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cond-mat.supr-con2026
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…
cond-mat.str-el2026
Enhancing Neural-Network Variational Monte Carlo through Basis Transformation
Zhixuan Liu, Dongheng Qian, Jing Wang
Neural-network variational Monte Carlo (NNVMC) has emerged as a powerful tool for solving quantum many-body problems, yet systematic pathways for improving its accuracy remain larg…