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# Line 68 | Line 68 | We examine potential surface reconstructions of Pt and
68   \begin{doublespace}
69  
70   \begin{abstract}
71 < We examine potential surface reconstructions of Pt and Au(557)
72 < under various CO coverages using molecular dynamics in order
73 < to explore possible mechanisms for any observed reconstructions and their dynamics.
74 < The metal-CO interactions were parameterized as part of this
75 < work so that an efficient large-scale treatment of this system could be
76 < undertaken. The large difference in binding strengths of the metal-CO
77 < interactions was found to play a significant role with regards to
78 < step-edge stability and adatom diffusion. A small correlation
79 < between coverage and the magnitude of the diffusion constant was
80 < also determined. An in-depth examination of the energetics of CO
81 < adsorbed to the surface provides results that appear sufficient to explain the
82 < reconstructions observed on the Pt systems and the corresponding lack  
83 < on the Au systems.
71 > We examine surface reconstructions of Pt and Au(557) under
72 > various CO coverages using molecular dynamics in order to
73 > explore possible mechanisms for any observed reconstructions
74 > and their dynamics. The metal-CO interactions were parameterized
75 > as part of this work so that an efficient large-scale treatment of
76 > this system could be undertaken. The large difference in binding
77 > strengths of the metal-CO interactions was found to play a significant
78 > role with regards to step-edge stability and adatom diffusion. A
79 > small correlation between coverage and the diffusion constant
80 > was also determined. The energetics of CO adsorbed to the surface
81 > is sufficient to explain the reconstructions observed on the Pt
82 > systems and the lack  of reconstruction of the Au systems.
83 >
84   \end{abstract}
85  
86   \newpage
# 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.
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 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
134 > surface. Both groups suggested that the preference CO shows for
135 > low-coordinated Au atoms was the primary driving force for the reconstruction.
136  
137  
138  
# Line 130 | Line 140 | The challenge in modeling any solid/gas interface prob
140   %gold molecular dynamics
141  
142   \section{Simulation Methods}
143 < The challenge in modeling any solid/gas interface problem is the
143 > The challenge in modeling any solid/gas interface is the
144   development of a sufficiently general yet computationally tractable
145   model of the chemical interactions between the surface atoms and
146   adsorbates.  Since the interfaces involved are quite large (10$^3$ -
# Line 146 | Line 156 | Au-Au and Pt-Pt interactions\cite{EAM}, while modeling
156   Coulomb potential.  For this work, we have used classical molecular
157   dynamics with potential energy surfaces that are specifically tuned
158   for transition metals.  In particular, we used the EAM potential for
159 < Au-Au and Pt-Pt interactions\cite{EAM}, while modeling the CO using a rigid
159 > Au-Au and Pt-Pt interactions\cite{EAM}. The CO was modeled using a rigid
160   three-site model developed by Straub and Karplus for studying
161   photodissociation of CO from myoglobin.\cite{Straub} The Au-CO and
162   Pt-CO cross interactions were parameterized as part of this work.
# 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.  One of the strengths common to all of the
211 < methods is the relatively large library of metals for which these
212 < potentials have been
213 < parameterized.\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 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) 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 +
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.  
227 > the large linear quadrupole moment of carbon monoxide.\cite{Tao:2010}  
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 which places a massless M
232 < site at the center of mass position along the CO bond.  The geometry used along
233 < with the interaction parameters are reproduced in Table~\ref{tab:CO}. The effective
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
235   small (0.35 D) while the linear quadrupole (-2.40 D~\AA) is close
236   to the experimental (-2.63 D~\AA)\cite{QuadrupoleCO} and quantum
# Line 219 | Line 239 | mechanical predictions (-2.46 D~\AA)\cite{QuadrupoleCO
239   \begin{table}[H]
240    \caption{Positions, Lennard-Jones parameters ($\sigma$ and
241      $\epsilon$), and charges for the CO-CO
242 <    interactions borrowed from Ref.\bibpunct{}{}{,}{n}{}{,} \protect\cite{Straub}. Distances are in \AA, energies are
242 >    interactions in Ref.\bibpunct{}{}{,}{n}{}{,} \protect\cite{Straub}. Distances are in \AA, energies are
243      in kcal/mol, and charges are in atomic units.}
244   \centering
245   \begin{tabular}{| c | c | ccc |}
246   \hline
247   &  {\it z} & $\sigma$ & $\epsilon$ & q\\
248   \hline
249 < \textbf{C} & -0.6457 &  0.0262  & 3.83   &   -0.75 \\
250 < \textbf{O} &  0.4843 &   0.1591 &   3.12 &   -0.85 \\
249 > \textbf{C} & -0.6457 &  3.83 & 0.0262   &   -0.75 \\
250 > \textbf{O} &  0.4843 &  3.12 &  0.1591  &   -0.85 \\
251   \textbf{M} & 0.0 & -  &  -  &    1.6 \\
252   \hline
253   \end{tabular}
# Line 241 | Line 261 | clean metal surfaces. Parameters reported by Korzeniew
261   and theoretical work
262   \cite{Beurden:2002ys,Pons:1986,Deshlahra:2009,Feibelman:2001,Mason:2004}
263   there is a significant amount of data on adsorption energies for CO on
264 < clean metal surfaces. Parameters reported by Korzeniewski {\it et
265 <  al.}\cite{Pons:1986} were a starting point for our fits, which were
264 > clean metal surfaces. An earlier model by Korzeniewski {\it et
265 >  al.}\cite{Pons:1986} served as a starting point for our fits. The parameters were
266   modified to ensure that the Pt-CO interaction favored the atop binding
267 < position on Pt(111). These parameters are reproduced in Table~\ref{tab:co_parameters}
268 < This resulted in binding energies that are slightly higher
267 > position on Pt(111). These parameters are reproduced in Table~\ref{tab:co_parameters}.
268 > The modified parameters yield binding energies that are slightly higher
269   than the experimentally-reported values as shown in Table~\ref{tab:co_energies}. Following Korzeniewski
270   et al.,\cite{Pons:1986} the Pt-C interaction was fit to a deep
271   Lennard-Jones interaction to mimic strong, but short-ranged partial
272   binding between the Pt $d$ orbitals and the $\pi^*$ orbital on CO. The
273 < Pt-O interaction was parameterized to a Morse potential at a larger
274 < minimum distance, ($r_o$).  This was chosen so that the C would be preferred
275 < over O as the binder to the surface. In most cases, this parameterization contributes a weak
273 > Pt-O interaction was modeled with a Morse potential with a large
274 > equilibrium distance, ($r_o$).  These choices ensure that the C is preferred
275 > over O as the surface-binding atom. In most cases, the Pt-O parameterization contributes a weak
276   repulsion which favors the atop site.  The resulting potential-energy
277   surface suitably recovers the calculated Pt-C separation length
278   (1.6~\AA)\cite{Beurden:2002ys} and affinity for the atop binding
# Line 263 | Line 283 | The limited experimental data for CO adsorption on Au
283   %same cutoff for slab and slab + CO ? seems low, although feibelmen had values around there...
284   The Au-C and Au-O cross-interactions were also fit using Lennard-Jones and
285   Morse potentials, respectively, to reproduce Au-CO binding energies.
286 < The limited experimental data for CO adsorption on Au lead us to refine our fits against DFT.
286 > The limited experimental data for CO adsorption on Au required refining the fits against plane-wave DFT calculations.
287   Adsorption energies were obtained from gas-surface DFT calculations with a
288   periodic supercell plane-wave basis approach, as implemented in the
289 < {\sc Quantum ESPRESSO} package.\cite{QE-2009} Electron cores are
289 > {\sc Quantum ESPRESSO} package.\cite{QE-2009} Electron cores were
290   described with the projector augmented-wave (PAW)
291   method,\cite{PhysRevB.50.17953,PhysRevB.59.1758} with plane waves
292   included to an energy cutoff of 20 Ry. Electronic energies are
# Line 287 | Line 307 | are shown in Table~\ref{co_parameters} and the binding
307  
308   %Hint at future work
309   The parameters employed for the metal-CO cross-interactions in this work
310 < are shown in Table~\ref{co_parameters} and the binding energies on the
311 < (111) surfaces are displayed in Table~\ref{co_energies}.  Charge transfer
310 > are shown in Table~\ref{tab:co_parameters} and the binding energies on the
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 added in
314 < a future work.\cite{Deshlahra:2012,StreitzMintmire:1994}
313 > affect binding energies and binding site preferences, and will be addressed in
314 > future work.
315  
316   %Table  of Parameters
317   %Pt Parameter Set 9
318   %Au Parameter Set 35
319   \begin{table}[H]
320    \caption{Best fit parameters for metal-CO cross-interactions. Metal-C
321 <    interactions are modeled with Lennard-Jones potential, while the
321 >    interactions are modeled with Lennard-Jones potentials. While the
322      metal-O interactions were fit to Morse
323      potentials.  Distances are given in \AA~and energies in kcal/mol. }
324   \centering
# Line 316 | Line 336 | a future work.\cite{Deshlahra:2012,StreitzMintmire:199
336  
337   %Table of energies
338   \begin{table}[H]
339 <  \caption{Adsorption energies for CO on M(111) at the atop site using the potentials
339 >  \caption{Adsorption energies for a single CO at the atop site on M(111) at the atop site using the potentials
340      described in this work.  All values are in eV.}
341   \centering
342   \begin{tabular}{| c | cc |}
# Line 333 | 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 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 confirm the relative
365   stability of the surfaces without a CO overlayer.  
366  
367 < The different bulk (and surface) melting temperatures (1337~K for Au
368 < and 2045~K for Pt) suggest that any possible reconstruction may happen at
367 > The different bulk melting temperatures (1337~K for Au
368 > and 2045~K for Pt) 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. These temperatures were chosen because the
372 < surfaces were relatively stable at these temperatures when no CO was
373 < present, but experienced additional instability upon addition of CO in the time
352 < frames we were examining. Each surface was exposed to a range of CO
371 > respectively for 100 ps. The two surfaces were relatively stable at these
372 > temperatures when no CO was present, but experienced increased surface
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 amounts correspond to 0\%, 5\%, 25\%, 33\%, and 50\% surface
376 < coverage. Higher coverages were tried, but the CO-CO repulsion was preventing
377 < a higher amount of adsorption.  Because of the difference in binding energies, the Pt
378 < systems very rarely had CO that was not bound to the surface, while
375 > these concentrations correspond to 0\%, 5\%, 25\%, 33\%, and 50\% surface
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 200ns.  All simulations were run using the open
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
371 < %       diffusion
372 < %       time scale, formation, breakage
387 >
388 >
389 >
390 > % RESULTS
391 > %
392   \section{Results}
393   \subsection{Structural remodeling}
394 < Tao et al. showed experimentally that the Pt(557) surface
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 to which no CO was exposed
397 > did experience minor roughening of the step-edge, but the
398 > (557) lattice was well-maintained throughout the simulation
399 > time. The Au systems were limited to greater amounts of
400 > roughening, i.e. breakup of the step-edge, and some step
401 > wandering. The lower coverage Pt systems experienced
402 > similar restructuring but to a greater extent when
403 > compared to the Au systems. The 50\% coverage
404 > Pt system formed double layers at numerous spots upon its surface.
405 >
406 >
407 > \subsubsection{Step wandering}
408 > The 0\% coverage surfaces for both metals showed
409 > minimal movement at their respective run temperatures.
410 > As the coverage increased, the mobility of the surface
411 > also increased. Additionally, at the higher coverages
412 > on both metals, there was a large increase in the amount
413 > of observed step-wandering. Previous work by
414 > Williams\cite{Williams:1993} highlighted the entropic
415 > contribution to the repulsion felt between step-edges,
416 > and situations were that repulsion could be negated, or
417 > overcome, to allow for step coalescence or facet formation.
418 >
419 > \subsubsection{Double layers}
420 > Tao et al. have shown experimentally that the Pt(557) surface
421   undergoes two separate reconstructions upon CO
422   adsorption.\cite{Tao:2010} The first involves a doubling of
423   the step height and plateau length. Similar behavior has been
424 < seen to occur on numerous surfaces at varying conditions (Ni 977, Si 111, etc).
424 > seen to occur on numerous surfaces at varying conditions: Ni(977), Si(111).
425   \cite{Williams:1994,Williams:1991,Pearl} Of the two systems
426 < we examined, the Pt system showed a larger amount of
426 > we examined, the Pt system showed a greater propensity for
427   reconstruction when compared to the Au system. The amount
428 < of reconstruction appears to be correlated to the amount of CO
429 < adsorbed upon the surface.  We believe this is related to the
430 < effect that adsorbate coverage has on edge breakup and surface
431 < diffusion of adatoms. While both systems displayed step-edge
428 > of reconstruction is correlated to the amount of CO
429 > adsorbed upon the surface.  This appears to be related to the
430 > effect that adsorbate coverage has on edge breakup and on the surface
431 > diffusion of metal adatoms. While both systems displayed step-edge
432   wandering, only the Pt surface underwent the doubling seen by
433 < Tao et al., within the time scales we were modeling. Specifically,
434 < only the 50~\% coverage Pt system was observed to have a
435 < step-edge undergo a complete doubling in the time scales we
436 < were able to monitor. This event encouraged us to allow that
437 < specific system to run for much longer periods during which two
438 < more double layers were created. The other systems, not displaying
439 < any large scale changes of interest, were all stopped after running
395 < for 40 ns in the microcanonical ensemble. Despite no observation
396 < of double layer formation, the other Pt systems tended to show
397 < more cumulative lateral movement of the step-edges when
398 < compared to the Au systems. The 50\% Pt system is highlighted
433 > Tao et al. within the time scales studied here.  
434 > Only the 50\% coverage Pt system exhibited
435 > a complete doubling in the time scales we
436 > were able to monitor. Over longer periods (150~ns) two more double layers formed on this interface.
437 > Although double layer formation did not occur in the other Pt systems, they show
438 > more lateral movement of the step-edges
439 > compared to their Au counterparts. The 50\% Pt system is highlighted
440   in Figure \ref{fig:reconstruct} at various times along the simulation
441 < showing the evolution of the system.
441 > showing the evolution of a step-edge.
442  
443   The second reconstruction on the Pt(557) surface observed by
444   Tao involved the formation of triangular clusters that stretched
445   across the plateau between two step-edges. Neither system, within
446 < our simulated time scales, experiences this reconstruction. A constructed
406 < system in which the triangular motifs were constructed on the surface
407 < will be explored in future work and is shown in the supporting information.
446 > the 40~ns time scale, experienced this reconstruction.
447  
448   \subsection{Dynamics}
449 < While atomistic-like simulations of stepped surfaces have been
450 < performed before, they tend to be performed using Monte Carlo
451 < techniques\cite{Williams:1991,Williams:1994}. This allows them
452 < to efficiently sample the equilibrium thermodynamic landscape
453 < but at the expense of ignoring the dynamics of the system. Previous
454 < work by Pearl and Sibener\cite{Pearl}, using STM, has been able to
455 < visualize the coalescing of steps of Ni(977). The time scale of the image
456 < acquisition, $\sim$70 s/image provides an upper bounds for the time
457 < required for the doubling to actually occur. Statistical treatments of step-edges
458 < are adept at analyzing such systems. However, in a system where
459 < the number of steps is limited, examining the individual atoms that make
421 < up the steps can provide useful information as well.
449 > Previous atomistic simulations of stepped surfaces dealt largely
450 > with the energetics and structures at different conditions
451 > \cite{Williams:1991,Williams:1994}. Consequently, the most common
452 > technique utilized to date has been Monte Carlo sampling. Monte Carlo gives an efficient
453 > sampling of the equilibrium thermodynamic landscape at the expense
454 > of ignoring the dynamics of the system. Previous work by Pearl and
455 > Sibener\cite{Pearl}, using STM, has been able to show the coalescing
456 > of steps on Ni(977). The time scale of the image acquisition,
457 > $\sim$70 s/image provides an upper bound for the time required for
458 > the doubling to occur. In this section we give data on dynamic and
459 > transport properties, e.g. diffusion, layer formation time, etc.
460  
461  
462   \subsubsection{Transport of surface metal atoms}
463   %forcedSystems/stepSeparation
464   The movement or wandering of a step-edge is a cooperative effect
465   arising from the individual movements, primarily through surface
466 < diffusion, of the atoms making up the step. An ideal metal surface
467 < displaying a low index facet, (111) or (100) is unlikely to experience
466 > diffusion, of the atoms making up the steps. An ideal metal surface
467 > displaying a low index facet, (111) or (100), is unlikely to experience
468   much surface diffusion because of the large energetic barrier that must
469   be overcome to lift an atom out of the surface. The presence of step-edges
470   on higher-index surfaces provide a source for mobile metal atoms.
471   Breaking away from the step-edge on a clean surface still imposes an
472 < energetic penalty around $\sim$~40 kcal/mole, but is much less than lifting
473 < the same metal atom out from the surface,  \textgreater~60 kcal/mole, and
474 < the penalty lowers even further when CO is present in sufficient quantities
475 < on the surface. For certain tested distributions of CO, the penalty was lowered
476 < to $\sim$~20 kcal/mole. Once an adatom exists on the surface, its barrier for
477 < diffusion is negligible ( \textless~4 kcal/mole) and is well able to explore the
478 < terrace before potentially rejoining its original step-edge or becoming a part
479 < of a different edge. Atoms traversing separate terraces is a more difficult
480 < process, but can be overcome through a joining and lifting stage which is
481 < examined in the discussion section. By tracking the mobility of individual
472 > energetic penalty around $\sim$~40 kcal/mol, but this is significantly easier than lifting
473 > the same metal atom vertically out of the surface,  \textgreater~60 kcal/mol.
474 > The penalty lowers significantly when CO is present in sufficient quantities
475 > on the surface. For certain distributions of CO, the penalty can fall as low as
476 > $\sim$~20 kcal/mol. Once an adatom exists on the surface, the barrier for
477 > diffusion is negligible ( \textless~4 kcal/mol) and these adatoms are
478 > able to explore the terrace before rejoining either the original step-edge or
479 > becoming a part of a different edge. It is a more difficult process for an atom
480 > to traverse to a separate terrace although the presence of CO can lower the
481 > energy barrier required to lift or lower the adatom. By tracking the mobility of individual
482   metal atoms on the Pt and Au surfaces we were able to determine the relative
483 < diffusion rates and how varying coverages of CO affected the rates. Close
483 > diffusion constants, as well as how varying coverages of CO affect the diffusion. Close
484   observation of the mobile metal atoms showed that they were typically in
485 < equilibrium with the step-edges, constantly breaking apart and rejoining.
486 < At times their motion was concerted and two or more adatoms would be
487 < observed moving together across the surfaces. The primary challenge in
450 < quantifying the overall surface mobility was in defining ``mobile" vs. ``static" atoms.
485 > equilibrium with the step-edges, dynamically breaking apart and rejoining the edges.
486 > At times, their motion was concerted and two or more adatoms would be
487 > observed moving together across the surfaces.
488  
489 < A particle was considered mobile once it had traveled more than 2~\AA~
490 < between saved configurations of the system (10-100 ps). An atom that was
491 < truly mobile would typically travel much greater than this, but the 2~\AA~ cutoff
492 < was to prevent the in-place vibrational movement of non-surface atoms from
493 < being included in the analysis. Diffusion on  a surface is strongly affected by
494 < local structures and in this work the presence of single and double layer
489 > A particle was considered ``mobile'' once it had traveled more than 2~\AA~
490 > between saved configurations of the system (typically 10-100 ps). An atom that was
491 > truly mobile would typically travel much greater distances than this, but the 2~\AA~cutoff
492 > was used to prevent swamping the diffusion data with the in-place vibrational
493 > movement of buried atoms. Diffusion on  a surface is strongly affected by
494 > local structures and in this work, the presence of single and double layer
495   step-edges causes the diffusion parallel to the step-edges to be different
496 < from the diffusion perpendicular to these edges. This led us to compute
497 < those diffusions separately as seen in Figure \ref{fig:diff}.
496 > from the diffusion perpendicular to these edges. Parallel and perpendicular
497 > diffusion constants are shown in Figure \ref{fig:diff}.
498  
499 < \subsubsection{Double layer formation}
500 < The increased amounts of diffusion on Pt at the higher CO coverages appears
501 < to play a primary role in the formation of double layers, although this conclusion
502 < does not explain the 33\% coverage Pt system. On the 50\% system, three
503 < separate layers were formed over the extended run time of this system. As
504 < mentioned earlier, previous experimental work has given some insight into the
505 < upper bounds of the time required for enough atoms to move around to allow two
506 < steps to coalesce\cite{Williams:1991,Pearl}. As seen in Figure \ref{fig:reconstruct},
507 < the first appearance of a double layer, a nodal site, appears at 19 ns into the
508 < simulation. Within 12 ns, nearly half of the step has formed the double layer and
509 < by 86 ns, a smooth complete layer has formed. The double layer is ``complete" by
510 < 37 ns but is a bit rough. From the appearance of the first node to the initial doubling
511 < of the layers ignoring their roughness took $\sim$~20 ns. Another ~40 ns was
512 < necessary for the layer to completely straighten. The other two layers in this
513 < simulation form over a period of 22 ns and 42 ns respectively. Comparing this to
514 < the upper bounds of the image scan, it is likely that aspects of this reconstruction
515 < occur very quickly.
499 > \subsubsection{Dynamics of double layer formation}
500 > The increased diffusion on Pt at the higher
501 > CO coverages plays a primary role in double layer formation. However, this is not
502 > a complete explanation -- the 33\%~Pt system
503 > has higher diffusion constants but did not show
504 > any signs of edge doubling. On the
505 > 50\%~Pt system, three separate layers were formed over
506 > 150~ns of simulation time. Previous experimental
507 > work gives insight into the upper bounds of the
508 > time required for step coalescence.\cite{Williams:1991,Pearl}
509 > In this system, as seen in Figure \ref{fig:reconstruct}, the first
510 > appearance of a double layer, appears at 19~ns
511 > into the simulation. Within 12~ns of this nucleation event, nearly half of the step has
512 > formed the double layer and by 86 ns, the complete layer
513 > has been flattened out. The double layer could be considered
514 > ``complete" by 37~ns but remains a bit rough. From the
515 > appearance of the first nucleation event to the first observed double layer, the process took $\sim$20~ns. Another
516 > $\sim$40~ns was necessary for the layer to completely straighten.
517 > The other two layers in this simulation formed over periods of
518 > 22~ns and 42~ns respectively. Comparing this to the upper
519 > bounds of the image scan, it is likely that most aspects of this
520 > reconstruction occur very rapidly. A possible explanation
521 > for this rapid reconstruction is the elevated temperatures
522 > under which our systems were simulated. It is probable that the process would
523 > take longer at lower temperatures.
524  
525   %Evolution of surface
526   \begin{figure}[H]
# Line 509 | Line 554 | In this paper we have shown that we were able to accur
554  
555   %Discussion
556   \section{Discussion}
557 < In this paper we have shown that we were able to accurately model the initial reconstruction of the
557 > We have shown that the classical potential models are able to model the initial reconstruction of the
558   Pt(557) surface upon CO adsorption as shown by Tao et al. \cite{Tao:2010}. More importantly, we
559 < were able to observe the dynamic processes necessary for this reconstruction.
559 > were able to observe features of the dynamic processes necessary for this reconstruction.
560  
561   \subsection{Mechanism for restructuring}
562 < Comparing the results from simulation to those reported previously by
563 < Tao et al.\cite{Tao:2010} the similarities in the Pt-CO system are quite
564 < strong. As shown in Figure \ref{fig:reconstruct}, the simulated Pt
565 < system under a CO atmosphere will restructure by doubling the terrace
566 < heights. The restructuring occurs slowly, one to two Pt atoms at a time.
567 < Looking at individual configurations of the system, the adatoms either
562 > Since the Au surface showed no large scale restructuring throughout
563 > our simulation time our discussion will focus on the 50\% Pt-CO system
564 > which did undergo the doubling featured in Figure \ref{fig:reconstruct}.
565 > Similarities of our results to those reported previously by
566 > Tao et al.\cite{Tao:2010} are quite
567 > strong. The simulated Pt
568 > system exposed to a large dosage of CO readily restructures by doubling the terrace
569 > 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.
570 > The adatoms either
571   break away from the step-edge and stay on the lower terrace or they lift
572 < up onto the higher terrace. Once ``free'' they will diffuse on the terrace
573 < until reaching another step-edge or coming back to their original edge.  
572 > up onto a higher terrace. Once ``free'', they diffuse on the terrace
573 > until reaching another step-edge or rejoining their original edge.  
574   This combination of growth and decay of the step-edges is in a state of
575   dynamic equilibrium. However, once two previously separated edges
576 < meet as shown in Figure 1.B, this meeting point tends to act as a focus
577 < or growth point for the rest of the edge to meet up, akin to that of a zipper.
530 < From the handful of cases where a double layer was formed during the
531 < simulation, measuring from the initial appearance of a growth point, the
532 < double layer tends to be fully formed within $\sim$~35 ns.
576 > meet as shown in Figure 1.B, this nucleates the rest of the edge to meet up, forming a double layer.
577 > 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.
578  
579   A number of possible mechanisms exist to explain the role of adsorbed
580   CO in restructuring the Pt surface. Quadrupolar repulsion between adjacent
581 < CO molecules adsorbed on the surface is one likely possibility.  However,
581 > CO molecules adsorbed on the surface is one possibility.  However,
582   the quadrupole-quadrupole interaction is short-ranged and is attractive for
583   some orientations.  If the CO molecules are ``locked'' in a specific orientation
584 < relative to each other, through atop adsorption perhaps, this explanation
585 < gains some weight.  The energetic repulsion between two CO located a
586 < distance of 2.77~\AA~apart (nearest-neighbor distance of Pt) with both in
587 < a  vertical orientation is 8.62 kcal/mole. Moving the CO apart to the second
584 > relative to each other, through atop adsorption for example, this explanation
585 > gains some credence.  The energetic repulsion between two CO located a
586 > distance of 2.77~\AA~apart (nearest-neighbor distance of Pt) and both in
587 > a  vertical orientation, is 8.62 kcal/mol. Moving the CO apart to the second
588   nearest-neighbor distance of 4.8~\AA~or 5.54~\AA~drops the repulsion to
589 < nearly 0 kcal/mole. Allowing the CO's to leave a purely vertical orientation
590 < also quickly drops the repulsion, a minimum is reached at $\sim$24 degrees
591 < of 6.2 kcal/mole. As mentioned above, the energy barrier for surface diffusion
592 < of a Pt adatom is only 4 kcal/mole. So this repulsion between CO can help
593 < increase the surface diffusion. However, the residence time of CO was
589 > nearly 0 kcal/mol. Allowing the CO's to leave a purely vertical orientation
590 > 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.
591 > As mentioned above, the energy barrier for surface diffusion
592 > of a Pt adatom is only 4 kcal/mol. So this repulsion between neighboring CO molecules can
593 > increase the surface diffusion. However, the residence time of CO on Pt was
594   examined and while the majority of the CO is on or near the surface throughout
595 < the run, it is extremely mobile. This mobility suggests that the CO are more
596 < likely to shift their positions without necessarily dragging the Pt along with them.
595 > the run, most molecules are mobile. This mobility suggests that the CO are more
596 > likely to shift their positions without necessarily the Pt along with them.
597  
598   Another possible and more likely mechanism for the restructuring is in the
599   destabilization of strong Pt-Pt interactions by CO adsorbed on surface
# Line 582 | Line 627 | As shown in the results section, the diffusion paralle
627  
628  
629   \subsection{Diffusion}
630 < As shown in the results section, the diffusion parallel to the step-edge tends to be
631 < much larger than that perpendicular to the step-edge, likely because of the dynamic
630 > The diffusion parallel to the step-edge tends to be
631 > much larger than that perpendicular to the step-edge. The dynamic
632   equilibrium that is established between the step-edge and adatom interface. The coverage
633   of CO also appears to play a slight role in relative rates of diffusion, as shown in Figure \ref{fig:diff}.
634   The
# Line 611 | Line 656 | more likely a growth point is to be formed.
656  
657  
658   %Peaks!
659 < \begin{figure}[H]
660 < \includegraphics[width=\linewidth]{doublePeaks_noCO.png}
661 < \caption{At the initial formation of this double layer  ( $\sim$ 37 ns) there is a degree
662 < of roughness inherent to the edge. The next $\sim$ 40 ns show the edge with
663 < aspects of waviness and by 80 ns the double layer is completely formed and smooth. }
664 < \label{fig:peaks}
665 < \end{figure}
659 > %\begin{figure}[H]
660 > %\includegraphics[width=\linewidth]{doublePeaks_noCO.png}
661 > %\caption{At the initial formation of this double layer  ( $\sim$ 37 ns) there is a degree
662 > %of roughness inherent to the edge. The next $\sim$ 40 ns show the edge with
663 > %aspects of waviness and by 80 ns the double layer is completely formed and smooth. }
664 > %\label{fig:peaks}
665 > %\end{figure}
666  
667  
668   %Don't think I need this
# Line 631 | Line 676 | In this work we have shown the reconstruction of the P
676  
677  
678   \section{Conclusion}
679 < 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.
679 > 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.
680  
681   %Things I am not ready to remove yet
682  

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