2 papers
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.…
physics.app-ph2018
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…