My activities revolve around the use of deep learning for hot plasma physics. During my PhD, I worked on the use of neural networks as surrogate models for electron heat flow modeling to accelerate 2D hydrodynamic simulations. Today, I am developing neural networks for the interpolation of equations of state tables. These are essential for the closure of hydrodynamics systems, particularly for the modeling of hot plasmas formed during experiments with high-energy lasers.