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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}
14 + \usepackage{mathptm}
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[ref]{overcite}
26 < \usepackage[square, comma, sort&compress]{natbib}
22 > \usepackage{multicol}
23 > \usepackage{wrapfig}
24 > \mciteErrorOnUnknownfalse
25 > %\usepackage{epstopdf}
26 >
27 > \usepackage[version=3]{mhchem}  % this is a great package for formatting chemical reactions
28 > % \usepackage[square, comma, sort&compress]{natbib}
29   \usepackage{url}
30   \pagestyle{plain} \pagenumbering{arabic} \oddsidemargin 0.0cm
31   \evensidemargin 0.0cm \topmargin -21pt \headsep 10pt \textheight
32 < 9.0in \textwidth 6.5in \brokenpenalty=10000
32 > 9.0in \textwidth 6.5in \brokenpenalty=1110000
33  
34   % double space list of tables and figures
35 < \AtBeginDelayedFloats{\renewcommand{\baselinestretch}{1.66}}
35 > %\AtBeginDelayedFloats{\renewcomand{\baselinestretch}{1.66}}
36   \setlength{\abovecaptionskip}{20 pt}
37   \setlength{\belowcaptionskip}{30 pt}
38 + % \bibpunct{}{}{,}{s}{}{;}
39  
40 < %\renewcommand\citemid{\ } % no comma in optional reference note
41 < \bibpunct{[}{]}{,}{n}{}{;}
27 < \bibliographystyle{achemso}
40 > %\citestyle{nature}
41 > % \bibliographystyle{achemso}
42  
43 < \begin{document}
43 > \title{Molecular Dynamics simulations of the surface reconstructions
44 >  of Pt(557) and Au(557) under exposure to CO}
45  
46 + \author{Joseph R. Michalka}
47 + \author{Patrick W. McIntyre}
48 + \author{J. Daniel Gezelter}
49 + \email{gezelter@nd.edu}
50 + \affiliation[University of Notre Dame]{251 Nieuwland Science Hall\\
51 +  Department of Chemistry and Biochemistry\\ University of Notre
52 +  Dame\\ Notre Dame, Indiana 46556}
53  
54 + \keywords{}
55 +
56 + \begin{document}
57 +
58 +
59   %%
60   %Introduction
61   %       Experimental observations
# Line 47 | Line 74
74   %Summary
75   %%
76  
50 %Title
51 \title{Investigation of the Pt and Au 557 Surface Reconstructions
52  under a CO Atmosphere}
53 \author{Joseph R. Michalka, Patrick W. MacIntyre and J. Daniel
54 Gezelter\footnote{Corresponding author. \ Electronic mail: gezelter@nd.edu} \\
55 Department of Chemistry and Biochemistry,\\
56 University of Notre Dame\\
57 Notre Dame, Indiana 46556}
58 %Date
59 \date{Dec 15,  2012}
60 %authors
77  
62 % make the title
63 \maketitle
64
65 \begin{doublespace}
66
78   \begin{abstract}
79 <
79 >  The mechanism and dynamics of surface reconstructions of Pt(557) and
80 >  Au(557) exposed to various coverages of carbon monoxide (CO) were
81 >  investigated using molecular dynamics simulations. Metal-CO
82 >  interactions were parameterized from experimental data and
83 >  plane-wave Density Functional Theory (DFT) calculations.  The large
84 >  difference in binding strengths of the Pt-CO and Au-CO interactions
85 >  was found to play a significant role in step-edge stability and
86 >  adatom diffusion constants.  Various mechanisms for CO-mediated step
87 >  wandering and step doubling were investigated on the Pt(557)
88 >  surface.  We find that the energetics of CO adsorbed to the surface
89 >  can explain the step-doubling reconstruction observed on Pt(557) and
90 >  the lack of such a reconstruction on the Au(557) surface.
91   \end{abstract}
92  
93   \newpage
# Line 79 | Line 101 | Industrial catalysts usually consist of small particle
101   %       Sub: Also, easier to observe what is going on and provide reasons and explanations
102   %
103  
104 < Industrial catalysts usually consist of small particles exposing
105 < different atomic terminations that exhibit a high concentration of
106 < step, kink sites, and vacancies at the edges of the facets.  These
85 < sites are thought to be the locations of catalytic
104 > Industrial catalysts usually consist of small particles that exhibit a
105 > high concentration of steps, kink sites, and vacancies at the edges of
106 > the facets.  These sites are thought to be the locations of catalytic
107   activity.\cite{ISI:000083038000001,ISI:000083924800001} There is now
108 < significant evidence to demonstrate that solid surfaces are often
109 < structurally, compositionally, and chemically {\it modified} by
110 < reactants under operating conditions.\cite{Tao2008,Tao:2010,Tao2011}
111 < The coupling between surface oxidation state and catalytic activity
112 < for CO oxidation on Pt, for instance, is widely
113 < documented.\cite{Ertl08,Hendriksen:2002} Despite the well-documented
114 < role of these effects on reactivity, the ability to capture or predict
115 < them in atomistic models is currently somewhat limited.  While these
116 < effects are perhaps unsurprising on the highly disperse, multi-faceted
117 < nanoscale particles that characterize industrial catalysts, they are
118 < manifest even on ordered, well-defined surfaces. The Pt(557) surface,
119 < for example, exhibits substantial and reversible restructuring under
120 < exposure to moderate pressures of carbon monoxide.\cite{Tao:2010}
108 > significant evidence that solid surfaces are often structurally,
109 > compositionally, and chemically modified by reactants under operating
110 > conditions.\cite{Tao2008,Tao:2010,Tao2011} The coupling between
111 > surface oxidation states and catalytic activity for CO oxidation on
112 > Pt, for instance, is widely documented.\cite{Ertl08,Hendriksen:2002}
113 > Despite the well-documented role of these effects on reactivity, the
114 > ability to capture or predict them in atomistic models is somewhat
115 > limited.  While these effects are perhaps unsurprising on the highly
116 > disperse, multi-faceted nanoscale particles that characterize
117 > industrial catalysts, they are manifest even on ordered, well-defined
118 > surfaces. The Pt(557) surface, for example, exhibits substantial and
119 > reversible restructuring under exposure to moderate pressures of
120 > carbon monoxide.\cite{Tao:2010}
121  
122 < This work is part of an ongoing effort to understand the causes,
123 < mechanisms and timescales for surface restructuring using molecular
124 < simulation methods.  Since the dynamics of the process is of
125 < particular interest, we utilize classical molecular dynamic methods
126 < with force fields that represent a compromise between chemical
127 < accuracy and the computational efficiency necessary to observe the
128 < process of interest.
122 > This work is an investigation into the mechanism and timescale for the Pt(557) \& Au(557)
123 > surface restructuring using molecular simulations.  Since the dynamics
124 > of the process are of particular interest, we employ classical force
125 > fields that represent a compromise between chemical accuracy and the
126 > computational efficiency necessary to simulate the process of interest.
127 > Since restructuring typically occurs as a result of specific interactions of the
128 > catalyst with adsorbates, in this work, two metal systems exposed
129 > to carbon monoxide were examined. The Pt(557) surface has already been shown
130 > to undergo a large scale reconstruction under certain conditions.\cite{Tao:2010}
131 > The Au(557) surface, because of a weaker interaction with CO, is less
132 > likely to undergo this kind of reconstruction. However, Peters {\it et al}.\cite{Peters:2000}
133 > and Piccolo {\it et al}.\cite{Piccolo:2004} have both observed CO-induced
134 > reconstruction of a Au(111) surface. Peters {\it et al}. saw a relaxation to the
135 > 22 x $\sqrt{3}$ cell. They argued that only a few Au atoms
136 > become adatoms, limiting the stress of this reconstruction, while
137 > allowing the rest to relax and approach the ideal (111)
138 > configuration. They did not see the usual herringbone pattern on Au(111) being greatly
139 > affected by this relaxation. Piccolo {\it et al}. on the other hand, did see a
140 > disruption of the herringbone pattern as CO was adsorbed to the
141 > surface. Both groups suggested that the preference CO shows for
142 > low-coordinated Au atoms was the primary driving force for the reconstruction.
143  
144 < Since restructuring occurs as a result of specific interactions of the catalyst
145 < with adsorbates, two metals systems exposed to the same adsorbate, CO,
111 < were examined in this work. The Pt(557) surface has already been shown to
112 < reconstruct under certain conditions. The Au(557) surface, because of gold's
113 < weaker interaction with CO, is less likely to undergo such a large reconstruction.
144 >
145 >
146   %Platinum molecular dynamics
147   %gold molecular dynamics
148  
117
118
119
120
121
149   \section{Simulation Methods}
150 < The challenge in modeling any solid/gas interface problem is the
150 > The challenge in modeling any solid/gas interface is the
151   development of a sufficiently general yet computationally tractable
152   model of the chemical interactions between the surface atoms and
153   adsorbates.  Since the interfaces involved are quite large (10$^3$ -
154 < 10$^6$ atoms) and respond slowly to perturbations, {\it ab initio}
154 > 10$^4$ atoms) and respond slowly to perturbations, {\it ab initio}
155   molecular dynamics
156   (AIMD),\cite{KRESSE:1993ve,KRESSE:1993qf,KRESSE:1994ul} Car-Parrinello
157   methods,\cite{CAR:1985bh,Izvekov:2000fv,Guidelli:2000fy} and quantum
# Line 133 | Line 160 | Coulomb potential.  For this work, we have been using
160   typically not well represented in terms of classical pairwise
161   interactions in the same way that bonds in a molecular material are,
162   nor are they captured by simple non-directional interactions like the
163 < Coulomb potential.  For this work, we have been using classical
164 < molecular dynamics with potential energy surfaces that are
165 < specifically tuned for transition metals.  In particular, we use the
166 < EAM potential for Au-Au and Pt-Pt interactions, while modeling the CO
167 < using a model developed by Straub and Karplus for studying
168 < photodissociation of CO from myoglobin.\cite{Straub} The Au-CO and Pt-CO
169 < cross interactions were parameterized as part of this work.
163 > Coulomb potential.  For this work, we have used classical molecular
164 > dynamics with potential energy surfaces that are specifically tuned
165 > for transition metals.  In particular, we used the EAM potential for
166 > Au-Au and Pt-Pt interactions.\cite{Foiles86} The CO was modeled using a rigid
167 > three-site model developed by Straub and Karplus for studying
168 > photodissociation of CO from myoglobin.\cite{Straub} The Au-CO and
169 > Pt-CO cross interactions were parameterized as part of this work.
170    
171   \subsection{Metal-metal interactions}
172 < Many of the potentials used for classical simulation of transition
173 < metals are based on a non-pairwise additive functional of the local
174 < electron density. The embedded atom method (EAM) is perhaps the best
175 < known of these
172 > Many of the potentials used for modeling transition metals are based
173 > on a non-pairwise additive functional of the local electron
174 > density. The embedded atom method (EAM) is perhaps the best known of
175 > these
176   methods,\cite{Daw84,Foiles86,Johnson89,Daw89,Plimpton93,Voter95a,Lu97,Alemany98}
177   but other models like the Finnis-Sinclair\cite{Finnis84,Chen90} and
178   the quantum-corrected Sutton-Chen method\cite{QSC,Qi99} have simpler
179 < parameter sets. The glue model of Ercolessi {\it et al.} is among the
180 < fastest of these density functional approaches.\cite{Ercolessi88} In
181 < all of these models, atoms are conceptualized as a positively charged
179 > parameter sets. The glue model of Ercolessi {\it et al}.\cite{Ercolessi88} is among the
180 > fastest of these density functional approaches. In
181 > all of these models, atoms are treated as a positively charged
182   core with a radially-decaying valence electron distribution. To
183   calculate the energy for embedding the core at a particular location,
184   the electron density due to the valence electrons at all of the other
185 < atomic sites is computed at atom $i$'s location,
185 > atomic sites is computed at atom $i$'s location,
186   \begin{equation*}
187   \bar{\rho}_i = \sum_{j\neq i} \rho_j(r_{ij})
188   \end{equation*}
# Line 167 | Line 194 | $\phi_{ij}(r_{ij})$ is an pairwise term that is meant
194   V_i =  F[ \bar{\rho}_i ]  + \sum_{j \neq i} \phi_{ij}(r_{ij})
195   \end{equation*}
196   where $F[ \bar{\rho}_i ]$ is an energy embedding functional, and
197 < $\phi_{ij}(r_{ij})$ is an pairwise term that is meant to represent the
198 < overlap of the two positively charged cores.  
197 > $\phi_{ij}(r_{ij})$ is a pairwise term that is meant to represent the
198 > repulsive overlap of the two positively charged cores.  
199  
200 < The {\it modified} embedded atom method (MEAM) adds angular terms to
201 < the electron density functions and an angular screening factor to the
202 < pairwise interaction between two
203 < atoms.\cite{BASKES:1994fk,Lee:2000vn,Thijsse:2002ly,Timonova:2011ve}
204 < MEAM has become widely used to simulate systems in which angular
205 < interactions are important (e.g. silicon,\cite{Timonova:2011ve} bcc
206 < metals,\cite{Lee:2001qf} and also interfaces.\cite{Beurden:2002ys})
207 < MEAM presents significant additional computational costs, however.
200 > % The {\it modified} embedded atom method (MEAM) adds angular terms to
201 > % the electron density functions and an angular screening factor to the
202 > % pairwise interaction between two
203 > % atoms.\cite{BASKES:1994fk,Lee:2000vn,Thijsse:2002ly,Timonova:2011ve}
204 > % MEAM has become widely used to simulate systems in which angular
205 > % interactions are important (e.g. silicon,\cite{Timonova:2011ve} bcc
206 > % metals,\cite{Lee:2001qf} and also interfaces.\cite{Beurden:2002ys})
207 > % MEAM presents significant additional computational costs, however.
208  
209 < The EAM, Finnis-Sinclair, MEAM, and the Quantum Sutton-Chen potentials
209 > The EAM, Finnis-Sinclair, and the Quantum Sutton-Chen (QSC) potentials
210   have all been widely used by the materials simulation community for
211   simulations of bulk and nanoparticle
212 < properties,\cite{Chui:2003fk,Wang:2005qy,Medasani:2007uq}
212 > properties,\cite{Chui:2003fk,Wang:2005qy,Medasani:2007uq,mishin99:_inter}
213   melting,\cite{Belonoshko00,sankaranarayanan:155441,Sankaranarayanan:2005lr}
214 < fracture,\cite{Shastry:1996qg,Shastry:1998dx} crack
215 < propagation,\cite{BECQUART:1993rg} and alloying
216 < dynamics.\cite{Shibata:2002hh} All of these potentials have their
217 < strengths and weaknesses.  One of the strengths common to all of the
218 < methods is the relatively large library of metals for which these
219 < potentials have been
220 < parameterized.\cite{Foiles86,PhysRevB.37.3924,Rifkin1992,mishin99:_inter,mishin01:cu,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}
214 > fracture,\cite{Shastry:1996qg,Shastry:1998dx,mishin01:cu} crack
215 > propagation,\cite{BECQUART:1993rg,Rifkin1992} and alloying
216 > dynamics.\cite{Shibata:2002hh,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni} One of EAM's strengths
217 > is its sensitivity to small changes in structure. This arises
218 > because interactions
219 > up to the third nearest neighbor were taken into account in the parameterization.\cite{Voter95a}
220 > Comparing that to the glue model of Ercolessi {\it et al}.\cite{Ercolessi88}
221 > which is only parameterized up to the nearest-neighbor
222 > interactions, EAM is a suitable choice for systems where
223 > the bulk properties are of secondary importance to low-index
224 > surface structures. Additionally, the similarity of EAM's functional
225 > treatment of the embedding energy to standard density functional
226 > theory (DFT) makes fitting DFT-derived cross potentials with adsorbates somewhat easier.
227  
228 < \subsection{CO}
229 < Since one explanation for the strong surface CO repulsion on metals is
230 < the large linear quadrupole moment of carbon monoxide, the model
231 < chosen for this molecule exhibits this property in an efficient
232 < manner.  We used a model first proposed by Karplus and Straub to study
233 < the photodissociation of CO from myoglobin.\cite{Straub} The Straub and
234 < Karplus model is a rigid three site model which places a massless M
235 < site at the center of mass along the CO bond.  The geometry used along
236 < with the interaction parameters are reproduced in Table 1. The effective
228 >
229 >
230 >
231 >
232 > \subsection{Carbon Monoxide model}
233 > Previous explanations for the surface rearrangements center on
234 > the large linear quadrupole moment of carbon monoxide.\cite{Tao:2010}  
235 > We used a model first proposed by Karplus and Straub to study
236 > the photodissociation of CO from myoglobin because it reproduces
237 > the quadrupole moment well.\cite{Straub} The Straub and
238 > Karplus model treats CO as a rigid three site molecule with a massless M
239 > site at the molecular center of mass. The geometry and interaction
240 > parameters are reproduced in Table~\ref{tab:CO}. The effective
241   dipole moment, calculated from the assigned charges, is still
242   small (0.35 D) while the linear quadrupole (-2.40 D~\AA) is close
243   to the experimental (-2.63 D~\AA)\cite{QuadrupoleCO} and quantum
244   mechanical predictions (-2.46 D~\AA)\cite{QuadrupoleCOCalc}.
245   %CO Table
246   \begin{table}[H]
247 < \caption{Positions, $\sigma$, $\epsilon$ and charges for CO geometry and self-interactions\cite{Straub}. Distances are in \AA~, energies are in kcal/mol, and charges are in $e$.}
247 >  \caption{Positions, Lennard-Jones parameters ($\sigma$ and
248 >    $\epsilon$), and charges for the CO-CO
249 >    interactions in Ref.\bibpunct{}{}{,}{n}{}{,} \protect\cite{Straub}. Distances are in \AA, energies are
250 >    in kcal/mol, and charges are in atomic units.}
251   \centering
252   \begin{tabular}{| c | c | ccc |}
253   \hline
214 \multicolumn{5}{|c|}{\textbf{Self-Interactions}}\\
215 \hline
254   &  {\it z} & $\sigma$ & $\epsilon$ & q\\
255   \hline
256 < \textbf{C} & -0.6457 &  0.0262  & 3.83   &   -0.75 \\
257 < \textbf{O} &  0.4843 &   0.1591 &   3.12 &   -0.85 \\
256 > \textbf{C} & -0.6457 &  3.83 & 0.0262   &   -0.75 \\
257 > \textbf{O} &  0.4843 &  3.12 &  0.1591  &   -0.85 \\
258   \textbf{M} & 0.0 & -  &  -  &    1.6 \\
259   \hline
260   \end{tabular}
261 + \label{tab:CO}
262   \end{table}
263  
264 < \subsection{Cross-Interactions}
264 > \subsection{Cross-Interactions between the metals and carbon monoxide}
265  
266 < One hurdle that must be overcome in classical molecular simulations
267 < is the proper parameterization of the potential interactions present
268 < in the system. Since the adsorption of CO onto a platinum surface has been
269 < the focus of many experimental \cite{Yeo, Hopster:1978, Ertl:1977, Kelemen:1979}
270 < and theoretical studies \cite{Beurden:2002ys,Pons:1986,Deshlahra:2009,Feibelman:2001,Mason:2004}
271 < there is a large amount of data in the literature to fit too. We started with parameters
272 < reported by Korzeniewski et al. \cite{Pons:1986} and then
273 < modified them to ensure that the Pt-CO interaction favored
274 < an atop binding position for the CO upon the Pt surface. This
275 < constraint led to the binding energies being on the higher side
276 < of reported values. Following the method laid out by Korzeniewski,
277 < the Pt-C interaction was fit to a strong Lennard-Jones 12-6
278 < interaction to mimic binding, while the Pt-O interaction
279 < was parameterized to a Morse potential with a large $r_o$
280 < to contribute a weak repulsion. The resultant potential-energy
281 < surface suitably recovers the calculated Pt-C bond length ( 1.6\AA)\cite{Beurden:2002ys} and affinity
282 < for the atop binding position.\cite{Deshlahra:2012, Hopster:1978}
266 > Since the adsorption of CO onto a Pt surface has been the focus
267 > of much experimental \cite{Yeo, Hopster:1978, Ertl:1977, Kelemen:1979}
268 > and theoretical work
269 > \cite{Beurden:2002ys,Pons:1986,Deshlahra:2009,Feibelman:2001,Mason:2004}
270 > there is a significant amount of data on adsorption energies for CO on
271 > clean metal surfaces. An earlier model by Korzeniewski {\it et
272 >  al.}\cite{Pons:1986} served as a starting point for our fits. The parameters were
273 > modified to ensure that the Pt-CO interaction favored the atop binding
274 > position on Pt(111). These parameters are reproduced in Table~\ref{tab:co_parameters}.
275 > The modified parameters yield binding energies that are slightly higher
276 > than the experimentally-reported values as shown in Table~\ref{tab:co_energies}. Following Korzeniewski
277 > {\it et al}.,\cite{Pons:1986} the Pt-C interaction was fit to a deep
278 > Lennard-Jones interaction to mimic strong, but short-ranged, partial
279 > binding between the Pt $d$ orbitals and the $\pi^*$ orbital on CO. The
280 > Pt-O interaction was modeled with a Morse potential with a large
281 > equilibrium distance, ($r_o$).  These choices ensure that the C is preferred
282 > over O as the surface-binding atom. In most geometries, the Pt-O parameterization contributes a weak
283 > repulsion which favors the atop site.  The resulting potential-energy
284 > surface suitably recovers the calculated Pt-C separation length
285 > (1.6~\AA)\cite{Beurden:2002ys} and affinity for the atop binding
286 > position.\cite{Deshlahra:2012, Hopster:1978}
287  
288   %where did you actually get the functionals for citation?
289   %scf calculations, so initial relaxation was of the four layers, but two layers weren't kept fixed, I don't think
290   %same cutoff for slab and slab + CO ? seems low, although feibelmen had values around there...
291 < The Au-C and Au-O interaction parameters were also fit to a Lennard-Jones
292 < and Morse potential respectively, to reproduce Au-CO binding energies.
293 < These energies were obtained from quantum calculations carried out using
294 < the PBE GGA exchange-correlation functionals\cite{Perdew_GGA} for gold, carbon, and oxygen
295 < constructed by Rappe, Rabe, Kaxiras, and Joannopoulos. \cite{RRKJ_PP}.
296 < All calculations were run using the {\sc Quantum ESPRESSO} package. \cite{QE-2009}  
297 < First, a four layer slab of gold comprised of 32 atoms displaying a (111) surface was
298 < converged using a 4X4X4 grid of Monkhorst-Pack \emph{k}-points.\cite{Monkhorst:1976}
299 < The kinetic energy of the wavefunctions were truncated at 20 Ry while the
300 < cutoff for the charge density and potential was set at 80 Ry. This relaxed
301 < gold slab was then used in numerous single point calculations  with CO at various heights
302 < to create a potential energy surface for the Au-CO interaction.
291 > The Au-C and Au-O cross-interactions were also fit using Lennard-Jones and
292 > Morse potentials, respectively, to reproduce Au-CO binding energies.
293 > The limited experimental data for CO adsorption on Au required refining the fits against plane-wave DFT calculations.
294 > Adsorption energies were obtained from gas-surface DFT calculations with a
295 > periodic supercell plane-wave basis approach, as implemented in the
296 > {\sc Quantum ESPRESSO} package.\cite{QE-2009} Electron cores were
297 > described with the projector augmented-wave (PAW)
298 > method,\cite{PhysRevB.50.17953,PhysRevB.59.1758} with plane waves
299 > included to an energy cutoff of 20 Ry. Electronic energies are
300 > computed with the PBE implementation of the generalized gradient
301 > approximation (GGA) for gold, carbon, and oxygen that was constructed
302 > by Rappe, Rabe, Kaxiras, and Joannopoulos.\cite{Perdew_GGA,RRKJ_PP}
303 > In testing the Au-CO interaction, Au(111) supercells were constructed of four layers of 4
304 > Au x 2 Au surface planes and separated from vertical images by six
305 > layers of vacuum space. The surface atoms were all allowed to relax
306 > before CO was added to the system. Electronic relaxations were
307 > performed until the energy difference between subsequent steps
308 > was less than $10^{-8}$ Ry.   Nonspin-polarized supercell calculations
309 > were performed with a 4~x~4~x~4 Monkhorst-Pack {\bf k}-point sampling of the first Brillouin
310 > zone.\cite{Monkhorst:1976} The relaxed gold slab was
311 > then used in numerous single point calculations with CO at various
312 > heights (and angles relative to the surface) to allow fitting of the
313 > empirical force field.
314  
315   %Hint at future work
316 < The fit parameter sets employed in this work are shown in Table 2 and their
317 < reproduction of the binding energies are displayed in Table 3. Currently,
318 < charge transfer is not being treated in this system, however, that is a goal
319 < for future work as the effect has been seen to affect binding energies and
320 < binding site preferences. \cite{Deshlahra:2012}
316 > The parameters employed for the metal-CO cross-interactions in this work
317 > are shown in Table~\ref{tab:co_parameters} and the binding energies on the
318 > (111) surfaces are displayed in Table~\ref{tab:co_energies}.  Charge transfer
319 > and polarization are neglected in this model, although these effects could have
320 > an effect on  binding energies and binding site preferences.
321  
268
269
270
271 \subsection{Construction and Equilibration of 557 Metal interfaces}
272
273 Our model systems are composed of approximately 4000 metal atoms
274 cut along the 557 plane so that they are periodic in the {\it x} and {\it y}
275 directions exposing the 557 plane in the {\it z} direction. Runs at various
276 temperatures ranging from 300~K to 1200~K were started with the intent
277 of viewing relative stability of the surface when CO was not present in the
278 system.  Owing to the different melting points (1337~K for Au and 2045~K for Pt),
279 the bare crystal systems were initially run in the Canonical ensemble at
280 800~K and 1000~K respectively for 100 ps. Various amounts of CO were
281 placed in the vacuum region, which upon full adsorption to the surface
282 corresponded to 5\%, 25\%, 33\%, and 50\% coverages. These systems
283 were again allowed to reach thermal equilibrium before being run in the
284 microcanonical ensemble. All of the systems examined in this work were
285 run for at least 40 ns. A subset that were undergoing interesting effects
286 have been allowed to continue running with one system approaching 200 ns.
287 All simulations were run using the open source molecular dynamics package, OpenMD. \cite{Ewald, OOPSE}
288
289
290
291
292
293
294 %\subsection{System}
295 %Once equilibration was reached, the systems were exposed to various sub-monolayer coverage of CO: $0, \frac{1}{10}, \frac{1}{4}, \frac{1}{3},\frac{1}{2}$. The CO was started many \AA~above the surface with random velocity and rotational velocity vectors sampling from a Gaussian distribution centered on the temperature of the equilibrated metal block.  Full adsorption occurred over the period of approximately 10 ps for Pt, while the binding energy between Au and CO is smaller and led to an incomplete adsorption. The metal-metal interactions were treated using the Embedded Atom Method while the Pt-CO and Au-CO interactions were fit to experimental data and quantum calculations. The raised temperature helped shorten the length of the simulations by allowing the activation barrier of reconstruction to be more easily overcome. A few runs at lower temperatures showed the very beginnings of reconstructions, but their simulation lengths limited their usefulness.
296
297
322   %Table  of Parameters
323   %Pt Parameter Set 9
324   %Au Parameter Set 35
325   \begin{table}[H]
326 < \caption{Best fit parameters for metal-adsorbate interactions. Distances are in \AA~and energies are in kcal/mol}
326 >  \caption{Best fit parameters for metal-CO cross-interactions. Metal-C
327 >    interactions are modeled with Lennard-Jones potentials. While the
328 >    metal-O interactions were fit to Morse
329 >    potentials.  Distances are given in \AA~and energies in kcal/mol. }
330   \centering
331   \begin{tabular}{| c | cc | c | ccc |}
332   \hline
333 < \multicolumn{7}{| c |}{\textbf{Cross-Interactions} }\\
333 > &  $\sigma$ & $\epsilon$ & & $r$ & $D$ & $\gamma$ (\AA$^{-1}$) \\
334   \hline
308 &  $\sigma$ & $\epsilon$ & & $r$ & $D$ & $\gamma$ \\
309 \hline
335   \textbf{Pt-C} & 1.3 & 15  & \textbf{Pt-O} & 3.8 & 3.0 & 1 \\
336   \textbf{Au-C} & 1.9 & 6.5  & \textbf{Au-O} & 3.8 & 0.37 & 0.9\\
337  
338   \hline
339   \end{tabular}
340 + \label{tab:co_parameters}
341   \end{table}
342  
343   %Table of energies
344   \begin{table}[H]
345 < \caption{Adsorption energies in eV}
345 >  \caption{Adsorption energies for a single CO at the atop site on M(111) at the atop site using the potentials
346 >    described in this work.  All values are in eV.}
347   \centering
348   \begin{tabular}{| c | cc |}
349 < \hline
350 < & Calc. & Exp. \\
351 < \hline
352 < \textbf{Pt-CO} & -1.9 & -1.4~\cite{Kelemen:1979}-- -1.9~\cite{Yeo} \\
353 < \textbf{Au-CO} & -0.39 & -0.44~\cite{TPD_Gold_CO} \\
354 < \hline
349 >  \hline
350 >  & Calculated & Experimental \\
351 >  \hline
352 >  \multirow{2}{*}{\textbf{Pt-CO}} & \multirow{2}{*}{-1.9} & -1.4 \bibpunct{}{}{,}{n}{}{,}
353 >  (Ref. \protect\cite{Kelemen:1979}) \\
354 > & &  -1.9 \bibpunct{}{}{,}{n}{}{,} (Ref. \protect\cite{Yeo}) \\ \hline
355 >  \textbf{Au-CO} & -0.39 & -0.40 \bibpunct{}{}{,}{n}{}{,}  (Ref. \protect\cite{TPDGold}) \\
356 >  \hline
357   \end{tabular}
358 + \label{tab:co_energies}
359   \end{table}
360  
361 + \subsection{Pt(557) and Au(557) metal interfaces}
362 + Our Pt system is an orthorhombic periodic box of dimensions
363 + 54.482~x~50.046~x~120.88~\AA~while our Au system has
364 + dimensions of 57.4~x~51.9285~x~100~\AA. The metal slabs
365 + are 9 and 8 atoms deep respectively, corresponding to a slab
366 + thickness of $\sim$21~\AA~ for Pt and $\sim$19~\AA~for Au.
367 + The systems are arranged in a FCC crystal that have been cut
368 + along the (557) plane so that they are periodic in the {\it x} and
369 + {\it y} directions, and have been oriented to expose two aligned
370 + (557) cuts along the extended {\it z}-axis.  Simulations of the
371 + bare metal interfaces at temperatures ranging from 300~K to
372 + 1200~K were performed to confirm the relative
373 + stability of the surfaces without a CO overlayer.  
374  
375 + The different bulk melting temperatures predicted by EAM (1345~$\pm$~10~K for Au\cite{Au:melting}
376 + and $\sim$~2045~K for Pt\cite{Pt:melting}) suggest that any possible reconstruction should happen at
377 + different temperatures for the two metals.  The bare Au and Pt surfaces were
378 + initially run in the canonical (NVT) ensemble at 800~K and 1000~K
379 + respectively for 100 ps. The two surfaces were relatively stable at these
380 + temperatures when no CO was present, but experienced increased surface
381 + mobility on addition of CO. Each surface was then dosed with different concentrations of CO
382 + that was initially placed in the vacuum region.  Upon full adsorption,
383 + these concentrations correspond to 0\%, 5\%, 25\%, 33\%, and 50\% surface
384 + coverage. Higher coverages resulted in the formation of a double layer of CO,
385 + which introduces artifacts that are not relevant to (557) reconstruction.
386 + Because of the difference in binding energies, nearly all of the CO was bound to the Pt surface, while
387 + the Au surfaces often had a significant CO population in the gas
388 + phase.  These systems were allowed to reach thermal equilibrium (over
389 + 5~ns) before being run in the microcanonical (NVE) ensemble for
390 + data collection. All of the systems examined had at least 40~ns in the
391 + data collection stage, although simulation times for some Pt of the
392 + systems exceeded 200~ns.  Simulations were carried out using the open
393 + source molecular dynamics package, OpenMD.\cite{Ewald,OOPSE,openmd}
394  
395  
396  
397  
398 < % Just results, leave discussion for discussion section
398 > % RESULTS
399 > %
400   \section{Results}
401 < \subsection{Diffusion}
402 < While an ideal metallic surface is unlikely to experience much surface diffusion, high-index surfaces have large numbers of low-coordinated atoms which have a much easier time overcoming the energetic barriers limiting diffusion, leading to easier surface reconstructions. Surface movement was divided between the parallel ($\parallel$) and perpendicular ($\perp$) directions relative to the step edge. We were then able to calculate diffusion constants as a function of CO coverage. As can be seen in Table 4, the presence and amount of CO directly affects the diffusion constants of surface platinum atoms. The presence of two 50\% coverage systems is to show how the diffusion process is affected by time. The majority of the systems were run for approximately 50 ns while the half monolayer system been running continuously. The lowered diffusion constant at longer run times will be examined in-depth in the discussion section.
401 > \subsection{Structural remodeling}
402 > The bare metal surfaces experienced minor roughening of the
403 > step-edge because of the elevated temperatures, but the (557)
404 > face was stable throughout the simulations. The surface of both
405 > systems, upon dosage of CO, began to undergo extensive remodeling
406 > that was not observed in the bare systems. Reconstructions of
407 > the Au systems were limited to breakup of the step-edges and
408 > some step wandering. The lower coverage Pt systems experienced
409 > similar restructuring but to a greater extent. The 50\% coverage
410 > Pt system was unique among our simulations in that it formed
411 > well-defined and stable double layers through step coalescence,
412 > similar to results reported by Tao {\it et al}.\cite{Tao:2010}
413  
414 < %Table of Diffusion Constants
415 < %Add gold?M
416 < \begin{table}[H]
417 < \caption{Platinum and gold diffusion constants parallel and perpendicular to the 557 step edge. As the coverage increases, the diffusion constants parallel and  perpendicular to the step edge both initially increase and then decrease slightly. Units are \AA\textsuperscript{2}/ns}
418 < \centering
419 < \begin{tabular}{| c | cc | cc | c |}
420 < \hline
421 < \textbf{System Coverage} & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$ & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$  & \textbf{Time (ns)}\\
422 < \hline
423 < &\multicolumn{2}{c|}{\textbf{Platinum}}&\multicolumn{2}{c|}{\textbf{Gold}} & \\
424 < \hline
425 < 50\% & 4.32 $\pm$ 0.02 & 1.185 $\pm$ 0.008 & 1.72 $\pm$ 0.02 & 0.455 $\pm$ 0.006 & 40 \\
426 < 33\% & 5.18 $\pm$ 0.03 & 1.999 $\pm$ 0.005 & 1.95 $\pm$ 0.02 & 0.337 $\pm$ 0.004 & 40   \\
427 < 25\% & 5.01 $\pm$ 0.02 & 1.574 $\pm$ 0.004 & 1.26 $\pm$ 0.03 & 0.377 $\pm$ 0.006 & 40  \\
428 < 5\%   & 3.61 $\pm$ 0.02 & 0.355 $\pm$ 0.002 & 1.84 $\pm$ 0.03 & 0.169 $\pm$ 0.004 & 40  \\
429 < 0\%   & 3.27 $\pm$ 0.02 & 0.147 $\pm$ 0.004 & 1.50 $\pm$ 0.02 & 0.194 $\pm$ 0.002  & 40  \\
430 < \hline
431 < \end{tabular}
432 < \end{table}
414 >
415 > \subsubsection{Step wandering}
416 > The 0\% coverage surfaces for both metals showed minimal
417 > step-wandering at their respective temperatures. As the CO
418 > coverage increased however, the mobility of the surface atoms,
419 > described through adatom diffusion and step-edge wandering,
420 > also increased.  Except for the 50\% Pt system where step
421 > coalescence occurred, the step-edges in the other simulations
422 > preferred to keep nearly the same distance between steps as in
423 > the original (557) lattice, $\sim$13\AA~for Pt and $\sim$14\AA~for Au.
424 > Previous work by Williams {\it et al}.\cite{Williams:1991, Williams:1994}
425 > highlights the repulsion that exists between step-edges even
426 > when no direct interactions are present in the system. This
427 > repulsion is caused by an entropic barrier that arises from
428 > the fact that steps cannot cross over one another. This entropic
429 > repulsion does not completely define the interactions between
430 > steps, however, so it is possible to observe step coalescence
431 > on some surfaces.\cite{Williams:1991} The presence and
432 > concentration of adsorbates, as shown in this work, can
433 > affect step-step interactions, potentially leading to a new
434 > surface structure as the thermodynamic equilibrium.
435  
436 + \subsubsection{Double layers}
437 + Tao {\it et al}.\cite{Tao:2010} have shown experimentally that the Pt(557) surface
438 + undergoes two separate reconstructions upon CO adsorption.
439 + The first involves a doubling of the step height and plateau length.
440 + Similar behavior has been seen on a number of surfaces
441 + at varying conditions, including Ni(977) and Si(111).\cite{Williams:1994,Williams:1991,Pearl}
442 + Of the two systems we examined, the Pt system showed a greater
443 + propensity for reconstruction  
444 + because of the larger surface mobility and the greater extent of step wandering.
445 + The amount of reconstruction was strongly correlated to the amount of CO
446 + adsorbed upon the surface.  This appears to be related to the
447 + effect that adsorbate coverage has on edge breakup and on the
448 + surface diffusion of metal adatoms. Only the 50\% Pt surface underwent the
449 + doubling seen by Tao {\it et al}.\cite{Tao:2010} within the time scales studied here.
450 + Over a longer time scale (150~ns) two more double layers formed
451 + on this surface. Although double layer formation did not occur
452 + in the other Pt systems, they exhibited more step-wandering and
453 + roughening compared to their Au counterparts. The
454 + 50\% Pt system is highlighted in Figure \ref{fig:reconstruct} at
455 + various times along the simulation showing the evolution of a double layer step-edge.
456  
457 + The second reconstruction observed by
458 + Tao {\it et al}.\cite{Tao:2010} involved the formation of triangular clusters that stretched
459 + across the plateau between two step-edges. Neither metal, within
460 + the 40~ns time scale or the extended simulation time of 150~ns for
461 + the 50\% Pt system, experienced this reconstruction.
462  
463 + %Evolution of surface
464 + \begin{figure}[H]
465 + \includegraphics[width=\linewidth]{EPS_ProgressionOfDoubleLayerFormation}
466 + \caption{The Pt(557) / 50\% CO system at a sequence of times after
467 +  initial exposure to the CO: (a) 258~ps, (b) 19~ns, (c) 31.2~ns, and
468 +  (d) 86.1~ns. Disruption of the (557) step-edges occurs quickly.  The
469 +  doubling of the layers appears only after two adjacent step-edges
470 +  touch.  The circled spot in (b) nucleated the growth of the double
471 +  step observed in the later configurations.}
472 +  \label{fig:reconstruct}
473 + \end{figure}
474 +
475 + \subsection{Dynamics}
476 + Previous experimental work by Pearl and Sibener\cite{Pearl},
477 + using STM, has been able to capture the coalescence of steps
478 + on Ni(977). The time scale of the image acquisition, $\sim$70~s/image,
479 + provides an upper bound for the time required for the doubling
480 + to occur. By utilizing Molecular Dynamics we are able to probe
481 + the dynamics of these reconstructions at elevated temperatures
482 + and in this section we provide data on the timescales for transport
483 + properties, e.g. diffusion and layer formation time.
484 +
485 +
486 + \subsubsection{Transport of surface metal atoms}
487 + %forcedSystems/stepSeparation
488 + The wandering of a step-edge is a cooperative effect
489 + arising from the individual movements of the atoms making up the steps. An ideal metal surface
490 + displaying a low index facet, (111) or (100), is unlikely to experience
491 + much surface diffusion because of the large energetic barrier that must
492 + be overcome to lift an atom out of the surface. The presence of step-edges and other surface features
493 + on higher-index facets provides a lower energy source for mobile metal atoms.
494 + Single-atom break-away from a step-edge on a clean surface still imposes an
495 + energetic penalty around $\sim$~45 kcal/mol, but this is easier than lifting
496 + the same metal atom vertically out of the surface,  \textgreater~60 kcal/mol.
497 + The penalty lowers significantly when CO is present in sufficient quantities
498 + on the surface. For certain distributions of CO, see Discussion, the penalty can fall to as low as
499 + $\sim$~20 kcal/mol. Once an adatom exists on the surface, the barrier for
500 + diffusion is negligible (\textless~4 kcal/mol for a Pt adatom). These adatoms are then
501 + able to explore the terrace before rejoining either their original step-edge or
502 + becoming a part of a different edge. It is an energetically unfavorable process with a high barrier for an atom
503 + to traverse to a separate terrace although the presence of CO can lower the
504 + energy barrier required to lift or lower an adatom. By tracking the mobility of individual
505 + metal atoms on the Pt and Au surfaces we were able to determine the relative
506 + diffusion constants, as well as how varying coverages of CO affect the diffusion. Close
507 + observation of the mobile metal atoms showed that they were typically in
508 + equilibrium with the step-edges.
509 + At times, their motion was concerted and two or more adatoms would be
510 + observed moving together across the surfaces.
511 +
512 + A particle was considered ``mobile'' once it had traveled more than 2~\AA~
513 + between saved configurations of the system (typically 10-100 ps). A mobile atom
514 + would typically travel much greater distances than this, but the 2~\AA~cutoff
515 + was used to prevent swamping the diffusion data with the in-place vibrational
516 + movement of buried atoms. Diffusion on a surface is strongly affected by
517 + local structures and in this work, the presence of single and double layer
518 + step-edges causes the diffusion parallel to the step-edges to be larger than
519 + the diffusion perpendicular to these edges. Parallel and perpendicular
520 + diffusion constants are shown in Figure \ref{fig:diff}.
521 +
522 + %Diffusion graph
523 + \begin{figure}[H]
524 + \includegraphics[width=\linewidth]{Portrait_DiffusionComparison_1}
525 + \caption{Diffusion constants for mobile surface atoms along directions
526 +  parallel ($\mathbf{D}_{\parallel}$) and perpendicular
527 +  ($\mathbf{D}_{\perp}$) to the (557) step-edges as a function of CO
528 +  surface coverage.  Diffusion parallel to the step-edge is higher
529 +  than that perpendicular to the edge because of the lower energy
530 +  barrier associated with traversing along the edge as compared to
531 +  completely breaking away. The two reported diffusion constants for
532 +  the 50\% Pt system arise from different sample sets. The lower values
533 +  correspond to the same 40~ns amount that all of the other systems were
534 +  examined at, while the larger values correspond to a 20~ns period }
535 + \label{fig:diff}
536 + \end{figure}
537 +
538 + The weaker Au-CO interaction is evident in the weak CO-coverage
539 + dependance of Au diffusion. This weak interaction leads to lower
540 + observed coverages when compared to dosage amounts. This further
541 + limits the effect the CO can have on surface diffusion. The correlation
542 + between coverage and Pt diffusion rates shows a near linear relationship
543 + at the earliest times in the simulations. Following double layer formation,
544 + however, there is a precipitous drop in adatom diffusion. As the double
545 + layer forms, many atoms that had been tracked for mobility data have
546 + now been buried resulting in a smaller reported diffusion constant. A
547 + secondary effect of higher coverages is CO-CO cross interactions that
548 + lower the effective mobility of the Pt adatoms that are bound to each CO.
549 + This effect would become evident only at higher coverages. A detailed
550 + account of Pt adatom energetics follows in the Discussion.
551 +
552 +
553 + \subsubsection{Dynamics of double layer formation}
554 + The increased diffusion on Pt at the higher CO coverages is the primary
555 + contributor to double layer formation. However, this is not a complete
556 + explanation -- the 33\%~Pt system has higher diffusion constants, but
557 + did not show any signs of edge doubling in 40~ns. On the 50\%~Pt
558 + system, one double layer formed within the first 40~ns of simulation time,
559 + while two more were formed as the system was allowed to run for an
560 + additional 110~ns (150~ns total). This suggests that this reconstruction
561 + is a rapid process and that the previously mentioned upper bound is a
562 + very large overestimate.\cite{Williams:1991,Pearl} In this system the first
563 + appearance of a double layer appears at 19~ns into the simulation.
564 + Within 12~ns of this nucleation event, nearly half of the step has formed
565 + the double layer and by 86~ns the complete layer has flattened out.
566 + From the appearance of the first nucleation event to the first observed
567 + double layer, the process took $\sim$20~ns. Another $\sim$40~ns was
568 + necessary for the layer to completely straighten. The other two layers in
569 + this simulation formed over periods of 22~ns and 42~ns respectively.
570 + A possible explanation for this rapid reconstruction is the elevated
571 + temperatures under which our systems were simulated. The process
572 + would almost certainly take longer at lower temperatures. Additionally,
573 + our measured times for completion of the doubling after the appearance
574 + of a nucleation site are likely affected by our periodic boxes. A longer
575 + step-edge will likely take longer to ``zipper''.
576 +
577 +
578   %Discussion
579   \section{Discussion}
580 < Comparing the results from simulation to those reported previously by Tao et al. the similarities in the platinum and CO system are quite strong. As shown in figure 1, the simulated platinum system under a CO atmosphere will restructure slightly by doubling the terrace heights. The restructuring appears to occur slowly, one to two platinum atoms at a time. Looking at individual snapshots, these adatoms tend to either rise on top of the plateau or break away from the step edge and then diffuse perpendicularly to the step direction until reaching another step edge. This combination of growth and decay of the step edges appears to be in somewhat of a state of dynamic equilibrium. However, once two previously separated edges meet as shown in figure 1.B, this point tends to act as a focus or growth point for the rest of the edge to meet up, akin to that of a zipper. From the handful of cases where a double layer was formed during the simulation. Measuring from the initial appearance of a growth point, the double layer tends to be fully formed within $\sim$~35 ns.
580 > We have shown that a classical potential is able to model the initial
581 > reconstruction of the Pt(557) surface upon CO adsorption, and have
582 > reproduced the double layer structure observed by Tao {\it et
583 >  al}.\cite{Tao:2010}. Additionally, this reconstruction appears to be
584 > rapid -- occurring within 100 ns of the initial exposure to CO.  Here
585 > we discuss the features of the classical potential that are
586 > contributing to the stability and speed of the Pt(557) reconstruction.
587  
588   \subsection{Diffusion}
589 < As shown in the results section, the diffusion parallel to the step edge tends to be much faster than that perpendicular to the step edge. Additionally, the coverage of CO appears to play a slight role in relative rates of diffusion, as shown in Table 4. Thus, the bottleneck of the double layer formation appears to be the initial formation of this growth point, which seems to be somewhat of a stochastic event. Once it appears, parallel diffusion, along the now slightly angled step edge, will allow for a faster formation of the double layer than if the entire process were dependent on only perpendicular diffusion across the plateaus. Thus, the larger $D_{\perp}$, the more likely a growth point is to be formed. One driving force behind this reconstruction appears to be the lowering of surface energy that occurs by doubling the terrace widths. (I'm not really proving this... I have the surface flatness to show it, but surface energy?)
590 < \\
591 < \\
592 < %Evolution of surface
589 > The perpendicular diffusion constant appears to be the most important
590 > indicator of double layer formation. As highlighted in Figure
591 > \ref{fig:reconstruct}, the formation of the double layer did not begin
592 > until a nucleation site appeared.  Williams {\it et
593 >  al}.\cite{Williams:1991,Williams:1994} cite an effective edge-edge
594 > repulsion arising from the inability of edge crossing.  This repulsion
595 > must be overcome to allow step coalescence.  A larger
596 > $\textbf{D}_\perp$ value implies more step-wandering and a larger
597 > chance for the stochastic meeting of two edges to create a nucleation
598 > point.  Diffusion parallel to the step-edge can help ``zipper'' up a
599 > nascent double layer. This helps explain the rapid time scale for
600 > double layer completion after the appearance of a nucleation site, while
601 > the initial appearance of the nucleation site was unpredictable.
602 >
603 > \subsection{Mechanism for restructuring}
604 > Since the Au surface showed no large scale restructuring in any of our
605 > simulations, our discussion will focus on the 50\% Pt-CO system which
606 > did exhibit doubling. A number of possible mechanisms exist to explain
607 > the role of adsorbed CO in restructuring the Pt surface. Quadrupolar
608 > repulsion between adjacent CO molecules adsorbed on the surface is one
609 > possibility.  However, the quadrupole-quadrupole interaction is
610 > short-ranged and is attractive for some orientations.  If the CO
611 > molecules are ``locked'' in a vertical orientation, through atop
612 > adsorption for example, this explanation would gain credence. The
613 > calculated energetic repulsion between two CO molecules located a
614 > distance of 2.77~\AA~apart (nearest-neighbor distance of Pt) and both
615 > in a vertical orientation, is 8.62 kcal/mol. Moving the CO to the
616 > second nearest-neighbor distance of 4.8~\AA~drops the repulsion to
617 > nearly 0. Allowing the CO to rotate away from a purely vertical
618 > orientation also lowers the repulsion. When the carbons are locked at
619 > a distance of 2.77~\AA, a minimum of 6.2 kcal/mol is reached when the
620 > angle between the 2 CO is $\sim$24\textsuperscript{o}.  The calculated
621 > barrier for surface diffusion of a Pt adatom is only 4 kcal/mol, so
622 > repulsion between adjacent CO molecules bound to Pt could increase the
623 > surface diffusion. However, the residence time of CO on Pt suggests
624 > that the CO molecules are extremely mobile, with diffusion constants 40
625 > to 2500 times larger than surface Pt atoms. This mobility suggests
626 > that the CO molecules jump between different Pt atoms throughout the
627 > simulation, but can stay bound for significant periods of time.
628 >
629 > A different interpretation of the above mechanism which takes the
630 > large mobility of the CO into account, would be in the destabilization
631 > of Pt-Pt interactions due to bound CO.  Destabilizing Pt-Pt bonds at
632 > the edges could lead to increased step-edge breakup and diffusion. On
633 > the bare Pt(557) surface the barrier to completely detach an edge atom
634 > is $\sim$43~kcal/mol, as is shown in configuration (a) in Figures
635 > \ref{fig:SketchGraphic} \& \ref{fig:SketchEnergies}. For certain
636 > configurations, cases (e), (g), and (h), the barrier can be lowered to
637 > $\sim$23~kcal/mol by the presence of bound CO molecules. In these
638 > instances, it becomes energetically favorable to roughen the edge by
639 > introducing a small separation of 0.5 to 1.0~\AA. This roughening
640 > becomes immediately obvious in simulations with significant CO
641 > populations. The roughening is present to a lesser extent on surfaces
642 > with lower CO coverage (and even on the bare surfaces), although in
643 > these cases it is likely due to random fluctuations that squeeze out
644 > step-edge atoms. Step-edge breakup by continuous single-atom
645 > translations (as suggested by these energy curves) is probably a
646 > worst-case scenario.  Multistep mechanisms in which an adatom moves
647 > laterally on the surface after being ejected would be more
648 > energetically favorable.  This would leave the adatom alongside the
649 > ledge, providing it with 5 nearest neighbors.  While fewer than the 7
650 > neighbors it had as part of the step-edge, it keeps more Pt neighbors
651 > than the 3 an isolated adatom would have on the terrace. In this
652 > proposed mechanism, the CO quadrupolar repulsion still plays a role in
653 > the initial roughening of the step-edge, but not in any long-term
654 > bonds with individual Pt atoms.  Higher CO coverages create more
655 > opportunities for the crowded CO configurations shown in Figure
656 > \ref{fig:SketchGraphic}, and this is likely to cause an increased
657 > propensity for step-edge breakup.
658 >
659 > %Sketch graphic of different configurations
660   \begin{figure}[H]
661 < \includegraphics[scale=0.5]{ProgressionOfDoubleLayerFormation_yellowCircle.png}
662 < \caption{Four snapshots at various times a) 258 ps b) 19 ns c) 31.2 ns d) 86.1 ns. Slight disruption of the surface occurs fairly quickly. However, the doubling of the layers seems to be very dependent on the initial linking of two separate step edges. The focal point in b, appears to be a growth spot for the rest of the double layer.}
661 > \includegraphics[width=\linewidth]{COpaths}
662 > \caption{Configurations used to investigate the mechanism of step-edge
663 >  breakup on Pt(557). In each case, the central (starred) atom is
664 >  pulled directly across the surface away from the step edge.  The Pt
665 >  atoms on the upper terrace are colored dark grey, while those on the
666 >  lower terrace are in white.  In each of these configurations, some
667 >  number of the atoms (highlighted in blue) had a CO molecule bound in
668 >  a vertical atop position.  The energies of these configurations as a
669 >  function of central atom displacement are displayed in Figure
670 >  \ref{fig:SketchEnergies}.}
671 > \label{fig:SketchGraphic}
672   \end{figure}
673  
674 + %energy graph corresponding to sketch graphic
675 + \begin{figure}[H]
676 + \includegraphics[width=\linewidth]{Portrait_SeparationComparison}
677 + \caption{Energies for displacing a single edge atom perpendicular to
678 +  the step edge as a function of atomic displacement. Each of the
679 +  energy curves corresponds to one of the labeled configurations in
680 +  Figure \ref{fig:SketchGraphic}, and are referenced to the
681 +  unperturbed step-edge.  Certain arrangements of bound CO (notably
682 +  configurations g and h) can lower the energetic barrier for creating
683 +  an adatom relative to the bare surface (configuration a).}
684 + \label{fig:SketchEnergies}
685 + \end{figure}
686  
687 + While configurations of CO on the surface are able to increase
688 + diffusion and the likelihood of edge wandering, this does not provide
689 + a complete explanation for the formation of double layers. If adatoms
690 + were constrained to their original terraces then doubling could not
691 + occur.  A mechanism for vertical displacement of adatoms at the
692 + step-edge is required to explain the doubling.
693  
694 + We have discovered one possible mechanism for a CO-mediated vertical
695 + displacement of Pt atoms at the step edge. Figure \ref{fig:lambda}
696 + shows four points along a reaction coordinate in which a CO-bound
697 + adatom along the step-edge ``burrows'' into the edge and displaces the
698 + original edge atom onto the higher terrace. A number of events similar
699 + to this mechanism were observed during the simulations.  We predict an
700 + energetic barrier of 20~kcal/mol for this process (in which the
701 + displaced edge atom follows a curvilinear path into an adjacent 3-fold
702 + hollow site).  The barrier heights we obtain for this reaction
703 + coordinate are approximate because the exact path is unknown, but the
704 + calculated energy barriers would be easily accessible at operating
705 + conditions.  Additionally, this mechanism is exothermic, with a final
706 + energy 15~kcal/mol below the original $\lambda = 0$ configuration.
707 + When CO is not present and this reaction coordinate is followed, the
708 + process is endothermic by 3~kcal/mol.  The difference in the relative
709 + energies for the $\lambda=0$ and $\lambda=1$ case when CO is present
710 + provides strong support for CO-mediated Pt-Pt interactions giving rise
711 + to the doubling reconstruction.
712  
713 + %lambda progression of Pt -> shoving its way into the step
714 + \begin{figure}[H]
715 + \includegraphics[width=\linewidth]{EPS_rxnCoord}
716 + \caption{Points along a possible reaction coordinate for CO-mediated
717 +  edge doubling. Here, a CO-bound adatom burrows into an established
718 +  step edge and displaces an edge atom onto the upper terrace along a
719 +  curvilinear path.  The approximate barrier for the process is
720 +  20~kcal/mol, and the complete process is exothermic by 15~kcal/mol
721 +  in the presence of CO, but is endothermic by 3~kcal/mol without.}
722 + \label{fig:lambda}
723 + \end{figure}
724 +
725 + The mechanism for doubling on the Pt(557) surface appears to require
726 + the cooperation of at least two distinct processes. For complete
727 + doubling of a layer to occur there must be a breakup of one
728 + terrace. These atoms must then ``disappear'' from that terrace, either
729 + by travelling to the terraces above of below their original levels.
730 + The presence of CO helps explain mechanisms for both of these
731 + situations. There must be sufficient breakage of the step-edge to
732 + increase the concentration of adatoms on the surface and these adatoms
733 + must then undergo the burrowing highlighted above (or a comparable
734 + mechanism) to create the double layer.  With sufficient time, these
735 + mechanisms working in concert lead to the formation of a double layer.
736 +
737 + \subsection{CO Removal and double layer stability}
738 + Once a double layer had formed on the 50\%~Pt system, it remained for
739 + the rest of the simulation time with minimal movement.  Random
740 + fluctuations that involved small clusters or divots were observed, but
741 + these features typically healed within a few nanoseconds.  Within our
742 + simulations, the formation of the double layer appeared to be
743 + irreversible and a double layer was never observed to split back into
744 + two single layer step-edges while CO was present.
745 +
746 + To further gauge the effect CO has on this surface, additional
747 + simulations were run starting from a late configuration of the 50\%~Pt
748 + system that had already formed double layers. These simulations then
749 + had their CO forcibly removed.  The double layer broke apart rapidly
750 + in these simulations, showing a well-defined edge-splitting after
751 + 100~ps. Configurations of this system are shown in Figure
752 + \ref{fig:breaking}. The coloring of the top and bottom layers helps to
753 + exhibit how much mixing the edges experience as they split. These
754 + systems were only examined for 10~ns, and within that time despite the
755 + initial rapid splitting, the edges only moved another few
756 + \AA~apart. It is possible that with longer simulation times, the (557)
757 + surface recovery observed by Tao {\it et al}.\cite{Tao:2010} could
758 + also be recovered.
759 +
760 + %breaking of the double layer upon removal of CO
761 + \begin{figure}[H]
762 + \includegraphics[width=\linewidth]{EPS_doubleLayerBreaking}
763 + \caption{Dynamics of an established (111) double step after removal of
764 +  the adsorbed CO: (A) 0~ps, (B) 100~ps, and (C) 1~ns after the removal
765 +  of CO. The presence of the CO helped maintain the stability of the
766 +  double step.  Nearly immediately after the CO is removed, the step
767 +  edge reforms in a (100) configuration, which is also the step type
768 +  seen on clean (557) surfaces. The step separation involves
769 +  significant mixing of the lower and upper atoms at the edge.}
770 + \label{fig:breaking}
771 + \end{figure}
772 +
773 +
774   %Peaks!
775 < \includegraphics[scale=0.25]{doublePeaks_noCO.png}
775 > %\begin{figure}[H]
776 > %\includegraphics[width=\linewidth]{doublePeaks_noCO.png}
777 > %\caption{At the initial formation of this double layer  ( $\sim$ 37 ns) there is a degree
778 > %of roughness inherent to the edge. The next $\sim$ 40 ns show the edge with
779 > %aspects of waviness and by 80 ns the double layer is completely formed and smooth. }
780 > %\label{fig:peaks}
781 > %\end{figure}
782 >
783 >
784 > %Don't think I need this
785 > %clean surface...
786 > %\begin{figure}[H]
787 > %\includegraphics[width=\linewidth]{557_300K_cleanPDF}
788 > %\caption{}
789 >
790 > %\end{figure}
791 > %\label{fig:clean}
792 >
793 >
794   \section{Conclusion}
795 + The strength and directionality of the Pt-CO binding interaction, as
796 + well as the large quadrupolar repulsion between atop-bound CO
797 + molecules, help to explain the observed increase in surface mobility
798 + of Pt(557) and the resultant reconstruction into a double-layer
799 + configuration at the highest simulated CO-coverages.  The weaker Au-CO
800 + interaction results in significantly lower adataom diffusion
801 + constants, less step-wandering, and a lack of the double layer
802 + reconstruction on the Au(557) surface.
803  
804 + An in-depth examination of the energetics shows the important role CO
805 + plays in increasing step-breakup and in facilitating edge traversal
806 + which are both necessary for double layer formation.
807  
808 < \section{Acknowledgments}
386 < Support for this project was provided by the National Science
387 < Foundation under grant CHE-0848243 and by the Center for Sustainable
388 < Energy at Notre Dame (cSEND). Computational time was provided by the
389 < Center for Research Computing (CRC) at the University of Notre Dame.
808 > %Things I am not ready to remove yet
809  
810 + %Table of Diffusion Constants
811 + %Add gold?M
812 + % \begin{table}[H]
813 + %   \caption{}
814 + %   \centering
815 + % \begin{tabular}{| c | cc | cc | }
816 + %   \hline
817 + %   &\multicolumn{2}{c|}{\textbf{Platinum}}&\multicolumn{2}{c|}{\textbf{Gold}} \\
818 + %   \hline
819 + %   \textbf{Surface Coverage} & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$ & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$  \\
820 + %   \hline
821 + %   50\% & 4.32(2) & 1.185(8)  & 1.72(2) & 0.455(6) \\
822 + %   33\% & 5.18(3)  & 1.999(5)  & 1.95(2) & 0.337(4)   \\
823 + %   25\% & 5.01(2)  & 1.574(4)  & 1.26(3) & 0.377(6) \\
824 + %   5\%   & 3.61(2)  & 0.355(2)  & 1.84(3)  & 0.169(4)  \\
825 + %   0\%   & 3.27(2)  & 0.147(4)  & 1.50(2)  & 0.194(2)   \\
826 + %   \hline
827 + % \end{tabular}
828 + % \end{table}
829 +
830 + \begin{acknowledgement}
831 +  We gratefully acknowledge conversations with Dr. William
832 +  F. Schneider and Dr. Feng Tao.  Support for this project was
833 +  provided by the National Science Foundation under grant CHE-0848243
834 +  and by the Center for Sustainable Energy at Notre Dame
835 +  (cSEND). Computational time was provided by the Center for Research
836 +  Computing (CRC) at the University of Notre Dame.
837 + \end{acknowledgement}
838   \newpage
839   \bibliography{firstTryBibliography}
840 < \end{doublespace}
840 > %\end{doublespace}
841 >
842 > \begin{tocentry}
843 >
844 > \includegraphics[height=2.8cm]{TOC_doubleLayer}
845 >
846 > A reconstructed Pt(557) surface after having been exposed to a dosage of CO equivalent to half a monolayer of coverage.
847 >
848 > \end{tocentry}
849 >
850   \end{document}

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