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Multifunctional Metasurface Design with a Generative Adversarial Network
v1v2 (latest)

Multifunctional Metasurface Design with a Generative Adversarial Network

Advanced Optical Materials (Adv. Opt. Mater.), 2019
13 August 2019
S. An
B. Zheng
H. Tang
M. Shalaginov
Li Zhou
Hang Li
T. Gu
Juejun Hu
Clayton Fowler
Hualiang Zhang
ArXiv (abs)PDFHTML

Papers citing "Multifunctional Metasurface Design with a Generative Adversarial Network"

14 / 14 papers shown
Diffusion-Based Electromagnetic Inverse Design of Scattering Structured Media
Diffusion-Based Electromagnetic Inverse Design of Scattering Structured Media
Mikhail Tsukerman
Konstantin Grotov
Pavel Ginzburg
DiffMMedIm
131
0
0
07 Nov 2025
Data driven approaches in nanophotonics: A review of AI-enabled metadevices
Data driven approaches in nanophotonics: A review of AI-enabled metadevices
Huanshu Zhang
Lei Kang
Sawyer D. Campbell
Jacob T. Young
Douglas H. Werner
AI4CE
230
4
0
30 Sep 2025
Anchor-Controlled Generative Adversarial Network for High-Fidelity
  Electromagnetic and Structurally Diverse Metasurface Design
Anchor-Controlled Generative Adversarial Network for High-Fidelity Electromagnetic and Structurally Diverse Metasurface Design
Yunhui Zeng
Hongkun Cao
Xin Jin
177
8
0
29 Aug 2024
Generative Inverse Design of Metamaterials with Functional Responses by
  Interpretable Learning
Generative Inverse Design of Metamaterials with Functional Responses by Interpretable LearningAdvanced Intelligent Systems (Adv. Intell. Syst.), 2023
Wei Chen
Rachel Sun
Doksoo Lee
Carlos M. Portela
Wei Chen
AI4CE
478
15
0
08 Dec 2023
A Surrogate-Assisted Extended Generative Adversarial Network for
  Parameter Optimization in Free-Form Metasurface Design
A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface DesignNeural Networks (Neural Netw.), 2023
Manna Dai
Yang Jiang
Fengxia Yang
Joyjit Chattoraj
Yingzhi Xia
Xinxing Xu
Weijiang Zhao
M. Dao
Yong Liu
GAN
222
9
0
18 Oct 2023
Performance Comparison of Design Optimization and Deep Learning-based
  Inverse Design
Performance Comparison of Design Optimization and Deep Learning-based Inverse Design
Min-seok Jwa
Jihoon Kim
S. Shin
Ah-hyeon Jin
Dongju Shin
Namwoo Kang
AI4CE
304
1
0
23 Aug 2023
Data-Driven Design for Metamaterials and Multiscale Systems: A Review
Data-Driven Design for Metamaterials and Multiscale Systems: A ReviewAdvances in Materials (AM), 2023
Doksoo Lee
Wei Chen
Liwei Wang
Yu-Chin Chan
Wei Chen
AI4CE
251
185
0
01 Jul 2023
Diffusion Probabilistic Model Based Accurate and High-Degree-of-Freedom
  Metasurface Inverse Design
Diffusion Probabilistic Model Based Accurate and High-Degree-of-Freedom Metasurface Inverse Design
Zezhou Zhang
Chuan Yang
Yifeng Qin
Hao Feng
Jiqiang Feng
Hongbin Li
DiffM
220
53
0
25 Apr 2023
Generating extreme quantum scattering in graphene with machine learning
Generating extreme quantum scattering in graphene with machine learningPhysical review B (PRB), 2022
Chen-Di Han
Y. Lai
192
5
0
13 Dec 2022
Inverse Design and Experimental Verification of a Bianisotropic
  Metasurface Using Optimization and Machine Learning
Inverse Design and Experimental Verification of a Bianisotropic Metasurface Using Optimization and Machine Learning
Stewart Pearson
Parinaz Naseri
S. Hum
141
0
0
28 Mar 2022
t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets
  through Active Learning
t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
Doksoo Lee
Yu-Chin Chan
Wei Chen
Liwei Wang
Anton van Beek
Wei Chen
AI4CE
380
34
0
21 Feb 2022
Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in
  Metasurfaces
Deep Convolutional Neural Networks to Predict Mutual Coupling Effects in MetasurfacesAdvanced Optical Materials (AOM), 2021
S. An
B. Zheng
M. Shalaginov
H. Tang
Hang Li
...
K. Richardson
T. Gu
Juejun Hu
Clayton Fowler
Hualiang Zhang
136
84
0
02 Feb 2021
Radiation pattern prediction for Metasurfaces: A Neural Network based
  approach
Radiation pattern prediction for Metasurfaces: A Neural Network based approachItalian National Conference on Sensors (INS), 2020
Hamidreza Taghvaee
Akshay Jain
Xavier Timoneda
C. Liaskos
S. Abadal
Eduard Alarcón
A. Cabellos-Aparicio
AI4CE
141
20
0
15 Jul 2020
Deep neural networks for the evaluation and design of photonic devices
Deep neural networks for the evaluation and design of photonic devices
Jiaqi Jiang
Ming-Keh Chen
Jonathan A. Fan
297
485
0
30 Jun 2020
1
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