13 citations · 13 across the 2 of their papers we have counts for
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cond-mat.mtrl-sci2024
Large-scale atomistic study of plasticity in amorphous gallium oxide with a machine-learning potential
Jiahui Zhang, Junlei Zhao, Jesper Byggmästar +2
Compared to the widely investigated crystalline polymorphs of gallium oxide (Ga2O3), knowledge about its amorphous state is still limited. With the help of a machine-learning inter…
cond-mat.mtrl-sci2014★ 13 cited
Kinetic Monte Carlo simulations of proton conductivity
T. Masłowski, A. Drzewiński, J. Ulner +4
The kinetic Monte Carlo method is used to model the dynamic properties of proton diffusion in anhydrous proton conductors. The results have been discussed with reference to a two-s…