EMWP-RNN: A Physics-Encoded Recurrent Neural Network for Wave Propagation in Plasmas-Reference-Cited by-同舟云学术

EMWP-RNN: A Physics-Encoded Recurrent Neural Network for Wave Propagation in Plasmas

Published:2024-01 Issue:1 Volume:23 Page:219-223
ISSN:1536-1225
Container-title:IEEE Antennas and Wireless Propagation Letters
language:
Short-container-title:Antennas Wirel. Propag. Lett.

Author:

Qin Yilan¹^ORCID,Fu Haiyang¹^ORCID,Xu Feng¹^ORCID,Jin Yaqiu¹^ORCID

Affiliation:

1. Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), School of Information Science and Engineering, Fudan University, Shanghai, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

China Research Institute of Radio Wave Propagation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/7727/10380962/10271522.pdf?arnumber=10271522

Reference32 articles.

1. Neural network surrogates of Bayesian diagnostic models for fast inference of plasma parameters

2. Plasma production using radiofrequency fields near or below the ion cyclotron range of frequencies

3. Radiation Theory of the Plasma Antenna

4. Inverse design of plasma metamaterial devices with realistic elements

5. Study of the influence of time-varying plasma sheath on radar echo signal

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