A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC

Jun-Qi Tao, Xiang Fan, Yang Liu +4

We develop a neural network model, based on the processes of high-energy heavy-ion collisions, to study and predict several experimental observables in Au+Au collisions. We present…