Emi Narita

I research plasmas, which are the fuel of nuclear fusion energy expected as an inexhaustible and environmentally safe energy resource. I perform numerical analysis of heat and particle transport in plasmas and develop numerical models using machine learning to understand transport and predict density and temperature.

Figure (left) The magnetic fusion device ITER, (middle) Visualization of perturbation on the wavenumber space using numerical calculations. We have developed a machine learning model that analyzes the wavenumber space image. (right) The radial profile of temperature predicted by a machine learning model, which can predict temperature much faster than conventional ones.