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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 > \usepackage{epstopdf}
24 >
25 > \usepackage[version=3]{mhchem}  % this is a great package for formatting chemical reactions
26 > % \usepackage[square, comma, sort&compress]{natbib}
27   \usepackage{url}
28   \pagestyle{plain} \pagenumbering{arabic} \oddsidemargin 0.0cm
29   \evensidemargin 0.0cm \topmargin -21pt \headsep 10pt \textheight
30 < 9.0in \textwidth 6.5in \brokenpenalty=10000
30 > 9.0in \textwidth 6.5in \brokenpenalty=1110000
31  
32   % double space list of tables and figures
33   %\AtBeginDelayedFloats{\renewcomand{\baselinestretch}{1.66}}
34   \setlength{\abovecaptionskip}{20 pt}
35   \setlength{\belowcaptionskip}{30 pt}
36 + % \bibpunct{}{}{,}{s}{}{;}
37  
38 < \bibpunct{}{}{,}{s}{}{;}
39 < \bibliographystyle{achemso}
38 > %\citestyle{nature}
39 > % \bibliographystyle{achemso}
40  
41 < \begin{document}
41 > \title{Molecular Dynamics simulations of the surface reconstructions
42 >  of Pt(557) and Au(557) under exposure to CO}
43  
44 + \author{Joseph R. Michalka}
45 + \author{Patrick W. McIntyre}
46 + \author{J. Daniel Gezelter}
47 + \email{gezelter@nd.edu}
48 + \affiliation[University of Notre Dame]{251 Nieuwland Science Hall\\
49 +  Department of Chemistry and Biochemistry\\ University of Notre
50 +  Dame\\ Notre Dame, Indiana 46556}
51  
52 + \keywords{}
53 +
54 + \begin{document}
55 +
56 +
57   %%
58   %Introduction
59   %       Experimental observations
# Line 47 | Line 72
72   %Summary
73   %%
74  
50 %Title
51 \title{Molecular Dynamics simulations of the surface reconstructions
52  of Pt(557) and Au(557) under exposure to CO}
75  
76 < \author{Joseph R. Michalka, Patrick W. McIntyre and J. Daniel
77 < Gezelter\footnote{Corresponding author. \ Electronic mail: gezelter@nd.edu} \\
78 < Department of Chemistry and Biochemistry,\\
79 < University of Notre Dame\\
80 < Notre Dame, Indiana 46556}
76 > \begin{abstract}
77 > We examine surface reconstructions of Pt and Au(557) under
78 > various CO coverages using molecular dynamics in order to
79 > explore possible mechanisms for any observed reconstructions
80 > and their dynamics. The metal-CO interactions were parameterized
81 > as part of this work so that an efficient large-scale treatment of
82 > this system could be undertaken. The large difference in binding
83 > strengths of the metal-CO interactions was found to play a significant
84 > role with regards to step-edge stability and adatom diffusion. A
85 > small correlation between coverage and the diffusion constant
86 > was also determined. The energetics of CO adsorbed to the surface
87 > is sufficient to explain the reconstructions observed on the Pt
88 > systems and the lack  of reconstruction of the Au systems.
89  
60 %Date
61 \date{Mar 4, 2013}
90  
91 < %authors
92 <
93 < % make the title
94 < \maketitle
95 <
96 < \begin{doublespace}
97 <
98 < \begin{abstract}
99 < We examine potential surface reconstructions of Pt and Au(557)
100 < 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 relative binding strengths of the metal-CO
77 < interactions were found to play a large role with regards to
78 < step-edge stability and adatom diffusion. A small correlation
79 < between coverage and the size 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.
91 > The mechanism and dynamics of surface reconstructions of Pt(557)
92 > and Au(557) exposed to various coverages of carbon monoxide (CO)
93 > were investigated using molecular dynamics simulations. Metal-CO
94 > interactions were parameterized from experimental data and plane-wave
95 > Density Functional Theory (DFT) calculations.  The large difference in
96 > binding strengths of the Pt-CO and Au-CO interactions was found to play
97 > a significant role in step-edge stability and adatom diffusion constants.
98 > The energetics of CO adsorbed to the surface is sufficient to explain the
99 > step-doubling reconstruction observed on Pt(557) and the lack of such
100 > a reconstruction on the Au(557) surface.
101   \end{abstract}
102  
103   \newpage
# Line 112 | Line 129 | This work is an attempt to understand the mechanism an
129   reversible restructuring under exposure to moderate pressures of
130   carbon monoxide.\cite{Tao:2010}
131  
132 < This work is an attempt to understand the mechanism and timescale for
132 > This work is an investigation into the mechanism and timescale for the Pt(557) \& Au(557)
133   surface restructuring using molecular simulations.  Since the dynamics
134   of the process are of particular interest, we employ classical force
135   fields that represent a compromise between chemical accuracy and the
136   computational efficiency necessary to simulate the process of interest.
137 < Restructuring can occur as a result of specific interactions of the
138 < catalyst with adsorbates. In this work, two metal systems exposed
137 > Since restructuring typically occurs as a result of specific interactions of the
138 > catalyst with adsorbates, in this work, two metal systems exposed
139   to carbon monoxide were examined. The Pt(557) surface has already been shown
140 < to reconstruct under certain conditions. The Au(557) surface, because
141 < of a weaker interaction with CO, is less likely to undergo this kind
142 < of reconstruction.  MORE HERE ON PT AND AU PREVIOUS WORK.
140 > to undergo a large scale reconstruction under certain conditions.\cite{Tao:2010}
141 > The Au(557) surface, because of a weaker interaction with CO, is less
142 > likely to undergo this kind of reconstruction. However, Peters {\it et al}.\cite{Peters:2000}
143 > and Piccolo {\it et al}.\cite{Piccolo:2004} have both observed CO-induced
144 > reconstruction of a Au(111) surface. Peters {\it et al}. saw a relaxation to the
145 > 22 x $\sqrt{3}$ cell. They argued that only a few Au atoms
146 > become adatoms, limiting the stress of this reconstruction, while
147 > allowing the rest to relax and approach the ideal (111)
148 > configuration. They did not see the usual herringbone pattern on Au(111) being greatly
149 > affected by this relaxation. Piccolo {\it et al}. on the other hand, did see a
150 > disruption of the herringbone pattern as CO was adsorbed to the
151 > surface. Both groups suggested that the preference CO shows for
152 > low-coordinated Au atoms was the primary driving force for the reconstruction.
153  
154 +
155 +
156   %Platinum molecular dynamics
157   %gold molecular dynamics
158  
159   \section{Simulation Methods}
160 < The challenge in modeling any solid/gas interface problem is the
160 > The challenge in modeling any solid/gas interface is the
161   development of a sufficiently general yet computationally tractable
162   model of the chemical interactions between the surface atoms and
163   adsorbates.  Since the interfaces involved are quite large (10$^3$ -
164 < 10$^6$ atoms) and respond slowly to perturbations, {\it ab initio}
164 > 10$^4$ atoms) and respond slowly to perturbations, {\it ab initio}
165   molecular dynamics
166   (AIMD),\cite{KRESSE:1993ve,KRESSE:1993qf,KRESSE:1994ul} Car-Parrinello
167   methods,\cite{CAR:1985bh,Izvekov:2000fv,Guidelli:2000fy} and quantum
# Line 144 | Line 173 | Au-Au and Pt-Pt interactions\cite{EAM}, while modeling
173   Coulomb potential.  For this work, we have used classical molecular
174   dynamics with potential energy surfaces that are specifically tuned
175   for transition metals.  In particular, we used the EAM potential for
176 < Au-Au and Pt-Pt interactions\cite{EAM}, while modeling the CO using a rigid
176 > Au-Au and Pt-Pt interactions.\cite{Foiles86} The CO was modeled using a rigid
177   three-site model developed by Straub and Karplus for studying
178   photodissociation of CO from myoglobin.\cite{Straub} The Au-CO and
179   Pt-CO cross interactions were parameterized as part of this work.
# Line 157 | Line 186 | parameter sets. The glue model of Ercolessi et al. is
186   methods,\cite{Daw84,Foiles86,Johnson89,Daw89,Plimpton93,Voter95a,Lu97,Alemany98}
187   but other models like the Finnis-Sinclair\cite{Finnis84,Chen90} and
188   the quantum-corrected Sutton-Chen method\cite{QSC,Qi99} have simpler
189 < parameter sets. The glue model of Ercolessi et al. is among the
190 < fastest of these density functional approaches.\cite{Ercolessi88} In
191 < all of these models, atoms are conceptualized as a positively charged
189 > parameter sets. The glue model of Ercolessi {\it et al}.\cite{Ercolessi88} is among the
190 > fastest of these density functional approaches. In
191 > all of these models, atoms are treated as a positively charged
192   core with a radially-decaying valence electron distribution. To
193   calculate the energy for embedding the core at a particular location,
194   the electron density due to the valence electrons at all of the other
# Line 194 | Line 223 | dynamics.\cite{Shibata:2002hh} All of these potentials
223   melting,\cite{Belonoshko00,sankaranarayanan:155441,Sankaranarayanan:2005lr}
224   fracture,\cite{Shastry:1996qg,Shastry:1998dx} crack
225   propagation,\cite{BECQUART:1993rg} and alloying
226 < dynamics.\cite{Shibata:2002hh} All of these potentials have their
227 < strengths and weaknesses.  One of the strengths common to all of the
228 < methods is the relatively large library of metals for which these
229 < potentials have been
230 < parameterized.\cite{Foiles86,PhysRevB.37.3924,Rifkin1992,mishin99:_inter,mishin01:cu,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}  
226 > dynamics.\cite{Shibata:2002hh} One of EAM's strengths
227 > is its sensitivity to small changes in structure. This arises
228 > because interactions
229 > up to the third nearest neighbor were taken into account in the parameterization.\cite{Voter95a}
230 > Comparing that to the glue model of Ercolessi {\it et al}.\cite{Ercolessi88}
231 > which is only parameterized up to the nearest-neighbor
232 > interactions, EAM is a suitable choice for systems where
233 > the bulk properties are of secondary importance to low-index
234 > surface structures. Additionally, the similarity of EAM's functional
235 > treatment of the embedding energy to standard density functional
236 > theory (DFT) makes fitting DFT-derived cross potentials with adsorbates somewhat easier.
237 > \cite{Foiles86,PhysRevB.37.3924,Rifkin1992,mishin99:_inter,mishin01:cu,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}  
238  
239 +
240 +
241 +
242   \subsection{Carbon Monoxide model}
243   Previous explanations for the surface rearrangements center on
244 < the large linear quadrupole moment of carbon monoxide.  
244 > the large linear quadrupole moment of carbon monoxide.\cite{Tao:2010}  
245   We used a model first proposed by Karplus and Straub to study
246   the photodissociation of CO from myoglobin because it reproduces
247   the quadrupole moment well.\cite{Straub} The Straub and
248 < Karplus model, treats CO as a rigid three site molecule which places a massless M
249 < site at the center of mass position along the CO bond.  The geometry used along
250 < with the interaction parameters are reproduced in Table~\ref{tab:CO}. The effective
248 > Karplus model treats CO as a rigid three site molecule with a massless M
249 > site at the molecular center of mass. The geometry and interaction
250 > parameters are reproduced in Table~\ref{tab:CO}. The effective
251   dipole moment, calculated from the assigned charges, is still
252   small (0.35 D) while the linear quadrupole (-2.40 D~\AA) is close
253   to the experimental (-2.63 D~\AA)\cite{QuadrupoleCO} and quantum
# Line 217 | Line 256 | mechanical predictions (-2.46 D~\AA)\cite{QuadrupoleCO
256   \begin{table}[H]
257    \caption{Positions, Lennard-Jones parameters ($\sigma$ and
258      $\epsilon$), and charges for the CO-CO
259 <    interactions borrowed from Ref.\bibpunct{}{}{,}{n}{}{,} \protect\cite{Straub}. Distances are in \AA, energies are
259 >    interactions in Ref.\bibpunct{}{}{,}{n}{}{,} \protect\cite{Straub}. Distances are in \AA, energies are
260      in kcal/mol, and charges are in atomic units.}
261   \centering
262   \begin{tabular}{| c | c | ccc |}
263   \hline
264   &  {\it z} & $\sigma$ & $\epsilon$ & q\\
265   \hline
266 < \textbf{C} & -0.6457 &  0.0262  & 3.83   &   -0.75 \\
267 < \textbf{O} &  0.4843 &   0.1591 &   3.12 &   -0.85 \\
266 > \textbf{C} & -0.6457 &  3.83 & 0.0262   &   -0.75 \\
267 > \textbf{O} &  0.4843 &  3.12 &  0.1591  &   -0.85 \\
268   \textbf{M} & 0.0 & -  &  -  &    1.6 \\
269   \hline
270   \end{tabular}
# Line 239 | Line 278 | clean metal surfaces. Parameters reported by Korzeniew
278   and theoretical work
279   \cite{Beurden:2002ys,Pons:1986,Deshlahra:2009,Feibelman:2001,Mason:2004}
280   there is a significant amount of data on adsorption energies for CO on
281 < clean metal surfaces. Parameters reported by Korzeniewski {\it et
282 <  al.}\cite{Pons:1986} were a starting point for our fits, which were
281 > clean metal surfaces. An earlier model by Korzeniewski {\it et
282 >  al.}\cite{Pons:1986} served as a starting point for our fits. The parameters were
283   modified to ensure that the Pt-CO interaction favored the atop binding
284 < position on Pt(111). These parameters are reproduced in Table~\ref{tab:co_parameters}
285 < This resulted in binding energies that are slightly higher
284 > position on Pt(111). These parameters are reproduced in Table~\ref{tab:co_parameters}.
285 > The modified parameters yield binding energies that are slightly higher
286   than the experimentally-reported values as shown in Table~\ref{tab:co_energies}. Following Korzeniewski
287 < et al.,\cite{Pons:1986} the Pt-C interaction was fit to a deep
288 < Lennard-Jones interaction to mimic strong, but short-ranged partial
287 > {\it et al}.,\cite{Pons:1986} the Pt-C interaction was fit to a deep
288 > Lennard-Jones interaction to mimic strong, but short-ranged, partial
289   binding between the Pt $d$ orbitals and the $\pi^*$ orbital on CO. The
290 < Pt-O interaction was parameterized to a Morse potential at a larger
291 < minimum distance, ($r_o$).  This was chosen so that the C would be preferred
292 < over O as the binder to the surface. In most cases, this parameterization contributes a weak
290 > Pt-O interaction was modeled with a Morse potential with a large
291 > equilibrium distance, ($r_o$).  These choices ensure that the C is preferred
292 > over O as the surface-binding atom. In most geometries, the Pt-O parameterization contributes a weak
293   repulsion which favors the atop site.  The resulting potential-energy
294   surface suitably recovers the calculated Pt-C separation length
295   (1.6~\AA)\cite{Beurden:2002ys} and affinity for the atop binding
# Line 261 | Line 300 | The limited experimental data for CO adsorption on Au
300   %same cutoff for slab and slab + CO ? seems low, although feibelmen had values around there...
301   The Au-C and Au-O cross-interactions were also fit using Lennard-Jones and
302   Morse potentials, respectively, to reproduce Au-CO binding energies.
303 < The limited experimental data for CO adsorption on Au lead us to refine our fits against DFT.
303 > The limited experimental data for CO adsorption on Au required refining the fits against plane-wave DFT calculations.
304   Adsorption energies were obtained from gas-surface DFT calculations with a
305   periodic supercell plane-wave basis approach, as implemented in the
306 < {\sc Quantum ESPRESSO} package.\cite{QE-2009} Electron cores are
306 > {\sc Quantum ESPRESSO} package.\cite{QE-2009} Electron cores were
307   described with the projector augmented-wave (PAW)
308   method,\cite{PhysRevB.50.17953,PhysRevB.59.1758} with plane waves
309   included to an energy cutoff of 20 Ry. Electronic energies are
# Line 278 | Line 317 | zone.\cite{Monkhorst:1976,PhysRevB.13.5188} The relaxe
317   performed until the energy difference between subsequent steps
318   was less than $10^{-8}$ Ry.   Nonspin-polarized supercell calculations
319   were performed with a 4~x~4~x~4 Monkhorst-Pack {\bf k}-point sampling of the first Brillouin
320 < zone.\cite{Monkhorst:1976,PhysRevB.13.5188} The relaxed gold slab was
320 > zone.\cite{Monkhorst:1976} The relaxed gold slab was
321   then used in numerous single point calculations with CO at various
322   heights (and angles relative to the surface) to allow fitting of the
323   empirical force field.
324  
325   %Hint at future work
326   The parameters employed for the metal-CO cross-interactions in this work
327 < are shown in Table~\ref{co_parameters} and the binding energies on the
328 < (111) surfaces are displayed in Table~\ref{co_energies}.  Charge transfer
329 < and polarization are neglected in this model, although these effects are likely to
330 < affect binding energies and binding site preferences, and will be added in
292 < a future work.\cite{Deshlahra:2012,StreitzMintmire:1994}
327 > are shown in Table~\ref{tab:co_parameters} and the binding energies on the
328 > (111) surfaces are displayed in Table~\ref{tab:co_energies}.  Charge transfer
329 > and polarization are neglected in this model, although these effects could have
330 > an effect on  binding energies and binding site preferences.
331  
332   %Table  of Parameters
333   %Pt Parameter Set 9
334   %Au Parameter Set 35
335   \begin{table}[H]
336    \caption{Best fit parameters for metal-CO cross-interactions. Metal-C
337 <    interactions are modeled with Lennard-Jones potential, while the
337 >    interactions are modeled with Lennard-Jones potentials. While the
338      metal-O interactions were fit to Morse
339      potentials.  Distances are given in \AA~and energies in kcal/mol. }
340   \centering
# Line 314 | Line 352 | a future work.\cite{Deshlahra:2012,StreitzMintmire:199
352  
353   %Table of energies
354   \begin{table}[H]
355 <  \caption{Adsorption energies for CO on M(111) at the atop site using the potentials
355 >  \caption{Adsorption energies for a single CO at the atop site on M(111) at the atop site using the potentials
356      described in this work.  All values are in eV.}
357   \centering
358   \begin{tabular}{| c | cc |}
# Line 324 | Line 362 | a future work.\cite{Deshlahra:2012,StreitzMintmire:199
362    \multirow{2}{*}{\textbf{Pt-CO}} & \multirow{2}{*}{-1.9} & -1.4 \bibpunct{}{}{,}{n}{}{,}
363    (Ref. \protect\cite{Kelemen:1979}) \\
364   & &  -1.9 \bibpunct{}{}{,}{n}{}{,} (Ref. \protect\cite{Yeo}) \\ \hline
365 <  \textbf{Au-CO} & -0.39 & -0.40 \bibpunct{}{}{,}{n}{}{,}  (Ref. \protect\cite{TPD_Gold}) \\
365 >  \textbf{Au-CO} & -0.39 & -0.40 \bibpunct{}{}{,}{n}{}{,}  (Ref. \protect\cite{TPDGold}) \\
366    \hline
367   \end{tabular}
368   \label{tab:co_energies}
369   \end{table}
370  
371   \subsection{Pt(557) and Au(557) metal interfaces}
372 <
373 < Our model systems are composed of 3888 Pt atoms and 3384 Au atoms in a
374 < FCC crystal that have been cut along the (557) plane so that they are
375 < periodic in the {\it x} and {\it y} directions, and have been oriented
376 < to expose two aligned (557) cuts along the extended {\it
377 <  z}-axis.  Simulations of the bare metal interfaces at temperatures
378 < ranging from 300~K to 1200~K were performed to observe the relative
372 > Our Pt system is an orthorhombic periodic box of dimensions
373 > 54.482~x~50.046~x~120.88~\AA~while our Au system has
374 > dimensions of 57.4~x~51.9285~x~100~\AA. The metal slabs
375 > are 9 and 8 atoms deep respectively, corresponding to a slab
376 > thickness of $\sim$21~\AA~ for Pt and $\sim$19~\AA~for Au.
377 > The systems are arranged in a FCC crystal that have been cut
378 > along the (557) plane so that they are periodic in the {\it x} and
379 > {\it y} directions, and have been oriented to expose two aligned
380 > (557) cuts along the extended {\it z}-axis.  Simulations of the
381 > bare metal interfaces at temperatures ranging from 300~K to
382 > 1200~K were performed to confirm the relative
383   stability of the surfaces without a CO overlayer.  
384  
385 < The different bulk (and surface) melting temperatures (1337~K for Au
386 < and 2045~K for Pt) suggest that any possible reconstruction may happen at
385 > The different bulk melting temperatures predicted by EAM (1345~$\pm$~10~K for Au\cite{Au:melting}
386 > and $\sim$~2045~K for Pt\cite{Pt:melting}) suggest that any possible reconstruction should happen at
387   different temperatures for the two metals.  The bare Au and Pt surfaces were
388   initially run in the canonical (NVT) ensemble at 800~K and 1000~K
389 < respectively for 100 ps. These temperatures were chosen because the
390 < surfaces were relatively stable at these temperatures when no CO was
391 < present, but experienced additional instability upon addition of CO in the time
350 < frames we were examining. Each surface was exposed to a range of CO
389 > respectively for 100 ps. The two surfaces were relatively stable at these
390 > temperatures when no CO was present, but experienced increased surface
391 > mobility on addition of CO. Each surface was then dosed with different concentrations of CO
392   that was initially placed in the vacuum region.  Upon full adsorption,
393 < these amounts correspond to 0\%, 5\%, 25\%, 33\%, and 50\% surface
394 < coverage. Higher coverages were tried, but the CO-CO repulsion was preventing
395 < a higher amount of adsorption.  Because of the difference in binding energies, the Pt
396 < systems very rarely had CO that was not bound to the surface, while
393 > these concentrations correspond to 0\%, 5\%, 25\%, 33\%, and 50\% surface
394 > coverage. Higher coverages resulted in the formation of a double layer of CO,
395 > which introduces artifacts that are not relevant to (557) reconstruction.
396 > Because of the difference in binding energies, nearly all of the CO was bound to the Pt surface, while
397   the Au surfaces often had a significant CO population in the gas
398   phase.  These systems were allowed to reach thermal equilibrium (over
399 < 5 ns) before being run in the microcanonical (NVE) ensemble for
400 < data collection. All of the systems examined had at least 40 ns in the
401 < data collection stage, although simulation times for some of the
402 < systems exceeded 200ns.  All simulations were run using the open
399 > 5~ns) before being run in the microcanonical (NVE) ensemble for
400 > data collection. All of the systems examined had at least 40~ns in the
401 > data collection stage, although simulation times for some Pt of the
402 > systems exceeded 200~ns.  Simulations were carried out using the open
403   source molecular dynamics package, OpenMD.\cite{Ewald,OOPSE}
404  
364 % Just results, leave discussion for discussion section
365 % structure
366 %       Pt: step wandering, double layers, no triangular motifs
367 %       Au: step wandering, no double layers
368 % dynamics
369 %       diffusion
370 %       time scale, formation, breakage
371 \section{Results}
372 \subsection{Structural remodeling}
373 Tao et al. showed experimentally that the Pt(557) surface
374 undergoes two separate reconstructions upon CO
375 adsorption.\cite{Tao:2010} The first involves a doubling of
376 the step height and plateau length. Similar behavior has been
377 seen to occur on numerous surfaces at varying conditions (Ni 977, Si 111, etc).
378 \cite{Williams:1994,Williams:1991,Pearl} Of the two systems
379 we examined, the Pt system showed a larger amount of
380 reconstruction when compared to the Au system. The amount
381 of reconstruction appears to be correlated to the amount of CO
382 adsorbed upon the surface.  We believe this is related to the
383 effect that adsorbate coverage has on edge breakup and surface
384 diffusion of adatoms. While both systems displayed step-edge
385 wandering, only the Pt surface underwent the doubling seen by
386 Tao et al., within the time scales we were modeling. Specifically,
387 only the 50~\% coverage Pt system was observed to have a
388 step-edge undergo a complete doubling in the time scales we
389 were able to monitor. This event encouraged us to allow that
390 specific system to run for much longer periods during which two
391 more double layers were created. The other systems, not displaying
392 any large scale changes of interest, were all stopped after running
393 for 40 ns in the microcanonical ensemble. Despite no observation
394 of double layer formation, the other Pt systems tended to show
395 more cumulative lateral movement of the step-edges when
396 compared to the Au systems. The 50\% Pt system is highlighted
397 in Figure \ref{fig:reconstruct} at various times along the simulation
398 showing the evolution of the system.
405  
400 The second reconstruction on the Pt(557) surface observed by
401 Tao involved the formation of triangular clusters that stretched
402 across the plateau between two step-edges. Neither system, within
403 our simulated time scales, experiences this reconstruction. A constructed
404 system in which the triangular motifs were constructed on the surface
405 will be explored in future work and is shown in the supporting information.
406  
407 \subsection{Dynamics}
408 While atomistic-like simulations of stepped surfaces have been
409 performed before, they tend to be performed using Monte Carlo
410 techniques\cite{Williams:1991,Williams:1994}. This allows them
411 to efficiently sample the equilibrium thermodynamic landscape
412 but at the expense of ignoring the dynamics of the system. Previous
413 work by Pearl and Sibener\cite{Pearl}, using STM, has been able to
414 visualize the coalescing of steps of Ni(977). The time scale of the image
415 acquisition, $\sim$70 s/image provides an upper bounds for the time
416 required for the doubling to actually occur. Statistical treatments of step-edges
417 are adept at analyzing such systems. However, in a system where
418 the number of steps is limited, examining the individual atoms that make
419 up the steps can provide useful information as well.
407  
408 + % RESULTS
409 + %
410 + \section{Results}
411 + \subsection{Structural remodeling}
412 + The bare metal surfaces experienced minor roughening of the
413 + step-edge because of the elevated temperatures, but the (557)
414 + face was stable throughout the simulations. The surface of both
415 + systems, upon dosage of CO, began to undergo extensive remodeling
416 + that was not observed in the bare systems. Reconstructions of
417 + the Au systems were limited to breakup of the step-edges and
418 + some step wandering. The lower coverage Pt systems experienced
419 + similar restructuring but to a greater extent. The 50\% coverage
420 + Pt system was unique among our simulations in that it formed
421 + well-defined and stable double layers through step coalescence,
422 + similar to results reported by Tao {\it et al}.\cite{Tao:2010}
423  
422 \subsubsection{Transport of surface metal atoms}
423 %forcedSystems/stepSeparation
424 The movement or wandering of a step-edge is a cooperative effect
425 arising from the individual movements, primarily through surface
426 diffusion, of the atoms making up the step. An ideal metal surface
427 displaying a low index facet, (111) or (100) is unlikely to experience
428 much surface diffusion because of the large energetic barrier that must
429 be overcome to lift an atom out of the surface. The presence of step-edges
430 on higher-index surfaces provide a source for mobile metal atoms.
431 Breaking away from the step-edge on a clean surface still imposes an
432 energetic penalty around $\sim$~40 kcal/mole, but is much less than lifting
433 the same metal atom out from the surface,  \textgreater~60 kcal/mole, and
434 the penalty lowers even further when CO is present in sufficient quantities
435 on the surface. For certain tested distributions of CO, the penalty was lowered
436 to $\sim$~20 kcal/mole. Once an adatom exists on the surface, its barrier for
437 diffusion is negligible ( \textless~4 kcal/mole) and is well able to explore the
438 terrace before potentially rejoining its original step-edge or becoming a part
439 of a different edge. Atoms traversing separate terraces is a more difficult
440 process, but can be overcome through a joining and lifting stage which is
441 examined in the discussion section. By tracking the mobility of individual
442 metal atoms on the Pt and Au surfaces we were able to determine the relative
443 diffusion rates and how varying coverages of CO affected the rates. Close
444 observation of the mobile metal atoms showed that they were typically in
445 equilibrium with the step-edges, constantly breaking apart and rejoining.
446 At times their motion was concerted and two or more adatoms would be
447 observed moving together across the surfaces. The primary challenge in
448 quantifying the overall surface mobility was in defining ``mobile" vs. ``static" atoms.
424  
425 < A particle was considered mobile once it had traveled more than 2~\AA~
426 < between saved configurations of the system (10-100 ps). An atom that was
427 < truly mobile would typically travel much greater than this, but the 2~\AA~ cutoff
428 < was to prevent the in-place vibrational movement of non-surface atoms from
429 < being included in the analysis. Diffusion on  a surface is strongly affected by
430 < local structures and in this work the presence of single and double layer
431 < step-edges causes the diffusion parallel to the step-edges to be different
432 < from the diffusion perpendicular to these edges. This led us to compute
433 < those diffusions separately as seen in Figure \ref{fig:diff}.
425 > \subsubsection{Step wandering}
426 > The 0\% coverage surfaces for both metals showed minimal
427 > step-wandering at their respective temperatures. As the CO
428 > coverage increased however, the mobility of the surface atoms,
429 > described through adatom diffusion and step-edge wandering,
430 > also increased.  Except for the 50\% Pt system where step
431 > coalescence occurred, the step-edges in the other simulations
432 > preferred to keep nearly the same distance between steps as in
433 > the original (557) lattice, $\sim$13\AA~for Pt and $\sim$14\AA~for Au.
434 > Previous work by Williams {\it et al}.\cite{Williams:1991, Williams:1994}
435 > highlights the repulsion that exists between step-edges even
436 > when no direct interactions are present in the system. This
437 > repulsion is caused by an entropic barrier that arises from
438 > the fact that steps cannot cross over one another. This entropic
439 > repulsion does not completely define the interactions between
440 > steps, however, so it is possible to observe step coalescence
441 > on some surfaces.\cite{Williams:1991} The presence and
442 > concentration of adsorbates, as shown in this work, can
443 > affect step-step interactions, potentially leading to a new
444 > surface structure as the thermodynamic equilibrium.
445  
446 < \subsubsection{Double layer formation}
447 < The increased amounts of diffusion on Pt at the higher CO coverages appears
448 < to play a primary role in the formation of double layers, although this conclusion
449 < does not explain the 33\% coverage Pt system. On the 50\% system, three
450 < separate layers were formed over the extended run time of this system. As
451 < mentioned earlier, previous experimental work has given some insight into the
452 < upper bounds of the time required for enough atoms to move around to allow two
453 < steps to coalesce\cite{Williams:1991,Pearl}. As seen in Figure \ref{fig:reconstruct},
454 < the first appearance of a double layer, a nodal site, appears at 19 ns into the
455 < simulation. Within 12 ns, nearly half of the step has formed the double layer and
456 < by 86 ns, a smooth complete layer has formed. The double layer is ``complete" by
457 < 37 ns but is a bit rough. From the appearance of the first node to the initial doubling
458 < of the layers ignoring their roughness took $\sim$~20 ns. Another ~40 ns was
459 < necessary for the layer to completely straighten. The other two layers in this
460 < simulation form over a period of 22 ns and 42 ns respectively. Comparing this to
461 < the upper bounds of the image scan, it is likely that aspects of this reconstruction
462 < occur very quickly.
446 > \subsubsection{Double layers}
447 > Tao {\it et al}.\cite{Tao:2010} have shown experimentally that the Pt(557) surface
448 > undergoes two separate reconstructions upon CO adsorption.
449 > The first involves a doubling of the step height and plateau length.
450 > Similar behavior has been seen on a number of surfaces
451 > at varying conditions, including Ni(977) and Si(111).\cite{Williams:1994,Williams:1991,Pearl}
452 > Of the two systems we examined, the Pt system showed a greater
453 > propensity for reconstruction  
454 > because of the larger surface mobility and the greater extent of step wandering.
455 > The amount of reconstruction was strongly correlated to the amount of CO
456 > adsorbed upon the surface.  This appears to be related to the
457 > effect that adsorbate coverage has on edge breakup and on the
458 > surface diffusion of metal adatoms. Only the 50\% Pt surface underwent the
459 > doubling seen by Tao {\it et al}.\cite{Tao:2010} within the time scales studied here.
460 > Over a longer time scale (150~ns) two more double layers formed
461 > on this surface. Although double layer formation did not occur
462 > in the other Pt systems, they exhibited more step-wandering and
463 > roughening compared to their Au counterparts. The
464 > 50\% Pt system is highlighted in Figure \ref{fig:reconstruct} at
465 > various times along the simulation showing the evolution of a double layer step-edge.
466  
467 + The second reconstruction observed by
468 + Tao {\it et al}.\cite{Tao:2010} involved the formation of triangular clusters that stretched
469 + across the plateau between two step-edges. Neither metal, within
470 + the 40~ns time scale or the extended simulation time of 150~ns for
471 + the 50\% Pt system, experienced this reconstruction.
472 +
473   %Evolution of surface
474   \begin{figure}[H]
475 < \includegraphics[width=\linewidth]{ProgressionOfDoubleLayerFormation_yellowCircle.png}
475 > \includegraphics[width=\linewidth]{EPS_ProgressionOfDoubleLayerFormation.pdf}
476   \caption{The Pt(557) / 50\% CO system at a sequence of times after
477 <  initial exposure to the CO: (a) 258 ps, (b) 19 ns, (c) 31.2 ns, and
478 <  (d) 86.1 ns. Disruption of the (557) step-edges occurs quickly.  The
477 >  initial exposure to the CO: (a) 258~ps, (b) 19~ns, (c) 31.2~ns, and
478 >  (d) 86.1~ns. Disruption of the (557) step-edges occurs quickly.  The
479    doubling of the layers appears only after two adjacent step-edges
480    touch.  The circled spot in (b) nucleated the growth of the double
481    step observed in the later configurations.}
482    \label{fig:reconstruct}
483   \end{figure}
484  
485 + \subsection{Dynamics}
486 + Previous experimental work by Pearl and Sibener\cite{Pearl},
487 + using STM, has been able to capture the coalescence of steps
488 + on Ni(977). The time scale of the image acquisition, $\sim$70~s/image,
489 + provides an upper bound for the time required for the doubling
490 + to occur. By utilizing Molecular Dynamics we are able to probe
491 + the dynamics of these reconstructions at elevated temperatures
492 + and in this section we provide data on the timescales for transport
493 + properties, e.g. diffusion and layer formation time.
494 +
495 +
496 + \subsubsection{Transport of surface metal atoms}
497 + %forcedSystems/stepSeparation
498 + The wandering of a step-edge is a cooperative effect
499 + arising from the individual movements of the atoms making up the steps. An ideal metal surface
500 + displaying a low index facet, (111) or (100), is unlikely to experience
501 + much surface diffusion because of the large energetic barrier that must
502 + be overcome to lift an atom out of the surface. The presence of step-edges and other surface features
503 + on higher-index facets provides a lower energy source for mobile metal atoms.
504 + Single-atom break-away from a step-edge on a clean surface still imposes an
505 + energetic penalty around $\sim$~45 kcal/mol, but this is easier than lifting
506 + the same metal atom vertically out of the surface,  \textgreater~60 kcal/mol.
507 + The penalty lowers significantly when CO is present in sufficient quantities
508 + on the surface. For certain distributions of CO, see Discussion, the penalty can fall to as low as
509 + $\sim$~20 kcal/mol. Once an adatom exists on the surface, the barrier for
510 + diffusion is negligible (\textless~4 kcal/mol for a Pt adatom). These adatoms are then
511 + able to explore the terrace before rejoining either their original step-edge or
512 + becoming a part of a different edge. It is an energetically unfavorable process with a high barrier for an atom
513 + to traverse to a separate terrace although the presence of CO can lower the
514 + energy barrier required to lift or lower an adatom. By tracking the mobility of individual
515 + metal atoms on the Pt and Au surfaces we were able to determine the relative
516 + diffusion constants, as well as how varying coverages of CO affect the diffusion. Close
517 + observation of the mobile metal atoms showed that they were typically in
518 + equilibrium with the step-edges.
519 + At times, their motion was concerted and two or more adatoms would be
520 + observed moving together across the surfaces.
521 +
522 + A particle was considered ``mobile'' once it had traveled more than 2~\AA~
523 + between saved configurations of the system (typically 10-100 ps). A mobile atom
524 + would typically travel much greater distances than this, but the 2~\AA~cutoff
525 + was used to prevent swamping the diffusion data with the in-place vibrational
526 + movement of buried atoms. Diffusion on a surface is strongly affected by
527 + local structures and in this work, the presence of single and double layer
528 + step-edges causes the diffusion parallel to the step-edges to be larger than
529 + the diffusion perpendicular to these edges. Parallel and perpendicular
530 + diffusion constants are shown in Figure \ref{fig:diff}.
531 +
532 + %Diffusion graph
533   \begin{figure}[H]
534 < \includegraphics[width=\linewidth]{DiffusionComparison_errorXY_remade.pdf}
534 > \includegraphics[width=\linewidth]{Portrait_DiffusionComparison_1.pdf}
535   \caption{Diffusion constants for mobile surface atoms along directions
536    parallel ($\mathbf{D}_{\parallel}$) and perpendicular
537    ($\mathbf{D}_{\perp}$) to the (557) step-edges as a function of CO
538    surface coverage.  Diffusion parallel to the step-edge is higher
539    than that perpendicular to the edge because of the lower energy
540    barrier associated with traversing along the edge as compared to
541 <  completely breaking away. Additionally, the observed
542 <  maximum and subsequent decrease for the Pt system suggests that the
543 <  CO self-interactions are playing a significant role with regards to
544 <  movement of the Pt atoms around and across the surface. }
541 >  completely breaking away. The two reported diffusion constants for
542 >  the 50\% Pt system arise from different sample sets. The lower values
543 >  correspond to the same 40~ns amount that all of the other systems were
544 >  examined at, while the larger values correspond to a 20~ns period }
545   \label{fig:diff}
546   \end{figure}
547  
548 + The weaker Au-CO interaction is evident in the weak CO-coverage
549 + dependance of Au diffusion. This weak interaction leads to lower
550 + observed coverages when compared to dosage amounts. This further
551 + limits the effect the CO can have on surface diffusion. The correlation
552 + between coverage and Pt diffusion rates shows a near linear relationship
553 + at the earliest times in the simulations. Following double layer formation,
554 + however, there is a precipitous drop in adatom diffusion. As the double
555 + layer forms, many atoms that had been tracked for mobility data have
556 + now been buried resulting in a smaller reported diffusion constant. A
557 + secondary effect of higher coverages is CO-CO cross interactions that
558 + lower the effective mobility of the Pt adatoms that are bound to each CO.
559 + This effect would become evident only at higher coverages. A detailed
560 + account of Pt adatom energetics follows in the Discussion.
561 +
562  
563 + \subsubsection{Dynamics of double layer formation}
564 + The increased diffusion on Pt at the higher CO coverages is the primary
565 + contributor to double layer formation. However, this is not a complete
566 + explanation -- the 33\%~Pt system has higher diffusion constants, but
567 + did not show any signs of edge doubling in 40~ns. On the 50\%~Pt
568 + system, one double layer formed within the first 40~ns of simulation time,
569 + while two more were formed as the system was allowed to run for an
570 + additional 110~ns (150~ns total). This suggests that this reconstruction
571 + is a rapid process and that the previously mentioned upper bound is a
572 + very large overestimate.\cite{Williams:1991,Pearl} In this system the first
573 + appearance of a double layer appears at 19~ns into the simulation.
574 + Within 12~ns of this nucleation event, nearly half of the step has formed
575 + the double layer and by 86~ns the complete layer has flattened out.
576 + From the appearance of the first nucleation event to the first observed
577 + double layer, the process took $\sim$20~ns. Another $\sim$40~ns was
578 + necessary for the layer to completely straighten. The other two layers in
579 + this simulation formed over periods of 22~ns and 42~ns respectively.
580 + A possible explanation for this rapid reconstruction is the elevated
581 + temperatures under which our systems were simulated. The process
582 + would almost certainly take longer at lower temperatures. Additionally,
583 + our measured times for completion of the doubling after the appearance
584 + of a nucleation site are likely affected by our periodic boxes. A longer
585 + step-edge will likely take longer to ``zipper''.
586  
587  
588   %Discussion
589   \section{Discussion}
590 < In this paper we have shown that we were able to accurately model the initial reconstruction of the
591 < Pt(557) surface upon CO adsorption as shown by Tao et al. \cite{Tao:2010}. More importantly, we
592 < were able to observe the dynamic processes necessary for this reconstruction.
590 > We have shown that a classical potential model is able to model the
591 > initial reconstruction of the Pt(557) surface upon CO adsorption as
592 > shown by Tao {\it et al}.\cite{Tao:2010}. More importantly, we were
593 > able to observe features of the dynamic processes necessary for
594 > this reconstruction. Here we discuss the features of the model that
595 > give rise to the observed dynamical properties of the (557) reconstruction.
596  
597 < \subsection{Mechanism for restructuring}
598 < Comparing the results from simulation to those reported previously by
599 < Tao et al.\cite{Tao:2010} the similarities in the Pt-CO system are quite
600 < strong. As shown in Figure \ref{fig:reconstruct}, the simulated Pt
601 < system under a CO atmosphere will restructure by doubling the terrace
602 < heights. The restructuring occurs slowly, one to two Pt atoms at a time.
603 < Looking at individual configurations of the system, the adatoms either
604 < break away from the step-edge and stay on the lower terrace or they lift
605 < up onto the higher terrace. Once ``free'' they will diffuse on the terrace
606 < until reaching another step-edge or coming back to their original edge.  
607 < This combination of growth and decay of the step-edges is in a state of
608 < dynamic equilibrium. However, once two previously separated edges
609 < meet as shown in Figure 1.B, this meeting point tends to act as a focus
610 < or growth point for the rest of the edge to meet up, akin to that of a zipper.
528 < From the handful of cases where a double layer was formed during the
529 < simulation, measuring from the initial appearance of a growth point, the
530 < double layer tends to be fully formed within $\sim$~35 ns.
597 > \subsection{Diffusion}
598 > The perpendicular diffusion constant
599 > appears to be the most important indicator of double layer
600 > formation. As highlighted in Figure \ref{fig:reconstruct}, the
601 > formation of the double layer did not begin until a nucleation
602 > site appeared. And as mentioned by Williams {\it et al}.\cite{Williams:1991, Williams:1994},
603 > the inability for edges to cross leads to an effective edge-edge repulsion that
604 > must be overcome to allow step coalescence.
605 > A greater $\textbf{D}_\perp$ implies more step-wandering
606 > and a larger chance for the stochastic meeting of two edges
607 > to create a nucleation point. Parallel diffusion along the step-edge can help ``zipper'' up a nascent double
608 > layer. This helps explain why the time scale for formation after
609 > the appearance of a nucleation site was rapid, while the initial
610 > appearance of the nucleation site was unpredictable.
611  
612 < A number of possible mechanisms exist to explain the role of adsorbed
613 < CO in restructuring the Pt surface. Quadrupolar repulsion between adjacent
614 < CO molecules adsorbed on the surface is one likely possibility.  However,
615 < the quadrupole-quadrupole interaction is short-ranged and is attractive for
616 < some orientations.  If the CO molecules are ``locked'' in a specific orientation
617 < relative to each other, through atop adsorption perhaps, this explanation
618 < gains some weight.  The energetic repulsion between two CO located a
619 < distance of 2.77~\AA~apart (nearest-neighbor distance of Pt) with both in
620 < a  vertical orientation is 8.62 kcal/mole. Moving the CO apart to the second
621 < nearest-neighbor distance of 4.8~\AA~or 5.54~\AA~drops the repulsion to
622 < nearly 0 kcal/mole. Allowing the CO's to leave a purely vertical orientation
623 < also quickly drops the repulsion, a minimum is reached at $\sim$24 degrees
624 < of 6.2 kcal/mole. As mentioned above, the energy barrier for surface diffusion
625 < of a Pt adatom is only 4 kcal/mole. So this repulsion between CO can help
626 < increase the surface diffusion. However, the residence time of CO was
627 < examined and while the majority of the CO is on or near the surface throughout
628 < the run, it is extremely mobile. This mobility suggests that the CO are more
629 < likely to shift their positions without necessarily dragging the Pt along with them.
612 > \subsection{Mechanism for restructuring}
613 > Since the Au surface showed no large scale restructuring in any of
614 > our simulations, our discussion will focus on the 50\% Pt-CO system
615 > which did exhibit doubling. A
616 > number of possible mechanisms exist to explain the role of adsorbed
617 > CO in restructuring the Pt surface. Quadrupolar repulsion between
618 > adjacent CO molecules adsorbed on the surface is one possibility.  
619 > However, the quadrupole-quadrupole interaction is short-ranged and
620 > is attractive for some orientations.  If the CO molecules are ``locked'' in
621 > a specific orientation relative to each other, through atop adsorption for
622 > example, this explanation would gain credence. The calculated energetic repulsion
623 > between two CO molecules located a distance of 2.77~\AA~apart
624 > (nearest-neighbor distance of Pt) and both in a vertical orientation,
625 > is 8.62 kcal/mol. Moving the CO to the second nearest-neighbor distance
626 > of 4.8~\AA~drops the repulsion to nearly 0. Allowing the CO to rotate away
627 > from a purely vertical orientation also lowers the repulsion. When the
628 > carbons are locked at a distance of 2.77~\AA, a minimum of 6.2 kcal/mol is
629 > reached when the angle between the 2 CO is $\sim$24\textsuperscript{o}.
630 > The calculated barrier for surface diffusion of a Pt adatom is only 4 kcal/mol, so
631 > repulsion between adjacent CO molecules bound to Pt could increase the surface
632 > diffusion. However, the residence time of CO on Pt suggests that these
633 > molecules are extremely mobile, with diffusion constants 40 to 2500 times
634 > larger than surface Pt atoms. This mobility suggests that the CO molecules jump
635 > between different Pt atoms throughout the simulation, but will stay bound for
636 > significant periods of time.
637  
638 < Another possible and more likely mechanism for the restructuring is in the
639 < destabilization of strong Pt-Pt interactions by CO adsorbed on surface
640 < Pt atoms.  This would then have the effect of increasing surface mobility
641 < of these atoms.  To test this hypothesis, numerous configurations of
642 < CO in varying quantities were arranged on the higher and lower plateaus
643 < around a step on a otherwise clean Pt(557) surface. One representative
644 < configuration is displayed in Figure \ref{fig:lambda}. Single or concerted movement
645 < of Pt atoms was then examined to determine possible barriers. Because
646 < the movement was forced along a pre-defined reaction coordinate that may differ
647 < from the true minimum of this path, only the beginning and ending energies
648 < are displayed in Table \ref{tab:energies}. These values suggest that the presence of CO at suitable
649 < locations can lead to lowered barriers for Pt breaking apart from the step-edge.
650 < Additionally, as highlighted in Figure \ref{fig:lambda}, the presence of CO makes the
651 < burrowing and lifting of adatoms favorable, whereas without CO, the process is neutral
652 < in terms of energetics.
638 > A different interpretation of the above mechanism, taking into account the large
639 > mobility of the CO, looks at how instantaneous and short-lived configurations of
640 > CO on the surface can destabilize Pt-Pt interactions leading to increased step-edge
641 > breakup and diffusion. On the bare Pt(557) surface the barrier to completely detach
642 > an edge atom is $\sim$43~kcal/mol, as is shown in configuration (a) in Figures
643 > \ref{fig:SketchGraphic} \& \ref{fig:SketchEnergies}. For certain configurations, cases
644 > (e), (g), and (h), the barrier can be lowered to $\sim$23~kcal/mole. In these instances,
645 > it becomes quite energetically favorable to roughen the edge by introducing a small
646 > separation of 0.5 to 1.0~\AA. This roughening becomes immediately obvious in
647 > simulations with significant CO populations. The roughening is present to a lesser extent
648 > on lower coverage surfaces and even on the bare surfaces, although in these cases it is likely
649 > due to stochastic vibrational processes that squeeze out step-edge atoms. The mechanism
650 > of step-edge breakup suggested by these energy curves is one of the most difficult
651 > processes, a complete break-away from the step-edge in one unbroken movement.
652 > Easier multistep mechanisms likely exist where an adatom moves laterally on the surface
653 > after being ejected so it ends up alongside the ledge. This provides the atom with 5 nearest
654 > neighbors, which while lower than the 7 if it had stayed a part of the step-edge, is higher
655 > than the 3 it could maintain located on the terrace. In this proposed mechanism, the CO
656 > quadrupolar repulsion is still playing a primary role, but for its importance in roughening
657 > the step-edge, rather than maintaining long-term bonds with a single Pt atom which is not
658 > born out by their mobility data. The requirement for a large density of CO on the surface
659 > for some of the more favorable suggested configurations in Figure \ref{fig:SketchGraphic}
660 > correspond well with the increased mobility seen on higher coverage surfaces.
661  
662 + %Sketch graphic of different configurations
663 + \begin{figure}[H]
664 + \includegraphics[width=0.8\linewidth, height=0.8\textheight]{COpathsSketch.pdf}
665 + \caption{The dark grey atoms refer to the upper ledge, while the white atoms are
666 + the lower terrace. The blue highlighted atoms had a CO in a vertical atop position
667 + upon them. These are a sampling of the configurations examined to gain a more
668 + complete understanding of the effects CO has on surface diffusion and edge breakup.
669 + Energies associated with each configuration are displayed in Figure \ref{fig:SketchEnergies}.}
670 + \label{fig:SketchGraphic}
671 + \end{figure}
672 +
673 + %energy graph corresponding to sketch graphic
674 + \begin{figure}[H]
675 + \includegraphics[width=\linewidth]{Portrait_SeparationComparison.pdf}
676 + \caption{The energy curves directly correspond to the labeled model
677 + surface in Figure \ref{fig:SketchGraphic}. All energy curves are relative
678 + to their initial configuration so the energy of a and h do not have the
679 + same zero value. As is seen, certain arrangements of CO can lower
680 + the energetic barrier that must be overcome to create an adatom.
681 + However, it is the highest coverages where these higher-energy
682 + configurations of CO will be more likely. }
683 + \label{fig:SketchEnergies}
684 + \end{figure}
685 +
686 + While configurations of CO on the surface are able to increase diffusion,
687 + this does not immediately provide an explanation for the formation of double
688 + layers. If adatoms were constrained to their terrace then doubling would be
689 + much less likely to occur. Nucleation sites could still potentially form, but there
690 + would not be enough atoms to finish the doubling. For a non-simulated metal surface, where the
691 + step lengths can be assumed to be infinite relative to atomic sizes, local doubling would be possible, but in
692 + our simulations with our periodic treatment of the system, the system is not large enough to experience this effect.
693 + Thus, there must be a mechanism that explains how adatoms are able to move
694 + amongst terraces. Figure \ref{fig:lambda} shows points along a reaction coordinate
695 + where an adatom along the step-edge with an adsorbed CO ``burrows'' into the
696 + edge displacing an atom onto the higher terrace. This mechanism was chosen
697 + because of similar events that were observed during the simulations. The barrier
698 + heights we obtained are only approximations because we constrained the movement
699 + of the highlighted atoms along a specific concerted path. The calculated $\Delta E$'s
700 + are provide a strong energetic support for this modeled lifting mechanism. When CO is not present and
701 + this reaction coordinate is followed, the $\Delta E > 3$~kcal/mol. The example shown
702 + in the figure, where CO is present in the atop position, has a $\Delta E < -15$~kcal/mol.
703 + While the barrier height is comparable for both cases, there is nearly a 20~kcal/mol
704 + difference in energies and makes the process energetically favorable.
705 +
706   %lambda progression of Pt -> shoving its way into the step
707   \begin{figure}[H]
708 < \includegraphics[width=\linewidth]{lambdaProgression_atopCO.png}
709 < \caption{A model system of the Pt(557) surface was used as the framework
710 < for exploring energy barriers along a reaction coordinate. Various numbers,
711 < placements, and rotations of CO were examined as they affect Pt movement.
712 < The coordinate displayed in this Figure was a representative run. As shown
574 < in Table \ref{tab:rxcoord}, relative to the energy of the system at 0\%, there
575 < is a slight decrease upon insertion of the Pt atom into the step-edge along
576 < with the resultant lifting of the other Pt atom when CO is present at certain positions.}
708 > \includegraphics[width=\linewidth]{EPS_rxnCoord.pdf}
709 > \caption{ Various points along a reaction coordinate are displayed in the figure.
710 > The mechanism of edge traversal is examined in the presence of CO. The approximate
711 > barrier for the displayed process is 20~kcal/mol. However, the $\Delta E$ of this process
712 > is -15~kcal/mol making it an energetically favorable process.}
713   \label{fig:lambda}
714   \end{figure}
715  
716 + The mechanism for doubling on this surface appears to require the cooperation of at least
717 + these two described processes. For complete doubling of a layer to occur there must
718 + be the equivalent removal of a separate terrace. For those atoms to ``disappear'' from
719 + that terrace they must either rise up on the ledge above them or drop to the ledge below
720 + them. The presence of CO helps with the energetics of both of these situations. There must be sufficient
721 + breakage of the step-edge to increase the concentration of adatoms on the surface and
722 + these adatoms must then undergo the burrowing highlighted above or some comparable
723 + mechanism to traverse the step-edge. Over time, these mechanisms working in concert
724 + lead to the formation of a double layer.
725  
726 + \subsection{CO Removal and double layer stability}
727 + Once a double layer had formed on the 50\%~Pt system it
728 + remained for the rest of the simulation time with minimal
729 + movement. There were configurations that showed small
730 + wells or peaks forming, but typically within a few nanoseconds
731 + the feature would smooth away. Within our simulation time,
732 + the formation of the double layer was irreversible and a double
733 + layer was never observed to split back into two single layer
734 + step-edges while CO was present. To further gauge the effect
735 + CO had on this system, additional simulations were run starting
736 + from a late configuration of the 50\%~Pt system that had formed
737 + double layers. These simulations then had their CO removed.
738 + The double layer breaks rapidly in these simulations, already
739 + showing a well-defined splitting after 100~ps. Configurations of
740 + this system are shown in Figure \ref{fig:breaking}. The coloring
741 + of the top and bottom layers helps to exhibit how much mixing
742 + the edges experience as they split. These systems were only
743 + examined briefly, 10~ns, and within that time despite the initial
744 + rapid splitting, the edges only moved another few \AA~apart.
745 + It is possible with longer simulation times that the
746 + (557) lattice could be recovered as seen by Tao {\it et al}.\cite{Tao:2010}
747  
582 \subsection{Diffusion}
583 As shown in the results section, the diffusion parallel to the step-edge tends to be
584 much larger than that perpendicular to the step-edge, likely because of the dynamic
585 equilibrium that is established between the step-edge and adatom interface. The coverage
586 of CO also appears to play a slight role in relative rates of diffusion, as shown in Figure \ref{fig:diff}.
587 The
588 Thus, the bottleneck of the double layer formation appears to be the initial formation
589 of this growth point, which seems to be somewhat of a stochastic event. Once it
590 appears, parallel diffusion, along the now slightly angled step-edge, will allow for
591 a faster formation of the double layer than if the entire process were dependent on
592 only perpendicular diffusion across the plateaus. Thus, the larger $D_{\perp}$, the
593 more likely a growth point is to be formed.
594 \\
748  
749  
750   %breaking of the double layer upon removal of CO
751   \begin{figure}[H]
752 < \includegraphics[width=\linewidth]{doubleLayerBreaking_greenBlue_whiteLetters.png}
753 < %:
754 < \caption{(A)  0 ps, (B) 100 ps, (C) 1 ns, after the removal of CO. The presence of the CO
755 < helped maintain the stability of the double layer and upon removal the two layers break
756 < and begin separating. The separation is not a simple pulling apart however, rather
757 < there is a mixing of the lower and upper atoms at the edge.}
752 > \includegraphics[width=\linewidth]{EPS_doubleLayerBreaking.pdf}
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 its microfaceting of the double layer
755 > into a (111) configuration. This microfacet immediately reverts to the original (100) step
756 > edge which is a hallmark of the (557) surface. The separation is not a simple sliding apart, rather
757 > there is a mixing of the lower and upper atoms at the edge.}
758   \label{fig:breaking}
759   \end{figure}
760  
# Line 609 | Line 762 | more likely a growth point is to be formed.
762  
763  
764   %Peaks!
765 < \begin{figure}[H]
766 < \includegraphics[width=\linewidth]{doublePeaks_noCO.png}
767 < \caption{At the initial formation of this double layer  ( $\sim$ 37 ns) there is a degree
768 < of roughness inherent to the edge. The next $\sim$ 40 ns show the edge with
769 < aspects of waviness and by 80 ns the double layer is completely formed and smooth. }
770 < \label{fig:peaks}
771 < \end{figure}
765 > %\begin{figure}[H]
766 > %\includegraphics[width=\linewidth]{doublePeaks_noCO.png}
767 > %\caption{At the initial formation of this double layer  ( $\sim$ 37 ns) there is a degree
768 > %of roughness inherent to the edge. The next $\sim$ 40 ns show the edge with
769 > %aspects of waviness and by 80 ns the double layer is completely formed and smooth. }
770 > %\label{fig:peaks}
771 > %\end{figure}
772  
773  
774   %Don't think I need this
# Line 629 | Line 782 | In this work we have shown the reconstruction of the P
782  
783  
784   \section{Conclusion}
785 < 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.
785 > The strength of the Pt-CO binding interaction as well as the large
786 > quadrupolar repulsion between CO molecules are sufficient to
787 > explain the observed increase in surface mobility and the resultant
788 > reconstructions at the highest simulated coverage. The weaker
789 > Au-CO interaction results in lower diffusion constants, less step-wandering,
790 > and a lack of the double layer reconstruction. An in-depth examination
791 > of the energetics shows the important role CO plays in increasing
792 > step-breakup and in facilitating edge traversal which are both
793 > necessary for double layer formation.
794  
795 +
796 +
797   %Things I am not ready to remove yet
798  
799   %Table of Diffusion Constants
# Line 653 | Line 816 | In this work we have shown the reconstruction of the P
816   % \end{tabular}
817   % \end{table}
818  
819 < \section{Acknowledgments}
819 > \begin{acknowledgement}
820   Support for this project was provided by the National Science
821   Foundation under grant CHE-0848243 and by the Center for Sustainable
822   Energy at Notre Dame (cSEND). Computational time was provided by the
823   Center for Research Computing (CRC) at the University of Notre Dame.
824 <
824 > \end{acknowledgement}
825   \newpage
826   \bibliography{firstTryBibliography}
827 < \end{doublespace}
827 > %\end{doublespace}
828 >
829 > \begin{tocentry}
830 > %\includegraphics[height=3.5cm]{timelapse}
831 > \end{tocentry}
832 >
833   \end{document}

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