Z
Zheyu Fang
Researcher at Peking University
Publications - 152
Citations - 11517
Zheyu Fang is an academic researcher from Peking University. The author has contributed to research in topics: Plasmon & Surface plasmon. The author has an hindex of 41, co-authored 128 publications receiving 9471 citations. Previous affiliations of Zheyu Fang include Nankai University & Rice University.
Papers
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Journal ArticleDOI
Chiral Nanomaterials: Enantiomorphing Chiral Plasmonic Nanostructures: A Counterintuitive Sign Reversal of the Nonlinear Circular Dichroism (Advanced Optical Materials 14/2018)
Joel T. Collins,Xuezhi Zheng,N Braz,N Braz,Eli Slenders,Shuai Zu,Guy A. E. Vandenbosch,Victor Moshchalkov,Zheyu Fang,Marcel Ameloot,Paul A. Warburton,Paul A. Warburton,Ventsislav K. Valev +12 more
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Study of a High-Index Dielectric Non-Hermitian Metasurface and Its Application in Holograms
TL;DR: In this paper , the authors demonstrate that a high-index dielectric Si metasurface with a designed chiral unit structure possesses an exceptional point (EP) when it is described by a non-Hermitian Hamiltonian associated with the transmission matrix.
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Molding 2D Exciton Flux toward Room Temperature Excitonic Devices
Pengfei Qi,Yuchen Dai,Yang Luo,Guan Tao,Wenqi Qian,Zeliang Zhang,Zhi Zhang,Tian Hao Zhang,Lie Lin,Weiwei Liu,Zheyu Fang +10 more
TL;DR: In this paper , the authors review the recent advances in molding 2D exciton flux from basic principle, manipulation, exotic phenomena to promising applications and discuss the opportunities and challenges in pushing the frontiers of room temperature excitonic devices.
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Antenna-mediated coupling of light into Ag nanowire.
TL;DR: The results demonstrate three-arm triangle antenna group fabricated at the incident end can effectively enhance the surface plasmon polariton (SPP) coupling and propagation.
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Self-design of arbitrary polarization-control waveplate via deep neural networks
Zheyu Fang,Zhengchang Liu,Zhibo Dang,Zhixin Liu,Yu Li,Xiao He,Yuchen Dai,Yuxiang Chen,Pu Peng +8 more
TL;DR: In this article , a set of self-designed arbitrary wave plates with high polarization conversion efficiency is presented, combining Bayesian optimization and deep neural networks to design perfect half and quarter waveplates based on metallic nanostructures, which experimentally demonstrate excellent polarization control functionalities with the conversion ratios of 85% and 90%.