170 citations · 291 across the 8 of their papers we have counts for
8 papers
Spin Elasticity
Zhong-Chen Gao, Tianyi Zhang, Feifei Wang +3
Elasticity has long been regarded as a property exclusive to material media. Here we uncover its hidden existence in the spin degree of freedom. We introduce spin elasticity-an int…
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…
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…