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RESEARCH PAPER · Advanced Photonics Research · 2022

Conditional Generative Adversarial Networks for Inverse Design of Multifunctional Metasurfaces

Mehdi Kiani, Jalal Kiani, Mahsa Zolfaghari

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Conditional Generative Adversarial Networks for Inverse Design of Multifunctional MetasurfacesOriginalIDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics1Review of Generative Models for the Inverse Design of Nanophotonic Metasurfaces4Multifunctional Metasurface Inverse Design Based on Ultra‐Wideband Spectrum Prediction Neural Network23Transfer learning for inverse design of tunable graphene-based meta-surfaces8Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances21AI-Based Metamaterial Design95Physics-driven unsupervised deep learning network for programmable metasurface-based beamforming12A Dual-Path Generative Adversarial Network-based inverse design method for broadband RCS reduction metasurface element patterns8Synergizing deep learning and phase change materials for four-state broadband multifunctional metasurfaces in the visible range5The transformational dive of nanophotonics inverse design from deep learning to artificial general intelligence3Deep Learning-Driven Design of Freeform Metasurfaces for Holographic Imaging0Development of an injection molding production condition inference system based on diffusion model15Generalizable Metamaterials Design Techniques Inspire Efficient Mycelial Materials Inverse Design1Progressive DNN-metaheuristics for programmable broadband mechanical metamaterial absorbers design19Inverse design of photonic crystal fibers for dispersion engineering using neural networks11A Data-Driven Approach for Metasurface Design Using Conditional Genertaive Adversarial Network (cGAN)0Machine‐learning‐assisted photonic device development: a multiscale approach from theory to characterization19Polarization dependent bound states in continuum in a tetramer metasurface discovered by random forest algorithm3Inverse Design of Programmable Coding Metasurface Based on Deep Convolutional Generative Adversarial Networks0Physics‐Informed Deep Learning Method for Real‐Time Multi‐Harmonic Beamforming Based on Space‐Time‐Coding Metasurface2Artificial intelligence empowered metasurface design1Artificial intelligence-enabled metasurface design: a functional perspective0Machine learning-based methods for frequency selective surfaces and metasurfaces1Diffusion Model Inverse Modeling and Applications to Microwave Filters1Deep learning in photonic device development: nuances and opportunities1Preventing Structural Fragmentation in Metasurface Inverse Design via 2-D Fourier Series and Boundary Optimization0Rapid Inverse Design of Microstrip Antennas Via Physics-Driven Curriculum Learning and Closed-Loop Anchor Optimization0Efficient RIS Inverse Design Enabled by Microwave Network Decoupling and Active Learning0Recent advances in deep learning RF applications and metamaterial characteristics prediction0Inverse design of discrete pixelated metasurfaces via masked spectrum-guided diffusion0

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  1. IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics

    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2023-08-04

    Jia‐Qi Yang, Yucheng Xu, Jia-Lei Shen, Kebin Fan, De‐Chuan Zhan, Yang Yang

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  2. Review of Generative Models for the Inverse Design of Nanophotonic Metasurfaces

    Applied Science and Convergence Technology · 2023-11-30

    Seunghwan Moon, Jihun Kang, Jong‐Souk Yeo

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  3. Multifunctional Metasurface Inverse Design Based on Ultra‐Wideband Spectrum Prediction Neural Network

    Advanced Optical Materials · 2023-12-13

    Yong Li, Yu Zhang, Yue Wang, Jinxing Li, Xiaoyang Jiang, Guohui Yang, Kuang Zhang, Yueyi Yuan, Jiahui Fu, Xiaoguang Di, Chunhui Wang

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  4. Transfer learning for inverse design of tunable graphene-based meta-surfaces

    Journal of Materials Science · 2024-02-01

    Mehdi Kiani, Mahsa Zolfaghari, Jalal Kiani

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  5. Synergy between AI and Optical Metasurfaces: A Critical Overview of Recent Advances

    Photonics · 2024-05-09

    Zoran Jakšić

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  6. AI-Based Metamaterial Design

    ACS Applied Materials & Interfaces · 2024-05-29

    Ece Tezsezen, Defne Yigci, Abdollah Ahmadpour, Savaş Taşoğlu

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  7. Physics-driven unsupervised deep learning network for programmable metasurface-based beamforming

    iScience · 2024-07-26

    Jianghan Bao, Weihan Li, Siqi Huang, Wenming Yu, Che Liu, Tie Jun Cui

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  8. A Dual-Path Generative Adversarial Network-based inverse design method for broadband RCS reduction metasurface element patterns

    Optics and Lasers in Engineering · 2024-08-02

    Yunfei Liu, Alamusi Bai, Yukun Qiu, Yilei Zhang, Zhengang Lu, Heyan Wang, Jiubin Tan

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  9. Synergizing deep learning and phase change materials for four-state broadband multifunctional metasurfaces in the visible range

    Optics & Laser Technology · 2024-08-31

    Md. Ehsanul Karim, Md. Redwanul Karim, Sajid Muhaimin Choudhury

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  10. The transformational dive of nanophotonics inverse design from deep learning to artificial general intelligence

    APL Photonics · 2024-10-01

    Qizhou Wang, Yushu Zhang, Arturo Burguete Lopez, Sergey A. Rodionov, Andrea Fratalocchi

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  11. Deep Learning-Driven Design of Freeform Metasurfaces for Holographic Imaging

    International Symposium on Antennas, Propagation and EM Theory (ISAPE) · 2024-10-23

    X. F. Liu, Xianbo Cao, Tao Hong, Wen Ting Jiang

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  12. Development of an injection molding production condition inference system based on diffusion model

    Journal of Manufacturing Systems · 2025-01-23

    Joon-Young Kim, Heekyu Kim, Keonwoo Nam, Daeyoung Kang, Seunghwa Ryu

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  13. Generalizable Metamaterials Design Techniques Inspire Efficient Mycelial Materials Inverse Design

    ACS Biomaterials Science & Engineering · 2025-02-03

    Joseph Zavorskas, Harley Edwards, Mark R. Marten, Steven D. Harris, Ranjan Srivastava

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  14. Progressive DNN-metaheuristics for programmable broadband mechanical metamaterial absorbers design

    International Journal of Mechanical Sciences · 2025-04-21

    Taeyeon Park, Dowon Noh, Dowon Noh, Jeongwoo Lee, Jieun Park, Hwanju Lim, Jinwoo Park, Wonjoon Choi, Gunwoo Noh

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  15. Inverse design of photonic crystal fibers for dispersion engineering using neural networks

    Optics Communications · 2025-05-05

    Daniel Rodriguez-Guillen, Antonio Diez, Miguel Vicente Andrés, Lorena Velázquez-Ibarra

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  16. A Data-Driven Approach for Metasurface Design Using Conditional Genertaive Adversarial Network (cGAN)

    IEEE Wireless Antenna and Microwave Symposium (WAMS) · 2025-06-05

    Jogendra Singh, K. K. Srivastava, Rajan Agrahari

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  17. Machine‐learning‐assisted photonic device development: a multiscale approach from theory to characterization

    Nanophotonics · 2025-07-03

    Yuheng Chen, Alexander Montes McNeil, Taehyuk Park, Blake A. Wilson, Vaishnavi Iyer, Michael Bezick, Jae-Ik Choi, Rohan Ojha, Pravin Mahendran, Daksh Kumar Singh, Geetika Chitturi, Peigang Chen, Trang Do, Alexander V. Kildishev, Vladimir M. Shalaev, Michael G. Moebius, Wenshan Cai, Yongmin Liu, Alexandra E. Boltasseva

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  18. Polarization dependent bound states in continuum in a tetramer metasurface discovered by random forest algorithm

    Scientific Reports · 2025-07-31

    Jia Chen, Zhenyu Zhao, Jun Wang

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  19. Inverse Design of Programmable Coding Metasurface Based on Deep Convolutional Generative Adversarial Networks

    Journal of Electronic Materials · 2025-09-02

    Shanhui Liu, Nengwu Hu, Peng Xu, Qiuhuang Chen, Jinghui Fang, Jun Lou, Ying Tian, Xufeng Jing

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  20. Physics‐Informed Deep Learning Method for Real‐Time Multi‐Harmonic Beamforming Based on Space‐Time‐Coding Metasurface

    Advanced Electronic Materials · 2025-12-22

    Jianghan Bao, Che Liu, Yi Ning Zheng, Lei Zhang, Wen Ming Yu, Lianlin Li, Tie Jun Cui

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  21. Artificial intelligence empowered metasurface design

    Intelligent Opto-Electronics · 2026-01-01

    Yuhang Wang, Xingwen Tang, Chuanbao Liu, Wei Ma

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  22. Artificial intelligence-enabled metasurface design: a functional perspective

    Intelligent Opto-Electronics · 2026-01-01

    Chenqian Wang, Zhuoran Zhang, Zi Wang, Weijin Kong, Chinhua Wang, Xin Hu, Qian Sun

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  23. Machine learning-based methods for frequency selective surfaces and metasurfaces

    Journal of Electromagnetic Waves and Applications · 2026-01-07

    Biswarup Rana, Hong Ic-Pyo

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  24. Diffusion Model Inverse Modeling and Applications to Microwave Filters

    Electronics · 2026-01-26

    Shu-Li Zhao, Jingchun Wu, Ledong Chen, Mengjun Wang, Zhi-Tao Xiao

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  25. Deep learning in photonic device development: nuances and opportunities

    npj Nanophotonics · 2026-01-28

    Vaishnavi Iyer, Blake A. Wilson, Yuheng Chen, Alexander V. Kildishev, Vladimir M. Shalaev, Alexandra E. Boltasseva

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  26. Preventing Structural Fragmentation in Metasurface Inverse Design via 2-D Fourier Series and Boundary Optimization

    IEEE Antennas and Wireless Propagation Letters · 2026-06-09

    Yong Li, Xiaoyang Jiang, Yueyi Yuan, Jinxing Li, Yuxiang Wang, Kuang Zhang, Jiahui Fu, Guohui Yang, Chunhui Wang

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  27. Rapid Inverse Design of Microstrip Antennas Via Physics-Driven Curriculum Learning and Closed-Loop Anchor Optimization

    IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI) · 2026-07-01

    Zhiyu Han, Xiaolin Jin, Wenkai Deng, Wentao Xu, Luo Huang, Tao Huang

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  28. Efficient RIS Inverse Design Enabled by Microwave Network Decoupling and Active Learning

    IEEE Transactions on Microwave Theory and Techniques · 2026-08-17

    Yan Liu, Weihang Yu, Jiaming Wei, Ximei Zhao

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  29. Recent advances in deep learning RF applications and metamaterial characteristics prediction

    Discover Computing · 2026-09-11

    Nitin Sharma, Sunil Kumar, Harbinder Singh, Manish Sharma, Ramaprasad Poojary

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  30. Inverse design of discrete pixelated metasurfaces via masked spectrum-guided diffusion

    Optics & Laser Technology · 2026-09-26

    Yong Li, Xiaoyang Jiang, Jinxing Li, Yueyi Yuan, Yuxiang Wang, Kuang Zhang, Jiahui Fu, Guohui Yang, Chunhui Wang

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