68 citations · 70 across the 4 of their papers we have counts for
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physics.comp-ph2022★ 1 cited
Uncertainty-aware molecular dynamics from Bayesian active learning for Phase Transformations and Thermal Transport in SiC
Yu Xie, Jonathan Vandermause, Senja Ramakers +3
Machine learning interatomic force fields are promising for combining high computational efficiency and accuracy in modeling quantum interactions and simulating atomistic dynamics.…
cond-mat.mtrl-sci2022★ 1 cited
Effects of thermal, elastic, and surface properties on the stability of SiC polytypes
Senja Ramakers, Anika Marusczyk, Maximilian Amsler +4
SiC polytypes have been studied for decades, both experimentally and with atomistic simulations, yet no consensus has been reached on the factors that determine their stability and…