QCD Phase Diagram at finite Magnetic Field and Chemical Potential: A
Holographic Approach Using Machine Learning
QCD Phase Diagram at finite Magnetic Field and Chemical Potential: A
Holographic Approach Using Machine Learning
By leveraging neural networks, we address the inverse problem of constructing a quantitative 2+1-flavor holographic QCD model based on state-of-the-art lattice QCD data. Our model demonstrates quantitative agreement with the latest lattice QCD results. We construct the full phase diagram at finite magnetic field $B$, baryon chemical potential $\mu_B$ and …