Capturing dynamical correlations using implicit neural representations. - Sathya R. Chitturi; Zhurun Ji; Alexander Petsch; Cheng Peng 012; Zhantao Chen; Rajan Plumley; Mike Dunne; Sougata Mardanya; Sugata Chowdhury; Hongwei Chen; Arun Bansil; Adrian E. Feiguin; et al. (CoRR, 2023)

Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics. - Zhantao Chen; Cheng Peng 012; Alexander N. Petsch; Sathya R. Chitturi; Alana Okullo; Sugata Chowdhury; Chun Hong Yoon; Joshua J. Turner (CoRR, 2023)

Bayesian experimental design and parameter estimation for ultrafast spin dynamics. - Zhantao Chen; Cheng Peng 012; Alexander N. Petsch; Sathya R. Chitturi; Alana Okullo; Sugata Chowdhury; Chun Hong Yoon; Joshua J. Turner (Mach. Learn. Sci. Technol., 2023)

Physics-Guided Dual Implicit Neural Representations for Source Separation. - Yuan Ni; Zhantao Chen; Alexander N. Petsch; Edmund Xu; Cheng Peng 012; Alexander I. Kolesnikov; Sugata Chowdhury; Arun Bansil; Jana B. Thayer; Joshua J. Turner (CoRR, 2025)