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1   \documentclass[journal = jpccck, manuscript = article]{achemso}
2   \setkeys{acs}{usetitle = true}
3   \usepackage{achemso}
4 \usepackage{caption}
5 \usepackage{float}
6 \usepackage{geometry}
4   \usepackage{natbib}
8 \usepackage{setspace}
9 \usepackage{xkeyval}
10 %%%%%%%%%%%%%%%%%%%%%%%
11 \usepackage{amsmath}
12 \usepackage{amssymb}
13 \usepackage{times}
14 \usepackage{mathptm}
15 \usepackage{setspace}
16 \usepackage{endfloat}
17 \usepackage{caption}
18 \usepackage{tabularx}
19 \usepackage{longtable}
20 \usepackage{graphicx}
5   \usepackage{multirow}
6 < \usepackage{multicol}
7 < \mciteErrorOnUnknownfalse
8 < %\usepackage{epstopdf}
6 > \usepackage{wrapfig}
7 > \usepackage{fixltx2e}
8 > %\mciteErrorOnUnknownfalse
9  
10   \usepackage[version=3]{mhchem}  % this is a great package for formatting chemical reactions
27 % \usepackage[square, comma, sort&compress]{natbib}
11   \usepackage{url}
29 \pagestyle{plain} \pagenumbering{arabic} \oddsidemargin 0.0cm
30 \evensidemargin 0.0cm \topmargin -21pt \headsep 10pt \textheight
31 9.0in \textwidth 6.5in \brokenpenalty=1110000
12  
33 % double space list of tables and figures
34 %\AtBeginDelayedFloats{\renewcomand{\baselinestretch}{1.66}}
35 \setlength{\abovecaptionskip}{20 pt}
36 \setlength{\belowcaptionskip}{30 pt}
37 % \bibpunct{}{}{,}{s}{}{;}
38
39 %\citestyle{nature}
40 % \bibliographystyle{achemso}
41
13   \title{Molecular Dynamics simulations of the surface reconstructions
14    of Pt(557) and Au(557) under exposure to CO}
15  
# Line 77 | Line 48
48   \begin{abstract}
49    The mechanism and dynamics of surface reconstructions of Pt(557) and
50    Au(557) exposed to various coverages of carbon monoxide (CO) were
51 <  investigated using molecular dynamics simulations. Metal-CO
51 >  investigated using molecular dynamics simulations.  Metal-CO
52    interactions were parameterized from experimental data and
53    plane-wave Density Functional Theory (DFT) calculations.  The large
54    difference in binding strengths of the Pt-CO and Au-CO interactions
# Line 86 | Line 57
57    wandering and step doubling were investigated on the Pt(557)
58    surface.  We find that the energetics of CO adsorbed to the surface
59    can explain the step-doubling reconstruction observed on Pt(557) and
60 <  the lack of such a reconstruction on the Au(557) surface.
60 >  the lack of such a reconstruction on the Au(557) surface.  However,
61 >  more complicated reconstructions into triangular clusters that have
62 >  been seen in recent experiments were not observed in these
63 >  simulations.
64   \end{abstract}
65  
66   \newpage
# Line 118 | Line 92 | This work is an investigation into the mechanism and t
92   reversible restructuring under exposure to moderate pressures of
93   carbon monoxide.\cite{Tao:2010}
94  
95 < This work is an investigation into the mechanism and timescale for the Pt(557) \& Au(557)
96 < surface restructuring using molecular simulations.  Since the dynamics
97 < of the process are of particular interest, we employ classical force
98 < fields that represent a compromise between chemical accuracy and the
99 < computational efficiency necessary to simulate the process of interest.
100 < Since restructuring typically occurs as a result of specific interactions of the
101 < catalyst with adsorbates, in this work, two metal systems exposed
102 < to carbon monoxide were examined. The Pt(557) surface has already been shown
103 < to undergo a large scale reconstruction under certain conditions.\cite{Tao:2010}
104 < The Au(557) surface, because of a weaker interaction with CO, is less
105 < likely to undergo this kind of reconstruction. However, Peters {\it et al}.\cite{Peters:2000}
106 < and Piccolo {\it et al}.\cite{Piccolo:2004} have both observed CO-induced
107 < reconstruction of a Au(111) surface. Peters {\it et al}. saw a relaxation to the
108 < 22 x $\sqrt{3}$ cell. They argued that only a few Au atoms
109 < become adatoms, limiting the stress of this reconstruction, while
110 < allowing the rest to relax and approach the ideal (111)
111 < configuration. They did not see the usual herringbone pattern on Au(111) being greatly
112 < affected by this relaxation. Piccolo {\it et al}. on the other hand, did see a
113 < disruption of the herringbone pattern as CO was adsorbed to the
114 < surface. Both groups suggested that the preference CO shows for
115 < low-coordinated Au atoms was the primary driving force for the reconstruction.
95 > This work is an investigation into the mechanism and timescale for the
96 > Pt(557) \& Au(557) surface restructuring using molecular simulation.
97 > Since the dynamics of the process are of particular interest, we
98 > employ classical force fields that represent a compromise between
99 > chemical accuracy and the computational efficiency necessary to
100 > simulate the process of interest.  Since restructuring typically
101 > occurs as a result of specific interactions of the catalyst with
102 > adsorbates, in this work, two metal systems exposed to carbon monoxide
103 > were examined. The Pt(557) surface has already been shown to undergo a
104 > large scale reconstruction under certain conditions.\cite{Tao:2010}
105 > The Au(557) surface, because of weaker interactions with CO, is less
106 > likely to undergo this kind of reconstruction. However, Peters {\it et
107 >  al}.\cite{Peters:2000} and Piccolo {\it et al}.\cite{Piccolo:2004}
108 > have both observed CO-induced modification of reconstructions to the
109 > Au(111) surface. Peters {\it et al}. observed the Au(111)-($22 \times
110 > \sqrt{3}$) ``herringbone'' reconstruction relaxing slightly under CO
111 > adsorption. They argued that only a few Au atoms become adatoms,
112 > limiting the stress of this reconstruction, while allowing the rest to
113 > relax and approach the ideal (111) configuration.  Piccolo {\it et
114 >  al}. on the other hand, saw a more significant disruption of the
115 > Au(111)-($22 \times \sqrt{3}$) herringbone pattern as CO adsorbed on
116 > the surface. Both groups suggested that the preference CO shows for
117 > low-coordinated Au atoms was the primary driving force for the
118 > relaxation.  Although the Au(111) reconstruction was not the primary
119 > goal of our work, the classical models we have fit may be of future
120 > use in simulating this reconstruction.
121  
143
144
122   %Platinum molecular dynamics
123   %gold molecular dynamics
124  
125   \section{Simulation Methods}
126 < The challenge in modeling any solid/gas interface is the
127 < development of a sufficiently general yet computationally tractable
128 < model of the chemical interactions between the surface atoms and
129 < adsorbates.  Since the interfaces involved are quite large (10$^3$ -
130 < 10$^4$ atoms) and respond slowly to perturbations, {\it ab initio}
126 > The challenge in modeling any solid/gas interface is the development
127 > of a sufficiently general yet computationally tractable model of the
128 > chemical interactions between the surface atoms and adsorbates.  Since
129 > the interfaces involved are quite large (10$^3$ - 10$^4$ atoms), have
130 > many electrons, and respond slowly to perturbations, {\it ab initio}
131   molecular dynamics
132   (AIMD),\cite{KRESSE:1993ve,KRESSE:1993qf,KRESSE:1994ul} Car-Parrinello
133   methods,\cite{CAR:1985bh,Izvekov:2000fv,Guidelli:2000fy} and quantum
# Line 162 | Line 139 | Au-Au and Pt-Pt interactions.\cite{Foiles86} The CO wa
139   Coulomb potential.  For this work, we have used classical molecular
140   dynamics with potential energy surfaces that are specifically tuned
141   for transition metals.  In particular, we used the EAM potential for
142 < Au-Au and Pt-Pt interactions.\cite{Foiles86} The CO was modeled using a rigid
143 < three-site model developed by Straub and Karplus for studying
142 > Au-Au and Pt-Pt interactions.\cite{Foiles86} The CO was modeled using
143 > a rigid three-site model developed by Straub and Karplus for studying
144   photodissociation of CO from myoglobin.\cite{Straub} The Au-CO and
145   Pt-CO cross interactions were parameterized as part of this work.
146    
# Line 175 | Line 152 | parameter sets. The glue model of Ercolessi {\it et al
152   methods,\cite{Daw84,Foiles86,Johnson89,Daw89,Plimpton93,Voter95a,Lu97,Alemany98}
153   but other models like the Finnis-Sinclair\cite{Finnis84,Chen90} and
154   the quantum-corrected Sutton-Chen method\cite{QSC,Qi99} have simpler
155 < parameter sets. The glue model of Ercolessi {\it et al}.\cite{Ercolessi88} is among the
156 < fastest of these density functional approaches. In
157 < all of these models, atoms are treated as a positively charged
158 < core with a radially-decaying valence electron distribution. To
159 < calculate the energy for embedding the core at a particular location,
160 < the electron density due to the valence electrons at all of the other
161 < atomic sites is computed at atom $i$'s location,
155 > parameter sets. The glue model of Ercolessi {\it et
156 >  al}.\cite{Ercolessi88} is among the fastest of these density
157 > functional approaches. In all of these models, atoms are treated as a
158 > positively charged core with a radially-decaying valence electron
159 > distribution. To calculate the energy for embedding the core at a
160 > particular location, the electron density due to the valence electrons
161 > at all of the other atomic sites is computed at atom $i$'s location,
162   \begin{equation*}
163   \bar{\rho}_i = \sum_{j\neq i} \rho_j(r_{ij})
164   \end{equation*}
# Line 208 | Line 185 | properties,\cite{Chui:2003fk,Wang:2005qy,Medasani:2007
185   The EAM, Finnis-Sinclair, and the Quantum Sutton-Chen (QSC) potentials
186   have all been widely used by the materials simulation community for
187   simulations of bulk and nanoparticle
188 < properties,\cite{Chui:2003fk,Wang:2005qy,Medasani:2007uq}
188 > properties,\cite{Chui:2003fk,Wang:2005qy,Medasani:2007uq,mishin99:_inter}
189   melting,\cite{Belonoshko00,sankaranarayanan:155441,Sankaranarayanan:2005lr}
190 < fracture,\cite{Shastry:1996qg,Shastry:1998dx} crack
191 < propagation,\cite{BECQUART:1993rg} and alloying
192 < dynamics.\cite{Shibata:2002hh} One of EAM's strengths
193 < is its sensitivity to small changes in structure. This arises
194 < because interactions
195 < up to the third nearest neighbor were taken into account in the parameterization.\cite{Voter95a}
196 < Comparing that to the glue model of Ercolessi {\it et al}.\cite{Ercolessi88}
197 < which is only parameterized up to the nearest-neighbor
198 < interactions, EAM is a suitable choice for systems where
199 < the bulk properties are of secondary importance to low-index
200 < surface structures. Additionally, the similarity of EAM's functional
201 < treatment of the embedding energy to standard density functional
202 < theory (DFT) makes fitting DFT-derived cross potentials with adsorbates somewhat easier.
203 < \cite{Foiles86,PhysRevB.37.3924,Rifkin1992,mishin99:_inter,mishin01:cu,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}  
190 > fracture,\cite{Shastry:1996qg,Shastry:1998dx,mishin01:cu} crack
191 > propagation,\cite{BECQUART:1993rg,Rifkin1992} and alloying
192 > dynamics.\cite{Shibata:2002hh,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}
193 > One of EAM's strengths is its sensitivity to small changes in
194 > structure. This is due to the inclusion of up to the third nearest
195 > neighbor interactions during fitting of the parameters.\cite{Voter95a}
196 > In comparison, the glue model of Ercolessi {\it et
197 >  al}.\cite{Ercolessi88} was only parameterized to include
198 > nearest-neighbor interactions, EAM is a suitable choice for systems
199 > where the bulk properties are of secondary importance to low-index
200 > surface structures. Additionally, the similarity of EAM's functional
201 > treatment of the embedding energy to standard density functional
202 > theory (DFT) makes fitting DFT-derived cross potentials with
203 > adsorbates somewhat easier.
204  
228
229
230
205   \subsection{Carbon Monoxide model}
206 < Previous explanations for the surface rearrangements center on
207 < the large linear quadrupole moment of carbon monoxide.\cite{Tao:2010}  
208 < We used a model first proposed by Karplus and Straub to study
209 < the photodissociation of CO from myoglobin because it reproduces
210 < the quadrupole moment well.\cite{Straub} The Straub and
211 < Karplus model treats CO as a rigid three site molecule with a massless M
212 < site at the molecular center of mass. The geometry and interaction
213 < parameters are reproduced in Table~\ref{tab:CO}. The effective
214 < dipole moment, calculated from the assigned charges, is still
215 < small (0.35 D) while the linear quadrupole (-2.40 D~\AA) is close
216 < to the experimental (-2.63 D~\AA)\cite{QuadrupoleCO} and quantum
206 > Previous explanations for the surface rearrangements center on the
207 > large linear quadrupole moment of carbon monoxide.\cite{Tao:2010} We
208 > used a model first proposed by Karplus and Straub to study the
209 > photodissociation of CO from myoglobin because it reproduces the
210 > quadrupole moment well.\cite{Straub} The Straub and Karplus model
211 > treats CO as a rigid three site molecule with a massless
212 > charge-carrying ``M'' site at the center of mass. The geometry and
213 > interaction parameters are reproduced in Table~\ref{tab:CO}. The
214 > effective dipole moment, calculated from the assigned charges, is
215 > still small (0.35 D) while the linear quadrupole (-2.40 D~\AA) is
216 > close to the experimental (-2.63 D~\AA)\cite{QuadrupoleCO} and quantum
217   mechanical predictions (-2.46 D~\AA)\cite{QuadrupoleCOCalc}.
218   %CO Table
219   \begin{table}[H]
220    \caption{Positions, Lennard-Jones parameters ($\sigma$ and
221 <    $\epsilon$), and charges for the CO-CO
222 <    interactions in Ref.\bibpunct{}{}{,}{n}{}{,} \protect\cite{Straub}. Distances are in \AA, energies are
223 <    in kcal/mol, and charges are in atomic units.}
221 >    $\epsilon$), and charges for CO-CO
222 >    interactions. Distances are in \AA, energies are
223 >    in kcal/mol, and charges are in atomic units.  The CO model
224 >    from Ref.\bibpunct{}{}{,}{n}{}{,}
225 >    \protect\cite{Straub} was used without modification.}
226   \centering
227   \begin{tabular}{| c | c | ccc |}
228   \hline
# Line 292 | Line 268 | periodic supercell plane-wave basis approach, as imple
268   The limited experimental data for CO adsorption on Au required refining the fits against plane-wave DFT calculations.
269   Adsorption energies were obtained from gas-surface DFT calculations with a
270   periodic supercell plane-wave basis approach, as implemented in the
271 < {\sc Quantum ESPRESSO} package.\cite{QE-2009} Electron cores were
271 > Quantum ESPRESSO package.\cite{QE-2009} Electron cores were
272   described with the projector augmented-wave (PAW)
273   method,\cite{PhysRevB.50.17953,PhysRevB.59.1758} with plane waves
274   included to an energy cutoff of 20 Ry. Electronic energies are
# Line 316 | Line 292 | an effect on  binding energies and binding site prefer
292   are shown in Table~\ref{tab:co_parameters} and the binding energies on the
293   (111) surfaces are displayed in Table~\ref{tab:co_energies}.  Charge transfer
294   and polarization are neglected in this model, although these effects could have
295 < an effect on  binding energies and binding site preferences.
295 > an effect on binding energies and binding site preferences.
296  
297   %Table  of Parameters
298   %Pt Parameter Set 9
299   %Au Parameter Set 35
300   \begin{table}[H]
301 <  \caption{Best fit parameters for metal-CO cross-interactions. Metal-C
302 <    interactions are modeled with Lennard-Jones potentials. While the
303 <    metal-O interactions were fit to Morse
301 >  \caption{Parameters for the metal-CO cross-interactions. Metal-C
302 >    interactions are modeled with Lennard-Jones potentials, while the
303 >    metal-O interactions were fit to broad Morse
304      potentials.  Distances are given in \AA~and energies in kcal/mol. }
305   \centering
306   \begin{tabular}{| c | cc | c | ccc |}
# Line 357 | Line 333 | an effect on  binding energies and binding site prefer
333   \label{tab:co_energies}
334   \end{table}
335  
336 +
337 + \subsection{Validation of forcefield selections}
338 + By calculating minimum energies for commensurate systems of
339 + single and double layer Pt and Au systems with 0 and 50\% coverages
340 + (arranged in a c(2x4) pattern), our forcefield selections were able to be
341 + indirectly compared to results shown in the supporting information of Tao
342 + {\it et al.} \cite{Tao:2010}. Five layer thick systems, displaying a 557 facet
343 + were constructed, each composed of 480 metal atoms. Double layers systems
344 + were constructed from six layer thick systems where an entire layer was
345 + removed from both displayed facets to create a double step. By design, the
346 + double step system also contains 480 atoms, five layers thick, so energy
347 + comparisons between the arrangements can be made directly. The positions
348 + of the atoms were allowed to relax, along with the box sizes, before a
349 + minimum energy was calculated. Carbon monoxide, equivalent to 50\%
350 + coverage on one side of the metal system was added in a c(2x4) arrangement
351 + and again allowed to relax before a minimum energy was calculated.
352 +
353 + Energies for the various systems are displayed in Table ~\ref{tab:steps}. Examining
354 + the Pt systems first, it is apparent that the double layer system is slightly less stable
355 + then the original single step. However, upon addition of carbon monoxide, the
356 + stability is reversed and the double layer system becomes more stable. This result
357 + is in agreement with DFT calculations in Tao {\it et al.}\cite{Tao:2010}, who also show
358 + that the addition of CO leads to a reversal in the most stable system. While our
359 + results agree qualitatively, quantitatively, they are approximately an order of magnitude
360 + different. Looking at additional stability per atom in kcal/mol, the DFT calculations suggest
361 + an increased stability of 0.1 kcal/mol per Pt atom, whereas we are seeing closer to a 0.4 kcal/mol
362 + increase in stability per Pt atom.
363 +
364 + The gold systems show a much smaller energy difference between the single and double
365 + systems, likely arising from their lower energy per atom values. Additionally, the weaker
366 + binding of CO to Au is evidenced by the much smaller energy change between the two systems,
367 + when compared to the Pt results. This limited change helps explain our lack of any reconstruction
368 + on the Au systems.
369 +
370 +
371 + %Table of single step double step calculations
372 + \begin{table}[H]
373 + \caption{Minimized single point energies of unit cell crystals displaying (S)ingle or (D)double steps. Systems are periodic along and perpendicular to the step-edge axes with a large vacuum above the displayed 557 facet. The addition of CO in a 50\% c(2x4) coverage acts as a stabilizing presence and suggests a driving force for the observed reconstruction on the highest coverage Pt system. All energies are in kcal/mol.}
374 + \centering
375 + \begin{tabular}{| c | c | c | c | c | c | c |}
376 + \hline
377 + \textbf{Step} & \textbf{N}\textsubscript{M} & \textbf{N\textsubscript{CO}} & \textbf{Unit-Cell Energy} & \textbf{Energy per M} & \textbf{Energy per CO} & \textbf{Difference per M} \\
378 + \hline
379 + Pt(557)-S & 480 & 0 & -61142.624 & -127.381 & - & 0 \\
380 + Pt(557)-D & 480 & 0 & -61027.841 & -127.141 & - & 0.240 \\
381 + \hline
382 + Pt(557)-S & 480 & 40 & -62960.289 & -131.167 & -45.442 & 0 \\
383 + Pt(557)-D & 480 & 44 & -63040.007 & -131.333 & -45.731 & -0.166\\
384 + \hline
385 + \hline
386 + Au(557)-S & 480 & 0 & -41879.286 & -87.249 & - &0 \\
387 + Au(557)-D & 480 & 0 & -41799.714 & -87.084 & - & 0.165 \\
388 + \hline
389 + Au(557)-S & 480 & 40 & -42423.899 & -88.381 & -13.615 & 0 \\
390 + Au(557)-D & 480 & 44 & -42428.738 & -88.393 & -14.296 & -0.012 \\
391 + \hline
392 + \end{tabular}
393 + \label{tab:steps}
394 + \end{table}
395 +
396 +
397   \subsection{Pt(557) and Au(557) metal interfaces}
398   Our Pt system is an orthorhombic periodic box of dimensions
399   54.482~x~50.046~x~120.88~\AA~while our Au system has
# Line 371 | Line 408 | The different bulk melting temperatures predicted by E
408   1200~K were performed to confirm the relative
409   stability of the surfaces without a CO overlayer.  
410  
411 < The different bulk melting temperatures predicted by EAM (1345~$\pm$~10~K for Au\cite{Au:melting}
412 < and $\sim$~2045~K for Pt\cite{Pt:melting}) suggest that any possible reconstruction should happen at
413 < different temperatures for the two metals.  The bare Au and Pt surfaces were
414 < initially run in the canonical (NVT) ensemble at 800~K and 1000~K
415 < respectively for 100 ps. The two surfaces were relatively stable at these
416 < temperatures when no CO was present, but experienced increased surface
417 < mobility on addition of CO. Each surface was then dosed with different concentrations of CO
418 < that was initially placed in the vacuum region.  Upon full adsorption,
419 < these concentrations correspond to 0\%, 5\%, 25\%, 33\%, and 50\% surface
420 < coverage. Higher coverages resulted in the formation of a double layer of CO,
421 < which introduces artifacts that are not relevant to (557) reconstruction.
422 < Because of the difference in binding energies, nearly all of the CO was bound to the Pt surface, while
423 < the Au surfaces often had a significant CO population in the gas
424 < phase.  These systems were allowed to reach thermal equilibrium (over
425 < 5~ns) before being run in the microcanonical (NVE) ensemble for
426 < data collection. All of the systems examined had at least 40~ns in the
427 < data collection stage, although simulation times for some Pt of the
428 < systems exceeded 200~ns.  Simulations were carried out using the open
429 < source molecular dynamics package, OpenMD.\cite{Ewald,OOPSE,openmd}
411 > The different bulk melting temperatures predicted by EAM
412 > (1345~$\pm$~10~K for Au\cite{Au:melting} and $\sim$~2045~K for
413 > Pt\cite{Pt:melting}) suggest that any reconstructions should happen at
414 > different temperatures for the two metals.  The bare Au and Pt
415 > surfaces were initially run in the canonical (NVT) ensemble at 800~K
416 > and 1000~K respectively for 100 ps. The two surfaces were relatively
417 > stable at these temperatures when no CO was present, but experienced
418 > increased surface mobility on addition of CO. Each surface was then
419 > dosed with different concentrations of CO that was initially placed in
420 > the vacuum region.  Upon full adsorption, these concentrations
421 > correspond to 0\%, 5\%, 25\%, 33\%, and 50\% surface coverage. Higher
422 > coverages resulted in the formation of a double layer of CO, which
423 > introduces artifacts that are not relevant to (557) reconstruction.
424 > Because of the difference in binding energies, nearly all of the CO
425 > was bound to the Pt surface, while the Au surfaces often had a
426 > significant CO population in the gas phase.  These systems were
427 > allowed to reach thermal equilibrium (over 5~ns) before being run in
428 > the microcanonical (NVE) ensemble for data collection. All of the
429 > systems examined had at least 40~ns in the data collection stage,
430 > although simulation times for some Pt of the systems exceeded 200~ns.
431 > Simulations were carried out using the open source molecular dynamics
432 > package, OpenMD.\cite{Ewald,OOPSE,openmd}
433  
434  
395
396
435   % RESULTS
436   %
437   \section{Results}
438   \subsection{Structural remodeling}
439 < The bare metal surfaces experienced minor roughening of the
440 < step-edge because of the elevated temperatures, but the (557)
441 < face was stable throughout the simulations. The surface of both
442 < systems, upon dosage of CO, began to undergo extensive remodeling
443 < that was not observed in the bare systems. Reconstructions of
444 < the Au systems were limited to breakup of the step-edges and
445 < some step wandering. The lower coverage Pt systems experienced
446 < similar restructuring but to a greater extent. The 50\% coverage
447 < Pt system was unique among our simulations in that it formed
448 < well-defined and stable double layers through step coalescence,
449 < similar to results reported by Tao {\it et al}.\cite{Tao:2010}
412 <
413 <
414 < \subsubsection{Step wandering}
415 < The 0\% coverage surfaces for both metals showed minimal
416 < step-wandering at their respective temperatures. As the CO
417 < coverage increased however, the mobility of the surface atoms,
418 < described through adatom diffusion and step-edge wandering,
419 < also increased.  Except for the 50\% Pt system where step
420 < coalescence occurred, the step-edges in the other simulations
421 < preferred to keep nearly the same distance between steps as in
422 < the original (557) lattice, $\sim$13\AA~for Pt and $\sim$14\AA~for Au.
423 < Previous work by Williams {\it et al}.\cite{Williams:1991, Williams:1994}
424 < highlights the repulsion that exists between step-edges even
425 < when no direct interactions are present in the system. This
426 < repulsion is caused by an entropic barrier that arises from
427 < the fact that steps cannot cross over one another. This entropic
428 < repulsion does not completely define the interactions between
429 < steps, however, so it is possible to observe step coalescence
430 < on some surfaces.\cite{Williams:1991} The presence and
431 < concentration of adsorbates, as shown in this work, can
432 < affect step-step interactions, potentially leading to a new
433 < surface structure as the thermodynamic equilibrium.
439 > The bare metal surfaces experienced minor roughening of the step-edge
440 > because of the elevated temperatures, but the (557) face was stable
441 > throughout the simulations. The surfaces of both systems, upon dosage
442 > of CO, began to undergo extensive remodeling that was not observed in
443 > the bare systems. Reconstructions of the Au systems were limited to
444 > breakup of the step-edges and some step wandering. The lower coverage
445 > Pt systems experienced similar step edge wandering but to a greater
446 > extent. The 50\% coverage Pt system was unique among our simulations
447 > in that it formed well-defined and stable double layers through step
448 > coalescence, similar to results reported by Tao {\it et
449 >  al}.\cite{Tao:2010}
450  
451 + \subsubsection{Step wandering}
452 + The bare surfaces for both metals showed minimal step-wandering at
453 + their respective temperatures. As the CO coverage increased however,
454 + the mobility of the surface atoms, described through adatom diffusion
455 + and step-edge wandering, also increased.  Except for the 50\% Pt
456 + system where step coalescence occurred, the step-edges in the other
457 + simulations preferred to keep nearly the same distance between steps
458 + as in the original (557) lattice, $\sim$13\AA~for Pt and
459 + $\sim$14\AA~for Au.  Previous work by Williams {\it et
460 +  al}.\cite{Williams:1991, Williams:1994} highlights the repulsion
461 + that exists between step-edges even when no direct interactions are
462 + present in the system. This repulsion is caused by an entropic barrier
463 + that arises from the fact that steps cannot cross over one
464 + another. This entropic repulsion does not completely define the
465 + interactions between steps, however, so it is possible to observe step
466 + coalescence on some surfaces.\cite{Williams:1991} The presence and
467 + concentration of adsorbates, as shown in this work, can affect
468 + step-step interactions, potentially leading to a new surface structure
469 + as the thermodynamic equilibrium.
470 +
471   \subsubsection{Double layers}
472 < Tao {\it et al}.\cite{Tao:2010} have shown experimentally that the Pt(557) surface
473 < undergoes two separate reconstructions upon CO adsorption.
474 < The first involves a doubling of the step height and plateau length.
475 < Similar behavior has been seen on a number of surfaces
476 < at varying conditions, including Ni(977) and Si(111).\cite{Williams:1994,Williams:1991,Pearl}
477 < Of the two systems we examined, the Pt system showed a greater
478 < propensity for reconstruction  
479 < because of the larger surface mobility and the greater extent of step wandering.
480 < The amount of reconstruction was strongly correlated to the amount of CO
481 < adsorbed upon the surface.  This appears to be related to the
482 < effect that adsorbate coverage has on edge breakup and on the
483 < surface diffusion of metal adatoms. Only the 50\% Pt surface underwent the
484 < doubling seen by Tao {\it et al}.\cite{Tao:2010} within the time scales studied here.
485 < Over a longer time scale (150~ns) two more double layers formed
486 < on this surface. Although double layer formation did not occur
487 < in the other Pt systems, they exhibited more step-wandering and
488 < roughening compared to their Au counterparts. The
489 < 50\% Pt system is highlighted in Figure \ref{fig:reconstruct} at
490 < various times along the simulation showing the evolution of a double layer step-edge.
472 > Tao {\it et al}.\cite{Tao:2010} have shown experimentally that the
473 > Pt(557) surface undergoes two separate reconstructions upon CO
474 > adsorption.  The first involves a doubling of the step height and
475 > plateau length.  Similar behavior has been seen on a number of
476 > surfaces at varying conditions, including Ni(977) and
477 > Si(111).\cite{Williams:1994,Williams:1991,Pearl} Of the two systems we
478 > examined, the Pt system showed a greater propensity for reconstruction
479 > because of the larger surface mobility and the greater extent of step
480 > wandering.  The amount of reconstruction was strongly correlated to
481 > the amount of CO adsorbed upon the surface.  This appears to be
482 > related to the effect that adsorbate coverage has on edge breakup and
483 > on the surface diffusion of metal adatoms. Only the 50\% Pt surface
484 > underwent the doubling seen by Tao {\it et al}.\cite{Tao:2010} within
485 > the time scales studied here.  Over a longer time scale (150~ns) two
486 > more double layers formed on this surface. Although double layer
487 > formation did not occur in the other Pt systems, they exhibited more
488 > step-wandering and roughening compared to their Au counterparts. The
489 > 50\% Pt system is highlighted in Figure \ref{fig:reconstruct} at
490 > various times along the simulation showing the evolution of a double
491 > layer step-edge.
492  
493 < The second reconstruction observed by
494 < Tao {\it et al}.\cite{Tao:2010} involved the formation of triangular clusters that stretched
495 < across the plateau between two step-edges. Neither metal, within
496 < the 40~ns time scale or the extended simulation time of 150~ns for
497 < the 50\% Pt system, experienced this reconstruction.
493 > The second reconstruction observed by Tao {\it et al}.\cite{Tao:2010}
494 > involved the formation of triangular clusters that stretched across
495 > the plateau between two step-edges. Neither of the simulated metal
496 > interfaces, within the 40~ns time scale or the extended time of 150~ns
497 > for the 50\% Pt system, experienced this reconstruction.
498  
499   %Evolution of surface
500   \begin{figure}[H]
501   \includegraphics[width=\linewidth]{EPS_ProgressionOfDoubleLayerFormation}
502 < \caption{The Pt(557) / 50\% CO system at a sequence of times after
503 <  initial exposure to the CO: (a) 258~ps, (b) 19~ns, (c) 31.2~ns, and
504 <  (d) 86.1~ns. Disruption of the (557) step-edges occurs quickly.  The
502 > \caption{The Pt(557) / 50\% CO interface upon exposure to the CO: (a)
503 >  258~ps, (b) 19~ns, (c) 31.2~ns, and (d) 86.1~ns after
504 >  exposure. Disruption of the (557) step-edges occurs quickly.  The
505    doubling of the layers appears only after two adjacent step-edges
506    touch.  The circled spot in (b) nucleated the growth of the double
507    step observed in the later configurations.}
# Line 472 | Line 509 | Previous experimental work by Pearl and Sibener\cite{P
509   \end{figure}
510  
511   \subsection{Dynamics}
512 < Previous experimental work by Pearl and Sibener\cite{Pearl},
513 < using STM, has been able to capture the coalescence of steps
514 < on Ni(977). The time scale of the image acquisition, $\sim$70~s/image,
515 < provides an upper bound for the time required for the doubling
516 < to occur. By utilizing Molecular Dynamics we are able to probe
517 < the dynamics of these reconstructions at elevated temperatures
518 < and in this section we provide data on the timescales for transport
519 < properties, e.g. diffusion and layer formation time.
512 > Previous experimental work by Pearl and Sibener\cite{Pearl}, using
513 > STM, has been able to capture the coalescence of steps on Ni(977). The
514 > time scale of the image acquisition, $\sim$70~s/image, provides an
515 > upper bound for the time required for the doubling to occur. By
516 > utilizing Molecular Dynamics we are able to probe the dynamics of
517 > these reconstructions at elevated temperatures and in this section we
518 > provide data on the timescales for transport properties,
519 > e.g. diffusion and layer formation time.
520  
521  
522   \subsubsection{Transport of surface metal atoms}
523   %forcedSystems/stepSeparation
487 The wandering of a step-edge is a cooperative effect
488 arising from the individual movements of the atoms making up the steps. An ideal metal surface
489 displaying a low index facet, (111) or (100), is unlikely to experience
490 much surface diffusion because of the large energetic barrier that must
491 be overcome to lift an atom out of the surface. The presence of step-edges and other surface features
492 on higher-index facets provides a lower energy source for mobile metal atoms.
493 Single-atom break-away from a step-edge on a clean surface still imposes an
494 energetic penalty around $\sim$~45 kcal/mol, but this is easier than lifting
495 the same metal atom vertically out of the surface,  \textgreater~60 kcal/mol.
496 The penalty lowers significantly when CO is present in sufficient quantities
497 on the surface. For certain distributions of CO, see Discussion, the penalty can fall to as low as
498 $\sim$~20 kcal/mol. Once an adatom exists on the surface, the barrier for
499 diffusion is negligible (\textless~4 kcal/mol for a Pt adatom). These adatoms are then
500 able to explore the terrace before rejoining either their original step-edge or
501 becoming a part of a different edge. It is an energetically unfavorable process with a high barrier for an atom
502 to traverse to a separate terrace although the presence of CO can lower the
503 energy barrier required to lift or lower an adatom. By tracking the mobility of individual
504 metal atoms on the Pt and Au surfaces we were able to determine the relative
505 diffusion constants, as well as how varying coverages of CO affect the diffusion. Close
506 observation of the mobile metal atoms showed that they were typically in
507 equilibrium with the step-edges.
508 At times, their motion was concerted and two or more adatoms would be
509 observed moving together across the surfaces.
524  
525 < A particle was considered ``mobile'' once it had traveled more than 2~\AA~
526 < between saved configurations of the system (typically 10-100 ps). A mobile atom
527 < would typically travel much greater distances than this, but the 2~\AA~cutoff
528 < was used to prevent swamping the diffusion data with the in-place vibrational
529 < movement of buried atoms. Diffusion on a surface is strongly affected by
530 < local structures and in this work, the presence of single and double layer
531 < step-edges causes the diffusion parallel to the step-edges to be larger than
532 < the diffusion perpendicular to these edges. Parallel and perpendicular
533 < diffusion constants are shown in Figure \ref{fig:diff}.
525 > The wandering of a step-edge is a cooperative effect arising from the
526 > individual movements of the atoms making up the steps. An ideal metal
527 > surface displaying a low index facet, (111) or (100), is unlikely to
528 > experience much surface diffusion because of the large energetic
529 > barrier that must be overcome to lift an atom out of the surface. The
530 > presence of step-edges and other surface features on higher-index
531 > facets provides a lower energy source for mobile metal atoms.  Using
532 > our potential model, single-atom break-away from a step-edge on a
533 > clean surface still imposes an energetic penalty around
534 > $\sim$~45~kcal/mol, but this is certainly easier than lifting the same
535 > metal atom vertically out of the surface, \textgreater~60~kcal/mol.
536 > The penalty lowers significantly when CO is present in sufficient
537 > quantities on the surface. For certain distributions of CO, the
538 > energetic penalty can fall to as low as $\sim$~20~kcal/mol. The
539 > configurations that create these lower barriers are detailed in the
540 > discussion section below.
541  
542 + Once an adatom exists on the surface, the barrier for diffusion is
543 + negligible (\textless~4~kcal/mol for a Pt adatom). These adatoms are
544 + then able to explore the terrace before rejoining either their
545 + original step-edge or becoming a part of a different edge. It is an
546 + energetically unfavorable process with a high barrier for an atom to
547 + traverse to a separate terrace although the presence of CO can lower
548 + the energy barrier required to lift or lower an adatom. By tracking
549 + the mobility of individual metal atoms on the Pt and Au surfaces we
550 + were able to determine the relative diffusion constants, as well as
551 + how varying coverages of CO affect the diffusion. Close observation of
552 + the mobile metal atoms showed that they were typically in equilibrium
553 + with the step-edges.  At times, their motion was concerted, and two or
554 + more adatoms would be observed moving together across the surfaces.
555 +
556 + A particle was considered ``mobile'' once it had traveled more than
557 + 2~\AA~ between saved configurations of the system (typically 10-100
558 + ps). A mobile atom would typically travel much greater distances than
559 + this, but the 2~\AA~cutoff was used to prevent swamping the diffusion
560 + data with the in-place vibrational movement of buried atoms. Diffusion
561 + on a surface is strongly affected by local structures and the presence
562 + of single and double layer step-edges causes the diffusion parallel to
563 + the step-edges to be larger than the diffusion perpendicular to these
564 + edges. Parallel and perpendicular diffusion constants are shown in
565 + Figure \ref{fig:diff}.  Diffusion parallel to the step-edge is higher
566 + than diffusion perpendicular to the edge because of the lower energy
567 + barrier associated with sliding along an edge compared to breaking
568 + away to form an isolated adatom.
569 +
570   %Diffusion graph
571   \begin{figure}[H]
572   \includegraphics[width=\linewidth]{Portrait_DiffusionComparison_1}
573   \caption{Diffusion constants for mobile surface atoms along directions
574    parallel ($\mathbf{D}_{\parallel}$) and perpendicular
575    ($\mathbf{D}_{\perp}$) to the (557) step-edges as a function of CO
576 <  surface coverage.  Diffusion parallel to the step-edge is higher
577 <  than that perpendicular to the edge because of the lower energy
578 <  barrier associated with traversing along the edge as compared to
579 <  completely breaking away. The two reported diffusion constants for
531 <  the 50\% Pt system arise from different sample sets. The lower values
532 <  correspond to the same 40~ns amount that all of the other systems were
533 <  examined at, while the larger values correspond to a 20~ns period }
576 >  surface coverage.  The two reported diffusion constants for the 50\%
577 >  Pt system correspond to a 20~ns period before the formation of the
578 >  double layer (upper points), and to the full 40~ns sampling period
579 >  (lower points).}
580   \label{fig:diff}
581   \end{figure}
582  
# Line 542 | Line 588 | now been buried resulting in a smaller reported diffus
588   at the earliest times in the simulations. Following double layer formation,
589   however, there is a precipitous drop in adatom diffusion. As the double
590   layer forms, many atoms that had been tracked for mobility data have
591 < now been buried resulting in a smaller reported diffusion constant. A
591 > now been buried, resulting in a smaller reported diffusion constant. A
592   secondary effect of higher coverages is CO-CO cross interactions that
593   lower the effective mobility of the Pt adatoms that are bound to each CO.
594   This effect would become evident only at higher coverages. A detailed
595   account of Pt adatom energetics follows in the Discussion.
596  
551
597   \subsubsection{Dynamics of double layer formation}
598   The increased diffusion on Pt at the higher CO coverages is the primary
599   contributor to double layer formation. However, this is not a complete
# Line 608 | Line 653 | adsorption for example, this explanation would gain cr
653   possibility.  However, the quadrupole-quadrupole interaction is
654   short-ranged and is attractive for some orientations.  If the CO
655   molecules are ``locked'' in a vertical orientation, through atop
656 < adsorption for example, this explanation would gain credence. The
657 < calculated energetic repulsion between two CO molecules located a
658 < distance of 2.77~\AA~apart (nearest-neighbor distance of Pt) and both
659 < in a vertical orientation, is 8.62 kcal/mol. Moving the CO to the
660 < second nearest-neighbor distance of 4.8~\AA~drops the repulsion to
661 < nearly 0. Allowing the CO to rotate away from a purely vertical
662 < orientation also lowers the repulsion. When the carbons are locked at
663 < a distance of 2.77~\AA, a minimum of 6.2 kcal/mol is reached when the
664 < angle between the 2 CO is $\sim$24\textsuperscript{o}.  The calculated
656 > adsorption for example, this explanation would gain credence. Within
657 > the framework of our classical potential, the calculated energetic
658 > repulsion between two CO molecules located a distance of
659 > 2.77~\AA~apart (nearest-neighbor distance of Pt) and both in a
660 > vertical orientation, is 8.62 kcal/mol. Moving the CO to the second
661 > nearest-neighbor distance of 4.8~\AA~drops the repulsion to nearly
662 > 0. Allowing the CO to rotate away from a purely vertical orientation
663 > also lowers the repulsion. When the carbons are locked at a distance
664 > of 2.77~\AA, a minimum of 6.2 kcal/mol is reached when the angle
665 > between the 2 CO is $\sim$24\textsuperscript{o}.  The calculated
666   barrier for surface diffusion of a Pt adatom is only 4 kcal/mol, so
667 < repulsion between adjacent CO molecules bound to Pt could increase the
668 < surface diffusion. However, the residence time of CO on Pt suggests
669 < that the CO molecules are extremely mobile, with diffusion constants 40
670 < to 2500 times larger than surface Pt atoms. This mobility suggests
671 < that the CO molecules jump between different Pt atoms throughout the
672 < simulation, but can stay bound for significant periods of time.
667 > repulsion between adjacent CO molecules bound to Pt could indeed
668 > increase the surface diffusion. However, the residence time of CO on
669 > Pt suggests that the CO molecules are extremely mobile, with diffusion
670 > constants 40 to 2500 times larger than surface Pt atoms. This mobility
671 > suggests that the CO molecules jump between different Pt atoms
672 > throughout the simulation.  However, they do stay bound to individual
673 > Pt atoms for long enough to modify the local energy landscape for the
674 > mobile adatoms.
675  
676   A different interpretation of the above mechanism which takes the
677   large mobility of the CO into account, would be in the destabilization
# Line 640 | Line 688 | step-edge atoms. Step-edge breakup by continuous singl
688   populations. The roughening is present to a lesser extent on surfaces
689   with lower CO coverage (and even on the bare surfaces), although in
690   these cases it is likely due to random fluctuations that squeeze out
691 < step-edge atoms. Step-edge breakup by continuous single-atom
692 < translations (as suggested by these energy curves) is probably a
693 < worst-case scenario.  Multistep mechanisms in which an adatom moves
694 < laterally on the surface after being ejected would be more
695 < energetically favorable.  This would leave the adatom alongside the
696 < ledge, providing it with 5 nearest neighbors.  While fewer than the 7
697 < neighbors it had as part of the step-edge, it keeps more Pt neighbors
698 < than the 3 an isolated adatom would have on the terrace. In this
699 < proposed mechanism, the CO quadrupolar repulsion still plays a role in
700 < the initial roughening of the step-edge, but not in any long-term
701 < bonds with individual Pt atoms.  Higher CO coverages create more
691 > step-edge atoms. Step-edge breakup by direct single-atom translations
692 > (as suggested by these energy curves) is probably a worst-case
693 > scenario.  Multistep mechanisms in which an adatom moves laterally on
694 > the surface after being ejected would be more energetically favorable.
695 > This would leave the adatom alongside the ledge, providing it with
696 > five nearest neighbors.  While fewer than the seven neighbors it had
697 > as part of the step-edge, it keeps more Pt neighbors than the three
698 > neighbors an isolated adatom has on the terrace. In this proposed
699 > mechanism, the CO quadrupolar repulsion still plays a role in the
700 > initial roughening of the step-edge, but not in any long-term bonds
701 > with individual Pt atoms.  Higher CO coverages create more
702   opportunities for the crowded CO configurations shown in Figure
703   \ref{fig:SketchGraphic}, and this is likely to cause an increased
704   propensity for step-edge breakup.
# Line 659 | Line 707 | propensity for step-edge breakup.
707   \begin{figure}[H]
708   \includegraphics[width=\linewidth]{COpaths}
709   \caption{Configurations used to investigate the mechanism of step-edge
710 <  breakup on Pt(557). In each case, the central (starred) atom is
710 >  breakup on Pt(557). In each case, the central (starred) atom was
711    pulled directly across the surface away from the step edge.  The Pt
712    atoms on the upper terrace are colored dark grey, while those on the
713    lower terrace are in white.  In each of these configurations, some
714 <  number of the atoms (highlighted in blue) had a CO molecule bound in
715 <  a vertical atop position.  The energies of these configurations as a
714 >  of the atoms (highlighted in blue) had CO molecules bound in the
715 >  vertical atop position.  The energies of these configurations as a
716    function of central atom displacement are displayed in Figure
717    \ref{fig:SketchEnergies}.}
718   \label{fig:SketchGraphic}
# Line 676 | Line 724 | propensity for step-edge breakup.
724   \caption{Energies for displacing a single edge atom perpendicular to
725    the step edge as a function of atomic displacement. Each of the
726    energy curves corresponds to one of the labeled configurations in
727 <  Figure \ref{fig:SketchGraphic}, and are referenced to the
728 <  unperturbed step-edge.  Certain arrangements of bound CO (notably
729 <  configurations g and h) can lower the energetic barrier for creating
730 <  an adatom relative to the bare surface (configuration a).}
727 >  Figure \ref{fig:SketchGraphic}, and the energies are referenced to
728 >  the unperturbed step-edge.  Certain arrangements of bound CO
729 >  (notably configurations g and h) can lower the energetic barrier for
730 >  creating an adatom relative to the bare surface (configuration a).}
731   \label{fig:SketchEnergies}
732   \end{figure}
733  
# Line 694 | Line 742 | original edge atom onto the higher terrace. A number o
742   displacement of Pt atoms at the step edge. Figure \ref{fig:lambda}
743   shows four points along a reaction coordinate in which a CO-bound
744   adatom along the step-edge ``burrows'' into the edge and displaces the
745 < original edge atom onto the higher terrace. A number of events similar
746 < to this mechanism were observed during the simulations.  We predict an
747 < energetic barrier of 20~kcal/mol for this process (in which the
748 < displaced edge atom follows a curvilinear path into an adjacent 3-fold
749 < hollow site).  The barrier heights we obtain for this reaction
745 > original edge atom onto the higher terrace.  A number of events
746 > similar to this mechanism were observed during the simulations.  We
747 > predict an energetic barrier of 20~kcal/mol for this process (in which
748 > the displaced edge atom follows a curvilinear path into an adjacent
749 > 3-fold hollow site).  The barrier heights we obtain for this reaction
750   coordinate are approximate because the exact path is unknown, but the
751   calculated energy barriers would be easily accessible at operating
752   conditions.  Additionally, this mechanism is exothermic, with a final
753   energy 15~kcal/mol below the original $\lambda = 0$ configuration.
754   When CO is not present and this reaction coordinate is followed, the
755 < process is endothermic by 3~kcal/mol.  The difference in the relative
755 > process is endothermic by 3~kcal/mol.  The difference in the relative
756   energies for the $\lambda=0$ and $\lambda=1$ case when CO is present
757   provides strong support for CO-mediated Pt-Pt interactions giving rise
758 < to the doubling reconstruction.
758 > to the doubling reconstruction.
759  
760   %lambda progression of Pt -> shoving its way into the step
761   \begin{figure}[H]
# Line 717 | Line 765 | to the doubling reconstruction.
765    step edge and displaces an edge atom onto the upper terrace along a
766    curvilinear path.  The approximate barrier for the process is
767    20~kcal/mol, and the complete process is exothermic by 15~kcal/mol
768 <  in the presence of CO, but is endothermic by 3~kcal/mol without.}
768 >  in the presence of CO, but is endothermic by 3~kcal/mol without CO.}
769   \label{fig:lambda}
770   \end{figure}
771  
# Line 725 | Line 773 | by travelling to the terraces above of below their ori
773   the cooperation of at least two distinct processes. For complete
774   doubling of a layer to occur there must be a breakup of one
775   terrace. These atoms must then ``disappear'' from that terrace, either
776 < by travelling to the terraces above of below their original levels.
776 > by travelling to the terraces above or below their original levels.
777   The presence of CO helps explain mechanisms for both of these
778   situations. There must be sufficient breakage of the step-edge to
779   increase the concentration of adatoms on the surface and these adatoms
# Line 734 | Line 782 | Once a double layer had formed on the 50\%~Pt system,
782   mechanisms working in concert lead to the formation of a double layer.
783  
784   \subsection{CO Removal and double layer stability}
785 < Once a double layer had formed on the 50\%~Pt system, it remained for
786 < the rest of the simulation time with minimal movement.  Random
787 < fluctuations that involved small clusters or divots were observed, but
788 < these features typically healed within a few nanoseconds.  Within our
789 < simulations, the formation of the double layer appeared to be
790 < irreversible and a double layer was never observed to split back into
791 < two single layer step-edges while CO was present.
785 > Once the double layers had formed on the 50\%~Pt system, they remained
786 > stable for the rest of the simulation time with minimal movement.
787 > Random fluctuations that involved small clusters or divots were
788 > observed, but these features typically healed within a few
789 > nanoseconds.  Within our simulations, the formation of the double
790 > layer appeared to be irreversible and a double layer was never
791 > observed to split back into two single layer step-edges while CO was
792 > present.
793  
794   To further gauge the effect CO has on this surface, additional
795   simulations were run starting from a late configuration of the 50\%~Pt
796   system that had already formed double layers. These simulations then
797 < had their CO forcibly removed.  The double layer broke apart rapidly
798 < in these simulations, showing a well-defined edge-splitting after
799 < 100~ps. Configurations of this system are shown in Figure
797 > had their CO molecules suddenly removed.  The double layer broke apart
798 > rapidly in these simulations, showing a well-defined edge-splitting
799 > after 100~ps. Configurations of this system are shown in Figure
800   \ref{fig:breaking}. The coloring of the top and bottom layers helps to
801 < exhibit how much mixing the edges experience as they split. These
802 < systems were only examined for 10~ns, and within that time despite the
803 < initial rapid splitting, the edges only moved another few
804 < \AA~apart. It is possible that with longer simulation times, the (557)
805 < surface recovery observed by Tao {\it et al}.\cite{Tao:2010} could
757 < also be recovered.
801 > show how much mixing the edges experience as they split. These systems
802 > were only examined for 10~ns, and within that time despite the initial
803 > rapid splitting, the edges only moved another few \AA~apart. It is
804 > possible that with longer simulation times, the (557) surface recovery
805 > observed by Tao {\it et al}.\cite{Tao:2010} could also be recovered.
806  
807   %breaking of the double layer upon removal of CO
808   \begin{figure}[H]
809   \includegraphics[width=\linewidth]{EPS_doubleLayerBreaking}
810 < \caption{Dynamics of an established (111) double step after removal of
811 <  the adsorbed CO: (A) 0~ps, (B) 100~ps, and (C) 1~ns after the removal
812 <  of CO. The presence of the CO helped maintain the stability of the
813 <  double step.  Nearly immediately after the CO is removed, the step
814 <  edge reforms in a (100) configuration, which is also the step type
767 <  seen on clean (557) surfaces. The step separation involves
810 > \caption{Behavior of an established (111) double step after removal of
811 >  the adsorbed CO: (A) 0~ps, (B) 100~ps, and (C) 1~ns after the
812 >  removal of CO.  Nearly immediately after the CO is removed, the
813 >  step edge reforms in a (100) configuration, which is also the step
814 >  type seen on clean (557) surfaces. The step separation involves
815    significant mixing of the lower and upper atoms at the edge.}
816   \label{fig:breaking}
817   \end{figure}
# Line 835 | Line 882 | which are both necessary for double layer formation.
882    Computing (CRC) at the University of Notre Dame.
883   \end{acknowledgement}
884   \newpage
885 < \bibliography{firstTryBibliography}
885 > \bibstyle{achemso}
886 > \bibliography{COonPtAu}
887   %\end{doublespace}
888  
889   \begin{tocentry}
890 < %\includegraphics[height=3.5cm]{timelapse}
890 > \begin{wrapfigure}{l}{0.5\textwidth}
891 > \begin{center}
892 > \includegraphics[width=\linewidth]{TOC_doubleLayer}
893 > \end{center}
894 > \end{wrapfigure}
895 > A reconstructed Pt(557) surface after 86~ns exposure to a half a
896 > monolayer of CO.  The double layer that forms is a result of
897 > CO-mediated step-edge wandering as well as a burrowing mechanism that
898 > helps lift edge atoms onto an upper terrace.
899   \end{tocentry}
900  
901   \end{document}

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