Title: Exploration of QCD Matter under Extreme with Machine Learning

Speaker: Prof. ZHOU Kai, The Chinese University of Hong Kong, Shenzhen

Time: 09:00 am, May.8 (Wednesday), 2024 

Place: 1A804, Huizhou Campus

Abstract: 

To explain the usage of deep learning paradigm to explore QCD matter under extreme conditions, especially into inverse problems solving in high energy nuclear physics. To allow for efficient inverse problem solving, well-developed physical priors would be helpful in the solving procedure.