663 citations · 776 across the 20 of their papers we have counts for
5 papers · 1 filter
Machine Learning for High-entropy Alloys: Progress, Challenges and Opportunities
Xianglin Liu, Jiaxin Zhang, Zongrui Pei
High-entropy alloys (HEAs) have attracted extensive interest due to their exceptional mechanical properties and the vast compositional space for new HEAs. However, understanding th…
Atomic structure generation from reconstructing structural fingerprints
Victor Fung, Shuyi Jia, Jiaxin Zhang +3
Data-driven machine learning methods have the potential to dramatically accelerate the rate of materials design over conventional human-guided approaches. These methods would help…
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…
Antiferromagnetic quantum spin Hall states in iron halogenide
Qian Sui, Jiaxin Zhang, Suhua Jin +2
It is widely known that quantum spin Hall (QSH) insulator can be viewed as two copies of quantum anomalous Hall (QAH) insulator with opposite local magnetic moments. However, nearl…
Origin of sawtooth domain walls in ferroelectrics
J. Zhang, Y. -J. Wang, J. Liu +6
Domains and domain walls are among the key factors that determine the performance of ferroelectric materials. In recent years, a unique type of domain walls, i.e., the sawtooth-sha…