84 citations · 182 across the 10 of their papers we have counts for
4 papers · 1 filter
Machine Learning the Effective Hamiltonian in High Entropy Alloys
Xianglin Liu, Jiaxin Zhang, Markus Eisenbach +1
The development of machine learning sheds new light on the problem of statistical thermodynamics in multicomponent alloys. However, a data-driven approach to construct the effectiv…
Chemical complexity in high entropy alloys: A pair-interaction perspective
Xianglin Liu, Jiaxin Zhang, Sirui Bi +3
The recently proposed pair-interaction model is applied to study a series of refractory high entropy alloys. The results demonstrate the simplicity, robustness, and high accuracy o…
Machine learning modeling of high entropy alloy: the role of short-range order
Xianglin Liu, Jiaxin Zhang, Markus Eisenbach +1
The development of machine learning sheds new light on the traditionally complicated problem of thermodynamics in multicomponent alloys. Successful application of such a method, ho…
Locally self-consistent embedding approach for disordered electronic systems
Yi Zhang, Hanna Terletska, Ka-Ming Tam +4
We present a new embedding scheme for the locally self-consistent method to study disordered electron systems. We test this method in a tight-binding basis and apply it to the sing…