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Revision 3811 by jmichalk, Thu Dec 13 22:42:37 2012 UTC vs.
Revision 3816 by jmichalk, Sat Dec 15 00:06:33 2012 UTC

# Line 50 | Line 50
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
53 > \author{Joseph R. Michalka, Patrick W. McIntyre and J. Daniel
54   Gezelter\footnote{Corresponding author. \ Electronic mail: gezelter@nd.edu} \\
55   Department of Chemistry and Biochemistry,\\
56   University of Notre Dame\\
# Line 60 | Line 60 | Notre Dame, Indiana 46556}
60   %authors
61  
62   % make the title
63 < \maketitle
63 > \maketitle/
64  
65   \begin{doublespace}
66  
# Line 109 | Line 109 | reconstruct under certain conditions. The Au(557) surf
109   Since restructuring occurs as a result of specific interactions of the catalyst
110   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 will provide a
113 < useful counterpoint
114 <
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.
114   %Platinum molecular dynamics
115   %gold molecular dynamics
116  
# Line 200 | Line 199 | site at the center of mass along the CO bond.  The geo
199   manner.  We used a model first proposed by Karplus and Straub to study
200   the photodissociation of CO from myoglobin.\cite{Straub} The Straub and
201   Karplus model is a rigid three site model which places a massless M
202 < site at the center of mass along the CO bond.  The geometry along with the interaction
203 < parameters are reproduced in Table 1. The effective dipole moment is still
202 > site at the center of mass along the CO bond.  The geometry used along
203 > with the interaction parameters are reproduced in Table 1. The effective
204 > dipole moment, calculated from the assigned charges, is still
205   small (0.35 D) while the linear quadrupole (-2.40 D~\AA) is close
206 < to the experimental (-2.63 D~\AA)\cite{QuadrupoleCO} and quantum mechanical predictions (-2.46 D~\AA)\cite{QuadrupoleCOCalc}.
206 > to the experimental (-2.63 D~\AA)\cite{QuadrupoleCO} and quantum
207 > mechanical predictions (-2.46 D~\AA)\cite{QuadrupoleCOCalc}.
208   %CO Table
209   \begin{table}[H]
210   \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 $e$.}
# Line 212 | Line 213 | to the experimental (-2.63 D~\AA)\cite{QuadrupoleCO} a
213   \hline
214   \multicolumn{5}{|c|}{\textbf{Self-Interactions}}\\
215   \hline
216 < &  r & $\sigma$ & $\epsilon$ & q\\
216 > &  {\it z} & $\sigma$ & $\epsilon$ & q\\
217   \hline
218 < \textbf{C} & 0.0 &  0.0262  & 3.83   &   -0.75 \\
219 < \textbf{O} &  1.13 &   0.1591 &   3.12 &   -0.85 \\
220 < \textbf{M} & 0.6457 & -  &  -  &    1.6 \\
218 > \textbf{C} & -0.6457 &  0.0262  & 3.83   &   -0.75 \\
219 > \textbf{O} &  0.4843 &   0.1591 &   3.12 &   -0.85 \\
220 > \textbf{M} & 0.0 & -  &  -  &    1.6 \\
221   \hline
222   \end{tabular}
223   \end{table}
# Line 224 | Line 225 | is the proper parameterization of all of the potential
225   \subsection{Cross-Interactions}
226  
227   One hurdle that must be overcome in classical molecular simulations
228 < is the proper parameterization of all of the potential interactions present
229 < in the system. CO adsorbed on a platinum surface has been the focus of
230 < many experimental \cite{Yeo, Hopster:1978, Ertl:1977, Kelemen:1979} and theoretical studies.
231 < \cite{Beurden:2002ys,Pons:1986,Deshlahra:2009,Feibelman:2001,Mason:2004}
232 < We started with parameters reported by Korzeniewski et al. \cite{Pons:1986} and then
228 > is the proper parameterization of the potential interactions present
229 > in the system. Since the adsorption of CO onto a platinum surface has been
230 > the focus of many experimental \cite{Yeo, Hopster:1978, Ertl:1977, Kelemen:1979}
231 > and theoretical studies \cite{Beurden:2002ys,Pons:1986,Deshlahra:2009,Feibelman:2001,Mason:2004}
232 > there is a large amount of data in the literature to fit too. We started with parameters
233 > reported by Korzeniewski et al. \cite{Pons:1986} and then
234   modified them to ensure that the Pt-CO interaction favored
235 < an atop binding position for the CO upon the Pt surface. Following the method
236 < laid out by Korzeniewski, the Pt-C interaction was fit to a strong
237 < Lennard-Jones 12-6 interaction to mimic binding, while the Pt-O interaction
238 < was parameterized to a Morse potential. The resultant potential-energy
239 < surface suitably recovers the calculated Pt-CO bond length (1.1 \AA)\cite{Deshlahra:2012} and affinity
235 > an atop binding position for the CO upon the Pt surface. This
236 > constraint led to the binding energies being on the higher side
237 > of reported values. Following the method laid out by Korzeniewski,
238 > the Pt-C interaction was fit to a strong Lennard-Jones 12-6
239 > interaction to mimic binding, while the Pt-O interaction
240 > was parameterized to a Morse potential with a large $r_o$
241 > to contribute a weak repulsion. The resultant potential-energy
242 > surface suitably recovers the calculated Pt-C bond length ( 1.6\AA)\cite{Beurden:2002ys} and affinity
243   for the atop binding position.\cite{Deshlahra:2012, Hopster:1978}
244  
245 < The Au-C and Au-O interaction parameters were fit to a Lennard-Jones and Morse potential respectively. The binding energies were obtained from quantum calculations carried out using <functional> for gold.
245 > %where did you actually get the functionals for citation?
246 > %scf calculations, so initial relaxation was of the four layers, but two layers weren't kept fixed, I don't think
247 > %same cutoff for slab and slab + CO ? seems low, although feibelmen had values around there...
248 > The Au-C and Au-O interaction parameters were also fit to a Lennard-Jones
249 > and Morse potential respectively, to reproduce Au-CO binding energies.
250 > These energies were obtained from quantum calculations carried out using
251 > the PBE GGA exchange-correlation functionals\cite{Perdew_GGA} for gold, carbon, and oxygen
252 > constructed by Rappe, Rabe, Kaxiras, and Joannopoulos. \cite{RRKJ_PP}.
253 > All calculations were run using the {\sc Quantum ESPRESSO} package. \cite{QE-2009}  
254 > First, a four layer slab of gold comprised of 32 atoms displaying a (111) surface was
255 > converged using a 4X4X4 grid of Monkhorst-Pack \emph{k}-points.\cite{Monkhorst:1976}
256 > The kinetic energy of the wavefunctions were truncated at 20 Ry while the
257 > cutoff for the charge density and potential was set at 80 Ry. This relaxed
258 > gold slab was then used in numerous single point calculations  with CO at various heights
259 > to create a potential energy surface for the Au-CO interaction.
260  
261 < Numerous single point calculations were performed at various distances of the CO
261 > %Hint at future work
262 > The fit parameter sets employed in this work are shown in Table 2 and their
263 > reproduction of the binding energies are displayed in Table 3. Currently,
264 > charge transfer is not being treated in this system, however, that is a goal
265 > for future work as the effect has been seen to affect binding energies and
266 > binding site preferences. \cite{Deshlahra:2012}
267  
268  
269  
270 +
271   \subsection{Construction and Equilibration of 557 Metal interfaces}
272  
273 < Our model systems are composed of approximately 4000 metal atoms cut along the 557 plane. The bare crystals were initially run in the Canonical ensemble at 1000K and 800K respectively for Pt and Au. The difference in temperature is necessary because of the two metals different melting points. Various amounts of CO were added to the simulation box and allowed to absorb to the metal surfaces over a short period of 100 ps. After further thermal relaxation the simulations were all run for at least 40 ns. A subset of the runs that showed interesting effects were allowed to run longer. The system
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. Because of the
283 > high temperature and the difference in binding energies, the platinum systems
284 > very rarely had CO that was not adsorbed to the surface whereas the gold systems
285 > often had a substantial minority of CO away from the surface.
286 > These systems were again allowed to reach thermal equilibrium before being run in the
287 > microcanonical ensemble. All of the systems examined in this work were
288 > run for at least 40 ns. A subset that were undergoing interesting effects
289 > have been allowed to continue running with one system approaching 200 ns.
290 > All simulations were run using the open source molecular dynamics package, OpenMD. \cite{Ewald, OOPSE}
291  
292  
251 Our model systems are composed of approximately 4000 metal atoms cut along the 557 plane. This cut creates a stepped surface of 6x(111) surface plateaus separated by a single (100) atomic step height. The abundance of low-coordination atoms along the step edges acts as a suitable model for industrial catalysts which tend to have a high concentration of high-index sites. Experimental work has shown that such surfaces are notable for reconstructing upon adsorption\cite{}. Reconstructions have been seen for the Pt 557 surface that involve doubling of the step height and further formation of nano clusters with a triangular motif \cite{doi:10.1126/science.1182122}. To shed insight on whether this reconstruction is limited to the platinum surface, simulations of gold under similar conditions will also be examined. To properly observe these changes, our system size needs to be greater than the periodic phenomena we are examining. The large size and the long time scales needed precluded us from using quantum approaches. Thus, a forcefield describing the Metal-Metal, CO-CO, and CO-Metal interactions was parameterized and the simulations were run using OpenMD\cite{} an open-source molecular dynamics package.
293  
294  
295  
# Line 285 | Line 326 | Our model systems are composed of approximately 4000 m
326   & Calc. & Exp. \\
327   \hline
328   \textbf{Pt-CO} & -1.9 & -1.4~\cite{Kelemen:1979}-- -1.9~\cite{Yeo} \\
329 < \textbf{Au-CO} & -0.39 & -0.44~\cite{TPD_Gold_CO} \\
329 > \textbf{Au-CO} & -0.39 & -0.44~\cite{TPD_Gold} \\
330   \hline
331   \end{tabular}
332   \end{table}
# Line 298 | Line 339 | While an ideal metallic surface is unlikely to experie
339   % Just results, leave discussion for discussion section
340   \section{Results}
341   \subsection{Diffusion}
342 < 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.
342 > 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 has been running continuously. The lowered diffusion constant at longer run times will be examined in-depth in the discussion section.
343  
344 + \begin{figure}[H]
345 + \includegraphics[scale=0.6]{DiffusionComparison_error.png}
346 + \caption{Diffusion parallel to the step edge will always be higher than that perpendicular to the edge because of the lower energy barrier associated with going from approximately 7 nearest neighbors to 5, as compared to the 3 of an adatom. Additionally, the observed maximum and subsequent decrease for the Pt system suggests that the CO self-interactions are playing a significant role with regards to movement of the platinum atoms around and more importantly across the surface. }
347 + \end{figure}
348 +
349   %Table of Diffusion Constants
350   %Add gold?M
351   \begin{table}[H]
352 < \caption{Platinum 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. There were two approaches of analysis. One looking at the surface atoms that had moved more than a prescribed amount over the run time and the other looking at all surface atoms. Units are \AA\textsuperscript{2}/ns}
352 > \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}
353   \centering
354 < \begin{tabular}{| c | ccc | ccc | c |}
354 > \begin{tabular}{| c | cc | cc | c |}
355   \hline
356 < \textbf{System Coverage} & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$ & \textbf{Atoms} & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$ & \textbf{Atoms} & \textbf{Time (ns)}\\
356 > \textbf{System Coverage} & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$ & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$  & \textbf{Time (ns)}\\
357   \hline
358 < &\multicolumn{3}{c|}{\textbf{Mobile}}&\multicolumn{3}{c|}{\textbf{Surface Atoms}} & \\
358 > &\multicolumn{2}{c|}{\textbf{Platinum}}&\multicolumn{2}{c|}{\textbf{Gold}} & \\
359   \hline
360 < 50\% & 3.74 & 0.89 & 497 & 2.05 & 0.49 & 912 & 116 \\
361 < 50\% & 5.81 & 1.59 & 365 & 2.41 & 0.68 & 912 & 46   \\
362 < 33\% & 6.73 & 2.47 & 332 & 2.51 & 0.93 & 912 & 46   \\
363 < 25\% & 5.38 & 2.04 & 361 & 2.18 & 0.84 & 912 & 46  \\
364 < 5\% & 5.54 & 0.63 & 230 & 1.44 & 0.19 & 912 & 46  \\
319 < 0\% & 3.53 & 0.61 & 282 & 1.11 & 0.22 & 912 & 56  \\
320 < \hline
321 < 50\%-r & 6.91 & 2.00 & 198 & 2.23 & 0.68  & 925 & 25\\
322 < 0\%-r  & 4.73 & 0.27 & 128 & 0.72 & 0.05 & 925 & 43\\
360 > 50\% & 4.32 $\pm$ 0.02 & 1.185 $\pm$ 0.008 & 1.72 $\pm$ 0.02 & 0.455 $\pm$ 0.006 & 40 \\
361 > 33\% & 5.18 $\pm$ 0.03 & 1.999 $\pm$ 0.005 & 1.95 $\pm$ 0.02 & 0.337 $\pm$ 0.004 & 40   \\
362 > 25\% & 5.01 $\pm$ 0.02 & 1.574 $\pm$ 0.004 & 1.26 $\pm$ 0.03 & 0.377 $\pm$ 0.006 & 40  \\
363 > 5\%   & 3.61 $\pm$ 0.02 & 0.355 $\pm$ 0.002 & 1.84 $\pm$ 0.03 & 0.169 $\pm$ 0.004 & 40  \\
364 > 0\%   & 3.27 $\pm$ 0.02 & 0.147 $\pm$ 0.004 & 1.50 $\pm$ 0.02 & 0.194 $\pm$ 0.002  & 40  \\
365   \hline
366   \end{tabular}
367   \end{table}
# Line 328 | Line 370 | Comparing the results from simulation to those reporte
370  
371   %Discussion
372   \section{Discussion}
373 < 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.
373 > 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.
374  
375   \subsection{Diffusion}
376   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?)
# Line 344 | Line 386 | As shown in the results section, the diffusion paralle
386  
387  
388   %Peaks!
389 + \begin{figure}[H]
390   \includegraphics[scale=0.25]{doublePeaks_noCO.png}
391 + \caption{}
392 + \end{figure}
393   \section{Conclusion}
394  
395  

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