High Energy Density Radiative Transfer in the Diffusion Regime with Fourier Neural Operators

arXiv:2405.04003v1 Announce Type: cross
Abstract: Radiative heat transfer is a fundamental process in high energy density physics and inertial fusion. Accurately predicting the behavior of Marshak waves across a wide range of material properties and drive conditions is crucial for design and analysis of these systems. Conventional numerical solvers and analytical approximations often face challenges in terms of accuracy and computational efficiency. In this work, we propose a novel approach to model Marshak waves using Fourier Neural Operators (FNO). We …

abstract analysis and analysis arxiv behavior cs.lg design diffusion drive energy fourier fundamental fusion heat material operators physics physics.comp-ph process systems transfer type