Development of a data-driven neural network model for electron thermal transport in NSTX

Development of a data-driven neural network model for electron thermal transport in NSTX

A data-driven electron thermal transport neural network (ETT-NN) model, trained on TRANSP interpretative analysis results of National Spherical Torus Experiment (NSTX), was developed to enable faster and more accurate ETT computation for spherical tokamaks (STs). The model incorporates both convolut...

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Bibliographic Details
Main Authors: H. Chung, C.Y. Lee, G.J. Choi, S.M. Kaye, B.P. LeBlanc, J.W. Berkery, Y.-S. Na
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Nuclear Fusion
Subjects:
NSTX
neural network
electron thermal transport
turbulence
spherical tokamak
Online Access:https://doi.org/10.1088/1741-4326/adec01
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https://doi.org/10.1088/1741-4326/adec01

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