. The interfacial thermal conductivity $G$ can therefore
180 < be approximated as:
176 > Given a system with thermal gradients and the corresponding thermal
177 > flux, for interfaces with a relatively low interfacial conductance,
178 > the bulk regions on either side of an interface rapidly come to a
179 > state in which the two phases have relatively homogeneous (but
180 > distinct) temperatures. The interfacial thermal conductivity $G$ can
181 > therefore be approximated as:
182   \begin{equation}
183   G = \frac{E_{total}}{2 t L_x L_y \left( \langle T_\mathrm{hot}\rangle -
184      \langle T_\mathrm{cold}\rangle \right)}
# Line 246 | Line 248 | example how those applied thermal fluxes can be used t
248   the unphysical flux, we are able to obtain a temperature profile and
249   its spatial derivatives. These quantities enable the evaluation of the
250   interfacial thermal conductance of a surface. Figure \ref{gradT} is an
251 < example how those applied thermal fluxes can be used to obtain the 1st
251 > example of how an applied thermal flux can be used to obtain the 1st
252   and 2nd derivatives of the temperature profile.
253  
254   \begin{figure}
# Line 262 | Line 264 | simulations. Different metal slab thickness (layer num
264   \subsection{Simulation Protocol}
265   The NIVS algorithm has been implemented in our MD simulation code,
266   OpenMD\cite{Meineke:2005gd,openmd}, and was used for our
267 < simulations. Different metal slab thickness (layer numbers of Au) were
267 > simulations. Different metal slab thickness (layer numbers of Au) was
268   simulated. Metal slabs were first equilibrated under atmospheric
269   pressure (1 atm) and a desired temperature (e.g. 200K). After
270   equilibration, butanethiol capping agents were placed at three-fold
271 < sites on the Au(111) surfaces. The maximum butanethiol capacity on Au
272 < surface is $1/3$ of the total number of surface Au
273 < atoms\cite{vlugt:cpc2007154}[CITE CHEM REV].
274 < A series of different coverages was
275 < investigated in order to study the relation between coverage and
276 < interfacial conductance.
271 > hollow sites on the Au(111) surfaces. These sites could be either a
272 > {\it fcc} or {\it hcp} site. However, Hase {\it et al.} found that
273 > they are equivalent in a heat transfer process\cite{hase:2010}, so
274 > they are not distinguished in our study. The maximum butanethiol
275 > capacity on Au surface is $1/3$ of the total number of surface Au
276 > atoms, and the packing forms a $(\sqrt{3}\times\sqrt{3})R30^\circ$
277 > structure[CITE PORTER].
278 > A series of different coverages was derived by evenly eliminating
279 > butanethiols on the surfaces, and was investigated in order to study
280 > the relation between coverage and interfacial conductance.
281  
282   The capping agent molecules were allowed to migrate during the
283   simulations. They distributed themselves uniformly and sampled a
# Line 297 | Line 303 | corresponding spacing is usually $35[?] \sim 75$\AA.
303   solvent molecules would change the normal behavior of the liquid
304   phase. Therefore, our $N_{solvent}$ values were chosen to ensure that
305   these extreme cases did not happen to our simulations. And the
306 < corresponding spacing is usually $35[?] \sim 75$\AA.
306 > corresponding spacing is usually $35[DOUBLE CHECK] \sim 75$\AA.
307  
308   The initial configurations generated are further equilibrated with the
309   $x$ and $y$ dimensions fixed, only allowing length scale change in $z$
310   dimension. This is to ensure that the equilibration of liquid phase
311   does not affect the metal crystal structure in $x$ and $y$ dimensions.
312   To investigate this effect, comparisons were made with simulations
313 < allowed to change $L_x$ and $L_y$ during NPT equilibration, and the
314 < results are shown in later sections. After ensuring the liquid phase
315 < reaches equilibrium at atmospheric pressure (1 atm), further
313 > that allow changes of $L_x$ and $L_y$ during NPT equilibration, and
314 > the results are shown in later sections. After ensuring the liquid
315 > phase reaches equilibrium at atmospheric pressure (1 atm), further
316   equilibration are followed under NVT and then NVE ensembles.
317  
318   After the systems reach equilibrium, NIVS is implemented to impose a
# Line 314 | Line 320 | freeze due to excessively low temperature. This induce
320   phase. Most of our simulations are under an average temperature of
321   $\sim$200K. Therefore, this flux usually comes from the metal to the
322   liquid so that the liquid has a higher temperature and would not
323 < freeze due to excessively low temperature. This induced temperature
324 < gradient is stablized and the simulation cell is devided evenly into
325 < N slabs along the $z$-axis and the temperatures of each slab are
326 < recorded. When the slab width $d$ of each slab is the same, the
327 < derivatives of $T$ with respect to slab number $n$ can be directly
328 < used for $G^\prime$ calculations:
323 > freeze due to excessively low temperature. After this induced
324 > temperature gradient is stablized, the temperature profile of the
325 > simulation cell is recorded. To do this, the simulation cell is
326 > devided evenly into $N$ slabs along the $z$-axis and $N$ is maximized
327 > for highest possible spatial resolution but not too many to have some
328 > slabs empty most of the time. The average temperatures of each slab
329 > are recorded for 1$\sim$2 ns. When the slab width $d$ of each slab is
330 > the same, the derivatives of $T$ with respect to slab number $n$ can
331 > be directly used for $G^\prime$ calculations:
332   \begin{equation}
333   G^\prime = |J_z|\Big|\frac{\partial^2 T}{\partial z^2}\Big|
334           \Big/\left(\frac{\partial T}{\partial z}\right)^2
# Line 330 | Line 339 | G^\prime = |J_z|\Big|\frac{\partial^2 T}{\partial z^2}
339   \label{derivativeG2}
340   \end{equation}
341  
342 + All of the above simulation procedures use a time step of 1 fs. And
343 + each equilibration / stabilization step usually takes 100 ps, or
344 + longer, if necessary.
345 +
346   \subsection{Force Field Parameters}
347   Our simulations include various components. Figure \ref{demoMol}
348   demonstrates the sites defined for both United-Atom and All-Atom
# Line 364 | Line 377 | interactions, Lennard-Jones potentials are used. [MORE
377   the carbon centers for alkyl groups. Bonding interactions, including
378   bond stretches and bends and torsions, were used for intra-molecular
379   sites not separated by more than 3 bonds. Otherwise, for non-bonded
380 < interactions, Lennard-Jones potentials are used. [MORE CITATION?]
380 > interactions, Lennard-Jones potentials are used. [CHECK CITATION]
381  
382   By eliminating explicit hydrogen atoms, these models are simple and
383   computationally efficient, while maintains good accuracy. However, the
384   TraPPE-UA for alkanes is known to predict a lower boiling point than
385   experimental values. Considering that after an unphysical thermal flux
386   is applied to a system, the temperature of ``hot'' area in the liquid
387 < phase would be significantly higher than the average, to prevent over
388 < heating and boiling of the liquid phase, the average temperature in
389 < our simulations should be much lower than the liquid boiling point.
387 > phase would be significantly higher than the average of the system, to
388 > prevent over heating and boiling of the liquid phase, the average
389 > temperature in our simulations should be much lower than the liquid
390 > boiling point.
391  
392   For UA-toluene model, the non-bonded potentials between
393   inter-molecular sites have a similar Lennard-Jones formulation. For
# Line 392 | Line 406 | added as an extra potential for maintaining the planar
406   adopted. Without the rigid body constraints, bonding interactions were
407   included. For the aromatic ring, improper torsions (inversions) were
408   added as an extra potential for maintaining the planar shape.
409 < [MORE CITATION?]
409 > [CHECK CITATION]
410  
411   The capping agent in our simulations, the butanethiol molecules can
412   either use UA or AA model. The TraPPE-UA force fields includes
# Line 402 | Line 416 | Landman\cite{landman:1998} and modify parameters for i
416   surfaces do not have the hydrogen atom bonded to sulfur. To adapt this
417   change and derive suitable parameters for butanethiol adsorbed on
418   Au(111) surfaces, we adopt the S parameters from Luedtke and
419 < Landman\cite{landman:1998} and modify parameters for its neighbor C
419 > Landman\cite{landman:1998}[CHECK CITATION]
420 > and modify parameters for its neighbor C
421   atom for charge balance in the molecule. Note that the model choice
422   (UA or AA) of capping agent can be different from the
423   solvent. Regardless of model choice, the force field parameters for
# Line 477 | Line 492 | parameters in our simulations.
492   \end{table*}
493  
494   \subsection{Vibrational Spectrum}
495 <
496 < [MAY ADD EQN'S]
497 < To obtain these
498 < spectra, one first runs a simulation in the NVE ensemble and collects
499 < snapshots of configurations; these configurations are used to compute
500 < the velocity auto-correlation functions, which is used to construct a
501 < power spectrum via a Fourier transform.
495 > To investigate the mechanism of interfacial thermal conductance, the
496 > vibrational spectrum is utilized as a complementary tool. Vibrational
497 > spectra were taken for individual components in different
498 > simulations. To obtain these spectra, simulations were run after
499 > equilibration, in the NVE ensemble. Snapshots of configurations were
500 > collected at a frequency that is higher than that of the fastest
501 > vibrations occuring in the simulations. With these configurations, the
502 > velocity auto-correlation functions can be computed:
503 > \begin{equation}
504 > C_A (t) = \langle\vec{v}_A (t)\cdot\vec{v}_A (0)\rangle
505 > \label{vCorr}
506 > \end{equation}
507  
508 + Followed by Fourier transforms, the power spectrum can be constructed:
509 + \begin{equation}
510 + \hat{f}(\omega) = \int_{-\infty}^{\infty} C_A (t) e^{-2\pi it\omega}\,dt
511 + \label{fourier}
512 + \end{equation}
513 +
514   \section{Results and Discussions}
515 < [MAY HAVE A BRIEF SUMMARY]
515 > In what follows, how the parameters and protocol of simulations would
516 > affect the measurement of $G$'s is first discussed. With a reliable
517 > protocol and set of parameters, the influence of capping agent
518 > coverage on thermal conductance is investigated. Besides, different
519 > force field models for both solvents and selected deuterated models
520 > were tested and compared. Finally, a summary of the role of capping
521 > agent in the interfacial thermal transport process is given.
522 >
523   \subsection{How Simulation Parameters Affects $G$}
491 [MAY NOT PUT AT FIRST]
524   We have varied our protocol or other parameters of the simulations in
525   order to investigate how these factors would affect the measurement of
526   $G$'s. It turned out that while some of these parameters would not
# Line 824 | Line 856 | between the solvent and the capping agent is removed.
856   butanethiols are deuterated, one can see a significantly lower $G$ and
857   $G^\prime$. In either of these cases, the C-H(D) vibrational overlap
858   between the solvent and the capping agent is removed.
859 < [MAY NEED SPECTRA FIGURE] Conclusively, the
859 > [ NEED SPECTRA FIGURE] Conclusively, the
860   improperly treated C-H vibration in the AA model produced
861   over-predicted results accordingly. Compared to the AA model, the UA
862   model yields more reasonable results with higher computational
# Line 849 | Line 881 | To investigate the mechanism of this interfacial therm
881   occupying the interfaces.
882  
883   \subsection{Role of Capping Agent in Interfacial Thermal Conductance}
884 < To investigate the mechanism of this interfacial thermal conductance,
885 < the vibrational spectra of various gold systems were obtained and are
886 < shown as in Fig. \ref{vibration}.
887 < [MAY RELATE TO HASE'S]
888 < The gold surfaces covered by butanethiol molecules, compared to bare
889 < gold surfaces, exhibit an additional peak observed at the frequency of
890 < $\sim$170cm$^{-1}$, which is attributed to the S-Au bonding
891 < vibration. This vibration enables efficient thermal transport from
892 < surface Au layer to the capping agents.
861 < [MAY PUT IN OTHER SECTION] Simultaneously, as shown in
862 < the lower panel of Fig. \ref{vibration}, the large overlap of the
863 < vibration spectra of butanethiol and hexane in the All-Atom model,
864 < including the C-H vibration, also suggests high thermal exchange
865 < efficiency. The combination of these two effects produces the drastic
866 < interfacial thermal conductance enhancement in the All-Atom model.
884 > The vibrational spectra for gold slabs in different environments are
885 > shown as in Figure \ref{specAu}. Regardless of the presence of
886 > solvent, the gold surfaces covered by butanethiol molecules, compared
887 > to bare gold surfaces, exhibit an additional peak observed at the
888 > frequency of $\sim$170cm$^{-1}$, which is attributed to the S-Au
889 > bonding vibration. This vibration enables efficient thermal transport
890 > from surface Au layer to the capping agents. Therefore, in our
891 > simulations, the Au/S interfaces do not appear major heat barriers
892 > compared to the butanethiol / solvent interfaces.
893  
894 < [NEED SEPARATE FIGURE. MAY NEED TO CONVERT TO JPEG]
894 > Simultaneously, the vibrational overlap between butanethiol and
895 > organic solvents suggests higher thermal exchange efficiency between
896 > these two components. Even exessively high heat transport was observed
897 > when All-Atom models were used and C-H vibrations were treated
898 > classically. Compared to metal and organic liquid phase, the heat
899 > transfer efficiency between butanethiol and organic solvents is closer
900 > to that within bulk liquid phase.
901 >
902 > As a combinational effects of the above two, butanethiol acts as a
903 > channel to expedite thermal transport process. The acoustic impedance
904 > mismatch between the metal and the liquid phase can be effectively
905 > reduced with the presence of suitable capping agents.
906 >
907   \begin{figure}
908   \includegraphics[width=\linewidth]{vibration}
909   \caption{Vibrational spectra obtained for gold in different
910    environments.}
911 < \label{vibration}
911 > \label{specAu}
912   \end{figure}
913  
914 < [MAY ADD COMPARISON OF G AND G', AU SLAB WIDTHS, ETC]
877 < % The results show that the two definitions used for $G$ yield
878 < % comparable values, though $G^\prime$ tends to be smaller.
914 > [MAY ADD COMPARISON OF AU SLAB WIDTHS]
915  
916   \section{Conclusions}
917   The NIVS algorithm we developed has been applied to simulations of
# Line 883 | Line 919 | conductivities. Our simulations have seen significant
919   effective unphysical thermal flux transferred between the metal and
920   the liquid phase. With the flux applied, we were able to measure the
921   corresponding thermal gradient and to obtain interfacial thermal
922 < conductivities. Our simulations have seen significant conductance
923 < enhancement with the presence of capping agent, compared to the bare
924 < gold / liquid interfaces. The acoustic impedance mismatch between the
925 < metal and the liquid phase is effectively eliminated by proper capping
922 > conductivities. Under steady states, single trajectory simulation
923 > would be enough for accurate measurement. This would be advantageous
924 > compared to transient state simulations, which need multiple
925 > trajectories to produce reliable average results.
926 >
927 > Our simulations have seen significant conductance enhancement with the
928 > presence of capping agent, compared to the bare gold / liquid
929 > interfaces. The acoustic impedance mismatch between the metal and the
930 > liquid phase is effectively eliminated by proper capping
931   agent. Furthermore, the coverage precentage of the capping agent plays
932 < an important role in the interfacial thermal transport process.
932 > an important role in the interfacial thermal transport
933 > process. Moderately lower coverages allow higher contact between
934 > capping agent and solvent, and thus could further enhance the heat
935 > transfer process.
936  
937   Our measurement results, particularly of the UA models, agree with
938   available experimental data. This indicates that our force field
# Line 898 | Line 942 | modelings.
942   vibration would be overly sampled. Compared to the AA models, the UA
943   models have higher computational efficiency with satisfactory
944   accuracy, and thus are preferable in interfacial thermal transport
945 < modelings.
945 > modelings. Of the two definitions for $G$, the discrete form
946 > (Eq. \ref{discreteG}) was easier to use and gives out relatively
947 > consistent results, while the derivative form (Eq. \ref{derivativeG})
948 > is not as versatile. Although $G^\prime$ gives out comparable results
949 > and follows similar trend with $G$ when measuring close to fully
950 > covered or bare surfaces, the spatial resolution of $T$ profile is
951 > limited for accurate computation of derivatives data.
952  
953   Vlugt {\it et al.} has investigated the surface thiol structures for
954   nanocrystal gold and pointed out that they differs from those of the
# Line 908 | Line 958 | simulating structures with spherical symmetry.
958   and measure the corresponding thermal gradient is desirable for
959   simulating structures with spherical symmetry.
960  
911
961   \section{Acknowledgments}
962   Support for this project was provided by the National Science
963   Foundation under grant CHE-0848243. Computational time was provided by

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