Haozhao Liang

About

Haozhao Liang is an Associate Professor at the University of Tokyo, Japan. His research primarily focuses on nuclear physics, with recent articles exploring topics such as the time-dependent relativistic Hartree-Fock model, nuclear mass predictions using convolutional neural networks, and data-driven density functional models for atomic nuclei. Additionally, he investigates nuclear charge density distributions and magnonic spin-current shot noise in itinerant Fermi gases.