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20182026
most citedEfficient spectrum prediction and inverse design for plasmonic waveguide systems based on artificial neural networks

170 citations · 291 across the 8 of their papers we have counts for

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Showing physics.opticsShow all

5 papers · 1 filter

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.optics2021★ 1 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★ 48 cited

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★ 170 cited

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…