30 citations · 37 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2021
Neural network based order parameter for phase transitions and its applications in high-entropy alloys
Junqi Yin, Zongrui Pei, Michael Gao
Phase transition is one of the most important phenomena in nature and plays a central role in materials design. All phase transitions are characterized by suitable order parameters…
cond-mat.mtrl-sci2020★ 2 cited
Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: a data-driven approach
Xianglin Liu, Jiaxin Zhang, Junqi Yin +3
High entropy alloys (HEAs) are a series of novel materials that demonstrate many exceptional mechanical properties. To understand the origin of these attractive properties, it is i…
cond-mat.mtrl-sci2019
Robust data-driven approach for predicting the configurational energy of high entropy alloys
Jiaxin Zhang, Xianglin Liu, Sirui Bi +3
High entropy alloys (HEAs) have been increasingly attractive as promising next-generation materials due to their various excellent properties. It's necessary to essentially charact…