An End-to-End Neural Network for Complex Electromagnetic Simulations-Reference-Cited by-同舟云学术

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An End-to-End Neural Network for Complex Electromagnetic Simulations

Published:2023-10 Issue:10 Volume:22 Page:2522-2526
ISSN:1536-1225
Container-title:IEEE Antennas and Wireless Propagation Letters
language:
Short-container-title:Antennas Wirel. Propag. Lett.

Author:

Zhai Menglin¹^ORCID,Chen Yaobo¹^ORCID,Xu Longting¹^ORCID,Yin Wen-Yan²^ORCID

Affiliation:

1. College of Information Science and Technology, Donghua University, Shanghai, China

2. Innovative Institute of Electromagnetic Information and Electronic Integration, Key Lab of Advanced Micro/Nano Electronic Devices and Smart Systems of Zhejiang Province, College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/7727/10273143/10180004.pdf?arnumber=10180004

Reference15 articles.

1. Application of Deep Learning in FDTD Method

2. A Maxwell's Equations Based Deep Learning Method for Time Domain Electromagnetic Simulations

3. DNNs as Applied to Electromagnetics, Antennas, and Propagation—A Review

4. Machine learning based numerical computation of E-field

5. Squeeze-and-Excitation Networks

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