Data-Driven Modeling of Landau Damping by Fourier Neural Operator-Reference-Cited by-同舟云学术

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Data-Driven Modeling of Landau Damping by Fourier Neural Operator

Published:2023-08-15 Issue: Volume: Page:
ISSN:
Container-title:2023 International Applied Computational Electromagnetics Society Symposium (ACES-China)
language:
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Author:

Wei Shichen¹,Liu Yuhong¹,Fu Haiyang¹,Dong Chuanfei²,Wang Liang³

Affiliation:

1. Fudan University,Key Lab for Information Science of Electromagnetic Waves (MoE),Shanghai,P. R. China

2. Boston University,Department of Astronomy,Boston,Massachusetts,USA

3. Princeton University,Department of Astrophysical Sciences and Princeton Plasma Physics Laboratory,Princeton,New Jersey,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10249211/10249015/10249492.pdf?arnumber=10249492

Reference15 articles.

1. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

2. Discontinuous Galerkin algorithms for fully kinetic plasmas

3. Physics-Informed Deep Neural Network for Inhomogeneous Magnetized Plasma Parameter Inversion

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