80 citations · 81 across the 4 of their papers we have counts for
4 papers
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…
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.…
Highly Deformable and Mobile Palladium Nanocrystals as Efficient Carbon Scavengers
Peng-Han Lu, De-Gang Xie, Bo-Yu Liu +7
Fouling of surfaces leads to performance degradation in many energy-intensive industrial processes, but the present solutions are either too complicated to be routinely used or inc…
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…