College Physics ›› 2025, Vol. 44 ›› Issue (6): 39-.doi: 10.16854/j.cnki.1000-0712.240595

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The exploration of artificial intelligent method in physics teaching-nonlinear #br# layered topological structure in photonic neural network#br#

LI Zhitong1,2, YU Ke3, LI Yunheng3, ZHU Tianyu4, SHAN Sichao1, GU Yazhou1, YE Han1,5   

  1. 1. State Key Laboratory of Information Photonics and Optical Communications, 
    Beijing University of Posts and Telecommunications, Beijing 100876, China; 
    2. School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China; 
    3. School of Future, Beijing University of Posts and Telecommunications, Beijing 100876, China; 
    4. School of Information and Communicaion Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China; 
    5. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:2024-12-22 Revised:2025-02-27 Online:2025-07-15 Published:2025-08-09

Abstract: In order to motivate and inspire the research interests of undergraduate students and help them to learn more about the frontier research area, we provide an example on how to combine the photonic neural network into the frontier research field of physics, specifically the layered structure in topological photonics. The results can be used as an open project for the frontier research courses for physics major senior undergraduate student. It can help them to deeply understand the basic models in topological photonics and artificial intelligent modeling method such as neural network. This paper provides a road towards developing the fusion between research and teaching. 

Key words:  photonic neural network, topological edge state, nonlinear photonics