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# Line 112 | Line 112 | This work is an attempt to understand the mechanism an
112   reversible restructuring under exposure to moderate pressures of
113   carbon monoxide.\cite{Tao:2010}
114  
115 < This work is an attempt to understand the mechanism and timescale for
116 < surface restructuring by using molecular simulations.  Since the dynamics
115 > This work is an investigation into the mechanism and timescale for
116 > surface restructuring using molecular simulations.  Since the dynamics
117   of the process are of particular interest, we employ classical force
118   fields that represent a compromise between chemical accuracy and the
119   computational efficiency necessary to simulate the process of interest.
# Line 123 | Line 123 | and Piccolo et al.\cite{Piccolo:2004} have both observ
123   to undergo a large scale reconstruction under certain conditions.\cite{Tao:2010}
124   The Au(557) surface, because of a weaker interaction with CO, is seen as less
125   likely to undergo this kind of reconstruction. However, Peters et al.\cite{Peters:2000}
126 < and Piccolo et al.\cite{Piccolo:2004} have both observed CO induced
127 < reconstruction of a Au(111) surface. Peters et al. saw a relaxing of the
128 < 22 x $\sqrt{3}$ cell. They argued that a very small number of Au atoms
129 < would become adatoms, limiting the stress of this reconstruction while
130 < allowing the rest of the row to relax and approach the ideal (111)
131 < configuration. They did not see the ``herringbone'' pattern being greatly
126 > and Piccolo et al.\cite{Piccolo:2004} have both observed CO-induced
127 > reconstruction of a Au(111) surface. Peters et al. saw a relaxation to the
128 > 22 x $\sqrt{3}$ cell. They argued that only a few Au atoms
129 > become adatoms, limiting the stress of this reconstruction while
130 > allowing the rest to relax and approach the ideal (111)
131 > configuration. They did not see the usual herringbone pattern being greatly
132   affected by this relaxation. Piccolo et al. on the other hand, did see a
133 < disruption of the ``herringbone'' pattern as CO was adsorbed to the
133 > disruption of the herringbone pattern as CO was adsorbed to the
134   surface. Both groups suggested that the preference CO shows for
135 < low-coordinated Au particles was the primary driving force for these reconstructions.
135 > low-coordinated Au atoms was the primary driving force for the reconstruction.
136  
137  
138  
# Line 209 | Line 209 | up to the third nearest-neighbor were taken into accou
209   dynamics.\cite{Shibata:2002hh} One of EAM's strengths
210   is its sensitivity to small changes in structure. This arises
211   from the original parameterization, where the interactions
212 < up to the third nearest-neighbor were taken into account.\cite{Voter95a}
212 > up to the third nearest neighbor were taken into account.\cite{Voter95a}
213   Comparing that to the glue model of Ercolessi et al.\cite{Ercolessi88}
214 < which only parameterized up to the nearest-neighbor
214 > which is only parameterized up to the nearest-neighbor
215   interactions, EAM is a suitable choice for systems where
216   the bulk properties are of secondary importance to low-index
217   surface structures. Additionally, the similarity of EAMs functional
218   treatment of the embedding energy to standard density functional
219 < theory (DFT) approaches gives EAM, and conclusions derived, a firm theoretical footing.
219 > theory (DFT) makes fitting DFT-derived cross potentials with adsorbates somewhat easier.
220   \cite{Foiles86,PhysRevB.37.3924,Rifkin1992,mishin99:_inter,mishin01:cu,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}  
221  
222  
# Line 228 | Line 228 | Karplus model, treats CO as a rigid three site molecul
228   We used a model first proposed by Karplus and Straub to study
229   the photodissociation of CO from myoglobin because it reproduces
230   the quadrupole moment well.\cite{Straub} The Straub and
231 < Karplus model, treats CO as a rigid three site molecule with a massless M
231 > Karplus model treats CO as a rigid three site molecule with a massless M
232   site at the molecular center of mass. The geometry and interaction
233   parameters are reproduced in Table~\ref{tab:CO}. The effective
234   dipole moment, calculated from the assigned charges, is still
# Line 311 | Line 311 | a future work.\cite{Deshlahra:2012,StreitzMintmire:199
311   (111) surfaces are displayed in Table~\ref{tab:co_energies}.  Charge transfer
312   and polarization are neglected in this model, although these effects are likely to
313   affect binding energies and binding site preferences, and will be addressed in
314 < a future work.\cite{Deshlahra:2012,StreitzMintmire:1994}
314 > future work.
315  
316   %Table  of Parameters
317   %Pt Parameter Set 9
# Line 353 | Line 353 | Our Pt system has dimensions of 18~x~24~x~9 in a box o
353   \end{table}
354  
355   \subsection{Pt(557) and Au(557) metal interfaces}
356 < Our Pt system has dimensions of 18~x~24~x~9 in a box of size
357 < 54.482~x~50.046~x~120.88~\AA while our Au system has
358 < dimensions of 18~x~24~x~8 in a box of size 57.4~x~51.9285~x~100~\AA.
356 > Our Pt system is an orthorhombic periodic box of dimensions
357 > 54.482~x~50.046~x~120.88~\AA~while our Au system has
358 > dimensions of 57.4~x~51.9285~x~100~\AA.
359   The systems are arranged in a FCC crystal that have been cut
360   along the (557) plane so that they are periodic in the {\it x} and
361   {\it y} directions, and have been oriented to expose two aligned
362   (557) cuts along the extended {\it z}-axis.  Simulations of the
363   bare metal interfaces at temperatures ranging from 300~K to
364 < 1200~K were performed to observe the relative
364 > 1200~K were performed to confirm the relative
365   stability of the surfaces without a CO overlayer.  
366  
367 < The different bulk melting temperatures (1337~K for Au
368 < and 2045~K for Pt) suggest that any possible reconstruction should happen at
367 > The different bulk melting temperatures (1337~K for Au\cite{Au:melting}
368 > and 2045~K for Pt\cite{Pt:melting}) suggest that any possible reconstruction should happen at
369   different temperatures for the two metals.  The bare Au and Pt surfaces were
370   initially run in the canonical (NVT) ensemble at 800~K and 1000~K
371   respectively for 100 ps. The two surfaces were relatively stable at these
# Line 373 | Line 373 | coverage. Higher coverages resulted in CO double layer
373   mobility on addition of CO. Each surface was then dosed with different concentrations of CO
374   that was initially placed in the vacuum region.  Upon full adsorption,
375   these concentrations correspond to 0\%, 5\%, 25\%, 33\%, and 50\% surface
376 < coverage. Higher coverages resulted in CO double layer formation, which introduces artifacts that are not relevant to (557) reconstruction.
376 > coverage. Higher coverages resulted in the formation of a double layer of CO,
377 > which introduces artifacts that are not relevant to (557) reconstruction.
378   Because of the difference in binding energies, nearly all of the CO was bound to the Pt surface, while
379   the Au surfaces often had a significant CO population in the gas
380   phase.  These systems were allowed to reach thermal equilibrium (over
381 < 5 ns) before being run in the microcanonical (NVE) ensemble for
382 < data collection. All of the systems examined had at least 40 ns in the
383 < data collection stage, although simulation times for some of the
384 < systems exceeded 200~ns.  Simulations were run using the open
381 > 5~ns) before being run in the microcanonical (NVE) ensemble for
382 > data collection. All of the systems examined had at least 40~ns in the
383 > data collection stage, although simulation times for some Pt of the
384 > systems exceeded 200~ns.  Simulations were carried out using the open
385   source molecular dynamics package, OpenMD.\cite{Ewald,OOPSE}
386  
387 < % Just results, leave discussion for discussion section
388 < % structure
389 < %       Pt: step wandering, double layers, no triangular motifs
390 < %       Au: step wandering, no double layers
391 < % dynamics
391 < %       diffusion
392 < %       time scale, formation, breakage
387 >
388 >
389 >
390 > % RESULTS
391 > %
392   \section{Results}
393   \subsection{Structural remodeling}
394 + The surfaces of both systems, upon dosage of CO, began
395 + to undergo remodeling that was not observed in the bare
396 + metal system. The surfaces which were not exposed to CO
397 + did experience minor roughening of the step-edge because
398 + of the elevated temperatures, but the
399 + (557) lattice was well-maintained throughout the simulation
400 + time. The Au systems were limited to greater amounts of
401 + roughening, i.e. breakup of the step-edge, and some step
402 + wandering. The lower coverage Pt systems experienced
403 + similar restructuring but to a greater extent when
404 + compared to the Au systems. The 50\% coverage
405 + Pt system was unique among our simulations in that it
406 + formed numerous double layers through step coalescence,
407 + similar to results reported by Tao et al.\cite{Tao:2010}
408 +
409 +
410   \subsubsection{Step wandering}
411 + The 0\% coverage surfaces for both metals showed minimal
412 + movement at their respective run temperatures. As the CO
413 + coverage increased however, the mobility of the surface,
414 + adatoms and step-edges alike, also increased. Additionally,
415 + at the higher coverages on both metals, there was more
416 + step-wandering. Except for the 50\% Pt system, the step-edges
417 + did not coalesce in any of the other simulations, instead preferring
418 + to keep nearly the same distance between steps as in the
419 + original (557) lattice. Previous work by Williams et al.\cite{Williams:1991, Williams:1994}
420 + highlights the repulsion that exists between step-edges even
421 + when no direct interactions are present in the system. This
422 + repulsion arises because the entropy of the step-edges is constrained,
423 + since step-edge crossing is not allowed. This entropic repulsion
424 + does not completely define the interactions between steps,
425 + which is why some surfaces will undergo step coalescence,
426 + where additional attractive interactions can overcome the
427 + repulsion\cite{Williams:1991} and others will not. The presence and concentration
428 + of adsorbates, as shown in this work, can affect these step interactions, potentially
429 + leading to a new surface structure as the thermodynamic minimum.
430 +
431   \subsubsection{Double layers}
432   Tao et al. have shown experimentally that the Pt(557) surface
433 < undergoes two separate reconstructions upon CO
434 < adsorption.\cite{Tao:2010} The first involves a doubling of
435 < the step height and plateau length. Similar behavior has been
436 < seen to occur on numerous surfaces at varying conditions: Ni(977), Si(111).
437 < \cite{Williams:1994,Williams:1991,Pearl} Of the two systems
438 < we examined, the Pt system showed a larger amount of
439 < reconstruction when compared to the Au system. The amount
440 < of reconstruction is correlated to the amount of CO
433 > undergoes two separate reconstructions upon CO adsorption.\cite{Tao:2010}
434 > The first involves a doubling of the step height and plateau length.
435 > Similar behavior has been seen to occur on numerous surfaces
436 > at varying conditions: Ni(977), Si(111).\cite{Williams:1994,Williams:1991,Pearl}
437 > Of the two systems we examined, the Pt system showed a greater
438 > propensity for reconstruction when compared to the Au system
439 > because of the larger surface mobility and extent of step wandering.
440 > The amount of reconstruction is correlated to the amount of CO
441   adsorbed upon the surface.  This appears to be related to the
442 < effect that adsorbate coverage has on edge breakup and on the surface
443 < diffusion of metal adatoms. While both systems displayed step-edge
444 < wandering, only the Pt surface underwent the doubling seen by
445 < Tao et al. within the time scales studied here.  
446 < Only the 50\% coverage Pt system exhibited
447 < a complete doubling in the time scales we
448 < were able to monitor. Over longer periods (150~ns) two more double layers formed on this interface.
449 < Although double layer formation did not occur in the other Pt systems, they show
450 < more lateral movement of the step-edges
451 < compared to their Au counterparts. The 50\% Pt system is highlighted
417 < in Figure \ref{fig:reconstruct} at various times along the simulation
418 < showing the evolution of a step-edge.
442 > effect that adsorbate coverage has on edge breakup and on the
443 > surface diffusion of metal adatoms. While both systems displayed
444 > step-edge wandering, only the 50\% Pt surface underwent the
445 > doubling seen by Tao et al.\cite{Tao:2010} within the time scales studied here.
446 > Over longer periods, (150~ns) two more double layers formed
447 > on this interface. Although double layer formation did not occur
448 > in the other Pt systems, they show more step-wandering and
449 > general roughening compared to their Au counterparts. The
450 > 50\% Pt system is highlighted in Figure \ref{fig:reconstruct} at
451 > various times along the simulation showing the evolution of a step-edge.
452  
453   The second reconstruction on the Pt(557) surface observed by
454   Tao involved the formation of triangular clusters that stretched
455   across the plateau between two step-edges. Neither system, within
456 < the 40~ns time scale, experienced this reconstruction.
456 > the 40~ns time scale or the extended simulation time of 150~ns for
457 > the 50\% Pt system, experienced this reconstruction.
458  
459   \subsection{Dynamics}
460 < Previous atomistic simulations of stepped surfaces were largely
461 < concerned with the energetics and structures at different conditions
460 > Previous atomistic simulations of stepped surfaces dealt largely
461 > with the energetics and structures at different conditions
462   \cite{Williams:1991,Williams:1994}. Consequently, the most common
463 < technique has been Monte Carlo. Monte Carlo gives an efficient
463 > technique utilized to date has been Monte Carlo sampling. Monte Carlo gives an efficient
464   sampling of the equilibrium thermodynamic landscape at the expense
465 < of ignoring the dynamics of the system. Previous work by Pearl and
466 < Sibener\cite{Pearl}, using STM, has been able to show the coalescing
465 > of ignoring the dynamics of the system. Previous experimental work by Pearl and
466 > Sibener\cite{Pearl}, using STM, has been able to capture the coalescing
467   of steps on Ni(977). The time scale of the image acquisition,
468 < $\sim$70 s/image provides an upper bound for the time required for
468 > $\sim$70~s/image provides an upper bound for the time required for
469   the doubling to occur. In this section we give data on dynamic and
470   transport properties, e.g. diffusion, layer formation time, etc.
471  
# Line 439 | Line 473 | arising from the individual movements, primarily throu
473   \subsubsection{Transport of surface metal atoms}
474   %forcedSystems/stepSeparation
475   The movement or wandering of a step-edge is a cooperative effect
476 < arising from the individual movements, primarily through surface
477 < diffusion, of the atoms making up the steps An ideal metal surface
444 < displaying a low index facet, (111) or (100) is unlikely to experience
476 > arising from the individual movements of the atoms making up the steps. An ideal metal surface
477 > displaying a low index facet, (111) or (100), is unlikely to experience
478   much surface diffusion because of the large energetic barrier that must
479 < be overcome to lift an atom out of the surface. The presence of step-edges
480 < on higher-index surfaces provide a source for mobile metal atoms.
479 > be overcome to lift an atom out of the surface. The presence of step-edges and other surface features
480 > on higher-index facets provide a lower energy source for mobile metal atoms.
481   Breaking away from the step-edge on a clean surface still imposes an
482 < energetic penalty around $\sim$~40 kcal/mol, but is much less than lifting
482 > energetic penalty around $\sim$~40 kcal/mol, but this is significantly easier than lifting
483   the same metal atom vertically out of the surface,  \textgreater~60 kcal/mol.
484   The penalty lowers significantly when CO is present in sufficient quantities
485 < on the surface. For certain distributions of CO, the penalty can be as low as
485 > on the surface. For certain distributions of CO, the penalty can fall as low as
486   $\sim$~20 kcal/mol. Once an adatom exists on the surface, the barrier for
487 < diffusion is negligible ( \textless~4 kcal/mol) and these adatoms are well
488 < able to explore the terrace before rejoining either the original step-edge or becoming a part
489 < of a different edge. Atoms traversing separate terraces is a more difficult
490 < process, but can be overcome through a joining and lifting stage which is
491 < examined in the discussion section. By tracking the mobility of individual
487 > diffusion is negligible ( \textless~4 kcal/mol for a Pt adatom). These adatoms are
488 > able to explore the terrace before rejoining either the original step-edge or
489 > becoming a part of a different edge. It is a more difficult process for an atom
490 > to traverse to a separate terrace although the presence of CO can lower the
491 > energy barrier required to lift or lower the adatom. By tracking the mobility of individual
492   metal atoms on the Pt and Au surfaces we were able to determine the relative
493   diffusion constants, as well as how varying coverages of CO affect the diffusion. Close
494   observation of the mobile metal atoms showed that they were typically in
495   equilibrium with the step-edges, dynamically breaking apart and rejoining the edges.
496   At times, their motion was concerted and two or more adatoms would be
497 < observed moving together across the surfaces. The primary challenge in
465 < quantifying the overall surface mobility was in defining ``mobile" vs. ``static" atoms.
497 > observed moving together across the surfaces.
498  
499 < A particle was considered mobile once it had traveled more than 2~\AA~
499 > A particle was considered ``mobile'' once it had traveled more than 2~\AA~
500   between saved configurations of the system (typically 10-100 ps). An atom that was
501 < truly mobile would typically travel much greater distances than this, but the 2~\AA~ cutoff
502 < was to prevent swamping the diffusion data with the in-place vibrational
503 < movement of buried atoms. Diffusion on  a surface is strongly affected by
501 > truly mobile would typically travel much greater distances than this, but the 2~\AA~cutoff
502 > was used to prevent swamping the diffusion data with the in-place vibrational
503 > movement of buried atoms. Diffusion on a surface is strongly affected by
504   local structures and in this work, the presence of single and double layer
505   step-edges causes the diffusion parallel to the step-edges to be different
506   from the diffusion perpendicular to these edges. Parallel and perpendicular
507   diffusion constants are shown in Figure \ref{fig:diff}.
508  
509 + The lack of a definite trend in the Au diffusion data is likely due
510 + to the weaker bonding between Au and CO. This leads to a lower
511 + coverage ({\it x}-axis) when compared to dosage amount, which
512 + then further limits the affects of the surface diffusion. The correlation
513 + between coverage and Pt diffusion rates conversely shows a
514 + definite trend marred by the highest coverage surface. Two
515 + explanations arise for this drop. First, upon a visual inspection of
516 + the system, after a double layer has been formed, it maintains its
517 + stability strongly and is no longer a good source for adatoms. By
518 + performing the same diffusion calculation but on a shorter run time
519 + (20~ns), only including data before the formation of the double layer,
520 + provides a $\mathbf{D}_{\perp}$ diffusion constant of $1.69~\pm~0.08$
521 + and a $\mathbf{D}_{\parallel}$ diffusion constant of $6.30~\pm~0.08$.
522 + This places the parallel diffusion constant more closely in line with the
523 + expected trend, while the perpendicular diffusion constant does not
524 + drop as far. A secondary explanation arising from our analysis of the
525 + mechanism of double layer formation show the affect that CO on the
526 + surface has with respect to overcoming surface diffusion of Pt. If the
527 + coverage is too sparse, the Pt engages in minimal interactions and
528 + thus minimal diffusion. As coverage increases, there are more favorable
529 + arrangements of CO on the surface allowing the formation of a path,
530 + a minimum energy trajectory, for the adatom to explore the surface.
531 + As the CO is constantly moving on the surface, this path is constantly
532 + changing. If the coverage becomes too great, the paths could
533 + potentially be clogged leading to a decrease in diffusion despite
534 + their being more adatoms and step-wandering.
535 +
536   \subsubsection{Dynamics of double layer formation}
537 < The increased amounts of diffusion on Pt at the higher CO coverages plays a primary role in the formation of the double layers observed on Pt. However, this is not a complete explanation as seen by the 33\% Pt system which has higher diffusion constants but did not show any signs of undergoing the doubling. This difference will be explored more fully in the discussion. On the 50\% Pt system, three separate layers were formed over the extended run time of this system. Previous experimental work has given some insight into the upper bounds of the time required for step coalescing.\cite{Williams:1991,Pearl} In this system, as seen in Figure \ref{fig:reconstruct}, the first appearance of a double layer, a nodal site, appears at 19 ns into the simulation. Within 12 ns, nearly half of the step has formed the double layer and by 86 ns, the complete layer has been smoothed. The double layer could be considered ``complete" by 37 ns but is a bit rough or wavy. From the appearance of the first node to the first observed double layer, ignoring roughening, the process took $\sim$20 ns. Another $\sim$40 ns was necessary for the layer to completely straighten. The other two layers in this simulation form over a period of 22 ns and 42 ns respectively. Comparing this to the upper bounds of the image scan, it is likely that aspects of this reconstruction occur very quickly. A possible explanation for this rapid reconstruction is the elevated temperatures our systems were run at. It is likely that the process would take longer at lower temperatures and is an area of exploration for future work.
537 > The increased diffusion on Pt at the higher
538 > CO coverages plays a primary role in double layer formation. However, this is not
539 > a complete explanation -- the 33\%~Pt system
540 > has higher diffusion constants but did not show
541 > any signs of edge doubling in the observed run time. On the
542 > 50\%~Pt system, one layer formed within the first 40~ns of simulation time, while two more were formed as the system was run for an additional
543 > 110~ns (150~ns total). Previous experimental
544 > work gives insight into the upper bounds of the
545 > time required for step coalescence.\cite{Williams:1991,Pearl}
546 > In this system, as seen in Figure \ref{fig:reconstruct}, the first
547 > appearance of a double layer, appears at 19~ns
548 > into the simulation. Within 12~ns of this nucleation event, nearly half of the step has
549 > formed the double layer and by 86~ns, the complete layer
550 > has been flattened out. The double layer could be considered
551 > ``complete" by 37~ns but remains a bit rough. From the
552 > appearance of the first nucleation event to the first observed double layer, the process took $\sim$20~ns. Another
553 > $\sim$40~ns was necessary for the layer to completely straighten.
554 > The other two layers in this simulation formed over periods of
555 > 22~ns and 42~ns respectively. Comparing this to the upper
556 > bounds of the image scan, it is likely that most aspects of this
557 > reconstruction occur very rapidly. A possible explanation
558 > for this rapid reconstruction is the elevated temperatures
559 > under which our systems were simulated. It is probable that the process would
560 > take longer at lower temperatures.
561  
562   %Evolution of surface
563   \begin{figure}[H]
564   \includegraphics[width=\linewidth]{ProgressionOfDoubleLayerFormation_yellowCircle.png}
565   \caption{The Pt(557) / 50\% CO system at a sequence of times after
566 <  initial exposure to the CO: (a) 258 ps, (b) 19 ns, (c) 31.2 ns, and
567 <  (d) 86.1 ns. Disruption of the (557) step-edges occurs quickly.  The
566 >  initial exposure to the CO: (a) 258~ps, (b) 19~ns, (c) 31.2~ns, and
567 >  (d) 86.1~ns. Disruption of the (557) step-edges occurs quickly.  The
568    doubling of the layers appears only after two adjacent step-edges
569    touch.  The circled spot in (b) nucleated the growth of the double
570    step observed in the later configurations.}
# Line 509 | Line 591 | In this paper we have shown that we were able to accur
591  
592   %Discussion
593   \section{Discussion}
594 < In this paper we have shown that we were able to accurately model the initial reconstruction of the
594 > We have shown that the classical potential models are able to model the initial reconstruction of the
595   Pt(557) surface upon CO adsorption as shown by Tao et al. \cite{Tao:2010}. More importantly, we
596 < were able to observe the dynamic processes necessary for this reconstruction.
596 > were able to observe features of the dynamic processes necessary for this reconstruction.
597  
598   \subsection{Mechanism for restructuring}
599   Since the Au surface showed no large scale restructuring throughout
600   our simulation time our discussion will focus on the 50\% Pt-CO system
601   which did undergo the doubling featured in Figure \ref{fig:reconstruct}.
602 < Comparing the results from this simulation to those reported previously by
603 < Tao et al.\cite{Tao:2010} the similarities in the Pt-CO system are quite
604 < strong. As shown in Figure \ref{fig:reconstruct}, the simulated Pt
605 < system exposed to a large dosage of CO will restructure by doubling the terrace
606 < widths and step heights. The restructuring occurs in a piecemeal fashion, one to two Pt atoms at a time and as such is a fairly stochastic event.
607 < Looking at individual configurations of the system, the adatoms either
602 > Similarities of our results to those reported previously by
603 > Tao et al.\cite{Tao:2010} are quite
604 > strong. The simulated Pt
605 > system exposed to a large dosage of CO readily restructures by doubling the terrace
606 > widths and step heights. The restructuring occurs in a piecemeal fashion, one to two Pt atoms at a time, but is rapid on experimental timescales.
607 > The adatoms either
608   break away from the step-edge and stay on the lower terrace or they lift
609 < up onto the higher terrace. Once ``free'', they will diffuse on the terrace
609 > up onto a higher terrace. Once ``free'', they diffuse on the terrace
610   until reaching another step-edge or rejoining their original edge.  
611   This combination of growth and decay of the step-edges is in a state of
612   dynamic equilibrium. However, once two previously separated edges
613 < meet as shown in Figure 1.B, this meeting point tends to act as a focus
614 < or growth point for the rest of the edge to meet up, akin to that of a zipper.
533 < From the handful of cases where a double layer was formed during the
534 < simulation, measuring from the initial appearance of a growth point, the
535 < double layer tends to be fully formed within $\sim$35 ns.
613 > meet as shown in Figure 1.B, this nucleates the rest of the edge to meet up, forming a double layer.
614 > From simulations which exhibit a double layer, the time delay from the initial appearance of a nucleation point to a fully formed double layer is $\sim$35~ns.
615  
616   A number of possible mechanisms exist to explain the role of adsorbed
617   CO in restructuring the Pt surface. Quadrupolar repulsion between adjacent
618 < CO molecules adsorbed on the surface is one likely possibility.  However,
618 > CO molecules adsorbed on the surface is one possibility.  However,
619   the quadrupole-quadrupole interaction is short-ranged and is attractive for
620   some orientations.  If the CO molecules are ``locked'' in a specific orientation
621   relative to each other, through atop adsorption for example, this explanation
622 < gains some weight.  The energetic repulsion between two CO located a
623 < distance of 2.77~\AA~apart (nearest-neighbor distance of Pt) with both in
624 < a  vertical orientation is 8.62 kcal/mol. Moving the CO apart to the second
622 > gains some credence.  The energetic repulsion between two CO located a
623 > distance of 2.77~\AA~apart (nearest-neighbor distance of Pt) and both in
624 > a  vertical orientation, is 8.62 kcal/mol. Moving the CO apart to the second
625   nearest-neighbor distance of 4.8~\AA~or 5.54~\AA~drops the repulsion to
626   nearly 0 kcal/mol. Allowing the CO's to leave a purely vertical orientation
627   also quickly drops the repulsion, a minimum of 6.2 kcal/mol is reached at $\sim$24 degrees between the 2 CO when the carbons are locked at a distance of 2.77 \AA apart.
628   As mentioned above, the energy barrier for surface diffusion
629 < of a Pt adatom is only 4 kcal/mol. So this repulsion between CO can help
629 > of a Pt adatom is only 4 kcal/mol. So this repulsion between neighboring CO molecules can
630   increase the surface diffusion. However, the residence time of CO on Pt was
631   examined and while the majority of the CO is on or near the surface throughout
632 < the run, it is extremely mobile. This mobility suggests that the CO are more
633 < likely to shift their positions without necessarily dragging the Pt along with them.
632 > the run, most molecules are mobile. This mobility suggests that the CO are more
633 > likely to shift their positions without necessarily the Pt along with them.
634  
635   Another possible and more likely mechanism for the restructuring is in the
636   destabilization of strong Pt-Pt interactions by CO adsorbed on surface
# Line 563 | Line 642 | are displayed in Table \ref{tab:energies}. These value
642   of Pt atoms was then examined to determine possible barriers. Because
643   the movement was forced along a pre-defined reaction coordinate that may differ
644   from the true minimum of this path, only the beginning and ending energies
645 < are displayed in Table \ref{tab:energies}. These values suggest that the presence of CO at suitable
645 > are displayed in Table \ref{tab:rxcoord} with the corresponding beginning and ending reaction coordinates in Figure \ref{fig:lambdaTable}. These values suggest that the presence of CO at suitable
646   locations can lead to lowered barriers for Pt breaking apart from the step-edge.
647   Additionally, as highlighted in Figure \ref{fig:lambda}, the presence of CO makes the
648   burrowing and lifting of adatoms favorable, whereas without CO, the process is neutral
# Line 571 | Line 650 | in terms of energetics.
650  
651   %lambda progression of Pt -> shoving its way into the step
652   \begin{figure}[H]
653 < \includegraphics[width=\linewidth]{lambdaProgression_atopCO.png}
653 > \includegraphics[width=\linewidth]{lambdaProgression_atopCO_withLambda.png}
654   \caption{A model system of the Pt(557) surface was used as the framework
655   for exploring energy barriers along a reaction coordinate. Various numbers,
656   placements, and rotations of CO were examined as they affect Pt movement.
# Line 582 | Line 661 | in terms of energetics.
661   \label{fig:lambda}
662   \end{figure}
663  
664 + \begin{figure}[H]
665 + \includegraphics[totalheight=0.9\textheight]{lambdaTable.png}
666 + \caption{}
667 + \label{fig:lambdaTable}
668 + \end{figure}
669  
670  
671 +
672 + \begin{table}[H]
673 + \caption{}
674 + \centering
675 + \begin{tabular}{| c || c | c | c | c |}
676 + \hline
677 + \textbf{System} & 0.5~\AA & 2~\AA & 4~\AA & 6~\AA \\
678 + \hline
679 + A & 6.38 & 38.34 & 44.65 & 47.60 \\
680 + B & -20.72 & 0.67 & 17.33 & 24.28 \\
681 + C & 4.92 & 27.02 & 41.05 & 47.43 \\
682 + D & -16.97 & 21.21 & 35.87 & 40.93 \\
683 + E & 5.92 & 30.96 & 43.69 & 49.23 \\
684 + F & 8.53 & 46.23 & 53.98 & 65.55 \\
685 + \hline
686 + \end{tabular}
687 + \label{tab:rxcoord}
688 + \end{table}
689 +
690 +
691   \subsection{Diffusion}
692 < As shown in the results section, the diffusion parallel to the step-edge tends to be
693 < much larger than that perpendicular to the step-edge, likely because of the dynamic
692 > The diffusion parallel to the step-edge tends to be
693 > much larger than that perpendicular to the step-edge. The dynamic
694   equilibrium that is established between the step-edge and adatom interface. The coverage
695   of CO also appears to play a slight role in relative rates of diffusion, as shown in Figure \ref{fig:diff}.
696   The
# Line 602 | Line 706 | more likely a growth point is to be formed.
706   %breaking of the double layer upon removal of CO
707   \begin{figure}[H]
708   \includegraphics[width=\linewidth]{doubleLayerBreaking_greenBlue_whiteLetters.png}
709 < %:
606 < \caption{(A)  0 ps, (B) 100 ps, (C) 1 ns, after the removal of CO. The presence of the CO
709 > \caption{(A)  0~ps, (B) 100~ps, (C) 1~ns, after the removal of CO. The presence of the CO
710   helped maintain the stability of the double layer and upon removal the two layers break
711   and begin separating. The separation is not a simple pulling apart however, rather
712   there is a mixing of the lower and upper atoms at the edge.}
# Line 614 | Line 717 | more likely a growth point is to be formed.
717  
718  
719   %Peaks!
720 < \begin{figure}[H]
721 < \includegraphics[width=\linewidth]{doublePeaks_noCO.png}
722 < \caption{At the initial formation of this double layer  ( $\sim$ 37 ns) there is a degree
723 < of roughness inherent to the edge. The next $\sim$ 40 ns show the edge with
724 < aspects of waviness and by 80 ns the double layer is completely formed and smooth. }
725 < \label{fig:peaks}
726 < \end{figure}
720 > %\begin{figure}[H]
721 > %\includegraphics[width=\linewidth]{doublePeaks_noCO.png}
722 > %\caption{At the initial formation of this double layer  ( $\sim$ 37 ns) there is a degree
723 > %of roughness inherent to the edge. The next $\sim$ 40 ns show the edge with
724 > %aspects of waviness and by 80 ns the double layer is completely formed and smooth. }
725 > %\label{fig:peaks}
726 > %\end{figure}
727  
728  
729   %Don't think I need this

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