Electromagnetic Scattering Solver for Metal Nanostructures via Deep Learning-Reference-Cited by-同舟云学术

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Electromagnetic Scattering Solver for Metal Nanostructures via Deep Learning

Published:2021-11-21 Issue: Volume: Page:
ISSN:
Container-title:2021 Photonics & Electromagnetics Research Symposium (PIERS)
language:
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Author:

Wang Yinpeng¹,Li Yongzhong¹,Qi Shutong¹,Ren Qiang¹

Affiliation:

1. Beihang University,Beijing,China,100191

Funder

Nature

National Science and Technology Major Project

Technology Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9694620/9694666/09694820.pdf?arnumber=9694820

Reference25 articles.

1. Three-Dimensional Plasmon Rulers

2. Flownet: Learning optical flow with convolutional networks;dosovitskiy;Physical Review Letters,2019

3. Study on a Poisson’s equation solver based on deep learning technique;tang;IEEE Electrical Design of Advanced Packaging and Systems Symposium (EDAPS),2015

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1. A Born Fourier Neural Operator for Solving Poisson’s Equation with Limited Data and Arbitrary Domain Deformation;IEEE Transactions on Antennas and Propagation;2024

2. Differential Operator Approximation Based Tightly Coupled Multiphysics Solver Using Cascaded Fourier Network;Advanced Theory and Simulations;2022-08-04

3. Predicting surface heat flux on complex systems via Conv-LSTM;Case Studies in Thermal Engineering;2022-05

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