170 citations · 292 across the 10 of their papers we have counts for
10 papers
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…
Efficient training for large-scale optical neural network using an evolutionary strategy and attention pruning
Zhiwei Yang, Zeyang Fan, Yihang Lai +4
MZI-based block optical neural networks (BONNs), which can achieve large-scale network models, have increasingly drawn attentions. However, the robustness of the current training a…
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…
Artificial Cnoidal Wave Breathers in Optical Microresonators
Zhonghan Wu, Anni Liu, Yiran Gao +2
Breathers are localized structures that undergo a periodic oscillation in their duration and amplitude. Optical microresonators, benefiting from their high quality factor, provide…
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…
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…
Efficient training and design of photonic neural network through neuroevolution
Tian Zhang, Jia Wang, Yihang Dan +5
Recently, optical neural networks (ONNs) integrated in photonic chips has received extensive attention because they are expected to implement the same pattern recognition tasks in…
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…
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…
Frequency-oriented sub-sampling by photonic Fourier transform and I/Q demodulation
Wenhui Hao, Yitang Dai, Feifei Yin +5
Sub-sampling can acquire directly a passband within a broad radio frequency (RF) range, avoiding down-conversion and low-phase-noise tunable local oscillation (LO). However, sub-sa…