Experiment-based deep learning approach for power allocation with a programmable metasurface
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Ray C. C. Cheung | A. Wong | Peixing Li | Jensen Li | Jingxin Zhang | J. Xi
[1] Ray C. C. Cheung,et al. Generation of time-varying orbital angular momentum beams with space-time-coding digital metasurface , 2023, Advanced Photonics.
[2] Bo Xiong,et al. Software-defined nanophotonic devices and systems empowered by machine learning , 2023, Progress in Quantum Electronics.
[3] Huangzhe Lu,et al. Soft Actor–Critic-Driven Adaptive Focusing under Obstacles , 2023, Materials.
[4] C. Chan,et al. Sideband-free space–time-coding metasurface antennas , 2022, Nature Electronics.
[5] Lei Zhang,et al. Artificial Neural Network for Direction‐of‐Arrival Estimation and Secure Wireless Communications Via Space‐Time‐Coding Digital Metasurfaces , 2022, Advanced Optical Materials.
[6] Scott A. Longwell,et al. Metasurface optofluidics for dynamic control of light fields , 2022, Nature Nanotechnology.
[7] Guomin Yang,et al. Recent Progress in Reconfigurable and Intelligent Metasurfaces: A Comprehensive Review of Tuning Mechanisms, Hardware Designs, and Applications , 2022, Advanced Science.
[8] Guomin Yang,et al. Recent Progress in Reconfigurable and Intelligent Metasurfaces: A Comprehensive Review of Tuning Mechanisms, Hardware Designs, and Applications (Adv. Sci. 33/2022) , 2022, Advanced science.
[9] Tianhang Chen,et al. Programmable metasurface RCS prediction under obstacles based on DNN , 2022, Frontiers in Materials.
[10] J. Rho,et al. Reconfigurable Reflective Metasurface Reinforced by Optimizing Mutual Coupling Based on a Deep Neural Network , 2022, Photonics and Nanostructures - Fundamentals and Applications.
[11] I. Kaminer,et al. Homeostatic neuro-metasurfaces for dynamic wireless channel management , 2022, Science advances.
[12] Ming Zheng Chen,et al. Asynchronous Space‐Time‐Coding Digital Metasurface , 2022, Advanced science.
[13] Erping Li,et al. Heterogeneous Transfer‐Learning‐Enabled Diverse Metasurface Design , 2022, Advanced Optical Materials.
[14] Juejun Hu,et al. Active metasurfaces: lighting the path to commercial success , 2022, 2205.14193.
[15] Hua Cheng,et al. Deep‐Learning Enabled Multicolor Meta‐Holography , 2022, Advanced Optical Materials.
[16] B. Alpert,et al. Physics-assisted Generative Adversarial Network for X-Ray Tomography , 2022, Optics express.
[17] Bo Xiong,et al. Pushing the Limits of Functionality‐Multiplexing Capability in Metasurface Design Based on Statistical Machine Learning , 2022, Advanced materials.
[18] Hail Lin,et al. Machine-learning-assisted inverse design of scattering enhanced metasurface. , 2022, Optics express.
[19] Yu Sun,et al. Recovery of continuous 3D refractive index maps from discrete intensity-only measurements using neural fields , 2021, Nature Machine Intelligence.
[20] Yongmin Liu,et al. Electrically Driven Tunable Broadband Polarization States via Active Metasurfaces Based on Joule‐Heat‐Induced Phase Transition of Vanadium Dioxide , 2021, Laser & Photonics Reviews.
[21] Yong Li,et al. Deep learning enables accurate sound redistribution via nonlocal metasurfaces , 2021, Physical Review Applied.
[22] Jiafu Wang,et al. Phase-to-pattern inverse design paradigm for fast realization of functional metasurfaces via transfer learning , 2021, Nature Communications.
[23] Bo Xiong,et al. Realizing Colorful Holographic Mimicry by Metasurfaces , 2021, Advanced materials.
[24] Ming Zheng Chen,et al. A wireless communication scheme based on space- and frequency-division multiplexing using digital metasurfaces , 2021 .
[25] Kaushik Sengupta,et al. A high-speed programmable and scalable terahertz holographic metasurface based on tiled CMOS chips , 2020, Nature Electronics.
[26] Peter R. Wiecha,et al. Deep learning in nano-photonics: inverse design and beyond , 2020, Photonics Research.
[27] Shumin Xiao,et al. Reprogrammable meta-hologram for optical encryption , 2020, Nature Communications.
[28] Wei Ma,et al. Deep learning for the design of photonic structures , 2020, Nature Photonics.
[29] Hualiang Zhang,et al. Electrically reconfigurable non-volatile metasurface using low-loss optical phase-change material , 2020, Nature Nanotechnology.
[30] E. N. Economou,et al. Toward Intelligent Metasurfaces: The Progress from Globally Tunable Metasurfaces to Software‐Defined Metasurfaces with an Embedded Network of Controllers , 2020, Advanced Optical Materials.
[31] N. Al-Dhahir,et al. Reconfigurable Intelligent Surfaces: Principles and Opportunities , 2020, IEEE Communications Surveys & Tutorials.
[32] Vladimir M. Shalaev,et al. Machine learning–assisted global optimization of photonic devices , 2020, Frontiers in Optics and Photonics.
[33] Jiaqi Jiang,et al. Deep neural networks for the evaluation and design of photonic devices , 2020, Nature Reviews Materials.
[34] Anjie Cao,et al. High‐Efficiency Transmissive Programmable Metasurface for Multimode OAM Generation , 2020, Advanced Optical Materials.
[35] Tie Jun Cui,et al. High‐Efficiency Synthesizer for Spatial Waves Based on Space‐Time‐Coding Digital Metasurface , 2020, Laser & Photonics Reviews.
[36] Harry A. Atwater,et al. Electro-Optically Tunable Multifunctional Metasurfaces. , 2020, ACS nano.
[37] Lian Shen,et al. Deep-learning-enabled self-adaptive microwave cloak without human intervention , 2020 .
[38] Bowen Zheng,et al. A Deep Learning Approach for Objective-Driven All-Dielectric Metasurface Design , 2019, ACS Photonics.
[39] J. Rho,et al. Biomimetic Ultra-Broadband Perfect Absorbers Optimised with Reinforcement Learning , 2019, Physical chemistry chemical physics : PCCP.
[40] A. Kildishev,et al. Machine-learning-assisted metasurface design for high-efficiency thermal emitter optimization , 2019, Applied Physics Reviews.
[41] A. Ozcan,et al. Design of task-specific optical systems using broadband diffractive neural networks , 2019, Light: Science & Applications.
[42] Qian Ma,et al. Intelligent metasurface imager and recognizer , 2019, Light: Science & Applications.
[43] T. Cui,et al. Breaking Reciprocity with Space‐Time‐Coding Digital Metasurfaces , 2019, Advanced materials.
[44] Lei Zhou,et al. Tunable/Reconfigurable Metasurfaces: Physics and Applications , 2019, Research.
[45] Chau Yuen,et al. Indoor Signal Focusing with Deep Learning Designed Reconfigurable Intelligent Surfaces , 2019, 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).
[46] Vladimir M. Shalaev,et al. Spatiotemporal light control with active metasurfaces , 2019, Science.
[47] Jianxun Su,et al. Ultrawideband Radar Cross-Section Reduction by a Metasurface Based on Defect Lattices and Multiwave Destructive Interference , 2019, Physical Review Applied.
[48] Yongfeng Li,et al. Deep Learning: A Rapid and Efficient Route to Automatic Metasurface Design , 2019, Advanced science.
[49] Trevon Badloe,et al. Optimisation of colour generation from dielectric nanostructures using reinforcement learning. , 2019, Optics express.
[50] Feng Cheng,et al. Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi‐Supervised Learning Strategy , 2019, Advanced materials.
[51] Qiang Cheng,et al. Space-time-coding digital metasurfaces , 2018, Nature Communications.
[52] Chau Yuen,et al. Reconfigurable Intelligent Surfaces for Energy Efficiency in Wireless Communication , 2018, IEEE Transactions on Wireless Communications.
[53] Michael Mrejen,et al. Plasmonic nanostructure design and characterization via Deep Learning , 2018, Light: Science & Applications.
[54] Yongmin Liu,et al. Deep-Learning-Enabled On-Demand Design of Chiral Metamaterials. , 2018, ACS nano.
[55] W. Cai,et al. A Generative Model for Inverse Design of Metamaterials , 2018, Nano letters.
[56] Zongfu Yu,et al. Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures , 2017, 2019 Conference on Lasers and Electro-Optics (CLEO).
[57] Shuang Zhang,et al. Electromagnetic reprogrammable coding-metasurface holograms , 2017, Nature Communications.
[58] Bo O. Zhu,et al. A Reconfigurable Active Huygens' Metalens , 2017, Advanced materials.
[59] Maokun Li,et al. A programmable metasurface with dynamic polarization, scattering and focusing control , 2016, Scientific Reports.
[60] J. Teng,et al. Optically reconfigurable metasurfaces and photonic devices based on phase change materials , 2015, Nature Photonics.
[61] Alexander Y. Piggott,et al. Inverse design and demonstration of a compact and broadband on-chip wavelength demultiplexer , 2015, Nature Photonics.
[62] Qiang Cheng,et al. Coding metamaterials, digital metamaterials and programmable metamaterials , 2014, Light: Science & Applications.
[63] O. Sigmund,et al. Topology optimization for nano‐photonics , 2011 .
[64] J. Pendry,et al. Three-Dimensional Invisibility Cloak at Optical Wavelengths , 2010, Science.
[65] E. Ulin-Avila,et al. Three-dimensional optical metamaterial with a negative refractive index , 2008, Nature.
[66] Willie J Padilla,et al. Perfect metamaterial absorber. , 2008, Physical review letters.
[67] David R. Smith,et al. Metamaterial Electromagnetic Cloak at Microwave Frequencies , 2006, Science.
[68] Willie J Padilla,et al. Active terahertz metamaterial devices , 2006, Nature.
[69] N. Fang,et al. SubDiffraction-Limited Optical Imaging with a Silver Superlens , 2005, Science.
[70] R. Shelby,et al. Experimental Verification of a Negative Index of Refraction , 2001, Science.
[71] K. Mahmoud,et al. Design of Intelligence Reflector Metasurface Using Deep Learning Neural Network for 6G Adaptive Beamforming , 2022, IEEE Access.
[72] Sylvain Blaize,et al. Engineering colors in all-dielectric metasurfaces: metamodeling approach , 2019 .
[73] Willie J. Padilla,et al. Dynamic electromagnetic metamaterials , 2015 .