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1 < \documentclass[11pt]{article}
1 > \documentclass[journal = jpccck, manuscript = article]{achemso}
2 > \setkeys{acs}{usetitle = true}
3 > \usepackage{achemso}
4 > \usepackage{caption}
5 > \usepackage{float}
6 > \usepackage{geometry}
7 > \usepackage{natbib}
8 > \usepackage{setspace}
9 > \usepackage{xkeyval}
10 > %%%%%%%%%%%%%%%%%%%%%%%
11   \usepackage{amsmath}
12   \usepackage{amssymb}
13   \usepackage{times}
# Line 6 | Line 15
15   \usepackage{setspace}
16   \usepackage{endfloat}
17   \usepackage{caption}
18 < %\usepackage{tabularx}
18 > \usepackage{tabularx}
19 > \usepackage{longtable}
20   \usepackage{graphicx}
21   \usepackage{multirow}
22 < %\usepackage{booktabs}
23 < %\usepackage{bibentry}
24 < %\usepackage{mathrsfs}
25 < \usepackage[square, comma, sort&compress]{natbib}
22 > \usepackage{multicol}
23 >
24 > \usepackage[version=3]{mhchem}  % this is a great package for formatting chemical reactions
25 > % \usepackage[square, comma, sort&compress]{natbib}
26   \usepackage{url}
27   \pagestyle{plain} \pagenumbering{arabic} \oddsidemargin 0.0cm
28   \evensidemargin 0.0cm \topmargin -21pt \headsep 10pt \textheight
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32   %\AtBeginDelayedFloats{\renewcomand{\baselinestretch}{1.66}}
33   \setlength{\abovecaptionskip}{20 pt}
34   \setlength{\belowcaptionskip}{30 pt}
35 + % \bibpunct{}{}{,}{s}{}{;}
36  
37 < \bibpunct{}{}{,}{s}{}{;}
38 < \bibliographystyle{achemso}
37 > %\citestyle{nature}
38 > % \bibliographystyle{achemso}
39  
40 < \begin{document}
40 > \title{Molecular Dynamics simulations of the surface reconstructions
41 >  of Pt(557) and Au(557) under exposure to CO}
42  
43 + \author{Joseph R. Michalka}
44 + \author{Patrick W. McIntyre}
45 + \author{J. Daniel Gezelter}
46 + \email{gezelter@nd.edu}
47 + \affiliation[University of Notre Dame]{251 Nieuwland Science Hall\\
48 +  Department of Chemistry and Biochemistry\\ University of Notre
49 +  Dame\\ Notre Dame, Indiana 46556}
50  
51 + \keywords{}
52 +
53 + \begin{document}
54 +
55 +
56   %%
57   %Introduction
58   %       Experimental observations
# Line 47 | Line 71
71   %Summary
72   %%
73  
50 %Title
51 \title{Molecular Dynamics simulations of the surface reconstructions
52  of Pt(557) and Au(557) under exposure to CO}
74  
75 < \author{Joseph R. Michalka, Patrick W. McIntyre and J. Daniel
76 < Gezelter\footnote{Corresponding author. \ Electronic mail: gezelter@nd.edu} \\
77 < Department of Chemistry and Biochemistry,\\
78 < University of Notre Dame\\
79 < Notre Dame, Indiana 46556}
75 > \begin{abstract}
76 > We examine surface reconstructions of Pt and Au(557) under
77 > various CO coverages using molecular dynamics in order to
78 > explore possible mechanisms for any observed reconstructions
79 > and their dynamics. The metal-CO interactions were parameterized
80 > as part of this work so that an efficient large-scale treatment of
81 > this system could be undertaken. The large difference in binding
82 > strengths of the metal-CO interactions was found to play a significant
83 > role with regards to step-edge stability and adatom diffusion. A
84 > small correlation between coverage and the diffusion constant
85 > was also determined. The energetics of CO adsorbed to the surface
86 > is sufficient to explain the reconstructions observed on the Pt
87 > systems and the lack  of reconstruction of the Au systems.
88  
60 %Date
61 \date{Mar 5, 2013}
89  
90 < %authors
91 <
92 < % make the title
93 < \maketitle
94 <
95 < \begin{doublespace}
96 <
97 < \begin{abstract}
98 < We examine potential surface reconstructions of Pt and Au(557)
99 < 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.
90 > The mechanism and dynamics of surface reconstructions of Pt(557)
91 > and Au(557) exposed to various coverages of carbon monoxide (CO)
92 > were investigated using molecular dynamics simulations. Metal-CO
93 > interactions were parameterized from experimental data and plane-wave
94 > Density Functional Theory (DFT) calculations.  The large difference in
95 > binding strengths of the Pt-CO and Au-CO interactions was found to play
96 > a significant role in step-edge stability and adatom diffusion constants.
97 > The energetics of CO adsorbed to the surface is sufficient to explain the
98 > step-doubling reconstruction observed on Pt(557) and the lack of such
99 > a reconstruction on the Au(557) surface.
100   \end{abstract}
101  
102   \newpage
# Line 112 | Line 128 | This work is an attempt to understand the mechanism an
128   reversible restructuring under exposure to moderate pressures of
129   carbon monoxide.\cite{Tao:2010}
130  
131 < This work is an attempt to understand the mechanism and timescale for
132 < surface restructuring by using molecular simulations.  Since the dynamics
131 > This work is an investigation into the mechanism and timescale for the Pt(557) \& Au(557)
132 > surface restructuring using molecular simulations.  Since the dynamics
133   of the process are of particular interest, we employ classical force
134   fields that represent a compromise between chemical accuracy and the
135   computational efficiency necessary to simulate the process of interest.
136   Since restructuring typically occurs as a result of specific interactions of the
137   catalyst with adsorbates, in this work, two metal systems exposed
138   to carbon monoxide were examined. The Pt(557) surface has already been shown
139 < to reconstruct under certain conditions. The Au(557) surface, because
140 < of a weaker interaction with CO, is less likely to undergo this kind
141 < of reconstruction.  
139 > to undergo a large scale reconstruction under certain conditions.\cite{Tao:2010}
140 > The Au(557) surface, because of a weaker interaction with CO, is less
141 > likely to undergo this kind of reconstruction. However, Peters {\it et al}.\cite{Peters:2000}
142 > and Piccolo {\it et al}.\cite{Piccolo:2004} have both observed CO-induced
143 > reconstruction of a Au(111) surface. Peters {\it et al}. saw a relaxation to the
144 > 22 x $\sqrt{3}$ cell. They argued that only a few Au atoms
145 > become adatoms, limiting the stress of this reconstruction, while
146 > allowing the rest to relax and approach the ideal (111)
147 > configuration. They did not see the usual herringbone pattern on Au(111) being greatly
148 > affected by this relaxation. Piccolo {\it et al}. on the other hand, did see a
149 > disruption of the herringbone pattern as CO was adsorbed to the
150 > surface. Both groups suggested that the preference CO shows for
151 > low-coordinated Au atoms was the primary driving force for the reconstruction.
152  
153  
154  
# Line 130 | Line 156 | The challenge in modeling any solid/gas interface prob
156   %gold molecular dynamics
157  
158   \section{Simulation Methods}
159 < The challenge in modeling any solid/gas interface problem is the
159 > The challenge in modeling any solid/gas interface is the
160   development of a sufficiently general yet computationally tractable
161   model of the chemical interactions between the surface atoms and
162   adsorbates.  Since the interfaces involved are quite large (10$^3$ -
163 < 10$^6$ atoms) and respond slowly to perturbations, {\it ab initio}
163 > 10$^4$ atoms) and respond slowly to perturbations, {\it ab initio}
164   molecular dynamics
165   (AIMD),\cite{KRESSE:1993ve,KRESSE:1993qf,KRESSE:1994ul} Car-Parrinello
166   methods,\cite{CAR:1985bh,Izvekov:2000fv,Guidelli:2000fy} and quantum
# Line 146 | Line 172 | Au-Au and Pt-Pt interactions\cite{EAM}, while modeling
172   Coulomb potential.  For this work, we have used classical molecular
173   dynamics with potential energy surfaces that are specifically tuned
174   for transition metals.  In particular, we used the EAM potential for
175 < Au-Au and Pt-Pt interactions\cite{EAM}, while modeling the CO using a rigid
175 > Au-Au and Pt-Pt interactions.\cite{Foiles86} The CO was modeled using a rigid
176   three-site model developed by Straub and Karplus for studying
177   photodissociation of CO from myoglobin.\cite{Straub} The Au-CO and
178   Pt-CO cross interactions were parameterized as part of this work.
# Line 159 | Line 185 | parameter sets. The glue model of Ercolessi et al. is
185   methods,\cite{Daw84,Foiles86,Johnson89,Daw89,Plimpton93,Voter95a,Lu97,Alemany98}
186   but other models like the Finnis-Sinclair\cite{Finnis84,Chen90} and
187   the quantum-corrected Sutton-Chen method\cite{QSC,Qi99} have simpler
188 < parameter sets. The glue model of Ercolessi et al. is among the
189 < fastest of these density functional approaches.\cite{Ercolessi88} In
190 < all of these models, atoms are conceptualized as a positively charged
188 > parameter sets. The glue model of Ercolessi {\it et al}.\cite{Ercolessi88} is among the
189 > fastest of these density functional approaches. In
190 > all of these models, atoms are treated as a positively charged
191   core with a radially-decaying valence electron distribution. To
192   calculate the energy for embedding the core at a particular location,
193   the electron density due to the valence electrons at all of the other
# Line 196 | Line 222 | dynamics.\cite{Shibata:2002hh} All of these potentials
222   melting,\cite{Belonoshko00,sankaranarayanan:155441,Sankaranarayanan:2005lr}
223   fracture,\cite{Shastry:1996qg,Shastry:1998dx} crack
224   propagation,\cite{BECQUART:1993rg} and alloying
225 < dynamics.\cite{Shibata:2002hh} All of these potentials have their
226 < strengths and weaknesses.  One of the strengths common to all of the
227 < methods is the relatively large library of metals for which these
228 < potentials have been
229 < parameterized.\cite{Foiles86,PhysRevB.37.3924,Rifkin1992,mishin99:_inter,mishin01:cu,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}  
225 > dynamics.\cite{Shibata:2002hh} One of EAM's strengths
226 > is its sensitivity to small changes in structure. This arises
227 > because interactions
228 > up to the third nearest neighbor were taken into account in the parameterization.\cite{Voter95a}
229 > Comparing that to the glue model of Ercolessi {\it et al}.\cite{Ercolessi88}
230 > which is only parameterized up to the nearest-neighbor
231 > interactions, EAM is a suitable choice for systems where
232 > the bulk properties are of secondary importance to low-index
233 > surface structures. Additionally, the similarity of EAM's functional
234 > treatment of the embedding energy to standard density functional
235 > theory (DFT) makes fitting DFT-derived cross potentials with adsorbates somewhat easier.
236 > \cite{Foiles86,PhysRevB.37.3924,Rifkin1992,mishin99:_inter,mishin01:cu,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}  
237  
238 +
239 +
240 +
241   \subsection{Carbon Monoxide model}
242   Previous explanations for the surface rearrangements center on
243 < the large linear quadrupole moment of carbon monoxide.  
243 > the large linear quadrupole moment of carbon monoxide.\cite{Tao:2010}  
244   We used a model first proposed by Karplus and Straub to study
245   the photodissociation of CO from myoglobin because it reproduces
246   the quadrupole moment well.\cite{Straub} The Straub and
247 < Karplus model, treats CO as a rigid three site molecule which places a massless M
248 < site at the center of mass position along the CO bond.  The geometry used along
249 < with the interaction parameters are reproduced in Table~\ref{tab:CO}. The effective
247 > Karplus model treats CO as a rigid three site molecule with a massless M
248 > site at the molecular center of mass. The geometry and interaction
249 > parameters are reproduced in Table~\ref{tab:CO}. The effective
250   dipole moment, calculated from the assigned charges, is still
251   small (0.35 D) while the linear quadrupole (-2.40 D~\AA) is close
252   to the experimental (-2.63 D~\AA)\cite{QuadrupoleCO} and quantum
# Line 219 | Line 255 | mechanical predictions (-2.46 D~\AA)\cite{QuadrupoleCO
255   \begin{table}[H]
256    \caption{Positions, Lennard-Jones parameters ($\sigma$ and
257      $\epsilon$), and charges for the CO-CO
258 <    interactions borrowed from Ref.\bibpunct{}{}{,}{n}{}{,} \protect\cite{Straub}. Distances are in \AA, energies are
258 >    interactions in Ref.\bibpunct{}{}{,}{n}{}{,} \protect\cite{Straub}. Distances are in \AA, energies are
259      in kcal/mol, and charges are in atomic units.}
260   \centering
261   \begin{tabular}{| c | c | ccc |}
262   \hline
263   &  {\it z} & $\sigma$ & $\epsilon$ & q\\
264   \hline
265 < \textbf{C} & -0.6457 &  0.0262  & 3.83   &   -0.75 \\
266 < \textbf{O} &  0.4843 &   0.1591 &   3.12 &   -0.85 \\
265 > \textbf{C} & -0.6457 &  3.83 & 0.0262   &   -0.75 \\
266 > \textbf{O} &  0.4843 &  3.12 &  0.1591  &   -0.85 \\
267   \textbf{M} & 0.0 & -  &  -  &    1.6 \\
268   \hline
269   \end{tabular}
# Line 241 | Line 277 | clean metal surfaces. Parameters reported by Korzeniew
277   and theoretical work
278   \cite{Beurden:2002ys,Pons:1986,Deshlahra:2009,Feibelman:2001,Mason:2004}
279   there is a significant amount of data on adsorption energies for CO on
280 < clean metal surfaces. Parameters reported by Korzeniewski {\it et
281 <  al.}\cite{Pons:1986} were a starting point for our fits, which were
280 > clean metal surfaces. An earlier model by Korzeniewski {\it et
281 >  al.}\cite{Pons:1986} served as a starting point for our fits. The parameters were
282   modified to ensure that the Pt-CO interaction favored the atop binding
283 < position on Pt(111). These parameters are reproduced in Table~\ref{tab:co_parameters}
284 < This resulted in binding energies that are slightly higher
283 > position on Pt(111). These parameters are reproduced in Table~\ref{tab:co_parameters}.
284 > The modified parameters yield binding energies that are slightly higher
285   than the experimentally-reported values as shown in Table~\ref{tab:co_energies}. Following Korzeniewski
286 < et al.,\cite{Pons:1986} the Pt-C interaction was fit to a deep
287 < Lennard-Jones interaction to mimic strong, but short-ranged partial
286 > {\it et al}.,\cite{Pons:1986} the Pt-C interaction was fit to a deep
287 > Lennard-Jones interaction to mimic strong, but short-ranged, partial
288   binding between the Pt $d$ orbitals and the $\pi^*$ orbital on CO. The
289 < Pt-O interaction was parameterized to a Morse potential at a larger
290 < minimum distance, ($r_o$).  This was chosen so that the C would be preferred
291 < over O as the binder to the surface. In most cases, this parameterization contributes a weak
289 > Pt-O interaction was modeled with a Morse potential with a large
290 > equilibrium distance, ($r_o$).  These choices ensure that the C is preferred
291 > over O as the surface-binding atom. In most geometries, the Pt-O parameterization contributes a weak
292   repulsion which favors the atop site.  The resulting potential-energy
293   surface suitably recovers the calculated Pt-C separation length
294   (1.6~\AA)\cite{Beurden:2002ys} and affinity for the atop binding
# Line 263 | Line 299 | The limited experimental data for CO adsorption on Au
299   %same cutoff for slab and slab + CO ? seems low, although feibelmen had values around there...
300   The Au-C and Au-O cross-interactions were also fit using Lennard-Jones and
301   Morse potentials, respectively, to reproduce Au-CO binding energies.
302 < The limited experimental data for CO adsorption on Au lead us to refine our fits against DFT.
302 > The limited experimental data for CO adsorption on Au required refining the fits against plane-wave DFT calculations.
303   Adsorption energies were obtained from gas-surface DFT calculations with a
304   periodic supercell plane-wave basis approach, as implemented in the
305 < {\sc Quantum ESPRESSO} package.\cite{QE-2009} Electron cores are
305 > {\sc Quantum ESPRESSO} package.\cite{QE-2009} Electron cores were
306   described with the projector augmented-wave (PAW)
307   method,\cite{PhysRevB.50.17953,PhysRevB.59.1758} with plane waves
308   included to an energy cutoff of 20 Ry. Electronic energies are
# Line 280 | Line 316 | zone.\cite{Monkhorst:1976,PhysRevB.13.5188} The relaxe
316   performed until the energy difference between subsequent steps
317   was less than $10^{-8}$ Ry.   Nonspin-polarized supercell calculations
318   were performed with a 4~x~4~x~4 Monkhorst-Pack {\bf k}-point sampling of the first Brillouin
319 < zone.\cite{Monkhorst:1976,PhysRevB.13.5188} The relaxed gold slab was
319 > zone.\cite{Monkhorst:1976} The relaxed gold slab was
320   then used in numerous single point calculations with CO at various
321   heights (and angles relative to the surface) to allow fitting of the
322   empirical force field.
323  
324   %Hint at future work
325   The parameters employed for the metal-CO cross-interactions in this work
326 < are shown in Table~\ref{co_parameters} and the binding energies on the
327 < (111) surfaces are displayed in Table~\ref{co_energies}.  Charge transfer
328 < and polarization are neglected in this model, although these effects are likely to
329 < affect binding energies and binding site preferences, and will be added in
294 < a future work.\cite{Deshlahra:2012,StreitzMintmire:1994}
326 > are shown in Table~\ref{tab:co_parameters} and the binding energies on the
327 > (111) surfaces are displayed in Table~\ref{tab:co_energies}.  Charge transfer
328 > and polarization are neglected in this model, although these effects could have
329 > an effect on  binding energies and binding site preferences.
330  
331   %Table  of Parameters
332   %Pt Parameter Set 9
333   %Au Parameter Set 35
334   \begin{table}[H]
335    \caption{Best fit parameters for metal-CO cross-interactions. Metal-C
336 <    interactions are modeled with Lennard-Jones potential, while the
336 >    interactions are modeled with Lennard-Jones potentials. While the
337      metal-O interactions were fit to Morse
338      potentials.  Distances are given in \AA~and energies in kcal/mol. }
339   \centering
# Line 316 | Line 351 | a future work.\cite{Deshlahra:2012,StreitzMintmire:199
351  
352   %Table of energies
353   \begin{table}[H]
354 <  \caption{Adsorption energies for CO on M(111) at the atop site using the potentials
354 >  \caption{Adsorption energies for a single CO at the atop site on M(111) at the atop site using the potentials
355      described in this work.  All values are in eV.}
356   \centering
357   \begin{tabular}{| c | cc |}
# Line 326 | Line 361 | a future work.\cite{Deshlahra:2012,StreitzMintmire:199
361    \multirow{2}{*}{\textbf{Pt-CO}} & \multirow{2}{*}{-1.9} & -1.4 \bibpunct{}{}{,}{n}{}{,}
362    (Ref. \protect\cite{Kelemen:1979}) \\
363   & &  -1.9 \bibpunct{}{}{,}{n}{}{,} (Ref. \protect\cite{Yeo}) \\ \hline
364 <  \textbf{Au-CO} & -0.39 & -0.40 \bibpunct{}{}{,}{n}{}{,}  (Ref. \protect\cite{TPD_Gold}) \\
364 >  \textbf{Au-CO} & -0.39 & -0.40 \bibpunct{}{}{,}{n}{}{,}  (Ref. \protect\cite{TPDGold}) \\
365    \hline
366   \end{tabular}
367   \label{tab:co_energies}
368   \end{table}
369  
370   \subsection{Pt(557) and Au(557) metal interfaces}
371 <
372 < Our model systems are composed of 3888 Pt atoms and 3384 Au atoms in a
373 < FCC crystal that have been cut along the (557) plane so that they are
374 < periodic in the {\it x} and {\it y} directions, and have been oriented
375 < to expose two aligned (557) cuts along the extended {\it
376 <  z}-axis.  Simulations of the bare metal interfaces at temperatures
377 < ranging from 300~K to 1200~K were performed to observe the relative
371 > Our Pt system is an orthorhombic periodic box of dimensions
372 > 54.482~x~50.046~x~120.88~\AA~while our Au system has
373 > dimensions of 57.4~x~51.9285~x~100~\AA. The metal slabs
374 > are 9 and 8 atoms deep respectively, corresponding to a slab
375 > thickness of $\sim$21~\AA~ for Pt and $\sim$19~\AA~for Au.
376 > The systems are arranged in a FCC crystal that have been cut
377 > along the (557) plane so that they are periodic in the {\it x} and
378 > {\it y} directions, and have been oriented to expose two aligned
379 > (557) cuts along the extended {\it z}-axis.  Simulations of the
380 > bare metal interfaces at temperatures ranging from 300~K to
381 > 1200~K were performed to confirm the relative
382   stability of the surfaces without a CO overlayer.  
383  
384 < The different bulk (and surface) melting temperatures (1337~K for Au
385 < and 2045~K for Pt) suggest that any possible reconstruction may happen at
384 > The different bulk melting temperatures predicted by EAM (1345~$\pm$~10~K for Au\cite{Au:melting}
385 > and $\sim$~2045~K for Pt\cite{Pt:melting}) suggest that any possible reconstruction should happen at
386   different temperatures for the two metals.  The bare Au and Pt surfaces were
387   initially run in the canonical (NVT) ensemble at 800~K and 1000~K
388 < respectively for 100 ps. These temperatures were chosen because the
389 < surfaces were relatively stable at these temperatures when no CO was
390 < 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
388 > respectively for 100 ps. The two surfaces were relatively stable at these
389 > temperatures when no CO was present, but experienced increased surface
390 > mobility on addition of CO. Each surface was then dosed with different concentrations of CO
391   that was initially placed in the vacuum region.  Upon full adsorption,
392 < these amounts correspond to 0\%, 5\%, 25\%, 33\%, and 50\% surface
393 < coverage. Higher coverages were tried, but the CO-CO repulsion was preventing
394 < a higher amount of adsorption.  Because of the difference in binding energies, the Pt
395 < systems very rarely had CO that was not bound to the surface, while
392 > these concentrations correspond to 0\%, 5\%, 25\%, 33\%, and 50\% surface
393 > coverage. Higher coverages resulted in the formation of a double layer of CO,
394 > which introduces artifacts that are not relevant to (557) reconstruction.
395 > Because of the difference in binding energies, nearly all of the CO was bound to the Pt surface, while
396   the Au surfaces often had a significant CO population in the gas
397   phase.  These systems were allowed to reach thermal equilibrium (over
398 < 5 ns) before being run in the microcanonical (NVE) ensemble for
399 < data collection. All of the systems examined had at least 40 ns in the
400 < data collection stage, although simulation times for some of the
401 < systems exceeded 200ns.  All simulations were run using the open
398 > 5~ns) before being run in the microcanonical (NVE) ensemble for
399 > data collection. All of the systems examined had at least 40~ns in the
400 > data collection stage, although simulation times for some Pt of the
401 > systems exceeded 200~ns.  Simulations were carried out using the open
402   source molecular dynamics package, OpenMD.\cite{Ewald,OOPSE}
403  
366 % Just results, leave discussion for discussion section
367 % structure
368 %       Pt: step wandering, double layers, no triangular motifs
369 %       Au: step wandering, no double layers
370 % dynamics
371 %       diffusion
372 %       time scale, formation, breakage
373 \section{Results}
374 \subsection{Structural remodeling}
375 Tao et al. showed experimentally that the Pt(557) surface
376 undergoes two separate reconstructions upon CO
377 adsorption.\cite{Tao:2010} The first involves a doubling of
378 the step height and plateau length. Similar behavior has been
379 seen to occur on numerous surfaces at varying conditions (Ni 977, Si 111, etc).
380 \cite{Williams:1994,Williams:1991,Pearl} Of the two systems
381 we examined, the Pt system showed a larger amount of
382 reconstruction when compared to the Au system. The amount
383 of reconstruction appears to be correlated to the amount of CO
384 adsorbed upon the surface.  We believe this is related to the
385 effect that adsorbate coverage has on edge breakup and surface
386 diffusion of adatoms. While both systems displayed step-edge
387 wandering, only the Pt surface underwent the doubling seen by
388 Tao et al., within the time scales we were modeling. Specifically,
389 only the 50~\% coverage Pt system was observed to have a
390 step-edge undergo a complete doubling in the time scales we
391 were able to monitor. This event encouraged us to allow that
392 specific system to run for much longer periods during which two
393 more double layers were created. The other systems, not displaying
394 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
399 in Figure \ref{fig:reconstruct} at various times along the simulation
400 showing the evolution of the system.
404  
402 The second reconstruction on the Pt(557) surface observed by
403 Tao involved the formation of triangular clusters that stretched
404 across the plateau between two step-edges. Neither system, within
405 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.
405  
409 \subsection{Dynamics}
410 While atomistic-like simulations of stepped surfaces have been
411 performed before, they tend to be performed using Monte Carlo
412 techniques\cite{Williams:1991,Williams:1994}. This allows them
413 to efficiently sample the equilibrium thermodynamic landscape
414 but at the expense of ignoring the dynamics of the system. Previous
415 work by Pearl and Sibener\cite{Pearl}, using STM, has been able to
416 visualize the coalescing of steps of Ni(977). The time scale of the image
417 acquisition, $\sim$70 s/image provides an upper bounds for the time
418 required for the doubling to actually occur. Statistical treatments of step-edges
419 are adept at analyzing such systems. However, in a system where
420 the number of steps is limited, examining the individual atoms that make
421 up the steps can provide useful information as well.
406  
407 + % RESULTS
408 + %
409 + \section{Results}
410 + \subsection{Structural remodeling}
411 + The bare metal surfaces experienced minor roughening of the
412 + step-edge because of the elevated temperatures, but the (557)
413 + face was stable throughout the simulations. The surface of both
414 + systems, upon dosage of CO, began to undergo extensive remodeling
415 + that was not observed in the bare systems. Reconstructions of
416 + the Au systems were limited to breakup of the step-edges and
417 + some step wandering. The lower coverage Pt systems experienced
418 + similar restructuring but to a greater extent. The 50\% coverage
419 + Pt system was unique among our simulations in that it formed
420 + well-defined and stable double layers through step coalescence,
421 + similar to results reported by Tao {\it et al}.\cite{Tao:2010}
422  
424 \subsubsection{Transport of surface metal atoms}
425 %forcedSystems/stepSeparation
426 The movement or wandering of a step-edge is a cooperative effect
427 arising from the individual movements, primarily through surface
428 diffusion, of the atoms making up the step. An ideal metal surface
429 displaying a low index facet, (111) or (100) is unlikely to experience
430 much surface diffusion because of the large energetic barrier that must
431 be overcome to lift an atom out of the surface. The presence of step-edges
432 on higher-index surfaces provide a source for mobile metal atoms.
433 Breaking away from the step-edge on a clean surface still imposes an
434 energetic penalty around $\sim$~40 kcal/mole, but is much less than lifting
435 the same metal atom out from the surface,  \textgreater~60 kcal/mole, and
436 the penalty lowers even further when CO is present in sufficient quantities
437 on the surface. For certain tested distributions of CO, the penalty was lowered
438 to $\sim$~20 kcal/mole. Once an adatom exists on the surface, its barrier for
439 diffusion is negligible ( \textless~4 kcal/mole) and is well able to explore the
440 terrace before potentially rejoining its original step-edge or becoming a part
441 of a different edge. Atoms traversing separate terraces is a more difficult
442 process, but can be overcome through a joining and lifting stage which is
443 examined in the discussion section. By tracking the mobility of individual
444 metal atoms on the Pt and Au surfaces we were able to determine the relative
445 diffusion rates and how varying coverages of CO affected the rates. Close
446 observation of the mobile metal atoms showed that they were typically in
447 equilibrium with the step-edges, constantly breaking apart and rejoining.
448 At times their motion was concerted and two or more adatoms would be
449 observed moving together across the surfaces. The primary challenge in
450 quantifying the overall surface mobility was in defining ``mobile" vs. ``static" atoms.
423  
424 < A particle was considered mobile once it had traveled more than 2~\AA~
425 < between saved configurations of the system (10-100 ps). An atom that was
426 < truly mobile would typically travel much greater than this, but the 2~\AA~ cutoff
427 < was to prevent the in-place vibrational movement of non-surface atoms from
428 < being included in the analysis. Diffusion on  a surface is strongly affected by
429 < local structures and in this work the presence of single and double layer
430 < step-edges causes the diffusion parallel to the step-edges to be different
431 < from the diffusion perpendicular to these edges. This led us to compute
432 < those diffusions separately as seen in Figure \ref{fig:diff}.
424 > \subsubsection{Step wandering}
425 > The 0\% coverage surfaces for both metals showed minimal
426 > step-wandering at their respective temperatures. As the CO
427 > coverage increased however, the mobility of the surface atoms,
428 > described through adatom diffusion and step-edge wandering,
429 > also increased.  Except for the 50\% Pt system where step
430 > coalescence occurred, the step-edges in the other simulations
431 > preferred to keep nearly the same distance between steps as in
432 > the original (557) lattice, $\sim$13\AA~for Pt and $\sim$14\AA~for Au.
433 > Previous work by Williams {\it et al}.\cite{Williams:1991, Williams:1994}
434 > highlights the repulsion that exists between step-edges even
435 > when no direct interactions are present in the system. This
436 > repulsion is caused by an entropic barrier that arises from
437 > the fact that steps cannot cross over one another. This entropic
438 > repulsion does not completely define the interactions between
439 > steps, however, so it is possible to observe step coalescence
440 > on some surfaces.\cite{Williams:1991} The presence and
441 > concentration of adsorbates, as shown in this work, can
442 > affect step-step interactions, potentially leading to a new
443 > surface structure as the thermodynamic equilibrium.
444  
445 < \subsubsection{Double layer formation}
446 < The increased amounts of diffusion on Pt at the higher CO coverages appears
447 < to play a primary role in the formation of double layers, although this conclusion
448 < does not explain the 33\% coverage Pt system. On the 50\% system, three
449 < separate layers were formed over the extended run time of this system. As
450 < mentioned earlier, previous experimental work has given some insight into the
451 < upper bounds of the time required for enough atoms to move around to allow two
452 < steps to coalesce\cite{Williams:1991,Pearl}. As seen in Figure \ref{fig:reconstruct},
453 < the first appearance of a double layer, a nodal site, appears at 19 ns into the
454 < simulation. Within 12 ns, nearly half of the step has formed the double layer and
455 < by 86 ns, a smooth complete layer has formed. The double layer is ``complete" by
456 < 37 ns but is a bit rough. From the appearance of the first node to the initial doubling
457 < of the layers ignoring their roughness took $\sim$~20 ns. Another ~40 ns was
458 < necessary for the layer to completely straighten. The other two layers in this
459 < simulation form over a period of 22 ns and 42 ns respectively. Comparing this to
460 < the upper bounds of the image scan, it is likely that aspects of this reconstruction
461 < occur very quickly.
445 > \subsubsection{Double layers}
446 > Tao {\it et al}.\cite{Tao:2010} have shown experimentally that the Pt(557) surface
447 > undergoes two separate reconstructions upon CO adsorption.
448 > The first involves a doubling of the step height and plateau length.
449 > Similar behavior has been seen on a number of surfaces
450 > at varying conditions, including Ni(977) and Si(111).\cite{Williams:1994,Williams:1991,Pearl}
451 > Of the two systems we examined, the Pt system showed a greater
452 > propensity for reconstruction  
453 > because of the larger surface mobility and the greater extent of step wandering.
454 > The amount of reconstruction was strongly correlated to the amount of CO
455 > adsorbed upon the surface.  This appears to be related to the
456 > effect that adsorbate coverage has on edge breakup and on the
457 > surface diffusion of metal adatoms. Only the 50\% Pt surface underwent the
458 > doubling seen by Tao {\it et al}.\cite{Tao:2010} within the time scales studied here.
459 > Over a longer time scale (150~ns) two more double layers formed
460 > on this surface. Although double layer formation did not occur
461 > in the other Pt systems, they exhibited more step-wandering and
462 > roughening compared to their Au counterparts. The
463 > 50\% Pt system is highlighted in Figure \ref{fig:reconstruct} at
464 > various times along the simulation showing the evolution of a double layer step-edge.
465  
466 + The second reconstruction observed by
467 + Tao {\it et al}.\cite{Tao:2010} involved the formation of triangular clusters that stretched
468 + across the plateau between two step-edges. Neither metal, within
469 + the 40~ns time scale or the extended simulation time of 150~ns for
470 + the 50\% Pt system, experienced this reconstruction.
471 +
472   %Evolution of surface
473   \begin{figure}[H]
474   \includegraphics[width=\linewidth]{ProgressionOfDoubleLayerFormation_yellowCircle.png}
475   \caption{The Pt(557) / 50\% CO system at a sequence of times after
476 <  initial exposure to the CO: (a) 258 ps, (b) 19 ns, (c) 31.2 ns, and
477 <  (d) 86.1 ns. Disruption of the (557) step-edges occurs quickly.  The
476 >  initial exposure to the CO: (a) 258~ps, (b) 19~ns, (c) 31.2~ns, and
477 >  (d) 86.1~ns. Disruption of the (557) step-edges occurs quickly.  The
478    doubling of the layers appears only after two adjacent step-edges
479    touch.  The circled spot in (b) nucleated the growth of the double
480    step observed in the later configurations.}
481    \label{fig:reconstruct}
482   \end{figure}
483  
484 + \subsection{Dynamics}
485 + Previous experimental work by Pearl and Sibener\cite{Pearl},
486 + using STM, has been able to capture the coalescence of steps
487 + on Ni(977). The time scale of the image acquisition, $\sim$70~s/image,
488 + provides an upper bound for the time required for the doubling
489 + to occur. By utilizing Molecular Dynamics we are able to probe
490 + the dynamics of these reconstructions at elevated temperatures
491 + and in this section we provide data on the timescales for transport
492 + properties, e.g. diffusion and layer formation time.
493 +
494 +
495 + \subsubsection{Transport of surface metal atoms}
496 + %forcedSystems/stepSeparation
497 + The wandering of a step-edge is a cooperative effect
498 + arising from the individual movements of the atoms making up the steps. An ideal metal surface
499 + displaying a low index facet, (111) or (100), is unlikely to experience
500 + much surface diffusion because of the large energetic barrier that must
501 + be overcome to lift an atom out of the surface. The presence of step-edges and other surface features
502 + on higher-index facets provides a lower energy source for mobile metal atoms.
503 + Single-atom break-away from a step-edge on a clean surface still imposes an
504 + energetic penalty around $\sim$~45 kcal/mol, but this is easier than lifting
505 + the same metal atom vertically out of the surface,  \textgreater~60 kcal/mol.
506 + The penalty lowers significantly when CO is present in sufficient quantities
507 + on the surface. For certain distributions of CO, see Discussion, the penalty can fall to as low as
508 + $\sim$~20 kcal/mol. Once an adatom exists on the surface, the barrier for
509 + diffusion is negligible (\textless~4 kcal/mol for a Pt adatom). These adatoms are then
510 + able to explore the terrace before rejoining either their original step-edge or
511 + becoming a part of a different edge. It is an energetically unfavorable process with a high barrier for an atom
512 + to traverse to a separate terrace although the presence of CO can lower the
513 + energy barrier required to lift or lower an adatom. By tracking the mobility of individual
514 + metal atoms on the Pt and Au surfaces we were able to determine the relative
515 + diffusion constants, as well as how varying coverages of CO affect the diffusion. Close
516 + observation of the mobile metal atoms showed that they were typically in
517 + equilibrium with the step-edges.
518 + At times, their motion was concerted and two or more adatoms would be
519 + observed moving together across the surfaces.
520 +
521 + A particle was considered ``mobile'' once it had traveled more than 2~\AA~
522 + between saved configurations of the system (typically 10-100 ps). A mobile atom
523 + would typically travel much greater distances than this, but the 2~\AA~cutoff
524 + was used to prevent swamping the diffusion data with the in-place vibrational
525 + movement of buried atoms. Diffusion on a surface is strongly affected by
526 + local structures and in this work, the presence of single and double layer
527 + step-edges causes the diffusion parallel to the step-edges to be larger than
528 + the diffusion perpendicular to these edges. Parallel and perpendicular
529 + diffusion constants are shown in Figure \ref{fig:diff}.
530 +
531 + %Diffusion graph
532   \begin{figure}[H]
533 < \includegraphics[width=\linewidth]{DiffusionComparison_errorXY_remade.pdf}
533 > \includegraphics[width=\linewidth]{DiffusionComparison_errorXY_remade_20ns.pdf}
534   \caption{Diffusion constants for mobile surface atoms along directions
535    parallel ($\mathbf{D}_{\parallel}$) and perpendicular
536    ($\mathbf{D}_{\perp}$) to the (557) step-edges as a function of CO
537    surface coverage.  Diffusion parallel to the step-edge is higher
538    than that perpendicular to the edge because of the lower energy
539    barrier associated with traversing along the edge as compared to
540 <  completely breaking away. Additionally, the observed
541 <  maximum and subsequent decrease for the Pt system suggests that the
542 <  CO self-interactions are playing a significant role with regards to
543 <  movement of the Pt atoms around and across the surface. }
540 >  completely breaking away. The two reported diffusion constants for
541 >  the 50\% Pt system arise from different sample sets. The lower values
542 >  correspond to the same 40~ns amount that all of the other systems were
543 >  examined at, while the larger values correspond to a 20~ns period }
544   \label{fig:diff}
545   \end{figure}
546  
547 + The weaker Au-CO interaction is evident in the weak CO-coverage
548 + dependance of Au diffusion. This weak interaction leads to lower
549 + observed coverages when compared to dosage amounts. This further
550 + limits the effect the CO can have on surface diffusion. The correlation
551 + between coverage and Pt diffusion rates shows a near linear relationship
552 + at the earliest times in the simulations. Following double layer formation,
553 + however, there is a precipitous drop in adatom diffusion. As the double
554 + layer forms, many atoms that had been tracked for mobility data have
555 + now been buried resulting in a smaller reported diffusion constant. A
556 + secondary effect of higher coverages is CO-CO cross interactions that
557 + lower the effective mobility of the Pt adatoms that are bound to each CO.
558 + This effect would become evident only at higher coverages. A detailed
559 + account of Pt adatom energetics follows in the Discussion.
560 +
561  
562 + \subsubsection{Dynamics of double layer formation}
563 + The increased diffusion on Pt at the higher CO coverages is the primary
564 + contributor to double layer formation. However, this is not a complete
565 + explanation -- the 33\%~Pt system has higher diffusion constants, but
566 + did not show any signs of edge doubling in 40~ns. On the 50\%~Pt
567 + system, one double layer formed within the first 40~ns of simulation time,
568 + while two more were formed as the system was allowed to run for an
569 + additional 110~ns (150~ns total). This suggests that this reconstruction
570 + is a rapid process and that the previously mentioned upper bound is a
571 + very large overestimate.\cite{Williams:1991,Pearl} In this system the first
572 + appearance of a double layer appears at 19~ns into the simulation.
573 + Within 12~ns of this nucleation event, nearly half of the step has formed
574 + the double layer and by 86~ns the complete layer has flattened out.
575 + From the appearance of the first nucleation event to the first observed
576 + double layer, the process took $\sim$20~ns. Another $\sim$40~ns was
577 + necessary for the layer to completely straighten. The other two layers in
578 + this simulation formed over periods of 22~ns and 42~ns respectively.
579 + A possible explanation for this rapid reconstruction is the elevated
580 + temperatures under which our systems were simulated. The process
581 + would almost certainly take longer at lower temperatures. Additionally,
582 + our measured times for completion of the doubling after the appearance
583 + of a nucleation site are likely affected by our periodic boxes. A longer
584 + step-edge will likely take longer to ``zipper''.
585  
586  
587   %Discussion
588   \section{Discussion}
589 < In this paper we have shown that we were able to accurately model the initial reconstruction of the
590 < Pt(557) surface upon CO adsorption as shown by Tao et al. \cite{Tao:2010}. More importantly, we
591 < were able to observe the dynamic processes necessary for this reconstruction.
589 > We have shown that a classical potential model is able to model the
590 > initial reconstruction of the Pt(557) surface upon CO adsorption as
591 > shown by Tao {\it et al}.\cite{Tao:2010}. More importantly, we were
592 > able to observe features of the dynamic processes necessary for
593 > this reconstruction. Here we discuss the features of the model that
594 > give rise to the observed dynamical properties of the (557) reconstruction.
595  
596 < \subsection{Mechanism for restructuring}
597 < Comparing the results from simulation to those reported previously by
598 < Tao et al.\cite{Tao:2010} the similarities in the Pt-CO system are quite
599 < strong. As shown in Figure \ref{fig:reconstruct}, the simulated Pt
600 < system under a CO atmosphere will restructure by doubling the terrace
601 < heights. The restructuring occurs slowly, one to two Pt atoms at a time.
602 < Looking at individual configurations of the system, the adatoms either
603 < break away from the step-edge and stay on the lower terrace or they lift
604 < up onto the higher terrace. Once ``free'' they will diffuse on the terrace
605 < until reaching another step-edge or coming back to their original edge.  
606 < This combination of growth and decay of the step-edges is in a state of
607 < dynamic equilibrium. However, once two previously separated edges
608 < meet as shown in Figure 1.B, this meeting point tends to act as a focus
609 < 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.
596 > \subsection{Diffusion}
597 > The perpendicular diffusion constant
598 > appears to be the most important indicator of double layer
599 > formation. As highlighted in Figure \ref{fig:reconstruct}, the
600 > formation of the double layer did not begin until a nucleation
601 > site appeared. And as mentioned by Williams {\it et al}.\cite{Williams:1991, Williams:1994},
602 > the inability for edges to cross leads to an effective edge-edge repulsion that
603 > must be overcome to allow step coalescence.
604 > A greater $\textbf{D}_\perp$ implies more step-wandering
605 > and a larger chance for the stochastic meeting of two edges
606 > to create a nucleation point. Parallel diffusion along the step-edge can help ``zipper'' up a nascent double
607 > layer. This helps explain why the time scale for formation after
608 > the appearance of a nucleation site was rapid, while the initial
609 > appearance of the nucleation site was unpredictable.
610  
611 < A number of possible mechanisms exist to explain the role of adsorbed
612 < CO in restructuring the Pt surface. Quadrupolar repulsion between adjacent
613 < CO molecules adsorbed on the surface is one likely possibility.  However,
614 < the quadrupole-quadrupole interaction is short-ranged and is attractive for
615 < some orientations.  If the CO molecules are ``locked'' in a specific orientation
616 < relative to each other, through atop adsorption perhaps, this explanation
617 < gains some weight.  The energetic repulsion between two CO located a
618 < distance of 2.77~\AA~apart (nearest-neighbor distance of Pt) with both in
619 < a  vertical orientation is 8.62 kcal/mole. Moving the CO apart to the second
620 < nearest-neighbor distance of 4.8~\AA~or 5.54~\AA~drops the repulsion to
621 < nearly 0 kcal/mole. Allowing the CO's to leave a purely vertical orientation
622 < also quickly drops the repulsion, a minimum is reached at $\sim$24 degrees
623 < of 6.2 kcal/mole. As mentioned above, the energy barrier for surface diffusion
624 < of a Pt adatom is only 4 kcal/mole. So this repulsion between CO can help
625 < increase the surface diffusion. However, the residence time of CO was
626 < examined and while the majority of the CO is on or near the surface throughout
627 < the run, it is extremely mobile. This mobility suggests that the CO are more
628 < likely to shift their positions without necessarily dragging the Pt along with them.
611 > \subsection{Mechanism for restructuring}
612 > Since the Au surface showed no large scale restructuring in any of
613 > our simulations, our discussion will focus on the 50\% Pt-CO system
614 > which did exhibit doubling. A
615 > number of possible mechanisms exist to explain the role of adsorbed
616 > CO in restructuring the Pt surface. Quadrupolar repulsion between
617 > adjacent CO molecules adsorbed on the surface is one possibility.  
618 > However, the quadrupole-quadrupole interaction is short-ranged and
619 > is attractive for some orientations.  If the CO molecules are ``locked'' in
620 > a specific orientation relative to each other, through atop adsorption for
621 > example, this explanation would gain credence. The calculated energetic repulsion
622 > between two CO molecules located a distance of 2.77~\AA~apart
623 > (nearest-neighbor distance of Pt) and both in a vertical orientation,
624 > is 8.62 kcal/mol. Moving the CO to the second nearest-neighbor distance
625 > of 4.8~\AA~drops the repulsion to nearly 0. Allowing the CO to rotate away
626 > from a purely vertical orientation also lowers the repulsion. When the
627 > carbons are locked at a distance of 2.77~\AA, a minimum of 6.2 kcal/mol is
628 > reached when the angle between the 2 CO is $\sim$24\textsuperscript{o}.
629 > The calculated barrier for surface diffusion of a Pt adatom is only 4 kcal/mol, so
630 > repulsion between adjacent CO molecules bound to Pt could increase the surface
631 > diffusion. However, the residence time of CO on Pt suggests that these
632 > molecules are extremely mobile, with diffusion constants 40 to 2500 times
633 > larger than surface Pt atoms. This mobility suggests that the CO molecules jump
634 > between different Pt atoms throughout the simulation, but will stay bound for
635 > significant periods of time.
636  
637 < Another possible and more likely mechanism for the restructuring is in the
638 < destabilization of strong Pt-Pt interactions by CO adsorbed on surface
639 < Pt atoms.  This would then have the effect of increasing surface mobility
640 < of these atoms.  To test this hypothesis, numerous configurations of
641 < CO in varying quantities were arranged on the higher and lower plateaus
642 < around a step on a otherwise clean Pt(557) surface. One representative
643 < configuration is displayed in Figure \ref{fig:lambda}. Single or concerted movement
644 < of Pt atoms was then examined to determine possible barriers. Because
645 < the movement was forced along a pre-defined reaction coordinate that may differ
646 < from the true minimum of this path, only the beginning and ending energies
647 < are displayed in Table \ref{tab:energies}. These values suggest that the presence of CO at suitable
648 < locations can lead to lowered barriers for Pt breaking apart from the step-edge.
649 < Additionally, as highlighted in Figure \ref{fig:lambda}, the presence of CO makes the
650 < burrowing and lifting of adatoms favorable, whereas without CO, the process is neutral
651 < in terms of energetics.
637 > A different interpretation of the above mechanism, taking into account the large
638 > mobility of the CO, looks at how instantaneous and short-lived configurations of
639 > CO on the surface can destabilize Pt-Pt interactions leading to increased step-edge
640 > breakup and diffusion. On the bare Pt(557) surface the barrier to completely detach
641 > an edge atom is $\sim$43~kcal/mol, as is shown in configuration (a) in Figures
642 > \ref{fig:SketchGraphic} \& \ref{fig:SketchEnergies}. For certain configurations, cases
643 > (e), (g), and (h), the barrier can be lowered to $\sim$23~kcal/mole. In these instances,
644 > it becomes quite energetically favorable to roughen the edge by introducing a small
645 > separation of 0.5 to 1.0~\AA. This roughening becomes immediately obvious in
646 > simulations with significant CO populations. The roughening is present to a lesser extent
647 > on lower coverage surfaces and even on the bare surfaces, although in these cases it is likely
648 > due to stochastic vibrational processes that squeeze out step-edge atoms. The mechanism
649 > of step-edge breakup suggested by these energy curves is one of the most difficult
650 > processes, a complete break-away from the step-edge in one unbroken movement.
651 > Easier multistep mechanisms likely exist where an adatom moves laterally on the surface
652 > after being ejected so it ends up alongside the ledge. This provides the atom with 5 nearest
653 > neighbors, which while lower than the 7 if it had stayed a part of the step-edge, is higher
654 > than the 3 it could maintain located on the terrace. In this proposed mechanism, the CO
655 > quadrupolar repulsion is still playing a primary role, but for its importance in roughening
656 > the step-edge, rather than maintaining long-term bonds with a single Pt atom which is not
657 > born out by their mobility data. The requirement for a large density of CO on the surface
658 > for some of the more favorable suggested configurations in Figure \ref{fig:SketchGraphic}
659 > correspond well with the increased mobility seen on higher coverage surfaces.
660  
661 + %Sketch graphic of different configurations
662 + \begin{figure}[H]
663 + \includegraphics[width=0.8\linewidth, height=0.8\textheight]{COpathsSketch.pdf}
664 + \caption{The dark grey atoms refer to the upper ledge, while the white atoms are
665 + the lower terrace. The blue highlighted atoms had a CO in a vertical atop position
666 + upon them. These are a sampling of the configurations examined to gain a more
667 + complete understanding of the effects CO has on surface diffusion and edge breakup.
668 + Energies associated with each configuration are displayed in Figure \ref{fig:SketchEnergies}.}
669 + \label{fig:SketchGraphic}
670 + \end{figure}
671 +
672 + %energy graph corresponding to sketch graphic
673 + \begin{figure}[H]
674 + \includegraphics[width=\linewidth]{stepSeparationComparison.pdf}
675 + \caption{The energy curves directly correspond to the labeled model
676 + surface in Figure \ref{fig:SketchGraphic}. All energy curves are relative
677 + to their initial configuration so the energy of a and h do not have the
678 + same zero value. As is seen, certain arrangements of CO can lower
679 + the energetic barrier that must be overcome to create an adatom.
680 + However, it is the highest coverages where these higher-energy
681 + configurations of CO will be more likely. }
682 + \label{fig:SketchEnergies}
683 + \end{figure}
684 +
685 + While configurations of CO on the surface are able to increase diffusion,
686 + this does not immediately provide an explanation for the formation of double
687 + layers. If adatoms were constrained to their terrace then doubling would be
688 + much less likely to occur. Nucleation sites could still potentially form, but there
689 + would not be enough atoms to finish the doubling. For a non-simulated metal surface, where the
690 + step lengths can be assumed to be infinite relative to atomic sizes, local doubling would be possible, but in
691 + our simulations with our periodic treatment of the system, the system is not large enough to experience this effect.
692 + Thus, there must be a mechanism that explains how adatoms are able to move
693 + amongst terraces. Figure \ref{fig:lambda} shows points along a reaction coordinate
694 + where an adatom along the step-edge with an adsorbed CO ``burrows'' into the
695 + edge displacing an atom onto the higher terrace. This mechanism was chosen
696 + because of similar events that were observed during the simulations. The barrier
697 + heights we obtained are only approximations because we constrained the movement
698 + of the highlighted atoms along a specific concerted path. The calculated $\Delta E$'s
699 + are provide a strong energetic support for this modeled lifting mechanism. When CO is not present and
700 + this reaction coordinate is followed, the $\Delta E > 3$~kcal/mol. The example shown
701 + in the figure, where CO is present in the atop position, has a $\Delta E < -15$~kcal/mol.
702 + While the barrier height is comparable for both cases, there is nearly a 20~kcal/mol
703 + difference in energies and makes the process energetically favorable.
704 +
705   %lambda progression of Pt -> shoving its way into the step
706   \begin{figure}[H]
707 < \includegraphics[width=\linewidth]{lambdaProgression_atopCO.png}
708 < \caption{A model system of the Pt(557) surface was used as the framework
709 < for exploring energy barriers along a reaction coordinate. Various numbers,
710 < placements, and rotations of CO were examined as they affect Pt movement.
711 < The coordinate displayed in this Figure was a representative run. As shown
576 < in Table \ref{tab:rxcoord}, relative to the energy of the system at 0\%, there
577 < is a slight decrease upon insertion of the Pt atom into the step-edge along
578 < with the resultant lifting of the other Pt atom when CO is present at certain positions.}
707 > \includegraphics[width=\linewidth]{lambdaProgression_atopCO_withLambda.png}
708 > \caption{ Various points along a reaction coordinate are displayed in the figure.
709 > The mechanism of edge traversal is examined in the presence of CO. The approximate
710 > barrier for the displayed process is 20~kcal/mol. However, the $\Delta E$ of this process
711 > is -15~kcal/mol making it an energetically favorable process.}
712   \label{fig:lambda}
713   \end{figure}
714  
715 + The mechanism for doubling on this surface appears to require the cooperation of at least
716 + these two described processes. For complete doubling of a layer to occur there must
717 + be the equivalent removal of a separate terrace. For those atoms to ``disappear'' from
718 + that terrace they must either rise up on the ledge above them or drop to the ledge below
719 + them. The presence of CO helps with the energetics of both of these situations. There must be sufficient
720 + breakage of the step-edge to increase the concentration of adatoms on the surface and
721 + these adatoms must then undergo the burrowing highlighted above or some comparable
722 + mechanism to traverse the step-edge. Over time, these mechanisms working in concert
723 + lead to the formation of a double layer.
724  
725 + \subsection{CO Removal and double layer stability}
726 + Once a double layer had formed on the 50\%~Pt system it
727 + remained for the rest of the simulation time with minimal
728 + movement. There were configurations that showed small
729 + wells or peaks forming, but typically within a few nanoseconds
730 + the feature would smooth away. Within our simulation time,
731 + the formation of the double layer was irreversible and a double
732 + layer was never observed to split back into two single layer
733 + step-edges while CO was present. To further gauge the effect
734 + CO had on this system, additional simulations were run starting
735 + from a late configuration of the 50\%~Pt system that had formed
736 + double layers. These simulations then had their CO removed.
737 + The double layer breaks rapidly in these simulations, already
738 + showing a well-defined splitting after 100~ps. Configurations of
739 + this system are shown in Figure \ref{fig:breaking}. The coloring
740 + of the top and bottom layers helps to exhibit how much mixing
741 + the edges experience as they split. These systems were only
742 + examined briefly, 10~ns, and within that time despite the initial
743 + rapid splitting, the edges only moved another few \AA~apart.
744 + It is possible with longer simulation times that the
745 + (557) lattice could be recovered as seen by Tao {\it et al}.\cite{Tao:2010}
746  
584 \subsection{Diffusion}
585 As shown in the results section, the diffusion parallel to the step-edge tends to be
586 much larger than that perpendicular to the step-edge, likely because of the dynamic
587 equilibrium that is established between the step-edge and adatom interface. The coverage
588 of CO also appears to play a slight role in relative rates of diffusion, as shown in Figure \ref{fig:diff}.
589 The
590 Thus, the bottleneck of the double layer formation appears to be the initial formation
591 of this growth point, which seems to be somewhat of a stochastic event. Once it
592 appears, parallel diffusion, along the now slightly angled step-edge, will allow for
593 a faster formation of the double layer than if the entire process were dependent on
594 only perpendicular diffusion across the plateaus. Thus, the larger $D_{\perp}$, the
595 more likely a growth point is to be formed.
596 \\
747  
748  
749   %breaking of the double layer upon removal of CO
750   \begin{figure}[H]
751   \includegraphics[width=\linewidth]{doubleLayerBreaking_greenBlue_whiteLetters.png}
752 < %:
753 < \caption{(A)  0 ps, (B) 100 ps, (C) 1 ns, after the removal of CO. The presence of the CO
754 < helped maintain the stability of the double layer and upon removal the two layers break
755 < and begin separating. The separation is not a simple pulling apart however, rather
756 < there is a mixing of the lower and upper atoms at the edge.}
752 > \caption{(A)  0~ps, (B) 100~ps, (C) 1~ns, after the removal of CO. The presence of the CO
753 > helped maintain the stability of the double layer and its microfaceting of the double layer
754 > into a (111) configuration. This microfacet immediately reverts to the original (100) step
755 > edge which is a hallmark of the (557) surface. The separation is not a simple sliding apart, rather
756 > there is a mixing of the lower and upper atoms at the edge.}
757   \label{fig:breaking}
758   \end{figure}
759  
# Line 611 | Line 761 | more likely a growth point is to be formed.
761  
762  
763   %Peaks!
764 < \begin{figure}[H]
765 < \includegraphics[width=\linewidth]{doublePeaks_noCO.png}
766 < \caption{At the initial formation of this double layer  ( $\sim$ 37 ns) there is a degree
767 < of roughness inherent to the edge. The next $\sim$ 40 ns show the edge with
768 < aspects of waviness and by 80 ns the double layer is completely formed and smooth. }
769 < \label{fig:peaks}
770 < \end{figure}
764 > %\begin{figure}[H]
765 > %\includegraphics[width=\linewidth]{doublePeaks_noCO.png}
766 > %\caption{At the initial formation of this double layer  ( $\sim$ 37 ns) there is a degree
767 > %of roughness inherent to the edge. The next $\sim$ 40 ns show the edge with
768 > %aspects of waviness and by 80 ns the double layer is completely formed and smooth. }
769 > %\label{fig:peaks}
770 > %\end{figure}
771  
772  
773   %Don't think I need this
# Line 631 | Line 781 | In this work we have shown the reconstruction of the P
781  
782  
783   \section{Conclusion}
784 < 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.
784 > The strength of the Pt-CO binding interaction as well as the large
785 > quadrupolar repulsion between CO molecules are sufficient to
786 > explain the observed increase in surface mobility and the resultant
787 > reconstructions at the highest simulated coverage. The weaker
788 > Au-CO interaction results in lower diffusion constants, less step-wandering,
789 > and a lack of the double layer reconstruction. An in-depth examination
790 > of the energetics shows the important role CO plays in increasing
791 > step-breakup and in facilitating edge traversal which are both
792 > necessary for double layer formation.
793  
794 +
795 +
796   %Things I am not ready to remove yet
797  
798   %Table of Diffusion Constants
# Line 655 | Line 815 | In this work we have shown the reconstruction of the P
815   % \end{tabular}
816   % \end{table}
817  
818 < \section{Acknowledgments}
818 > \begin{acknowledgement}
819   Support for this project was provided by the National Science
820   Foundation under grant CHE-0848243 and by the Center for Sustainable
821   Energy at Notre Dame (cSEND). Computational time was provided by the
822   Center for Research Computing (CRC) at the University of Notre Dame.
823 <
823 > \end{acknowledgement}
824   \newpage
825   \bibliography{firstTryBibliography}
826 < \end{doublespace}
826 > %\end{doublespace}
827 >
828 > \begin{tocentry}
829 > %\includegraphics[height=3.5cm]{timelapse}
830 > \end{tocentry}
831 >
832   \end{document}

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