Deep-Learning-Empowered Holographic Metasurface with Simultaneously Customized Phase and Amplitude
Ruichao Zhu(Air Force Engineering University), Cheng‐Wei Qiu(University of the Witwatersrand), Tianshuo Qiu(Air Force Engineering University), Xingsi Liu(National University of Singapore), Xinmin Fu(Air Force Engineering University), Tonghao Liu(PLA Rocket Force University of Engineering), Yajuan Han(Air Force Engineering University), Jiafu Wang(Air Force Engineering University), Zuntian Chu, Shaobo Qu(Air Force Engineering University), Sai Sui(Air Force Engineering University)
Cited by 46
Related Papers
Potassium–sodium niobate based lead-free ceramics: novel electrical energy storage materials
|Journal of Materials Chemistry A|2016|596
Significantly enhanced recoverable energy storage density in potassium–sodium niobate-based lead free ceramics
|Journal of Materials Chemistry A|2016|519
Deep Learning: A Rapid and Efficient Route to Automatic Metasurface Design
|Advanced Science|2019|423
Ultra-wideband polarization conversion metasurfaces based on multiple plasmon resonances
|Journal of Applied Physics|2014|379
Coherent steering of nonlinear chiral valley photons with a synthetic Au–WS2 metasurface
|Nature Photonics|2019|328