Neural network-based surrogate model for 3D edge-plasma transport in the standard configuration of W7-X

This paper presents a neural‐network surrogate model for Wendelstein 7-X (W7-X) edge transport simulations, trained on an EMC3-EIRENE dataset that spans nearly the entire operating-parameter space currently explored in the W7-X standard configuration. The model uses an autoencoder to compress EMC3-E...

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Autors principals:	Y. Luo, S. Xu, Y. Liang, E. Wang, J. Cai, A. Knieps, R. Pei, M. Tan, Y. Feng, D. Reiter, S. Brezinsek, D. Harting, M. Krychowiak, D. Gradic, M. Jakubowski, the W7-X Team
Format:	Artigo
Idioma:	Inglês
Publicat:	IOP Publishing 2025-01-01
Col·lecció:	Nuclear Fusion
Matèries:	machine learning EMC3-EIRENE edge plasma transport Wendelstein 7-X
Accés en línia:	https://doi.org/10.1088/1741-4326/ae203d
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