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Revision 3869 by jmichalk, Tue Mar 5 22:54:02 2013 UTC vs.
Revision 3870 by jmichalk, Fri Mar 8 22:06:22 2013 UTC

# Line 120 | Line 120 | to reconstruct under certain conditions. The Au(557) s
120   Since restructuring typically occurs as a result of specific interactions of the
121   catalyst with adsorbates, in this work, two metal systems exposed
122   to carbon monoxide were examined. The Pt(557) surface has already been shown
123 < to reconstruct under certain conditions. The Au(557) surface, because
124 < of a weaker interaction with CO, is less likely to undergo this kind
125 < of reconstruction.  
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
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
134 > surface. Both groups suggested that the preference CO shows for
135 > low-coordinated Au particles was the primary driving force for these reconstructions.
136  
137  
138  
# Line 196 | Line 206 | dynamics.\cite{Shibata:2002hh} All of these potentials
206   melting,\cite{Belonoshko00,sankaranarayanan:155441,Sankaranarayanan:2005lr}
207   fracture,\cite{Shastry:1996qg,Shastry:1998dx} crack
208   propagation,\cite{BECQUART:1993rg} and alloying
209 < dynamics.\cite{Shibata:2002hh} All of these potentials have their
210 < strengths and weaknesses.  \cite{Foiles86,PhysRevB.37.3924,Rifkin1992,mishin99:_inter,mishin01:cu,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}  
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}
213 > Comparing that to the glue model of Ercolessi et al.\cite{Ercolessi88}
214 > which 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.
220 > \cite{Foiles86,PhysRevB.37.3924,Rifkin1992,mishin99:_inter,mishin01:cu,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}  
221  
222 +
223 +
224 +
225   \subsection{Carbon Monoxide model}
226   Previous explanations for the surface rearrangements center on
227   the large linear quadrupole moment of carbon monoxide.\cite{Tao:2010}  
# Line 330 | Line 353 | a future work.\cite{Deshlahra:2012,StreitzMintmire:199
353   \end{table}
354  
355   \subsection{Pt(557) and Au(557) metal interfaces}
356 <
357 < Our model systems are composed of 3888 Pt atoms and 3384 Au atoms in a
358 < FCC crystal that have been cut along the (557) plane so that they are
359 < periodic in the {\it x} and {\it y} directions, and have been oriented
360 < to expose two aligned (557) cuts along the extended {\it
361 <  z}-axis.  Simulations of the bare metal interfaces at temperatures
362 < ranging from 300~K to 1200~K were performed to observe the relative
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.
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
365   stability of the surfaces without a CO overlayer.  
366  
367   The different bulk melting temperatures (1337~K for Au
# Line 381 | Line 406 | Only the 50~\% coverage Pt system exhibited
406   diffusion of metal adatoms. While both systems displayed step-edge
407   wandering, only the Pt surface underwent the doubling seen by
408   Tao et al. within the time scales studied here.  
409 < Only the 50~\% coverage Pt system exhibited
409 > Only the 50\% coverage Pt system exhibited
410   a complete doubling in the time scales we
411   were able to monitor. Over longer periods (150~ns) two more double layers formed on this interface.
412   Although double layer formation did not occur in the other Pt systems, they show
413   more lateral movement of the step-edges
414 < compared to the Au systems. The 50\% Pt system is highlighted
414 > compared to their Au counterparts. The 50\% Pt system is highlighted
415   in Figure \ref{fig:reconstruct} at various times along the simulation
416   showing the evolution of a step-edge.
417  
# Line 396 | Line 421 | While atomistic-like simulations of stepped surfaces h
421   the 40~ns time scale, experienced this reconstruction.
422  
423   \subsection{Dynamics}
424 < While atomistic-like simulations of stepped surfaces have been
425 < performed before, they tend to be performed using Monte Carlo
426 < techniques\cite{Williams:1991,Williams:1994}. This allows them
427 < to efficiently sample the equilibrium thermodynamic landscape
428 < but at the expense of ignoring the dynamics of the system. Previous
429 < work by Pearl and Sibener\cite{Pearl}, using STM, has been able to
430 < visualize the coalescing of steps of Ni(977). The time scale of the image
431 < acquisition, $\sim$70 s/image provides an upper bounds for the time
432 < required for the doubling to actually occur. Statistical treatments of step-edges
433 < are adept at analyzing such systems. However, in a system where
434 < the number of steps is limited, examining the individual atoms that make
410 < up the steps can provide useful information as well.
424 > Previous atomistic simulations of stepped surfaces were largely
425 > concerned with the energetics and structures at different conditions
426 > \cite{Williams:1991,Williams:1994}. Consequently, the most common
427 > technique has been Monte Carlo. Monte Carlo gives an efficient
428 > sampling of the equilibrium thermodynamic landscape at the expense
429 > of ignoring the dynamics of the system. Previous work by Pearl and
430 > Sibener\cite{Pearl}, using STM, has been able to show the coalescing
431 > of steps on Ni(977). The time scale of the image acquisition,
432 > $\sim$70 s/image provides an upper bound for the time required for
433 > the doubling to occur. In this section we give data on dynamic and
434 > transport properties, e.g. diffusion, layer formation time, etc.
435  
436  
437   \subsubsection{Transport of surface metal atoms}
438   %forcedSystems/stepSeparation
439   The movement or wandering of a step-edge is a cooperative effect
440   arising from the individual movements, primarily through surface
441 < diffusion, of the atoms making up the step. An ideal metal surface
441 > diffusion, of the atoms making up the steps An ideal metal surface
442   displaying a low index facet, (111) or (100) is unlikely to experience
443   much surface diffusion because of the large energetic barrier that must
444   be overcome to lift an atom out of the surface. The presence of step-edges
445   on higher-index surfaces provide a source for mobile metal atoms.
446   Breaking away from the step-edge on a clean surface still imposes an
447 < energetic penalty around $\sim$~40 kcal/mole, but is much less than lifting
448 < the same metal atom out from the surface,  \textgreater~60 kcal/mole, and
449 < the penalty lowers even further when CO is present in sufficient quantities
450 < on the surface. For certain tested distributions of CO, the penalty was lowered
451 < to $\sim$~20 kcal/mole. Once an adatom exists on the surface, its barrier for
452 < diffusion is negligible ( \textless~4 kcal/mole) and is well able to explore the
453 < terrace before potentially rejoining its original step-edge or becoming a part
447 > energetic penalty around $\sim$~40 kcal/mol, but is much less than lifting
448 > the same metal atom vertically out of the surface,  \textgreater~60 kcal/mol.
449 > The penalty lowers significantly when CO is present in sufficient quantities
450 > on the surface. For certain distributions of CO, the penalty can be as low as
451 > $\sim$~20 kcal/mol. Once an adatom exists on the surface, the barrier for
452 > diffusion is negligible ( \textless~4 kcal/mol) and these adatoms are well
453 > able to explore the terrace before rejoining either the original step-edge or becoming a part
454   of a different edge. Atoms traversing separate terraces is a more difficult
455   process, but can be overcome through a joining and lifting stage which is
456   examined in the discussion section. By tracking the mobility of individual
457   metal atoms on the Pt and Au surfaces we were able to determine the relative
458 < diffusion rates and how varying coverages of CO affected the rates. Close
458 > diffusion constants, as well as how varying coverages of CO affect the diffusion. Close
459   observation of the mobile metal atoms showed that they were typically in
460 < equilibrium with the step-edges, constantly breaking apart and rejoining.
461 < At times their motion was concerted and two or more adatoms would be
460 > equilibrium with the step-edges, dynamically breaking apart and rejoining the edges.
461 > At times, their motion was concerted and two or more adatoms would be
462   observed moving together across the surfaces. The primary challenge in
463   quantifying the overall surface mobility was in defining ``mobile" vs. ``static" atoms.
464  
465   A particle was considered mobile once it had traveled more than 2~\AA~
466 < between saved configurations of the system (10-100 ps). An atom that was
467 < truly mobile would typically travel much greater than this, but the 2~\AA~ cutoff
468 < was to prevent the in-place vibrational movement of non-surface atoms from
469 < being included in the analysis. Diffusion on  a surface is strongly affected by
470 < local structures and in this work the presence of single and double layer
466 > between saved configurations of the system (typically 10-100 ps). An atom that was
467 > truly mobile would typically travel much greater distances than this, but the 2~\AA~ cutoff
468 > was to prevent swamping the diffusion data with the in-place vibrational
469 > movement of buried atoms. Diffusion on  a surface is strongly affected by
470 > local structures and in this work, the presence of single and double layer
471   step-edges causes the diffusion parallel to the step-edges to be different
472 < from the diffusion perpendicular to these edges. This led us to compute
473 < those diffusions separately as seen in Figure \ref{fig:diff}.
472 > from the diffusion perpendicular to these edges. Parallel and perpendicular
473 > diffusion constants are shown in Figure \ref{fig:diff}.
474  
475 < \subsubsection{Double layer formation}
476 < The increased amounts of diffusion on Pt at the higher CO coverages appears
453 < to play a primary role in the formation of double layers, although this conclusion
454 < does not explain the 33\% coverage Pt system. On the 50\% system, three
455 < separate layers were formed over the extended run time of this system. As
456 < mentioned earlier, previous experimental work has given some insight into the
457 < upper bounds of the time required for enough atoms to move around to allow two
458 < steps to coalesce\cite{Williams:1991,Pearl}. As seen in Figure \ref{fig:reconstruct},
459 < the first appearance of a double layer, a nodal site, appears at 19 ns into the
460 < simulation. Within 12 ns, nearly half of the step has formed the double layer and
461 < by 86 ns, a smooth complete layer has formed. The double layer is ``complete" by
462 < 37 ns but is a bit rough. From the appearance of the first node to the initial doubling
463 < of the layers ignoring their roughness took $\sim$~20 ns. Another ~40 ns was
464 < necessary for the layer to completely straighten. The other two layers in this
465 < simulation form over a period of 22 ns and 42 ns respectively. Comparing this to
466 < the upper bounds of the image scan, it is likely that aspects of this reconstruction
467 < occur very quickly.
475 > \subsubsection{Double layer formation dynamics}
476 > 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.
477  
478   %Evolution of surface
479   \begin{figure}[H]
# Line 503 | Line 512 | Comparing the results from simulation to those reporte
512   were able to observe the dynamic processes necessary for this reconstruction.
513  
514   \subsection{Mechanism for restructuring}
515 < Comparing the results from simulation to those reported previously by
515 > Since the Au surface showed no large scale restructuring throughout
516 > our simulation time our discussion will focus on the 50\% Pt-CO system
517 > which did undergo the doubling featured in Figure \ref{fig:reconstruct}.
518 > Comparing the results from this simulation to those reported previously by
519   Tao et al.\cite{Tao:2010} the similarities in the Pt-CO system are quite
520   strong. As shown in Figure \ref{fig:reconstruct}, the simulated Pt
521 < system under a CO atmosphere will restructure by doubling the terrace
522 < heights. The restructuring occurs slowly, one to two Pt atoms at a time.
521 > system exposed to a large dosage of CO will restructure by doubling the terrace
522 > 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.
523   Looking at individual configurations of the system, the adatoms either
524   break away from the step-edge and stay on the lower terrace or they lift
525 < up onto the higher terrace. Once ``free'' they will diffuse on the terrace
526 < until reaching another step-edge or coming back to their original edge.  
525 > up onto the higher terrace. Once ``free'', they will diffuse on the terrace
526 > until reaching another step-edge or rejoining their original edge.  
527   This combination of growth and decay of the step-edges is in a state of
528   dynamic equilibrium. However, once two previously separated edges
529   meet as shown in Figure 1.B, this meeting point tends to act as a focus
530   or growth point for the rest of the edge to meet up, akin to that of a zipper.
531   From the handful of cases where a double layer was formed during the
532   simulation, measuring from the initial appearance of a growth point, the
533 < double layer tends to be fully formed within $\sim$~35 ns.
533 > double layer tends to be fully formed within $\sim$35 ns.
534  
535   A number of possible mechanisms exist to explain the role of adsorbed
536   CO in restructuring the Pt surface. Quadrupolar repulsion between adjacent
537   CO molecules adsorbed on the surface is one likely possibility.  However,
538   the quadrupole-quadrupole interaction is short-ranged and is attractive for
539   some orientations.  If the CO molecules are ``locked'' in a specific orientation
540 < relative to each other, through atop adsorption perhaps, this explanation
540 > relative to each other, through atop adsorption for example, this explanation
541   gains some weight.  The energetic repulsion between two CO located a
542   distance of 2.77~\AA~apart (nearest-neighbor distance of Pt) with both in
543 < a  vertical orientation is 8.62 kcal/mole. Moving the CO apart to the second
543 > a  vertical orientation is 8.62 kcal/mol. Moving the CO apart to the second
544   nearest-neighbor distance of 4.8~\AA~or 5.54~\AA~drops the repulsion to
545 < nearly 0 kcal/mole. Allowing the CO's to leave a purely vertical orientation
546 < also quickly drops the repulsion, a minimum is reached at $\sim$24 degrees
547 < of 6.2 kcal/mole. As mentioned above, the energy barrier for surface diffusion
548 < of a Pt adatom is only 4 kcal/mole. So this repulsion between CO can help
549 < increase the surface diffusion. However, the residence time of CO was
545 > nearly 0 kcal/mol. Allowing the CO's to leave a purely vertical orientation
546 > 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.
547 > As mentioned above, the energy barrier for surface diffusion
548 > of a Pt adatom is only 4 kcal/mol. So this repulsion between CO can help
549 > increase the surface diffusion. However, the residence time of CO on Pt was
550   examined and while the majority of the CO is on or near the surface throughout
551   the run, it is extremely mobile. This mobility suggests that the CO are more
552   likely to shift their positions without necessarily dragging the Pt along with them.
# Line 620 | Line 632 | In this work we have shown the reconstruction of the P
632  
633  
634   \section{Conclusion}
635 < In this work we have shown the reconstruction of the Pt(557) crystalline surface upon adsorption of CO in < $\mu s$. Only the highest coverage Pt system showed this initial reconstruction similar to that seen previously. The strong interaction between Pt and CO and the limited interaction between Au and CO helps explain the differences between the two systems.
635 > In this work we have shown the reconstruction of the Pt(557) crystalline surface upon adsorption of CO in less than a $\mu s$. Only the highest coverage Pt system showed this initial reconstruction similar to that seen previously. The strong interaction between Pt and CO and the limited interaction between Au and CO helps explain the differences between the two systems.
636  
637   %Things I am not ready to remove yet
638  

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