3 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.…
cond-mat.mtrl-sci2019
Ab initio modeling of the energy landscape for screw dislocations in body-centered cubic high-entropy alloys
Sheng Yin, Jun Ding, Mark Asta +1
In traditional body-centered cubic (bcc) metals, the core properties of screw dislocations play a critical role in plastic deformation at low temperatures. Recently, much attention…
cond-mat.mtrl-sci2018
Tunable stacking fault energies by tailoring local chemical order in CrCoNi medium-entropy alloys
Jun Ding, Qin Yu, Mark Asta +1
High-entropy alloys (HEAs) are an intriguing new class of metallic materials due to their unique mechanical behavior. Achieving a detailed understanding of structure-property relat…