Plasma surrogate modelling using Fourier neural operators

Plasma surrogate modelling using Fourier neural operators

Predicting plasma evolution within a Tokamak reactor is crucial to realizing the goal of sustainable fusion. Capabilities in forecasting the spatio-temporal evolution of plasma rapidly and accurately allow us to quickly iterate over design and control strategies on current Tokamak devices and future...

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Bibliographic Details
Main Authors: Vignesh Gopakumar, Stanislas Pamela, Lorenzo Zanisi, Zongyi Li, Ander Gray, Daniel Brennand, Nitesh Bhatia, Gregory Stathopoulos, Matt Kusner, Marc Peter Deisenroth, Anima Anandkumar, the JOREK Team, MAST Team
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Nuclear Fusion
Subjects:
machine learning
MHD
plasma confinement
surrogate model
neural operators
digital twin
Online Access:https://doi.org/10.1088/1741-4326/ad313a

Internet

https://doi.org/10.1088/1741-4326/ad313a

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