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20202026
most citedA Transferable Machine-learning Scheme from Pure Metals to Alloys in Predicting Adsorption Energies

3 citations · 7 across the 11 of their papers we have counts for

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Showing 2023Show all

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cond-mat.mtrl-sci2023

Correlating Local Lattice Distortion with Dislocation Pinning in Refractory High-Entropy Alloys

Zhiling Luo, Wang Gao, Qing Jiang

Local lattice distortion (LLD) of refractory high-entropy alloys (RHEAs) plays an essential role in mechanical properties and phase stability. However, the random distribution of m…

cond-mat.mtrl-sci2023

A Local Concentration-based Descriptor Predicting the Stacking Fault Energy of Refractory High Entropy Alloys

Cong Ma, Wang Gao, Qing Jiang

Stacking fault energy (SFE) is an essential parameter for characterizing mechanical properties. However, in high entropy alloys (HEAs), the local chemical environment varies signif…