Differentiable modeling to unify machine learning and physical models and advance Geosciences. - Chaopeng Shen; Alison P. Appling; Pierre Gentine; Toshiyuki Bandai; Hoshin V. Gupta; Alexandre Tartakovsky; Marco Baity-Jesi; Fabrizio Fenicia; Daniel Kifer; Li Li; Xiaofeng Liu; Wei Ren; et al. (CoRR, 2023)

Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning. - Haoyu Ji; Yalan Song; Tadd Bindas; Chaopeng Shen; Yuan Yang; Ming Pan; Jiangtao Liu; Farshid Rahmani; Ather Abbas; Hylke E. Beck; Kathryn Lawson; Yoshihide Wada (CoRR, 2025)