Application of Neural Ordinary Differential Equations for Tokamak Plasma Dynamics Analysis

arXiv:2403.01635v1 Announce Type: cross
Abstract: In the quest for controlled thermonuclear fusion, tokamaks present complex challenges in understanding burning plasma dynamics. This study introduces a multi-region multi-timescale transport model, employing Neural Ordinary Differential Equations (Neural ODEs) to simulate the intricate energy transfer processes within tokamaks. Our methodology leverages Neural ODEs for the numerical derivation of diffusivity parameters from DIII-D tokamak experimental data, enabling the precise modeling of energy interactions between electrons and ions across various regions, including the core, edge, …

abstract analysis application arxiv challenges cs.lg differential dynamics energy fusion methodology ordinary physics.plasm-ph plasma processes quest study timescale tokamak transfer transport type understanding