Modeling of electron nonlocal transport in plasmas using artificial neural networks
Idioma
EN
Article de revue
Este ítem está publicado en
Physical Review E. 2022-05-06, vol. 105, n° 5
Resumen en inglés
This article presents the use of artificial neural networks (ANN) to predict nonlocal heat flux transport within hydrodynamic simulations. Several cases of laser driven ablation of a plastic target are considered. The ...Leer más >
This article presents the use of artificial neural networks (ANN) to predict nonlocal heat flux transport within hydrodynamic simulations. Several cases of laser driven ablation of a plastic target are considered. The database for the ANN training phase is built using the transport module of the hydrodynamic code CHIC. It covers a range of parameters characteristic of laser experiments in the context of high-energy-density physics. Results show that an ANN can efficiently replace a module of nonlocal transport in one- and two-dimensional hydrodynamic simulations, with an error less than 3% in a radius of 0.5μm and an average computation gain of a factor 433 in two dimensions.< Leer menos
Centros de investigación