Adaptable Hamiltonian neural networks. - Chen-Di Han; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2021)

Tomography of time-dependent quantum spin networks with machine learning. - Chen-Di Han; Bryan Glaz; Mulugeta A. Haile; Ying-Cheng Lai (CoRR, 2021)

Generating extreme quantum scattering in graphene with machine learning. - Chen-Di Han; Ying-Cheng Lai (CoRR, 2022)

MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction. - Chen-Di Han; Chun-Chun Wang; Li Huang; Xing Chen 001 (Briefings Bioinform., 2023)