ViewVC Help
View File | Revision Log | Show Annotations | View Changeset | Root Listing
root/group/trunk/COonPt/COonPtAu.tex
(Generate patch)

Comparing trunk/COonPt/firstTry.tex (file contents):
Revision 3814 by jmichalk, Fri Dec 14 19:19:04 2012 UTC vs.
Revision 3817 by jmichalk, Sat Dec 15 22:41:13 2012 UTC

# Line 4 | Line 4
4   \usepackage{setspace}
5   \usepackage{endfloat}
6   \usepackage{caption}
7 +
8   %\usepackage{tabularx}
9   \usepackage{graphicx}
10   \usepackage{multirow}
# Line 50 | Line 51
51   %Title
52   \title{Investigation of the Pt and Au 557 Surface Reconstructions
53    under a CO Atmosphere}
54 < \author{Joseph R. Michalka, Patrick W. MacIntyre and J. Daniel
54 > \author{Joseph R. Michalka, Patrick W. McIntyre and J. Daniel
55   Gezelter\footnote{Corresponding author. \ Electronic mail: gezelter@nd.edu} \\
56   Department of Chemistry and Biochemistry,\\
57   University of Notre Dame\\
# Line 207 | Line 208 | mechanical predictions (-2.46 D~\AA)\cite{QuadrupoleCO
208   mechanical predictions (-2.46 D~\AA)\cite{QuadrupoleCOCalc}.
209   %CO Table
210   \begin{table}[H]
211 < \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 $e$.}
211 > \caption{Positions, $\sigma$, $\epsilon$ and charges for CO geometry
212 > and self-interactions\cite{Straub}. Distances are in \AA~, energies are
213 > in kcal/mol, and charges are in $e$.}
214   \centering
215   \begin{tabular}{| c | c | ccc |}
216   \hline
# Line 279 | Line 282 | corresponded to 5\%, 25\%, 33\%, and 50\% coverages. T
282   the bare crystal systems were initially run in the Canonical ensemble at
283   800~K and 1000~K respectively for 100 ps. Various amounts of CO were
284   placed in the vacuum region, which upon full adsorption to the surface
285 < corresponded to 5\%, 25\%, 33\%, and 50\% coverages. These systems
286 < were again allowed to reach thermal equilibrium before being run in the
285 > corresponded to 5\%, 25\%, 33\%, and 50\% coverages. Because of the
286 > high temperature and the difference in binding energies, the platinum systems
287 > very rarely had CO that was not adsorbed to the surface whereas the gold systems
288 > often had a substantial minority of CO away from the surface.
289 > These systems were again allowed to reach thermal equilibrium before being run in the
290   microcanonical ensemble. All of the systems examined in this work were
291   run for at least 40 ns. A subset that were undergoing interesting effects
292   have been allowed to continue running with one system approaching 200 ns.
# Line 323 | Line 329 | All simulations were run using the open source molecul
329   & Calc. & Exp. \\
330   \hline
331   \textbf{Pt-CO} & -1.9 & -1.4~\cite{Kelemen:1979}-- -1.9~\cite{Yeo} \\
332 < \textbf{Au-CO} & -0.39 & -0.44~\cite{TPD_Gold_CO} \\
332 > \textbf{Au-CO} & -0.39 & -0.40~\cite{TPD_Gold} \\
333   \hline
334   \end{tabular}
335   \end{table}
# Line 336 | Line 342 | While an ideal metallic surface is unlikely to experie
342   % Just results, leave discussion for discussion section
343   \section{Results}
344   \subsection{Diffusion}
345 < 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.
345 > An ideal metal surface displaying a low-energy facet, a (111) face for
346 > instance, is unlikely to experience much surface diffusion because of
347 > the large energy barrier associated with atoms 'lifting' from the top
348 > layer to then be able to explore the surface. Rougher surfaces, those
349 > that already contain numerous adatoms, step edges, and kinks, should
350 > have concomitantly higher surface diffusion rates. Tao et al. showed
351 > that the platinum 557 surface undergoes two separate reconstructions
352 > upon CO adsorption. \cite{Tao:2010} The first reconstruction involves a
353 > doubling of the step edge height which is accomplished by a doubling
354 > of the plateau length. The second reconstruction led to the formation of
355 > triangular motifs stretching across the lengthened plateaus.
356  
357 + As shown in Figure 2, over a period of approximately 100 ns, the surface
358 + has reconstructed from a 557 surface by doubling the step height and
359 + step length. Focusing on only the platinum, or gold, atoms that were
360 + deemed mobile on the surface, an analysis of the surface diffusion was
361 + performed. A particle was considered mobile once it had traveled more
362 + than 2~\AA between snapshots. This immediately eliminates all of the
363 + bulk metal and greatly limits the number of surface atoms examined.
364 + Since diffusion on a surface is strongly affected by overcoming energy
365 + barriers, the diffusion parallel to the step edge axis was determined
366 + separately from the diffusion perpendicular to the step edge. The results
367 + at various coverages on both platinum and gold are shown in Table 4.
368 +
369 + %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.
370 +
371 + \begin{figure}[H]
372 + \includegraphics[scale=0.6]{DiffusionComparison_error.png}
373 + \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. }
374 + \end{figure}
375 +
376   %Table of Diffusion Constants
377   %Add gold?M
378   \begin{table}[H]
# Line 362 | Line 397 | Comparing the results from simulation to those reporte
397  
398   %Discussion
399   \section{Discussion}
400 < 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.
400 > 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.
401  
402   \subsection{Diffusion}
403   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 371 | Line 406 | As shown in the results section, the diffusion paralle
406   %Evolution of surface
407   \begin{figure}[H]
408   \includegraphics[scale=0.5]{ProgressionOfDoubleLayerFormation_yellowCircle.png}
409 < \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.}
409 > \caption{Four snapshots of the $\frac{1}{2}$ monolayer system at various times a) 258 ps b) 19 ns c) 31.2 ns and 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.}
410   \end{figure}
411  
412  
413  
414  
415   %Peaks!
416 + \begin{figure}[H]
417   \includegraphics[scale=0.25]{doublePeaks_noCO.png}
418 + \caption{}
419 + \end{figure}
420   \section{Conclusion}
421  
422  

Diff Legend

Removed lines
+ Added lines
< Changed lines
> Changed lines