80 citations · 81 across the 4 of their papers we have counts for
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cond-mat.mtrl-sci2020★ 80 cited
Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning
Zhao Fan, Evan Ma
It has been a long-standing materials science challenge to establish structure-property relations in amorphous solids. Here we introduce a rotation-variant local structure represen…
cond-mat.mtrl-sci2020
Predicting the propensity for thermally activated events in metallic glasses via interpretable machine learning
Qi Wang, Jun Ding, Evan Ma
The elementary excitations in metallic glasses (MGs), i.e., processes that involve hopping between nearby sub-basins, underlie many unusual properties of the amorphous alloys.…