44 citations · 45 across the 3 of their papers we have counts for
3 papers
physics.comp-ph2026
AI-accelerated metallized -bonding screening for superconductor discovery
Zechen Tang, Wen-Han Dong, Baochun Wu +11
The computational discovery of phonon-mediated superconductors is hindered by the prohibitive cost of density functional perturbation theory (DFPT). Here, guided by the metallized…
physics.comp-ph2024★ 44 cited
Universal materials model of deep-learning density functional theory Hamiltonian
Yuxiang Wang, Yang Li, Zechen Tang +14
Realizing large materials models has emerged as a critical endeavor for materials research in the new era of artificial intelligence, but how to achieve this fantastic and challeng…
cond-mat.supr-con2024★ 1 cited
Enhancement of Ising superconductivity in monolayer NbSe via surface fluorination
Jizheng Wu, Wujun Shi, Chong Wang +3
Recently discovered Ising superconductors have garnered considerable interest due to their anomalously large in-plane upper critical fields (). However, the requisite stron…