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Revision 3744 by skuang, Wed Jul 20 19:02:46 2011 UTC

# Line 23 | Line 23
23   \setlength{\belowcaptionskip}{30 pt}
24  
25   %\renewcommand\citemid{\ } % no comma in optional reference note
26 < \bibpunct{[}{]}{,}{s}{}{;}
27 < \bibliographystyle{aip}
26 > \bibpunct{[}{]}{,}{n}{}{;}
27 > \bibliographystyle{achemso}
28  
29   \begin{document}
30  
# Line 222 | Line 222 | our simulation cells. Both with and withour capping ag
222  
223   To compare the above definitions ($G$ and $G^\prime$), we have modeled
224   a metal slab with its (111) surfaces perpendicular to the $z$-axis of
225 < our simulation cells. Both with and withour capping agents on the
225 > our simulation cells. Both with and without capping agents on the
226   surfaces, the metal slab is solvated with simple organic solvents, as
227   illustrated in Figure \ref{demoPic}.
228  
229   \begin{figure}
230 < \includegraphics[width=\linewidth]{demoPic}
231 < \caption{A sample showing how a metal slab has its (111) surface
232 <  covered by capping agent molecules and solvated by hexane.}
230 > \includegraphics[width=\linewidth]{method}
231 > \caption{Interfacial conductance can be calculated by applying an
232 >  (unphysical) kinetic energy flux between two slabs, one located
233 >  within the metal and another on the edge of the periodic box.  The
234 >  system responds by forming a thermal response or a gradient.  In
235 >  bulk liquids, this gradient typically has a single slope, but in
236 >  interfacial systems, there are distinct thermal conductivity
237 >  domains.  The interfacial conductance, $G$ is found by measuring the
238 >  temperature gap at the Gibbs dividing surface, or by using second
239 >  derivatives of the thermal profile.}
240   \label{demoPic}
241   \end{figure}
242  
# Line 318 | Line 325 | Our simulations include various components. Therefore,
325   \end{equation}
326  
327   \subsection{Force Field Parameters}
328 < Our simulations include various components. Therefore, force field
329 < parameter descriptions are needed for interactions both between the
330 < same type of particles and between particles of different species.
328 > Our simulations include various components. Figure \ref{demoMol}
329 > demonstrates the sites defined for both United-Atom and All-Atom
330 > models of the organic solvent and capping agent molecules in our
331 > simulations. Force field parameter descriptions are needed for
332 > interactions both between the same type of particles and between
333 > particles of different species.
334  
335 + \begin{figure}
336 + \includegraphics[width=\linewidth]{structures}
337 + \caption{Structures of the capping agent and solvents utilized in
338 +  these simulations. The chemically-distinct sites (a-e) are expanded
339 +  in terms of constituent atoms for both United Atom (UA) and All Atom
340 +  (AA) force fields.  Most parameters are from
341 +  Refs. \protect\cite{TraPPE-UA.alkanes,TraPPE-UA.alkylbenzenes} (UA) and
342 +  \protect\cite{OPLSAA} (AA).  Cross-interactions with the Au atoms are given
343 +  in Table \ref{MnM}.}
344 + \label{demoMol}
345 + \end{figure}
346 +
347   The Au-Au interactions in metal lattice slab is described by the
348   quantum Sutton-Chen (QSC) formulation\cite{PhysRevB.59.3527}. The QSC
349   potentials include zero-point quantum corrections and are
350   reparametrized for accurate surface energies compared to the
351   Sutton-Chen potentials\cite{Chen90}.
330
331 Figure \ref{demoMol} demonstrates how we name our pseudo-atoms of the
332 organic solvent molecules in our simulations.
333
334 \begin{figure}
335 \includegraphics[width=\linewidth]{demoMol}
336 \caption{Denomination of atoms or pseudo-atoms in our simulations: a)
337  UA-hexane; b) AA-hexane; c) UA-toluene; d) AA-toluene.}
338 \label{demoMol}
339 \end{figure}
352  
353   For both solvent molecules, straight chain {\it n}-hexane and aromatic
354   toluene, United-Atom (UA) and All-Atom (AA) models are used
355   respectively. The TraPPE-UA
356   parameters\cite{TraPPE-UA.alkanes,TraPPE-UA.alkylbenzenes} are used
357 < for our UA solvent molecules. In these models, pseudo-atoms are
358 < located at the carbon centers for alkyl groups. By eliminating
359 < explicit hydrogen atoms, these models are simple and computationally
360 < efficient, while maintains good accuracy. However, the TraPPE-UA for
361 < alkanes is known to predict a lower boiling point than experimental
350 < values. Considering that after an unphysical thermal flux is applied
351 < to a system, the temperature of ``hot'' area in the liquid phase would be
352 < significantly higher than the average, to prevent over heating and
353 < boiling of the liquid phase, the average temperature in our
354 < simulations should be much lower than the liquid boiling point. [MORE DISCUSSION]
355 < For UA-toluene model, rigid body constraints are applied, so that the
356 < benzene ring and the methyl-CRar bond are kept rigid. This would save
357 < computational time.[MORE DETAILS]
357 > for our UA solvent molecules. In these models, sites are located at
358 > the carbon centers for alkyl groups. Bonding interactions, including
359 > bond stretches and bends and torsions, were used for intra-molecular
360 > sites not separated by more than 3 bonds. Otherwise, for non-bonded
361 > interactions, Lennard-Jones potentials are used. [MORE CITATION?]
362  
363 + By eliminating explicit hydrogen atoms, these models are simple and
364 + computationally efficient, while maintains good accuracy. However, the
365 + TraPPE-UA for alkanes is known to predict a lower boiling point than
366 + experimental values. Considering that after an unphysical thermal flux
367 + is applied to a system, the temperature of ``hot'' area in the liquid
368 + phase would be significantly higher than the average, to prevent over
369 + heating and boiling of the liquid phase, the average temperature in
370 + our simulations should be much lower than the liquid boiling point.
371 +
372 + For UA-toluene model, the non-bonded potentials between
373 + inter-molecular sites have a similar Lennard-Jones formulation. For
374 + intra-molecular interactions, considering the stiffness of the benzene
375 + ring, rigid body constraints are applied for further computational
376 + efficiency. All bonds in the benzene ring and between the ring and the
377 + methyl group remain rigid during the progress of simulations.
378 +
379   Besides the TraPPE-UA models, AA models for both organic solvents are
380   included in our studies as well. For hexane, the OPLS-AA\cite{OPLSAA}
381 < force field is used. [MORE DETAILS]
382 < For toluene, the United Force Field developed by Rapp\'{e} {\it et
383 <  al.}\cite{doi:10.1021/ja00051a040} is adopted.[MORE DETAILS]
381 > force field is used. Additional explicit hydrogen sites were
382 > included. Besides bonding and non-bonded site-site interactions,
383 > partial charges and the electrostatic interactions were added to each
384 > CT and HC site. For toluene, the United Force Field developed by
385 > Rapp\'{e} {\it et al.}\cite{doi:10.1021/ja00051a040} is
386 > adopted. Without the rigid body constraints, bonding interactions were
387 > included. For the aromatic ring, improper torsions (inversions) were
388 > added as an extra potential for maintaining the planar shape.
389 > [MORE CITATIONS?]
390  
391   The capping agent in our simulations, the butanethiol molecules can
392   either use UA or AA model. The TraPPE-UA force fields includes
# Line 377 | Line 403 | Lorentz-Berthelot Mixing Rule:
403   interactions between capping agent and solvent can be derived using
404   Lorentz-Berthelot Mixing Rule:
405   \begin{eqnarray}
406 < \sigma_{IJ} & = & \frac{1}{2} \left(\sigma_{II} + \sigma_{JJ}\right) \\
407 < \epsilon_{IJ} & = & \sqrt{\epsilon_{II}\epsilon_{JJ}}
406 > \sigma_{ij} & = & \frac{1}{2} \left(\sigma_{ii} + \sigma_{jj}\right) \\
407 > \epsilon_{ij} & = & \sqrt{\epsilon_{ii}\epsilon_{jj}}
408   \end{eqnarray}
409  
410   To describe the interactions between metal Au and non-metal capping
# Line 395 | Line 421 | interactions between Au and aromatic C/H atoms in tolu
421  
422   Besides, the potentials developed from {\it ab initio} calculations by
423   Leng {\it et al.}\cite{doi:10.1021/jp034405s} are adopted for the
424 < interactions between Au and aromatic C/H atoms in toluene.[MORE DETAILS]
424 > interactions between Au and aromatic C/H atoms in toluene. A set of
425 > pseudo Lennard-Jones parameters were provided for Au in their force
426 > fields. By using the Mixing Rule, this can be used to derive pair-wise
427 > potentials for non-bonded interactions between Au and non-metal sites.
428  
429   However, the Lennard-Jones parameters between Au and other types of
430 < particles in our simulations are not yet well-established. For these
431 < interactions, we attempt to derive their parameters using the Mixing
432 < Rule. To do this, the ``Metal-non-Metal'' (MnM) interaction parameters
433 < for Au is first extracted from the Au-CH$_x$ parameters by applying
434 < the Mixing Rule reversely. Table \ref{MnM} summarizes these ``MnM''
430 > particles, such as All-Atom normal alkanes in our simulations are not
431 > yet well-established. For these interactions, we attempt to derive
432 > their parameters using the Mixing Rule. To do this, Au pseudo
433 > Lennard-Jones parameters for ``Metal-non-Metal'' (MnM) interactions
434 > were first extracted from the Au-CH$_x$ parameters by applying the
435 > Mixing Rule reversely. Table \ref{MnM} summarizes these ``MnM''
436   parameters in our simulations.
437  
438   \begin{table*}
439    \begin{minipage}{\linewidth}
440      \begin{center}
441 <      \caption{Non-bonded interaction paramters for non-metal
442 <        particles and metal-non-metal interactions in our
443 <        simulations.}
444 <      
415 <      \begin{tabular}{cccccc}
441 >      \caption{Non-bonded interaction parameters (including cross
442 >        interactions with Au atoms) for both force fields used in this
443 >        work.}      
444 >      \begin{tabular}{lllllll}
445          \hline\hline
446 <        Non-metal atom $I$ & $\sigma_{II}$ & $\epsilon_{II}$ & $q_I$ &
447 <        $\sigma_{AuI}$ & $\epsilon_{AuI}$ \\
448 <        (or pseudo-atom) & \AA & kcal/mol & & \AA & kcal/mol \\
446 >        & Site  & $\sigma_{ii}$ & $\epsilon_{ii}$ & $q_i$ &
447 >        $\sigma_{Au-i}$ & $\epsilon_{Au-i}$ \\
448 >        & & (\AA) & (kcal/mol) & ($e$) & (\AA) & (kcal/mol) \\
449          \hline
450 <        CH3  & 3.75  & 0.1947  & -      & 3.54   & 0.2146  \\
451 <        CH2  & 3.95  & 0.0914  & -      & 3.54   & 0.1749  \\
452 <        CHar & 3.695 & 0.1003  & -      & 3.4625 & 0.1680  \\
453 <        CRar & 3.88  & 0.04173 & -      & 3.555  & 0.1604  \\
454 <        S    & 4.45  & 0.25    & -      & 2.40   & 8.465   \\
455 <        CT3  & 3.50  & 0.066   & -0.18  & 3.365  & 0.1373  \\
456 <        CT2  & 3.50  & 0.066   & -0.12  & 3.365  & 0.1373  \\
457 <        CTT  & 3.50  & 0.066   & -0.065 & 3.365  & 0.1373  \\
458 <        HC   & 2.50  & 0.030   &  0.06  & 2.865  & 0.09256 \\
459 <        CA   & 3.55  & 0.070   & -0.115 & 3.173  & 0.0640  \\
460 <        HA   & 2.42  & 0.030   &  0.115 & 2.746  & 0.0414  \\
450 >        United Atom (UA)
451 >        &CH3  & 3.75  & 0.1947  & -      & 3.54   & 0.2146  \\
452 >        &CH2  & 3.95  & 0.0914  & -      & 3.54   & 0.1749  \\
453 >        &CHar & 3.695 & 0.1003  & -      & 3.4625 & 0.1680  \\
454 >        &CRar & 3.88  & 0.04173 & -      & 3.555  & 0.1604  \\
455 >        \hline
456 >        All Atom (AA)
457 >        &CT3  & 3.50  & 0.066   & -0.18  & 3.365  & 0.1373  \\
458 >        &CT2  & 3.50  & 0.066   & -0.12  & 3.365  & 0.1373  \\
459 >        &CTT  & 3.50  & 0.066   & -0.065 & 3.365  & 0.1373  \\
460 >        &HC   & 2.50  & 0.030   &  0.06  & 2.865  & 0.09256 \\
461 >        &CA   & 3.55  & 0.070   & -0.115 & 3.173  & 0.0640  \\
462 >        &HA   & 2.42  & 0.030   &  0.115 & 2.746  & 0.0414  \\
463 >        \hline
464 >        Both UA and AA
465 >        & S   & 4.45  & 0.25    & -      & 2.40   & 8.465   \\
466          \hline\hline
467        \end{tabular}
468        \label{MnM}
# Line 449 | Line 483 | during equilibrating the liquid phase. Due to the stif
483   results.
484  
485   In some of our simulations, we allowed $L_x$ and $L_y$ to change
486 < during equilibrating the liquid phase. Due to the stiffness of the Au
487 < slab, $L_x$ and $L_y$ would not change noticeably after
488 < equilibration. Although $L_z$ could fluctuate $\sim$1\% after a system
489 < is fully equilibrated in the NPT ensemble, this fluctuation, as well
490 < as those comparably smaller to $L_x$ and $L_y$, would not be magnified
491 < on the calculated $G$'s, as shown in Table \ref{AuThiolHexaneUA}. This
492 < insensivity to $L_i$ fluctuations allows reliable measurement of $G$'s
493 < without the necessity of extremely cautious equilibration process.
486 > during equilibrating the liquid phase. Due to the stiffness of the
487 > crystalline Au structure, $L_x$ and $L_y$ would not change noticeably
488 > after equilibration. Although $L_z$ could fluctuate $\sim$1\% after a
489 > system is fully equilibrated in the NPT ensemble, this fluctuation, as
490 > well as those of $L_x$ and $L_y$ (which is significantly smaller),
491 > would not be magnified on the calculated $G$'s, as shown in Table
492 > \ref{AuThiolHexaneUA}. This insensivity to $L_i$ fluctuations allows
493 > reliable measurement of $G$'s without the necessity of extremely
494 > cautious equilibration process.
495  
496   As stated in our computational details, the spacing filled with
497   solvent molecules can be chosen within a range. This allows some
# Line 483 | Line 518 | $J_z$ is listed in Table \ref{AuThiolHexaneUA} and [RE
518   the thermal flux across the interface. For our simulations, we denote
519   $J_z$ to be positive when the physical thermal flux is from the liquid
520   to metal, and negative vice versa. The $G$'s measured under different
521 < $J_z$ is listed in Table \ref{AuThiolHexaneUA} and [REF]. These
522 < results do not suggest that $G$ is dependent on $J_z$ within this flux
523 < range. The linear response of flux to thermal gradient simplifies our
524 < investigations in that we can rely on $G$ measurement with only a
525 < couple $J_z$'s and do not need to test a large series of fluxes.
521 > $J_z$ is listed in Table \ref{AuThiolHexaneUA} and
522 > \ref{AuThiolToluene}. These results do not suggest that $G$ is
523 > dependent on $J_z$ within this flux range. The linear response of flux
524 > to thermal gradient simplifies our investigations in that we can rely
525 > on $G$ measurement with only a couple $J_z$'s and do not need to test
526 > a large series of fluxes.
527  
492 %ADD MORE TO TABLE
528   \begin{table*}
529    \begin{minipage}{\linewidth}
530      \begin{center}
# Line 505 | Line 540 | couple $J_z$'s and do not need to test a large series
540          (K) & & $L_x$ \& $L_y$? & (g/cm$^3$) & (GW/m$^2$) &
541          \multicolumn{2}{c}{(MW/m$^2$/K)} \\
542          \hline
543 <        200 & 266 & No  & 0.672 & -0.96 & 102()  & 80.0() \\
544 <            & 200 & Yes & 0.694 &  1.92 & 129()  & 87.3() \\
545 <            &     & Yes & 0.672 &  1.93 & 131()  & 77.5() \\
546 <
547 <            & 166 & Yes & 0.679 &  0.97 & 115()  & 69.3() \\
548 <            &     & Yes & 0.679 &  1.94 & 125()  & 87.1() \\
549 <
550 <        250 & 200 & No  & 0.560 &  0.96 & 81.8() & 67.0() \\
551 <
552 <            & 166 & Yes & 0.570 &  0.98 & 79.0() & 62.9() \\
553 <
554 <            &     & No  & 0.569 &  1.44 & 76.2() & 64.8() \\
555 <
543 >        200 & 266 & No  & 0.672 & -0.96 & 102()     & 80.0()    \\
544 >            & 200 & Yes & 0.694 &  1.92 & 129(11)   & 87.3(0.3) \\
545 >            &     & Yes & 0.672 &  1.93 & 131(16)   & 78(13)    \\
546 >            &     & No  & 0.688 &  0.96 & 125()     & 90.2()    \\
547 >            &     &     &       &  1.91 & 139(10)   & 101(10)   \\
548 >            &     &     &       &  2.83 & 141(6)    & 89.9(9.8) \\
549 >            & 166 & Yes & 0.679 &  0.97 & 115(19)   & 69(18)    \\
550 >            &     &     &       &  1.94 & 125(9)    & 87.1(0.2) \\
551 >            &     & No  & 0.681 &  0.97 & 141(30)   & 78(22)    \\
552 >            &     &     &       &  1.92 & 138(4)    & 98.9(9.5) \\
553 >        \hline
554 >        250 & 200 & No  & 0.560 &  0.96 & 75(10)    & 61.8(7.3) \\
555 >            &     &     &       & -0.95 & 49.4(0.3) & 45.7(2.1) \\
556 >            & 166 & Yes & 0.570 &  0.98 & 79.0(3.5) & 62.9(3.0) \\
557 >            &     & No  & 0.569 &  0.97 & 80.3(0.6) & 67(11)    \\
558 >            &     &     &       &  1.44 & 76.2(5.0) & 64.8(3.8) \\
559 >            &     &     &       & -0.95 & 56.4(2.5) & 54.4(1.1) \\
560 >            &     &     &       & -1.85 & 47.8(1.1) & 53.5(1.5) \\
561          \hline\hline
562        \end{tabular}
563        \label{AuThiolHexaneUA}
# Line 533 | Line 573 | butanethiol as well.[MAY NEED FIGURE] And this reduced
573   temperature is higher than 250K. Additionally, the equilibrated liquid
574   hexane density under 250K becomes lower than experimental value. This
575   expanded liquid phase leads to lower contact between hexane and
576 < butanethiol as well.[MAY NEED FIGURE] And this reduced contact would
576 > butanethiol as well.[MAY NEED SLAB DENSITY FIGURE]
577 > And this reduced contact would
578   probably be accountable for a lower interfacial thermal conductance,
579   as shown in Table \ref{AuThiolHexaneUA}.
580  
# Line 599 | Line 640 | above. Our Au-butanethiol/toluene system did not see t
640  
641   However, when the surface is not completely covered by butanethiols,
642   the simulated system is more resistent to the reconstruction
643 < above. Our Au-butanethiol/toluene system did not see this phenomena
644 < even at $\langle T\rangle\sim$300K. The Au(111) surfaces have a 90\%
645 < coverage of butanethiols and have empty three-fold sites. These empty
646 < sites could help prevent surface reconstruction in that they provide
647 < other means of capping agent relaxation. It is observed that
643 > above. Our Au-butanethiol/toluene system had the Au(111) surfaces 90\%
644 > covered by butanethiols, but did not see this above phenomena even at
645 > $\langle T\rangle\sim$300K. The empty three-fold sites not occupied by
646 > capping agents could help prevent surface reconstruction in that they
647 > provide other means of capping agent relaxation. It is observed that
648   butanethiols can migrate to their neighbor empty sites during a
649   simulation. Therefore, we were able to obtain $G$'s for these
650   interfaces even at a relatively high temperature without being
# Line 614 | Line 655 | thermal conductivity are measured with our NIVS algori
655   thermal conductance, a series of different coverage Au-butanethiol
656   surfaces is prepared and solvated with various organic
657   molecules. These systems are then equilibrated and their interfacial
658 < thermal conductivity are measured with our NIVS algorithm. Table
659 < \ref{tlnUhxnUhxnD} lists these results for direct comparison between
660 < different coverages of butanethiol. To study the isotope effect in
661 < interfacial thermal conductance, deuterated UA-hexane is included as
662 < well.
658 > thermal conductivity are measured with our NIVS algorithm. Figure
659 > \ref{coverage} demonstrates the trend of conductance change with
660 > respect to different coverages of butanethiol. To study the isotope
661 > effect in interfacial thermal conductance, deuterated UA-hexane is
662 > included as well.
663  
664   It turned out that with partial covered butanethiol on the Au(111)
665 < surface, the derivative definition for $G$ (Eq. \ref{derivativeG}) has
666 < difficulty to apply, due to the difficulty in locating the maximum of
667 < change of $\lambda$. Instead, the discrete definition
668 < (Eq. \ref{discreteG}) is easier to apply, as max($\Delta T$) can still
669 < be well-defined. Therefore, $G$'s (not $G^\prime$) are used for this
670 < section.
665 > surface, the derivative definition for $G^\prime$
666 > (Eq. \ref{derivativeG}) was difficult to apply, due to the difficulty
667 > in locating the maximum of change of $\lambda$. Instead, the discrete
668 > definition (Eq. \ref{discreteG}) is easier to apply, as the Gibbs
669 > deviding surface can still be well-defined. Therefore, $G$ (not
670 > $G^\prime$) was used for this section.
671  
672 < From Table \ref{tlnUhxnUhxnD}, one can see the significance of the
672 > From Figure \ref{coverage}, one can see the significance of the
673   presence of capping agents. Even when a fraction of the Au(111)
674   surface sites are covered with butanethiols, the conductivity would
675   see an enhancement by at least a factor of 3. This indicates the
676   important role cappping agent is playing for thermal transport
677 < phenomena on metal/organic solvent surfaces.
677 > phenomena on metal / organic solvent surfaces.
678  
679   Interestingly, as one could observe from our results, the maximum
680   conductance enhancement (largest $G$) happens while the surfaces are
# Line 652 | Line 693 | case, $G$ decrease could not be offset but instead acc
693   would not offset this effect. Eventually, when butanethiol coverage
694   continues to decrease, solvent-capping agent contact actually
695   decreases with the disappearing of butanethiol molecules. In this
696 < case, $G$ decrease could not be offset but instead accelerated.
696 > case, $G$ decrease could not be offset but instead accelerated. [NEED
697 > SNAPSHOT SHOWING THE PHENOMENA]
698  
699   A comparison of the results obtained from differenet organic solvents
700   can also provide useful information of the interfacial thermal
# Line 662 | Line 704 | difference for the results of $G$. [MAY NEED FIGURE]
704   studies, even though eliminating C-H vibration samplings, still have
705   C-C vibrational frequencies different from each other. However, these
706   differences in the infrared range do not seem to produce an observable
707 < difference for the results of $G$. [MAY NEED FIGURE]
707 > difference for the results of $G$. [MAY NEED SPECTRA FIGURE]
708  
709   Furthermore, results for rigid body toluene solvent, as well as other
710   UA-hexane solvents, are reasonable within the general experimental
# Line 671 | Line 713 | trend with those for Au-butanethiol/hexane in that $G$
713   such as Au-thiol/organic solvent.
714  
715   However, results for Au-butanethiol/toluene do not show an identical
716 < trend with those for Au-butanethiol/hexane in that $G$'s remain at
716 > trend with those for Au-butanethiol/hexane in that $G$ remains at
717   approximately the same magnitue when butanethiol coverage differs from
718   25\% to 75\%. This might be rooted in the molecule shape difference
719 < for plane-like toluene and chain-like {\it n}-hexane. Due to this
719 > for planar toluene and chain-like {\it n}-hexane. Due to this
720   difference, toluene molecules have more difficulty in occupying
721   relatively small gaps among capping agents when their coverage is not
722   too low. Therefore, the solvent-capping agent contact may keep
# Line 683 | Line 725 | can see a plateau of $G$ vs. butanethiol coverage in o
725   its effect to the process of interfacial thermal transport. Thus, one
726   can see a plateau of $G$ vs. butanethiol coverage in our results.
727  
728 < [NEED ERROR ESTIMATE, CONVERT TO FIGURE]
729 < \begin{table*}
730 <  \begin{minipage}{\linewidth}
731 <    \begin{center}
732 <      \caption{Computed interfacial thermal conductivity ($G$) values
733 <        for the Au-butanethiol/solvent interface with various UA
734 <        models and different capping agent coverages at $\langle
735 <        T\rangle\sim$200K using certain energy flux respectively.}
694 <      
695 <      \begin{tabular}{cccc}
696 <        \hline\hline
697 <        Thiol & \multicolumn{3}{c}{$G$(MW/m$^2$/K)} \\
698 <        coverage (\%) & hexane & hexane(D) & toluene \\
699 <        \hline
700 <        0.0   & 46.5() & 43.9() & 70.1() \\
701 <        25.0  & 151()  & 153()  & 249()  \\
702 <        50.0  & 172()  & 182()  & 214()  \\
703 <        75.0  & 242()  & 229()  & 244()  \\
704 <        88.9  & 178()  & -      & -      \\
705 <        100.0 & 137()  & 153()  & 187()  \\
706 <        \hline\hline
707 <      \end{tabular}
708 <      \label{tlnUhxnUhxnD}
709 <    \end{center}
710 <  \end{minipage}
711 < \end{table*}
728 > \begin{figure}
729 > \includegraphics[width=\linewidth]{coverage}
730 > \caption{Comparison of interfacial thermal conductivity ($G$) values
731 >  for the Au-butanethiol/solvent interface with various UA models and
732 >  different capping agent coverages at $\langle T\rangle\sim$200K
733 >  using certain energy flux respectively.}
734 > \label{coverage}
735 > \end{figure}
736  
737   \subsection{Influence of Chosen Molecule Model on $G$}
738   [MAY COMBINE W MECHANISM STUDY]
# Line 721 | Line 745 | these studies.
745   the previous section. Table \ref{modelTest} summarizes the results of
746   these studies.
747  
724 [MORE DATA; ERROR ESTIMATE]
748   \begin{table*}
749    \begin{minipage}{\linewidth}
750      \begin{center}
# Line 729 | Line 752 | these studies.
752        \caption{Computed interfacial thermal conductivity ($G$ and
753          $G^\prime$) values for interfaces using various models for
754          solvent and capping agent (or without capping agent) at
755 <        $\langle T\rangle\sim$200K.}
755 >        $\langle T\rangle\sim$200K. (D stands for deuterated solvent
756 >        or capping agent molecules; ``Avg.'' denotes results that are
757 >        averages of simulations under different $J_z$'s. Error
758 >        estimates indicated in parenthesis.)}
759        
760 <      \begin{tabular}{ccccc}
760 >      \begin{tabular}{llccc}
761          \hline\hline
762          Butanethiol model & Solvent & $J_z$ & $G$ & $G^\prime$ \\
763          (or bare surface) & model & (GW/m$^2$) &
764          \multicolumn{2}{c}{(MW/m$^2$/K)} \\
765          \hline
766 <        UA    & AA hexane  & 1.94 & 135()  & 129()  \\
767 <              &            & 2.86 & 126()  & 115()  \\
768 <              & AA toluene & 1.89 & 200()  & 149()  \\
769 <        AA    & UA hexane  & 1.94 & 116()  & 129()  \\
770 <              & AA hexane  & 3.76 & 451()  & 378()  \\
771 <              &            & 4.71 & 432()  & 334()  \\
772 <              & AA toluene & 3.79 & 487()  & 290()  \\
773 <        AA(D) & UA hexane  & 1.94 & 158()  & 172()  \\
774 <        bare  & AA hexane  & 0.96 & 31.0() & 29.4() \\
766 >        UA    & UA hexane    & Avg. & 131(9)    & 87(10)    \\
767 >              & UA hexane(D) & 1.95 & 153(5)    & 136(13)   \\
768 >              & AA hexane    & Avg. & 131(6)    & 122(10)   \\
769 >              & UA toluene   & 1.96 & 187(16)   & 151(11)   \\
770 >              & AA toluene   & 1.89 & 200(36)   & 149(53)   \\
771 >        \hline
772 >        AA    & UA hexane    & 1.94 & 116(9)    & 129(8)    \\
773 >              & AA hexane    & Avg. & 442(14)   & 356(31)   \\
774 >              & AA hexane(D) & 1.93 & 222(12)   & 234(54)   \\
775 >              & UA toluene   & 1.98 & 125(25)   & 97(60)    \\
776 >              & AA toluene   & 3.79 & 487(56)   & 290(42)   \\
777 >        \hline
778 >        AA(D) & UA hexane    & 1.94 & 158(25)   & 172(4)    \\
779 >              & AA hexane    & 1.92 & 243(29)   & 191(11)   \\
780 >              & AA toluene   & 1.93 & 364(36)   & 322(67)   \\
781 >        \hline
782 >        bare  & UA hexane    & Avg. & 46.5(3.2) & 49.4(4.5) \\
783 >              & UA hexane(D) & 0.98 & 43.9(4.6) & 43.0(2.0) \\
784 >              & AA hexane    & 0.96 & 31.0(1.4) & 29.4(1.3) \\
785 >              & UA toluene   & 1.99 & 70.1(1.3) & 65.8(0.5) \\
786          \hline\hline
787        \end{tabular}
788        \label{modelTest}
# Line 768 | Line 805 | the upper bond of experimental value range. This is pr
805   interfaces, using AA model for both butanethiol and hexane yields
806   substantially higher conductivity values than using UA model for at
807   least one component of the solvent and capping agent, which exceeds
808 < the upper bond of experimental value range. This is probably due to
809 < the classically treated C-H vibrations in the AA model, which should
810 < not be appreciably populated at normal temperatures. In comparison,
811 < once either the hexanes or the butanethiols are deuterated, one can
812 < see a significantly lower $G$ and $G^\prime$. In either of these
813 < cases, the C-H(D) vibrational overlap between the solvent and the
814 < capping agent is removed. [MAY NEED FIGURE] Conclusively, the
808 > the general range of experimental measurement results. This is
809 > probably due to the classically treated C-H vibrations in the AA
810 > model, which should not be appreciably populated at normal
811 > temperatures. In comparison, once either the hexanes or the
812 > butanethiols are deuterated, one can see a significantly lower $G$ and
813 > $G^\prime$. In either of these cases, the C-H(D) vibrational overlap
814 > between the solvent and the capping agent is removed.
815 > [MAY NEED SPECTRA FIGURE] Conclusively, the
816   improperly treated C-H vibration in the AA model produced
817   over-predicted results accordingly. Compared to the AA model, the UA
818   model yields more reasonable results with higher computational
# Line 782 | Line 820 | measurement results.
820  
821   However, for Au-butanethiol/toluene interfaces, having the AA
822   butanethiol deuterated did not yield a significant change in the
823 < measurement results.
824 < . , so extra degrees of freedom
825 < such as the C-H vibrations could enhance heat exchange between these
826 < two phases and result in a much higher conductivity.
823 > measurement results. Compared to the C-H vibrational overlap between
824 > hexane and butanethiol, both of which have alkyl chains, that overlap
825 > between toluene and butanethiol is not so significant and thus does
826 > not have as much contribution to the ``Intramolecular Vibration
827 > Redistribution''[CITE HASE]. Conversely, extra degrees of freedom such
828 > as the C-H vibrations could yield higher heat exchange rate between
829 > these two phases and result in a much higher conductivity.
830  
790
831   Although the QSC model for Au is known to predict an overly low value
832   for bulk metal gold conductivity\cite{kuang:164101}, our computational
833   results for $G$ and $G^\prime$ do not seem to be affected by this
834 < drawback of the model for metal. Instead, the modeling of interfacial
835 < thermal transport behavior relies mainly on an accurate description of
836 < the interactions between components occupying the interfaces.
834 > drawback of the model for metal. Instead, our results suggest that the
835 > modeling of interfacial thermal transport behavior relies mainly on
836 > the accuracy of the interaction descriptions between components
837 > occupying the interfaces.
838  
839   \subsection{Mechanism of Interfacial Thermal Conductance Enhancement
840    by Capping Agent}
841 < %OR\subsection{Vibrational spectrum study on conductance mechanism}
841 > [OR: Vibrational Spectrum Study on Conductance Mechanism]
842  
843   [MAY INTRODUCE PROTOCOL IN METHODOLOGY/COMPUTATIONAL DETAIL, EQN'S]
844  
# Line 809 | Line 850 | power spectrum via a Fourier transform.
850   the velocity auto-correlation functions, which is used to construct a
851   power spectrum via a Fourier transform.
852  
853 + [MAY RELATE TO HASE'S]
854   The gold surfaces covered by
855   butanethiol molecules, compared to bare gold surfaces, exhibit an
856   additional peak observed at a frequency of $\sim$170cm$^{-1}$, which
857 < is attributed to the vibration of the S-Au bond. This vibration
857 > is attributed to the vibration of the S-Au bonding. This vibration
858   enables efficient thermal transport from surface Au atoms to the
859   capping agents. Simultaneously, as shown in the lower panel of
860   Fig. \ref{vibration}, the large overlap of the vibration spectra of
# Line 821 | Line 863 | thermal conductance enhancement in the all-atom model.
863   combination of these two effects produces the drastic interfacial
864   thermal conductance enhancement in the all-atom model.
865  
866 < [MAY NEED TO CONVERT TO JPEG]
866 > [REDO. MAY NEED TO CONVERT TO JPEG]
867   \begin{figure}
868   \includegraphics[width=\linewidth]{vibration}
869   \caption{Vibrational spectra obtained for gold in different
# Line 830 | Line 872 | thermal conductance enhancement in the all-atom model.
872   \label{vibration}
873   \end{figure}
874  
875 < [COMPARISON OF TWO G'S; AU SLAB WIDTHS; ETC]
875 > [MAY ADD COMPARISON OF G AND G', AU SLAB WIDTHS, ETC]
876   % The results show that the two definitions used for $G$ yield
877   % comparable values, though $G^\prime$ tends to be smaller.
878  
# Line 842 | Line 884 | gold/liquid interfaces. The acoustic impedance mismatc
884   corresponding thermal gradient and to obtain interfacial thermal
885   conductivities. Our simulations have seen significant conductance
886   enhancement with the presence of capping agent, compared to the bare
887 < gold/liquid interfaces. The acoustic impedance mismatch between the
887 > gold / liquid interfaces. The acoustic impedance mismatch between the
888   metal and the liquid phase is effectively eliminated by proper capping
889   agent. Furthermore, the coverage precentage of the capping agent plays
890   an important role in the interfacial thermal transport process.

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