Zujian Dai

collaborators

2 papers

cs.LG2026

Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials

Shi Yin, Zujian Dai, Xinyang Pan +1

Deep learning methods for electronic-structure Hamiltonian prediction has offered significant computational efficiency advantages over traditional DFT methods, yet the diversity of…

cond-mat.mtrl-sci2025

Topological Origin of Intrinsic High Chern Numbers in Two-Dimensional M $_{2}$ X $_{2}$ Materials

Zujian Dai, Xudong Zhu, Lixin He

Despite sharing a common lattice structure, monolayer M $_{2}$ X $_{2}$ compounds realize quantum anomalous Hall phases with distinct Chern numbers, a striking phenomenon that has not bee…

Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials

Topological Origin of Intrinsic High Chern Numbers in Two-Dimensional M2​X2​ Materials

Topological Origin of Intrinsic High Chern Numbers in Two-Dimensional M $_{2}$ X $_{2}$ Materials