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# Line 211 | Line 211 | obtain the 1st and 2nd derivatives of the temperature
211   \label{gradT}
212   \end{figure}
213  
214 + [MAY INCLUDE POWER SPECTRUM PROTOCOL]
215 +
216   \section{Computational Details}
217 < \subsection{System Geometry}
217 > \subsection{Simulation Protocol}
218   In our simulations, Au is used to construct a metal slab with bare
219   (111) surface perpendicular to the $z$-axis. Different slab thickness
220   (layer numbers of Au) are simulated. This metal slab is first
# Line 240 | Line 242 | vibrational frequencies and chain-like shape ({\it n}-
242   interactions do not disrupt the simulations. Two solvents are
243   investigated, one which has little vibrational overlap with the
244   alkanethiol and plane-like shape (toluene), and one which has similar
245 < vibrational frequencies and chain-like shape ({\it n}-hexane). The
246 < initial configurations generated by Packmol are further equilibrated
245 < with the $x$ and $y$ dimensions fixed, only allowing length scale
246 < change in $z$ dimension. This is to ensure that the equilibration of
247 < liquid phase does not affect the metal crystal structure in $x$ and
248 < $y$ dimensions. Further equilibration are run under NVT and then NVE ensembles.
245 > vibrational frequencies and chain-like shape ({\it n}-hexane). [MAY
246 > EXPLAIN WHY WE CHOOSE THEM]
247  
248 + The spacing filled by solvent molecules, i.e. the gap between
249 + periodically repeated Au-butanethiol surfaces should be carefully
250 + chosen. A very long length scale for the thermal gradient axis ($z$)
251 + may cause excessively hot or cold temperatures in the middle of the
252 + solvent region and lead to undesired phenomena such as solvent boiling
253 + or freezing when a thermal flux is applied. Conversely, too few
254 + solvent molecules would change the normal behavior of the liquid
255 + phase. Therefore, our $N_{solvent}$ values were chosen to ensure that
256 + these extreme cases did not happen to our simulations. And the
257 + corresponding spacing is usually $35 \sim 60$\AA.
258 +
259 + The initial configurations generated by Packmol are further
260 + equilibrated with the $x$ and $y$ dimensions fixed, only allowing
261 + length scale change in $z$ dimension. This is to ensure that the
262 + equilibration of liquid phase does not affect the metal crystal
263 + structure in $x$ and $y$ dimensions. Further equilibration are run
264 + under NVT and then NVE ensembles.
265 +
266   After the systems reach equilibrium, NIVS is implemented to impose a
267   periodic unphysical thermal flux between the metal and the liquid
268 < phase. Most of our simulations have this flux from the metal to the
268 > phase. Most of our simulations are under an average temperature of
269 > $\sim$200K. Therefore, this flux usually comes from the metal to the
270   liquid so that the liquid has a higher temperature and would not
271   freeze due to excessively low temperature. This induced temperature
272   gradient is stablized and the simulation cell is devided evenly into
# Line 267 | Line 284 | G^\prime = |J_z|\Big|\frac{\partial^2 T}{\partial z^2}
284   \label{derivativeG2}
285   \end{equation}
286  
270
287   \subsection{Force Field Parameters}
288 + Our simulations include various components. Therefore, force field
289 + parameter descriptions are needed for interactions both between the
290 + same type of particles and between particles of different species.
291  
292   The Au-Au interactions in metal lattice slab is described by the
293   quantum Sutton-Chen (QSC) formulation.\cite{PhysRevB.59.3527} The QSC
# Line 276 | Line 295 | Straight chain {\it n}-hexane and aromatic toluene are
295   reparametrized for accurate surface energies compared to the
296   Sutton-Chen potentials\cite{Chen90}.
297  
298 < Straight chain {\it n}-hexane and aromatic toluene are respectively
299 < used as solvents. For hexane, both United-Atom\cite{TraPPE-UA.alkanes}
300 < and All-Atom\cite{OPLSAA} force fields are used for comparison; for
282 < toluene, United-Atom\cite{TraPPE-UA.alkylbenzenes} force fields are
283 < used with rigid body constraints applied. (maybe needs more details
284 < about rigid body)
285 <
286 < Buatnethiol molecules are used as capping agent for some of our
287 < simulations. United-Atom\cite{TraPPE-UA.thiols} and All-Atom models
288 < are respectively used corresponding to the force field type of
289 < solvent.
298 > Figure [REF] demonstrates how we name our pseudo-atoms of the
299 > molecules in our simulations.
300 > [FIGURE FOR MOLECULE NOMENCLATURE]
301  
302 < To describe the interactions between metal Au and non-metal capping
303 < agent and solvent, we refer to Vlugt\cite{vlugt:cpc2007154} and derive
304 < other interactions which are not parametrized in their work. (can add
305 < hautman and klein's paper here and more discussion; need to put
306 < aromatic-metal interaction approximation here)
302 > For both solvent molecules, straight chain {\it n}-hexane and aromatic
303 > toluene, United-Atom (UA) and All-Atom (AA) models are used
304 > respectively. The TraPPE-UA
305 > parameters\cite{TraPPE-UA.alkanes,TraPPE-UA.alkylbenzenes} are used
306 > for our UA solvent molecules. In these models, pseudo-atoms are
307 > located at the carbon centers for alkyl groups. By eliminating
308 > explicit hydrogen atoms, these models are simple and computationally
309 > efficient, while maintains good accuracy. However, the TraPPE-UA for
310 > alkanes is known to predict a lower boiling point than experimental
311 > values. Considering that after an unphysical thermal flux is applied
312 > to a system, the temperature of ``hot'' area in the liquid phase would be
313 > significantly higher than the average, to prevent over heating and
314 > boiling of the liquid phase, the average temperature in our
315 > simulations should be much lower than the liquid boiling point. [MORE DISCUSSION]
316 > For UA-toluene model, rigid body constraints are applied, so that the
317 > benzene ring and the methyl-CRar bond are kept rigid. This would save
318 > computational time.[MORE DETAILS]
319  
320 < [TABULATED FORCE FIELD PARAMETERS NEEDED]
320 > Besides the TraPPE-UA models, AA models for both organic solvents are
321 > included in our studies as well. For hexane, the OPLS-AA\cite{OPLSAA}
322 > force field is used. [MORE DETAILS]
323 > For toluene, the United Force Field developed by Rapp\'{e} {\it et
324 >  al.}\cite{doi:10.1021/ja00051a040} is adopted.[MORE DETAILS]
325  
326 < \section{Results}
327 < \subsection{Toluene Solvent}
326 > The capping agent in our simulations, the butanethiol molecules can
327 > either use UA or AA model. The TraPPE-UA force fields includes
328 > parameters for thiol molecules\cite{TraPPE-UA.thiols} and are used for
329 > UA butanethiol model in our simulations. The OPLS-AA also provides
330 > parameters for alkyl thiols. However, alkyl thiols adsorbed on Au(111)
331 > surfaces do not have the hydrogen atom bonded to sulfur. To adapt this
332 > change and derive suitable parameters for butanethiol adsorbed on
333 > Au(111) surfaces, we adopt the S parameters from [CITATION CF VLUGT]
334 > and modify parameters for its neighbor C atom for charge balance in
335 > the molecule. Note that the model choice (UA or AA) of capping agent
336 > can be different from the solvent. Regardless of model choice, the
337 > force field parameters for interactions between capping agent and
338 > solvent can be derived using Lorentz-Berthelot Mixing Rule:
339  
340 < The results (Table \ref{AuThiolToluene}) show a
341 < significant conductance enhancement compared to the gold/water
342 < interface without capping agent and agree with available experimental
343 < data. This indicates that the metal-metal potential, though not
344 < predicting an accurate bulk metal thermal conductivity, does not
345 < greatly interfere with the simulation of the thermal conductance
346 < behavior across a non-metal interface. The solvent model is not
347 < particularly volatile, so the simulation cell does not expand
348 < significantly under higher temperature. We did not observe a
349 < significant conductance decrease when the temperature was increased to
350 < 300K. The results show that the two definitions used for $G$ yield
351 < comparable values, though $G^\prime$ tends to be smaller.
340 >
341 > To describe the interactions between metal Au and non-metal capping
342 > agent and solvent particles, we refer to an adsorption study of alkyl
343 > thiols on gold surfaces by Vlugt {\it et
344 >  al.}\cite{vlugt:cpc2007154} They fitted an effective Lennard-Jones
345 > form of potential parameters for the interaction between Au and
346 > pseudo-atoms CH$_x$ and S based on a well-established and widely-used
347 > effective potential of Hautman and Klein[CITATION] for the Au(111)
348 > surface. As our simulations require the gold lattice slab to be
349 > non-rigid so that it could accommodate kinetic energy for thermal
350 > transport study purpose, the pair-wise form of potentials is
351 > preferred.
352 >
353 > Besides, the potentials developed from {\it ab initio} calculations by
354 > Leng {\it et al.}\cite{doi:10.1021/jp034405s} are adopted for the
355 > interactions between Au and aromatic C/H atoms in toluene.[MORE DETAILS]
356 >
357 > However, the Lennard-Jones parameters between Au and other types of
358 > particles in our simulations are not yet well-established. For these
359 > interactions, we attempt to derive their parameters using the Mixing
360 > Rule. To do this, the ``Metal-non-Metal'' (MnM) interaction parameters
361 > for Au is first extracted from the Au-CH$_x$ parameters by applying
362 > the Mixing Rule reversely. Table \ref{MnM} summarizes these ``MnM''
363 > parameters in our simulations.
364 >
365 > \begin{table*}
366 >  \begin{minipage}{\linewidth}
367 >    \begin{center}
368 >      \caption{Lennard-Jones parameters for Au-non-Metal
369 >        interactions in our simulations.}
370 >      
371 >      \begin{tabular}{ccc}
372 >        \hline\hline
373 >        Non-metal & $\sigma$/\AA & $\epsilon$/kcal/mol \\
374 >        \hline
375 >        S    & 2.40   & 8.465   \\
376 >        CH3  & 3.54   & 0.2146  \\
377 >        CH2  & 3.54   & 0.1749  \\
378 >        CT3  & 3.365  & 0.1373  \\
379 >        CT2  & 3.365  & 0.1373  \\
380 >        CTT  & 3.365  & 0.1373  \\
381 >        HC   & 2.865  & 0.09256 \\
382 >        CHar & 3.4625 & 0.1680  \\
383 >        CRar & 3.555  & 0.1604  \\
384 >        CA   & 3.173  & 0.0640  \\
385 >        HA   & 2.746  & 0.0414  \\
386 >        \hline\hline
387 >      \end{tabular}
388 >      \label{MnM}
389 >    \end{center}
390 >  \end{minipage}
391 > \end{table*}
392 >
393 >
394 > \section{Results and Discussions}
395 > [MAY HAVE A BRIEF SUMMARY]
396 > \subsection{How Simulation Parameters Affects $G$}
397 > [MAY NOT PUT AT FIRST]
398 > We have varied our protocol or other parameters of the simulations in
399 > order to investigate how these factors would affect the measurement of
400 > $G$'s. It turned out that while some of these parameters would not
401 > affect the results substantially, some other changes to the
402 > simulations would have a significant impact on the measurement
403 > results.
404 >
405 > In some of our simulations, we allowed $L_x$ and $L_y$ to change
406 > during equilibrating the liquid phase. Due to the stiffness of the Au
407 > slab, $L_x$ and $L_y$ would not change noticeably after
408 > equilibration. Although $L_z$ could fluctuate $\sim$1\% after a system
409 > is fully equilibrated in the NPT ensemble, this fluctuation, as well
410 > as those comparably smaller to $L_x$ and $L_y$, would not be magnified
411 > on the calculated $G$'s, as shown in Table \ref{AuThiolHexaneUA}. This
412 > insensivity to $L_i$ fluctuations allows reliable measurement of $G$'s
413 > without the necessity of extremely cautious equilibration process.
414 >
415 > As stated in our computational details, the spacing filled with
416 > solvent molecules can be chosen within a range. This allows some
417 > change of solvent molecule numbers for the same Au-butanethiol
418 > surfaces. We did this study on our Au-butanethiol/hexane
419 > simulations. Nevertheless, the results obtained from systems of
420 > different $N_{hexane}$ did not indicate that the measurement of $G$ is
421 > susceptible to this parameter. For computational efficiency concern,
422 > smaller system size would be preferable, given that the liquid phase
423 > structure is not affected.
424 >
425 > Our NIVS algorithm allows change of unphysical thermal flux both in
426 > direction and in quantity. This feature extends our investigation of
427 > interfacial thermal conductance. However, the magnitude of this
428 > thermal flux is not arbitary if one aims to obtain a stable and
429 > reliable thermal gradient. A temperature profile would be
430 > substantially affected by noise when $|J_z|$ has a much too low
431 > magnitude; while an excessively large $|J_z|$ that overwhelms the
432 > conductance capacity of the interface would prevent a thermal gradient
433 > to reach a stablized steady state. NIVS has the advantage of allowing
434 > $J$ to vary in a wide range such that the optimal flux range for $G$
435 > measurement can generally be simulated by the algorithm. Within the
436 > optimal range, we were able to study how $G$ would change according to
437 > the thermal flux across the interface. For our simulations, we denote
438 > $J_z$ to be positive when the physical thermal flux is from the liquid
439 > to metal, and negative vice versa. The $G$'s measured under different
440 > $J_z$ is listed in Table \ref{AuThiolHexaneUA} and [REF]. These
441 > results do not suggest that $G$ is dependent on $J_z$ within this flux
442 > range. The linear response of flux to thermal gradient simplifies our
443 > investigations in that we can rely on $G$ measurement with only a
444 > couple $J_z$'s and do not need to test a large series of fluxes.
445  
446 + %ADD MORE TO TABLE
447   \begin{table*}
448    \begin{minipage}{\linewidth}
449      \begin{center}
450        \caption{Computed interfacial thermal conductivity ($G$ and
451 +        $G^\prime$) values for the Au/butanethiol/hexane interface
452 +        with united-atom model and different capping agent coverage
453 +        and solvent molecule numbers at different temperatures using a
454 +        range of energy fluxes.}
455 +      
456 +      \begin{tabular}{cccccc}
457 +        \hline\hline
458 +        Thiol & $\langle T\rangle$ & & $J_z$ & $G$ & $G^\prime$ \\
459 +        coverage (\%) & (K) & $N_{hexane}$ & (GW/m$^2$) &
460 +        \multicolumn{2}{c}{(MW/m$^2$/K)} \\
461 +        \hline
462 +        0.0   & 200 & 200 & 0.96 & 43.3 & 42.7 \\
463 +              &     &     & 1.91 & 45.7 & 42.9 \\
464 +              &     & 166 & 0.96 & 43.1 & 53.4 \\
465 +        88.9  & 200 & 166 & 1.94 & 172  & 108  \\
466 +        100.0 & 250 & 200 & 0.96 & 81.8 & 67.0 \\
467 +              &     & 166 & 0.98 & 79.0 & 62.9 \\
468 +              &     &     & 1.44 & 76.2 & 64.8 \\
469 +              & 200 & 200 & 1.92 & 129  & 87.3 \\
470 +              &     &     & 1.93 & 131  & 77.5 \\
471 +              &     & 166 & 0.97 & 115  & 69.3 \\
472 +              &     &     & 1.94 & 125  & 87.1 \\
473 +        \hline\hline
474 +      \end{tabular}
475 +      \label{AuThiolHexaneUA}
476 +    \end{center}
477 +  \end{minipage}
478 + \end{table*}
479 +
480 + Furthermore, we also attempted to increase system average temperatures
481 + to above 200K. These simulations are first equilibrated in the NPT
482 + ensemble under normal pressure. As stated above, the TraPPE-UA model
483 + for hexane tends to predict a lower boiling point. In our simulations,
484 + hexane had diffculty to remain in liquid phase when NPT equilibration
485 + temperature is higher than 250K. Additionally, the equilibrated liquid
486 + hexane density under 250K becomes lower than experimental value. This
487 + expanded liquid phase leads to lower contact between hexane and
488 + butanethiol as well.[MAY NEED FIGURE] And this reduced contact would
489 + probably be accountable for a lower interfacial thermal conductance,
490 + as shown in Table \ref{AuThiolHexaneUA}.
491 +
492 + A similar study for TraPPE-UA toluene agrees with the above result as
493 + well. Having a higher boiling point, toluene tends to remain liquid in
494 + our simulations even equilibrated under 300K in NPT
495 + ensembles. Furthermore, the expansion of the toluene liquid phase is
496 + not as significant as that of the hexane. This prevents severe
497 + decrease of liquid-capping agent contact and the results (Table
498 + \ref{AuThiolToluene}) show only a slightly decreased interface
499 + conductance. Therefore, solvent-capping agent contact should play an
500 + important role in the thermal transport process across the interface
501 + in that higher degree of contact could yield increased conductance.
502 +
503 + [ADD SIGNS AND ERROR ESTIMATE TO TABLE]
504 + \begin{table*}
505 +  \begin{minipage}{\linewidth}
506 +    \begin{center}
507 +      \caption{Computed interfacial thermal conductivity ($G$ and
508          $G^\prime$) values for the Au/butanethiol/toluene interface at
509          different temperatures using a range of energy fluxes.}
510        
# Line 336 | Line 525 | comparable values, though $G^\prime$ tends to be small
525    \end{minipage}
526   \end{table*}
527  
528 < \subsection{Hexane Solvent}
528 > Besides lower interfacial thermal conductance, surfaces in relatively
529 > high temperatures are susceptible to reconstructions, when
530 > butanethiols have a full coverage on the Au(111) surface. These
531 > reconstructions include surface Au atoms migrated outward to the S
532 > atom layer, and butanethiol molecules embedded into the original
533 > surface Au layer. The driving force for this behavior is the strong
534 > Au-S interactions in our simulations. And these reconstructions lead
535 > to higher ratio of Au-S attraction and thus is energetically
536 > favorable. Furthermore, this phenomenon agrees with experimental
537 > results\cite{doi:10.1021/j100035a033,doi:10.1021/la026493y}. Vlugt
538 > {\it et al.} had kept their Au(111) slab rigid so that their
539 > simulations can reach 300K without surface reconstructions. Without
540 > this practice, simulating 100\% thiol covered interfaces under higher
541 > temperatures could hardly avoid surface reconstructions. However, our
542 > measurement is based on assuming homogeneity on $x$ and $y$ dimensions
543 > so that measurement of $T$ at particular $z$ would be an effective
544 > average of the particles of the same type. Since surface
545 > reconstructions could eliminate the original $x$ and $y$ dimensional
546 > homogeneity, measurement of $G$ is more difficult to conduct under
547 > higher temperatures. Therefore, most of our measurements are
548 > undertaken at $<T>\sim$200K.
549  
550 < Using the united-atom model, different coverages of capping agent,
551 < temperatures of simulations and numbers of solvent molecules were all
552 < investigated and Table \ref{AuThiolHexaneUA} shows the results of
553 < these computations. The number of hexane molecules in our simulations
554 < does not affect the calculations significantly. However, a very long
555 < length scale for the thermal gradient axis ($z$) may cause excessively
556 < hot or cold temperatures in the middle of the solvent region and lead
557 < to undesired phenomena such as solvent boiling or freezing, while too
558 < few solvent molecules would change the normal behavior of the liquid
559 < phase. Our $N_{hexane}$ values were chosen to ensure that these
351 < extreme cases did not happen to our simulations.
550 > However, when the surface is not completely covered by butanethiols,
551 > the simulated system is more resistent to the reconstruction
552 > above. Our Au-butanethiol/toluene system did not see this phenomena
553 > even at $<T>\sim$300K. The Au(111) surfaces have a 90\% coverage of
554 > butanethiols and have empty three-fold sites. These empty sites could
555 > help prevent surface reconstruction in that they provide other means
556 > of capping agent relaxation. It is observed that butanethiols can
557 > migrate to their neighbor empty sites during a simulation. Therefore,
558 > we were able to obtain $G$'s for these interfaces even at a relatively
559 > high temperature without being affected by surface reconstructions.
560  
561 < Table \ref{AuThiolHexaneUA} enables direct comparison between
562 < different coverages of capping agent, when other system parameters are
563 < held constant. With high coverage of butanethiol on the gold surface,
561 > \subsection{Influence of Capping Agent Coverage on $G$}
562 > To investigate the influence of butanethiol coverage on interfacial
563 > thermal conductance, a series of different coverage Au-butanethiol
564 > surfaces is prepared and solvated with various organic
565 > molecules. These systems are then equilibrated and their interfacial
566 > thermal conductivity are measured with our NIVS algorithm. Table
567 > \ref{tlnUhxnUhxnD} lists these results for direct comparison between
568 > different coverages of butanethiol.
569 >
570 > With high coverage of butanethiol on the gold surface,
571   the interfacial thermal conductance is enhanced
572   significantly. Interestingly, a slightly lower butanethiol coverage
573   leads to a moderately higher conductivity. This is probably due to
574   more solvent/capping agent contact when butanethiol molecules are
575   not densely packed, which enhances the interactions between the two
576   phases and lowers the thermal transfer barrier of this interface.
577 < % [COMPARE TO AU/WATER IN PAPER]
577 > [COMPARE TO AU/WATER IN PAPER]
578  
364 It is also noted that the overall simulation temperature is another
365 factor that affects the interfacial thermal conductance. One
366 possibility of this effect may be rooted in the decrease in density of
367 the liquid phase. We observed that when the average temperature
368 increases from 200K to 250K, the bulk hexane density becomes lower
369 than experimental value, as the system is equilibrated under NPT
370 ensemble. This leads to lower contact between solvent and capping
371 agent, and thus lower conductivity.
579  
580 < Conductivity values are more difficult to obtain under higher
581 < temperatures. This is because the Au surface tends to undergo
582 < reconstructions in relatively high temperatures. Surface Au atoms can
583 < migrate outward to reach higher Au-S contact; and capping agent
584 < molecules can be embedded into the surface Au layer due to the same
585 < driving force. This phenomenon agrees with experimental
586 < results\cite{doi:10.1021/j100035a033,doi:10.1021/la026493y}. A surface
587 < fully covered in capping agent is more susceptible to reconstruction,
381 < possibly because fully coverage prevents other means of capping agent
382 < relaxation, such as migration to an empty neighbor three-fold site.
580 > significant conductance enhancement compared to the gold/water
581 > interface without capping agent and agree with available experimental
582 > data. This indicates that the metal-metal potential, though not
583 > predicting an accurate bulk metal thermal conductivity, does not
584 > greatly interfere with the simulation of the thermal conductance
585 > behavior across a non-metal interface.
586 > The results show that the two definitions used for $G$ yield
587 > comparable values, though $G^\prime$ tends to be smaller.
588  
589 < %MAY ADD MORE DATA TO TABLE
589 >
590   \begin{table*}
591    \begin{minipage}{\linewidth}
592      \begin{center}
# Line 410 | Line 615 | relaxation, such as migration to an empty neighbor thr
615                &     &     & 1.94 & 125  & 87.1 \\
616          \hline\hline
617        \end{tabular}
618 <      \label{AuThiolHexaneUA}
618 >      \label{tlnUhxnUhxnD}
619      \end{center}
620    \end{minipage}
621   \end{table*}
622  
623 + \subsection{Influence of Chosen Molecule Model on $G$}
624 + [MAY COMBINE W MECHANISM STUDY]
625 +
626   For the all-atom model, the liquid hexane phase was not stable under NPT
627   conditions. Therefore, the simulation length scale parameters are
628   adopted from previous equilibration results of the united-atom model
# Line 457 | Line 665 | two phases and result in a much higher conductivity.
665    \end{minipage}
666   \end{table*}
667  
668 +
669 + \subsection{Mechanism of Interfacial Thermal Conductance Enhancement
670 +  by Capping Agent}
671 + [MAY INTRODUCE PROTOCOL IN METHODOLOGY/COMPUTATIONAL DETAIL]
672 +
673 +
674   %subsubsection{Vibrational spectrum study on conductance mechanism}
675   To investigate the mechanism of this interfacial thermal conductance,
676   the vibrational spectra of various gold systems were obtained and are
# Line 482 | Line 696 | interfacial thermal conductance enhancement in the all
696    all-atom model (lower panel).}
697   \label{vibration}
698   \end{figure}
699 < % 600dpi, letter size. too large?
699 > % MAY NEED TO CONVERT TO JPEG
700  
701 + \section{Conclusions}
702  
703 +
704 + [NECESSITY TO STUDY THERMAL CONDUCTANCE IN NANOCRYSTAL STRUCTURE]\cite{vlugt:cpc2007154}
705 +
706   \section{Acknowledgments}
707   Support for this project was provided by the National Science
708   Foundation under grant CHE-0848243. Computational time was provided by
709   the Center for Research Computing (CRC) at the University of Notre
710 < Dame.  \newpage
710 > Dame. \newpage
711  
712   \bibliography{interfacial}
713  

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