Kinetics of palladium particles on LiNbO3: an origin of the polarization-dependent catalysis

2012 ◽  
Vol 1397 ◽  
Author(s):  
Seungchul Kim ◽  
Michael Rutenberg Schoenberg ◽  
Andrew M. Rappe

ABSTRACTUsing ab-initio calculations and kinetic Monte Carlo simulations, we demonstrate that the deposition geometries of palladium are strongly dependent on the polarization direction of the LiNbO3 substrate. Different stoichiometries and atomic structures of the positively and the negatively polarized substrates cause substantially different bonding configurations of palladium and energy barriers for the movement of Pd clusters. Our simulations predict that palladium atoms form bulky clusters on the positive surface, while they are deposited in a dispersed or planar manner on the negative surface at moderate temperature. We suggest that Inoue and coworkers’ observation [J. Phys. Chem.88, 1148 (1984)] that the catalytic activity of palladium depends on polarization direction of LiNbO3 substrate is, at least in part, due to differences in the geometric structures of palladium and the LiNbO3 surface.

2021 ◽  
Vol 29 ◽  
pp. 95-115
Author(s):  
Rafal Kozubski ◽  
Graeme E. Murch ◽  
Irina V. Belova

We review the results of our Monte Carlo simulation studies carried out within the past two decades in the area of atomic-migration-controlled phenomena in intermetallic compounds. The review aims at showing the high potential of Monte Carlo methods in modelling both the equilibrium states of the systems and the kinetics of the running processes. We focus on three particular problems: (i) the atomistic origin of the complexity of the ‘order-order’ relaxations in γ’-Ni3Al; (ii) surface-induced ordering phenomena in γ-FePt and (iii) ‘order—order’ kinetics and self-diffusion in the ‘triple-defect’ β-NiAl. The latter investigation demonstrated how diverse Monte Carlo techniques may be used to model the phenomena where equilibrium thermodynamics interplays and competes with kinetic effects.


Nanoscale ◽  
2019 ◽  
Vol 11 (21) ◽  
pp. 10524-10535 ◽  
Author(s):  
Lei Li ◽  
Xinyu Li ◽  
Zhiyao Duan ◽  
Randall J. Meyer ◽  
Rob Carr ◽  
...  

Surface segregation in bimetallic nanoparticles is critically important for their catalytic activity. Here, we use the adaptive kinetic Monte Carlo method to model the segregation dynamics in PdAu NPs over experimentally relevant time scales and demonstrate thermodynamically unfavorable Au@Pd core–shell and alloy NPs can be kinetically trapped at low temperature.


2011 ◽  
Vol 2 ◽  
pp. 40-46 ◽  
Author(s):  
Michael Müller ◽  
Karsten Albe

The ordering kinetics in free and supported L10 nanoparticles was studied by means of lattice-based kinetic Monte-Carlo simulations. Starting from a fully disordered particle of Wulff shape, the simulations show that the nucleation of ordered domains is starting quickly on various (100) facets but is retarded in the particle volume due to the lack of vacancies compared with a thin film geometry. If a substrate is present, we do not find significant differences in the ordering behavior. This holds true, even if we impose a massively increased thermodynamic driving force for interface segregation, because the nucleation of ordered domains on free facets is significantly faster than the bulk diffusion of the segregating species to the interface. In cases where wetting of the substrate or surface facetting occurs, we find that diffusional atomic motion on the surface goes along with an enhanced long-range order.


2014 ◽  
Vol 4 (3) ◽  
pp. 583-598 ◽  
Author(s):  
Franziska Hess ◽  
Herbert Over

In this perspective, we focus on the catalyzed oxidation of CO and HCl over the model catalyst RuO2(110) and how the kinetics of these reactions can only properly be modeled by kinetic Monte Carlo (kMC) simulations when lateral interactions of the surface species are taken into account.


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