Longfei Zhang

collaborators

2 papers

cond-mat.mtrl-sci2021

Inverse design of glass structure with deep graph neural networks

Qi Wang, Longfei Zhang

Directly manipulating the atomic structure to achieve a specific property is a long pursuit in the field of materials. However, hindered by the disordered, non-prototypical glass s…

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.…

Inverse design of glass structure with deep graph neural networks

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

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