E. Ma

activity

20152020

most citedPredicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning

80 citations · 81 across the 4 of their papers we have counts for

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3 papers · 1 filter

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 $β$ events in metallic glasses via interpretable machine learning

Qi Wang, Jun Ding, Evan Ma

The elementary excitations in metallic glasses (MGs), i.e., $β$ processes that involve hopping between nearby sub-basins, underlie many unusual properties of the amorphous alloys.…

cond-mat.mtrl-sci2015

Second-Nearest-Neighbor Correlations from Connection of Atomic Packing Motifs in Metallic Glasses and Liquids

Jun Ding, Evan Ma, Mark Asta +1

Using molecular dynamics simulations, we have studied the atomic correlations characterizing the second peak in the radial distribution function (RDF) of metallic glasses and liqui…

Predicting orientation-dependent plastic susceptibility from static structure in amorphous solids via deep learning

Predicting the propensity for thermally activated β events in metallic glasses via interpretable machine learning

Second-Nearest-Neighbor Correlations from Connection of Atomic Packing Motifs in Metallic Glasses and Liquids

Predicting the propensity for thermally activated $β$ events in metallic glasses via interpretable machine learning