Speaker
Xun Chen
(University of South China)
Description
In this talk, I will introduce our recent works on the application of machine learning in the holographic QCD. Using the machine learning, we can construct the holographic model with lattice EOS. We calculated the heavy quark potential, jet queching parameters and so on based on our model. Combining the machine learning with hadron spectrum, we can also construct the holographich model which can describe the spectrum well.
