5 citations · 6 across the 4 of their papers we have counts for
4 papers
Machine learning reveals common features of unconventional superconductors with high transition temperatures
Haosheng Xu, Dongheng Qian, Yijun Yu +1
Superconductors with high critical temperatures that emerges beyond the phonon-mediated regime are usually considered unconventional in nature, yet unlike conventional superconduct…
Design Topological Materials by Reinforcement Fine-Tuned Generative Model
Haosheng Xu, Dongheng Qian, Zhixuan Liu +2
Topological insulators (TIs) and topological crystalline insulators (TCIs) are materials with unconventional electronic properties, making their discovery highly valuable for pract…
Predicting Many Crystal Properties via an Adaptive Transformer-based Framework
Haosheng Xu, Dongheng Qian, Jing Wang
Machine learning has revolutionized many fields, including materials science. However, predicting properties of crystalline materials using machine learning faces challenges in inp…
Isolated nearly flat higher Chern band in monolayer transition metal trihalides
Kejie Bao, Huan Wang, Jiaxuan Guo +3
The interplay between non-trivial topology and strong electron interaction can generate a variety of exotic quantum matter. Here we theoretically propose that monolayer transition…