Calculation of proper energy barriers for atomistic kinetic Monte Carlo simulations on rigid lattice with chemical and strain field long-range effects using artificial neural networks

2010 ◽  
Vol 132 (7) ◽  
pp. 074507 ◽  
Author(s):  
N. Castin ◽  
L. Malerba
Keyword(s):  
Neural Networks ◽  
Monte Carlo ◽  
Artificial Neural Networks ◽  
Monte Carlo Simulations ◽  
Long Range ◽  
Strain Field ◽  
Kinetic Monte Carlo ◽  
Rigid Lattice ◽  
Kinetic Monte Carlo Simulations ◽  
Proper Energy

scholarly journals Application of artificial neural networks for rigid lattice kinetic Monte Carlo studies of Cu surface diffusion

2020 ◽  
Vol 183 ◽  
pp. 109789 ◽  
Author(s):  
Jyri Kimari ◽  
Ville Jansson ◽  
Simon Vigonski ◽  
Ekaterina Baibuz ◽  
Roberto Domingos ◽  
...  
Keyword(s):  
Neural Networks ◽  
Monte Carlo ◽  
Artificial Neural Networks ◽  
Surface Diffusion ◽  
Kinetic Monte Carlo ◽  
Rigid Lattice ◽  
Monte Carlo Studies ◽  
Artificial Neural

Adatom Diffusion on Strained Si(001)-(2×1) Surface

2002 ◽  
Vol 749 ◽  
Author(s):  
Antti Kuronen ◽  
Krister Henriksson ◽  
Kimmo Kaski
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Silicon Substrate ◽  
Strain Field ◽  
Kinetic Monte Carlo ◽  
Substrate Surface ◽  
Strained Si ◽  
Adatom Diffusion ◽  
Different Temperatures ◽  
Kinetic Monte Carlo Simulations

ABSTRACTThe effects of a buried germanium island inside silicon substrate on the silicon adatom diffusion on the substrate surface have been studied by kinetic Monte Carlo simulations. The confinement of adatoms caused by the strain field of the germanium island can clearly be seen. Moreover, due to the anisotropy in adatom diffusion the confinement in directions parallel and perpendicular to the dimer rows of the surface take place in different temperatures.

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