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# Line 68 | Line 68 | Notre Dame, Indiana 46556}
68   \begin{doublespace}
69  
70   \begin{abstract}
71 <
71 > We examine potential surface reconstructions of Pt and Au (557) under various CO coverages using molecular dynamics in order to find possible mechanisms and dynamics for the restructuring. The metal-CO interactions were parameterized as part of this work so that a large scale treatment of this system could be undertaken. The relative binding strengths of the metal-CO interactions were found to play a large role with regards to step edge stability and adatom diffusion. A small correlation between coverage and the size of the diffusion constant was also determined. These results appear sufficient to explain the reconstructions observed on the Pt systems and the lack of reconstructions on the Au systems.
72   \end{abstract}
73  
74   \newpage
# Line 100 | Line 100 | This work an effort to understand the mechanism and ti
100   reversible restructuring under exposure to moderate pressures of
101   carbon monoxide.\cite{Tao:2010}
102  
103 < This work an effort to understand the mechanism and timescale for
103 > This work is an attempt to understand the mechanism and timescale for
104   surface restructuring using molecular simulations.  Since the dynamics
105 < of the process is of particular interest, we utilize classical force
105 > of the process are of particular interest, we employ classical force
106   fields that represent a compromise between chemical accuracy and the
107 < computational efficiency necessary to observe the process of interest.
107 > computational efficiency necessary to simulate the process of interest.
108  
109 < Since restructuring occurs as a result of specific interactions of the
110 < catalyst with adsorbates, two metal systems exposed to carbon monoxide
111 < were examined in this work. The Pt(557) surface has already been shown
109 > Restructuring can occur as a result of specific interactions of the
110 > catalyst with adsorbates. In this work, two metal systems exposed
111 > to carbon monoxide were examined. The Pt(557) surface has already been shown
112   to reconstruct under certain conditions. The Au(557) surface, because
113   of a weaker interaction with CO, is less likely to undergo this kind
114   of reconstruction.  MORE HERE ON PT AND AU PREVIOUS WORK.
# Line 133 | Line 133 | Au-Au and Pt-Pt interactions, while modeling the CO us
133   Coulomb potential.  For this work, we have used classical molecular
134   dynamics with potential energy surfaces that are specifically tuned
135   for transition metals.  In particular, we used the EAM potential for
136 < Au-Au and Pt-Pt interactions, while modeling the CO using a rigid
136 > Au-Au and Pt-Pt interactions\cite{EAM}, while modeling the CO using a rigid
137   three-site model developed by Straub and Karplus for studying
138   photodissociation of CO from myoglobin.\cite{Straub} The Au-CO and
139   Pt-CO cross interactions were parameterized as part of this work.
# Line 164 | Line 164 | $\phi_{ij}(r_{ij})$ is an pairwise term that is meant
164   V_i =  F[ \bar{\rho}_i ]  + \sum_{j \neq i} \phi_{ij}(r_{ij})
165   \end{equation*}
166   where $F[ \bar{\rho}_i ]$ is an energy embedding functional, and
167 < $\phi_{ij}(r_{ij})$ is an pairwise term that is meant to represent the
168 < overlap of the two positively charged cores.  
167 > $\phi_{ij}(r_{ij})$ is a pairwise term that is meant to represent the
168 > repulsive overlap of the two positively charged cores.  
169  
170   % The {\it modified} embedded atom method (MEAM) adds angular terms to
171   % the electron density functions and an angular screening factor to the
# Line 176 | Line 176 | The EAM, Finnis-Sinclair, and the Quantum Sutton-Chen
176   % metals,\cite{Lee:2001qf} and also interfaces.\cite{Beurden:2002ys})
177   % MEAM presents significant additional computational costs, however.
178  
179 < The EAM, Finnis-Sinclair, and the Quantum Sutton-Chen potentials
179 > The EAM, Finnis-Sinclair, and the Quantum Sutton-Chen (QSC) potentials
180   have all been widely used by the materials simulation community for
181   simulations of bulk and nanoparticle
182   properties,\cite{Chui:2003fk,Wang:2005qy,Medasani:2007uq}
# Line 190 | Line 190 | Since previous explanations for the surface rearrangem
190   parameterized.\cite{Foiles86,PhysRevB.37.3924,Rifkin1992,mishin99:_inter,mishin01:cu,mishin02:b2nial,zope03:tial_ap,mishin05:phase_fe_ni}  
191  
192   \subsection{Carbon Monoxide model}
193 < Since previous explanations for the surface rearrangements center on
194 < the large linear quadrupole moment of carbon monoxide, the model
195 < chosen for this molecule exhibits this property in an efficient
196 < manner.  We used a model first proposed by Karplus and Straub to study
197 < the photodissociation of CO from myoglobin.\cite{Straub} The Straub and
198 < Karplus model is a rigid three site model which places a massless M
199 < site at the center of mass along the CO bond.  The geometry used along
200 < with the interaction parameters are reproduced in Table~1. The effective
193 > Previous explanations for the surface rearrangements center on
194 > the large linear quadrupole moment of carbon monoxide.  
195 > We used a model first proposed by Karplus and Straub to study
196 > the photodissociation of CO from myoglobin because it reproduces
197 > the quadrupole moment well.\cite{Straub} The Straub and
198 > Karplus model, treats CO as a rigid three site molecule which places a massless M
199 > site at the center of mass position along the CO bond.  The geometry used along
200 > with the interaction parameters are reproduced in Table~\ref{tab:CO}. The effective
201   dipole moment, calculated from the assigned charges, is still
202   small (0.35 D) while the linear quadrupole (-2.40 D~\AA) is close
203   to the experimental (-2.63 D~\AA)\cite{QuadrupoleCO} and quantum
# Line 218 | Line 218 | mechanical predictions (-2.46 D~\AA)\cite{QuadrupoleCO
218   \textbf{M} & 0.0 & -  &  -  &    1.6 \\
219   \hline
220   \end{tabular}
221 + \label{tab:CO}
222   \end{table}
223  
224   \subsection{Cross-Interactions between the metals and carbon monoxide}
# Line 230 | Line 231 | position on Pt(111). This resulting binding energies a
231   clean metal surfaces. Parameters reported by Korzeniewski {\it et
232    al.}\cite{Pons:1986} were a starting point for our fits, which were
233   modified to ensure that the Pt-CO interaction favored the atop binding
234 < position on Pt(111). This resulting binding energies are on the higher
235 < side of the experimentally-reported values. Following Korzeniewski
234 > position on Pt(111). These parameters are reproduced in Table~\ref{tab:co_parameters}
235 > This resulted in binding energies that are slightly higher
236 > than the experimentally-reported values as shown in Table~\ref{tab:co_energies}. Following Korzeniewski
237   {\it et al.},\cite{Pons:1986} the Pt-C interaction was fit to a deep
238   Lennard-Jones interaction to mimic strong, but short-ranged partial
239   binding between the Pt $d$ orbitals and the $\pi^*$ orbital on CO. The
240 < Pt-O interaction was parameterized to a Morse potential with a large
241 < range parameter ($r_o$).  In most cases, this contributes a weak
240 > Pt-O interaction was parameterized to a Morse potential at a larger
241 > minimum distance, ($r_o$).  This was chosen so that the C would be preferred
242 > over O as the binder to the surface. In most cases, this parameterization contributes a weak
243   repulsion which favors the atop site.  The resulting potential-energy
244   surface suitably recovers the calculated Pt-C separation length
245   (1.6~\AA)\cite{Beurden:2002ys} and affinity for the atop binding
# Line 245 | Line 248 | The Au-C and Au-O cross-interactions were fit using Le
248   %where did you actually get the functionals for citation?
249   %scf calculations, so initial relaxation was of the four layers, but two layers weren't kept fixed, I don't think
250   %same cutoff for slab and slab + CO ? seems low, although feibelmen had values around there...
251 < The Au-C and Au-O cross-interactions were fit using Lennard-Jones and
251 > The Au-C and Au-O cross-interactions were also fit using Lennard-Jones and
252   Morse potentials, respectively, to reproduce Au-CO binding energies.
253 <
254 < The fits were refined against gas-surface DFT calculations with a
253 > The limited experimental data for CO adsorption on Au lead us to refine our fits against DFT.
254 > Adsorption energies were obtained from gas-surface DFT calculations with a
255   periodic supercell plane-wave basis approach, as implemented in the
256   {\sc Quantum ESPRESSO} package.\cite{QE-2009} Electron cores are
257   described with the projector augmented-wave (PAW)
# Line 257 | Line 260 | Ionic relaxations were performed until the energy diff
260   computed with the PBE implementation of the generalized gradient
261   approximation (GGA) for gold, carbon, and oxygen that was constructed
262   by Rappe, Rabe, Kaxiras, and Joannopoulos.\cite{Perdew_GGA,RRKJ_PP}
263 < Ionic relaxations were performed until the energy difference between
261 < subsequent steps was less than $10^{-8}$ Ry.  In testing the CO-Au
262 < interaction, Au(111) supercells were constructed of four layers of 4
263 > In testing the Au-CO interaction, Au(111) supercells were constructed of four layers of 4
264   Au x 2 Au surface planes and separated from vertical images by six
265 < layers of vacuum space. The surface atoms were all allowed to relax.
266 < Supercell calculations were performed nonspin-polarized with a 4 x 4 x
267 < 4 Monkhorst-Pack {\bf k}-point sampling of the first Brillouin
265 > layers of vacuum space. The surface atoms were all allowed to relax
266 > before CO was added to the system. Electronic relaxations were
267 > performed until the energy difference between subsequent steps
268 > was less than $10^{-8}$ Ry.   Nonspin-polarized supercell calculations
269 > were performed with a 4~x~4~x~4 Monkhorst-Pack {\bf k}-point sampling of the first Brillouin
270   zone.\cite{Monkhorst:1976,PhysRevB.13.5188} The relaxed gold slab was
271   then used in numerous single point calculations with CO at various
272   heights (and angles relative to the surface) to allow fitting of the
273   empirical force field.
274  
275   %Hint at future work
276 < The parameters employed in this work are shown in Table 2 and the
277 < binding energies on the 111 surfaces are displayed in Table 3.  To
278 < speed up the computations, charge transfer and polarization are not
279 < being treated in this model, although these effects are likely to
280 < affect binding energies and binding site
281 < preferences.\cite{Deshlahra:2012}
276 > The parameters employed for the metal-CO cross-interactions in this work
277 > are shown in Table~\ref{co_parameters} and the binding energies on the
278 > (111) surfaces are displayed in Table~\ref{co_energies}.  Charge transfer
279 > and polarization are neglected in this model, although these effects are likely to
280 > affect binding energies and binding site preferences, and will be added in
281 > a future work.\cite{Deshlahra:2012,StreitzMintmire}
282  
283   %Table  of Parameters
284   %Pt Parameter Set 9
# Line 295 | Line 298 | preferences.\cite{Deshlahra:2012}
298  
299   \hline
300   \end{tabular}
301 + \label{tab:co_parameters}
302   \end{table}
303  
304   %Table of energies
# Line 312 | Line 316 | preferences.\cite{Deshlahra:2012}
316    \textbf{Au-CO} & -0.39 & -0.40 \bibpunct{}{}{,}{n}{}{,}  (Ref. \protect\cite{TPD_Gold}) \\
317    \hline
318   \end{tabular}
319 + \label{tab:co_energies}
320   \end{table}
321  
322   \subsection{Pt(557) and Au(557) metal interfaces}
# Line 354 | Line 359 | behavior has been seen to occur on numerous surfaces a
359   Tao {\it et al.} showed experimentally that the Pt(557) surface undergoes
360   two separate reconstructions upon CO adsorption.\cite{Tao:2010} The first
361   reconstruction involves a doubling of the step height and plateau length. Similar
362 < behavior has been seen to occur on numerous surfaces at varying conditions.\cite{}
362 > behavior has been seen to occur on numerous surfaces at varying conditions.\cite{Williams:1994,Williams:1991,Pearl}
363   Of the two systems we examined, the Platinum system showed the most surface
364   reconstruction. Additionally, the amount of reconstruction appears to be
365   dependent on the amount of CO adsorbed upon the surface. This result is likely
366   related to the effect that coverage has on surface diffusion. While both systems
367   displayed step edge wandering, only the Pt surface underwent doubling within
368   the time scales we were modeling. Specifically only the 50 \% coverage Pt system
369 < was observed to undergo doubling in the time scales we were able to monitor.
370 < Although, the other Platinum systems tended to show more cumulative lateral movement of
371 < the step edges when compared to the Gold systems. The 50 \% Pt system is highlighted
372 < in figure \ref{fig:reconstruct} at various times along the simulation showing
373 < the evolution of the system.
369 > was observed to undergo a complete doubling in the time scales we were able to monitor.
370 > This event encouraged us to allow that specific system to run continuously during which two
371 > more double layers were created. The other systems, not displaying any large scale changes
372 > of interest, were all stopped after 40 ns of simulation. Neverthless, the other Platinum systems tended to show
373 > more cumulative lateral movement of the step edges when compared to the Gold systems.
374 > The 50 \% Pt system is highlighted in figure \ref{fig:reconstruct} at various times along the
375 > simulation showing the evolution of the system.
376  
377   The second reconstruction on the Pt(557) surface observed by Tao involved the
378   formation of triangular clusters that stretched across the plateau between two step edges.
# Line 374 | Line 381 | While atomistic simulations of stepped surfaces have b
381   work and is shown in the supporting information.
382  
383   \subsection{Dynamics}
384 < While atomistic simulations of stepped surfaces have been performed before \cite{}, they tend to be
385 < performed using Monte Carlo techniques\cite{}. This allows them to efficiently sample the thermodynamic
386 < landscape but at the expense of ignoring the dynamics of the system. Previous work, using STM (?)\cite{},
387 < has been able to visualize the coalescing of steps of (system). The time scale of the image acquisition
384 > While atomistic-like simulations of stepped surfaces have been performed before \cite{}, they tend to be
385 > performed using Monte Carlo techniques\cite{Williams:1991,Williams:1994}. This allows them to efficiently sample the thermodynamic
386 > landscape but at the expense of ignoring the dynamics of the system. Previous work, using STM \cite{Pearl},
387 > has been able to visualize the coalescing of steps of (system). The time scale of the image acquisition, ~ 70 s/image
388   provides an upper bounds for the time required for the doubling to actually occur. While statistical treatments
389   of step edges are adept at analyzing such systems, it is important to remember that the edges are made
390   up of individual atoms and thus can be examined in numerous ways.
391  
392   \subsubsection{Transport of surface metal atoms}
393 + %forcedSystems/stepSeparation
394   The movement of a step edge is a cooperative effect arising from the individual movements of the atoms
395   making up the step. An ideal metal surface displaying a low index facet (111, 100, 110) is unlikely to
396   experience much surface diffusion because of the large energetic barrier to lift an atom out of the surface.
397 < For our surfaces, the presence of step edges provide a source for mobile metal atoms. Breaking away
398 < from the step edge is still an energetic penalty around (value) but is much less than lifting the same metal
399 < atom out from the surface and the penalty lowers even further when CO is present in sufficient quantities
400 < on the surface. Once an adatom exists on the surface, its barrier for diffusion is negligible ( < 4 kcal/mole)
401 < and is well able to explore its terrace because both steps act as barriers constraining the area in which
402 < diffusion is allowed. By tracking the mobility of individual metal atoms on the surface we were able to determine
403 < the relative diffusion rates and how varying coverages of CO affected the diffusion constants. Close
397 > For our surfaces however, the presence of step edges provide a source for mobile metal atoms. Breaking away
398 > from the step edge still imposes an energetic penalty around 40 kcal/mole, but is much less than lifting the same metal
399 > atom out from the surface,  > 60 kcal/mole, and the penalty lowers even further when CO is present in sufficient quantities
400 > on the surface, ~20 kcal/mole. Once an adatom exists on the surface, its barrier for diffusion is negligible ( < 4 kcal/mole)
401 > and is well able to explore its terrace. Atoms traversing terraces is more difficult, but can be overcome through a joining and lifting stage.
402 > By tracking the mobility of individual metal atoms on the Platinum and Gold surfaces we were able to determine
403 > the relative diffusion rates and how varying coverages of CO affected the rates. Close
404   observation of the mobile metal atoms showed that they were typically in equilibrium with the
405   step edges, constantly breaking apart and rejoining. Additionally, at times their motion was concerted and
406   two or more atoms would be observed moving together across the surfaces. The primary challenge in quantifying
407 < the overall surface mobility is in defining ``mobile" vs. ``static" atoms.
407 > the overall surface mobility was in defining ``mobile" vs. ``static" atoms.
408  
409   A particle was considered mobile once it had traveled more than 2~\AA~ between saved configurations
410   of the system (10-100 ps). An atom that was truly mobile would typically travel much greater than this, but
411 < the 2~\AA~ cutoff was to prevent the in place vibrational movement of atoms from being included in the analysis.
411 > the 2~\AA~ cutoff was to prevent the in-place vibrational movement of atoms from being included in the analysis.
412   Since diffusion on  a surface is strongly affected by local structures, in this case the presence of single and double
413   layer step edges, the diffusion parallel to the step edges was determined separately from the diffusion perpendicular
414   to these edges. The parallel and perpendicular diffusion constants are shown in figure \ref{fig:diff}.
415  
416   \subsubsection{Double layer formation}
417   The increased amounts of diffusion on Pt at the higher CO coverages appears to play a role in the
418 < formation of double layers. Seeing as how that was the only system within our observed simulation time
419 < that showed the formation. As mentioned earlier, previous experimental work has given some insight into
420 < the upper bounds of the time required for enough atoms to move around to allow two steps to coalesce\cite{}.
418 > formation of double layers, seeing as how that was the only system within our observed simulation time
419 > that showed the formation. Despite this being the only system where this reconstruction occurs, three separate layers
420 > were formed over the extended run time of this system. As mentioned earlier, previous experimental work has given some insight into
421 > the upper bounds of the time required for enough atoms to move around to allow two steps to coalesce\cite{Williams:1991,Pearl}.
422   As seen in figure \ref{fig:reconstruct}, the first appearance of a double layer, a nodal site, appears at 19 ns into
423 < the simulation. Within 10 ns, nearly half of the step has formed the double layer and by 86 ns, the complete
424 < layer has formed. From the appearance of the first node to the complete doubling of the layers, only ~65 ns
425 < have elapsed. The other two layers in this simulation form over a period of ---- and ---- ns respectively.
423 > the simulation. Within 12 ns, nearly half of the step has formed the double layer and by 86 ns, a smooth complete
424 > layer has formed. The double layer is complete by 37 ns but is a bit rough.
425 > From the appearance of the first node to the initial doubling of the layers ignoring their roughness took ~20 ns.
426 > Another ~40 ns was necessary for the layer to completely straighten. The other two layers in this simulation form
427 > over a period of 22 ns and 42 ns respectively.
428  
429 + %Evolution of surface
430   \begin{figure}[H]
431 + \includegraphics[width=\linewidth]{ProgressionOfDoubleLayerFormation_yellowCircle.png}
432 + \caption{The Pt(557) / 50\% CO system at a sequence of times after
433 +  initial exposure to the CO: (a) 258 ps, (b) 19 ns, (c) 31.2 ns, and
434 +  (d) 86.1 ns. Disruption of the 557 step edges occurs quickly.  The
435 +  doubling of the layers appears only after two adjacent step edges
436 +  touch.  The circled spot in (b) nucleated the growth of the double
437 +  step observed in the later configurations.}
438 +  \label{fig:reconstruct}
439 + \end{figure}
440 +
441 + \begin{figure}[H]
442   \includegraphics[width=\linewidth]{DiffusionComparison_errorXY_remade.pdf}
443   \caption{Diffusion constants for mobile surface atoms along directions
444    parallel ($\mathbf{D}_{\parallel}$) and perpendicular
# Line 431 | Line 454 | have elapsed. The other two layers in this simulation
454   \label{fig:diff}
455   \end{figure}
456  
457 < %Table of Diffusion Constants
435 < %Add gold?M
436 < % \begin{table}[H]
437 < %   \caption{}
438 < %   \centering
439 < % \begin{tabular}{| c | cc | cc | }
440 < %   \hline
441 < %   &\multicolumn{2}{c|}{\textbf{Platinum}}&\multicolumn{2}{c|}{\textbf{Gold}} \\
442 < %   \hline
443 < %   \textbf{Surface Coverage} & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$ & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$  \\
444 < %   \hline
445 < %   50\% & 4.32(2) & 1.185(8)  & 1.72(2) & 0.455(6) \\
446 < %   33\% & 5.18(3)  & 1.999(5)  & 1.95(2) & 0.337(4)   \\
447 < %   25\% & 5.01(2)  & 1.574(4)  & 1.26(3) & 0.377(6) \\
448 < %   5\%   & 3.61(2)  & 0.355(2)  & 1.84(3)  & 0.169(4)  \\
449 < %   0\%   & 3.27(2)  & 0.147(4)  & 1.50(2)  & 0.194(2)   \\
450 < %   \hline
451 < % \end{tabular}
452 < % \end{table}
457 >
458  
459 +
460   %Discussion
461   \section{Discussion}
462 + In this paper we have shown that we were able to accurately model the initial reconstruction of the
463 + Pt (557) surface upon CO adsorption as shown by Tao et al. \cite{Tao:2010}. More importantly, we
464 + were able to capture the dynamic processes inherent within this reconstruction.
465  
466 < Mechanism for restructuring
466 > \subsection{Mechanism for restructuring}
467 > The increased computational cost to examine this system using molecular dynamics rather than
468 > a Monte Carlo based approach was necessary so that our predictions on possible mechanisms
469 > and driving forces would have support not only from thermodynamic arguments but also from the
470 > actual dynamics of the system.
471  
459 There are a number of possible mechanisms to explain the role of
460 adsorbed CO in restructuring the Pt surface. Quadrupolar repulsion
461 between adjacent CO molecules adsorbed on the surface is one
462 possibility.  However, the quadrupole-quadrupole interaction is
463 short-ranged and is attractive for some orientations.  If the CO
464 molecules are locked in a specific orientation relative to each other,
465 this explanation gains some weight.  
466
467 Another possible mechanism for the restructuring is in the
468 destabilization of strong Pt-Pt interactions by CO adsorbed on surface
469 Pt atoms.  This could have the effect of increasing surface mobility
470 of these atoms.  
471
472   Comparing the results from simulation to those reported previously by
473   Tao et al. the similarities in the platinum and CO system are quite
474 < strong. As shown in figure, the simulated platinum system under a CO
474 > strong. As shown in figure \ref{fig:reconstruct}, the simulated platinum system under a CO
475   atmosphere will restructure slightly by doubling the terrace
476   heights. The restructuring appears to occur slowly, one to two
477   platinum atoms at a time. Looking at individual snapshots, these
# Line 487 | Line 487 | $\sim$~35 ns.
487   growth point, the double layer tends to be fully formed within
488   $\sim$~35 ns.
489  
490 + There are a number of possible mechanisms to explain the role of
491 + adsorbed CO in restructuring the Pt surface. Quadrupolar repulsion
492 + between adjacent CO molecules adsorbed on the surface is one
493 + possibility.  However, the quadrupole-quadrupole interaction is
494 + short-ranged and is attractive for some orientations.  If the CO
495 + molecules are ``locked'' in a specific orientation relative to each other however,
496 + this explanation gains some weight.  The energetic repulsion between two CO
497 + located a distance of 2.77~\AA~apart (nearest-neighbor distance of Pt) with both in a
498 + vertical orientation is 8.62 kcal/mole. Moving the CO apart to the second nearest-neighbor
499 + distance of 4.8~\AA~or 5.54~\AA~drops the repulsion to nearly 0 kcal/mole. SHOW A NUMBER FOR ROTATION.
500 + As mentioned above, the energy barrier for surface diffusion of a platinum adatom is only 4 kcal/mole. So this
501 + repulsion between CO can help increase the surface diffusion. However, the residence time of CO was examined
502 + and while the majority of the CO is on or near the surface throughout the run, it is extremely mobile. This mobility
503 + suggests that the CO are more likely to shift their positions without necessarily dragging the platinum along
504 + with them.
505 +
506 + Another possible and more likely mechanism for the restructuring is in the
507 + destabilization of strong Pt-Pt interactions by CO adsorbed on surface
508 + Pt atoms.  This could have the effect of increasing surface mobility
509 + of these atoms.  To test this hypothesis, numerous configurations of
510 + CO in varying quantities were arranged on the higher and lower plateaus
511 + around a step on a otherwise clean Pt (557) surface. One representative
512 + configuration is displayed in figure \ref{fig:lambda}. Single or concerted movement
513 + of platinum atoms was then examined to determine possible barriers. Because
514 + of the forced movement along a pre-defined reaction coordinate that may differ
515 + from the true minimum of this path, only the beginning and ending energies
516 + are displayed in table \ref{tab:energies}. The presence of CO at suitable
517 + sites can lead to lowered barriers for platinum breaking apart from the step edge.
518 + Additionally, as highlighted in figure \ref{fig:lambda}, the presence of CO makes the
519 + burrowing and lifting nature favorable, whereas without CO, the process is neutral
520 + in terms of energetics.
521 +
522 + %lambda progression of Pt -> shoving its way into the step
523 + \begin{figure}[H]
524 + \includegraphics[width=\linewidth]{lambdaProgression_atopCO.png}
525 + \caption{A model system of the Pt 557 surface was used as the framework for a reaction coordinate.
526 + Various numbers, placements, and rotations of CO were examined. The one displayed was a
527 + representative sample. As shown in Table , relative to the energy at 0\% there is a slight decrease
528 + upon insertion of the platinum atom into the step edge along with the resultant lifting of the other
529 + platinum atom.}
530 + \label{fig:lambda}
531 + \end{figure}
532 +
533 +
534 +
535   \subsection{Diffusion}
536 < 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?)
536 > As shown in the results section, the diffusion parallel to the step edge tends to be
537 > much faster than that perpendicular to the step edge. Additionally, the coverage
538 > of CO appears to play a slight role in relative rates of diffusion, as shown in figure \ref{fig:diff}
539 > Thus, the bottleneck of the double layer formation appears to be the initial formation
540 > of this growth point, which seems to be somewhat of a stochastic event. Once it
541 > appears, parallel diffusion, along the now slightly angled step edge, will allow for
542 > a faster formation of the double layer than if the entire process were dependent on
543 > only perpendicular diffusion across the plateaus. Thus, the larger $D_{\perp}$, the
544 > more likely a growth point is to be formed.
545   \\
546 < \\
547 < %Evolution of surface
546 >
547 >
548 > %breaking of the double layer upon removal of CO
549   \begin{figure}[H]
550 < \includegraphics[width=\linewidth]{ProgressionOfDoubleLayerFormation_yellowCircle.png}
551 < \caption{The Pt(557) / 50\% CO system at a sequence of times after
552 <  initial exposure to the CO: (a) 258 ps, (b) 19 ns, (c) 31.2 ns, and
499 <  (d) 86.1 ns. Disruption of the 557 step edges occurs quickly.  The
500 <  doubling of the layers appears only after two adjacent step edges
501 <  touch.  The circled spot in (b) nucleated the growth of the double
502 <  step observed in the later configurations.}
503 <  \label{fig:reconstruct}
550 > \includegraphics[width=\linewidth]{doubleLayerBreaking_greenBlue_whiteLetters.png}
551 > \caption{Hi}
552 > \label{fig:breaking}
553   \end{figure}
554  
555  
556 +
557 +
558   %Peaks!
559   \begin{figure}[H]
560   \includegraphics[width=\linewidth]{doublePeaks_noCO.png}
561   \caption{}
562 + \label{fig:peaks}
563   \end{figure}
564 +
565 + %clean surface...
566   \begin{figure}[H]
567   \includegraphics[width=\linewidth]{557_300K_cleanPDF.pdf}
568   \caption{}
569 +
570   \end{figure}
571 + \label{fig:clean}
572   \section{Conclusion}
573  
574  
575 + %Things I am not ready to remove yet
576 +
577 + %Table of Diffusion Constants
578 + %Add gold?M
579 + % \begin{table}[H]
580 + %   \caption{}
581 + %   \centering
582 + % \begin{tabular}{| c | cc | cc | }
583 + %   \hline
584 + %   &\multicolumn{2}{c|}{\textbf{Platinum}}&\multicolumn{2}{c|}{\textbf{Gold}} \\
585 + %   \hline
586 + %   \textbf{Surface Coverage} & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$ & $\mathbf{D}_{\parallel}$ & $\mathbf{D}_{\perp}$  \\
587 + %   \hline
588 + %   50\% & 4.32(2) & 1.185(8)  & 1.72(2) & 0.455(6) \\
589 + %   33\% & 5.18(3)  & 1.999(5)  & 1.95(2) & 0.337(4)   \\
590 + %   25\% & 5.01(2)  & 1.574(4)  & 1.26(3) & 0.377(6) \\
591 + %   5\%   & 3.61(2)  & 0.355(2)  & 1.84(3)  & 0.169(4)  \\
592 + %   0\%   & 3.27(2)  & 0.147(4)  & 1.50(2)  & 0.194(2)   \\
593 + %   \hline
594 + % \end{tabular}
595 + % \end{table}
596 +
597   \section{Acknowledgments}
598   Support for this project was provided by the National Science
599   Foundation under grant CHE-0848243 and by the Center for Sustainable

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