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20172026
most citedFrequency-oriented sub-sampling by photonic Fourier transform and I/Q demodulation

1 citations · 2 across the 5 of their papers we have counts for

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physics.optics2026

Dynamically Reconfigurable Optical Skyrmions Enabled by a Silicon Microring Optical Phased Array for Robust Free-Space Communication

Zili Cai, Tian Zhang, Qi Chen +3

Optical skyrmions offer a robust vectorial information degree of freedom for free-space communication, but practical deployment requires a compact platform capable of active topolo…

physics.optics2025

RoNo: A novel way in generating reconfigurable on-chip nonlinear activation functions

Zili Cai, Tian Zhang, Jian Dai +2

Due to the limitations of Moore's Law and the increasing demand of computing, optical neural network (ONNs) are gradually coming to the stage as an alternative to electrical neural…

physics.optics20211 cited

Programmable Multifunctional Plasmonic Waveguide System based on Coding Metamaterials and Inverse Design

Yihang Dan, Tian Zhang, Jian Dai +1

In this article, we propose a programmable plasmonic waveguide system (PPWS) to achieve several different functions based on metal coding metamaterials (MCMs) and inverse design te…

physics.optics2020

Switching dynamics of reconfigurable perfect soliton crystals in dual-coupled microresonators

Zhonghan Wu, Yiran Gao, Jian Dai +2

Dual-coupled structure is typically used to actively change the local dispersion of microresonator through controllable avoided mode crossings (AMXs). In this paper, we investigate…

physics.optics2019

Machine learning and evolutionary algorithm studies of graphene metamaterials for optimized plasmon-induced transparency

Tian Zhang, Qi Liu, Yihang Dan +4

Machine learning and optimization algorithms have been widely applied in the design and optimization for photonic devices. In this article, we briefly review recent progress of thi…

physics.optics2018

Efficient spectrum prediction and inverse design for plasmonic waveguide systems based on artificial neural networks

Tian Zhang, Jia Wang, Qi Liu +6

In this article, we propose a novel approach to achieve spectrum prediction, parameter fitting, inverse design and performance optimization for the plasmonic waveguide coupled with…