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Predictions of resonant mode characteristics for terahertz quantum cascade lasers with distributed feedback utilizing machine learning

  • Published:2021-05-04 Issue:10 Volume:29 Page:15309
  • ISSN:1094-4087
  • Container-title:Optics Express
  • language:en
  • Short-container-title:Opt. Express

Author:

Tang Ping,Chi Xiaomei,Chen Bo,Wu Chongzhao

Funder

Natural Science Foundation of Shanghai

Shanghai Sailing Program

Shanghai Jiao Tong University

Science and Technology Commission of Shanghai Municipality

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Advances in machine learning optimization for classical and quantum photonics;Journal of the Optical Society of America B;2024-02-01

2. Hollow-Core Metallic Waveguide-Based Molecular Sensing in Terahertz to Mid-Infrared Spectral Range;IEEE Sensors Journal;2023-12-01

3. Optimization of a quantum cascade laser cavity for single-spatial-mode operation via machine learning;APL Machine Learning;2023-10-20

4. A physics-driven neural network framework for end-to-end inverse design of metasurface-based holograms;2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz);2023-09-17

5. Application of Machine Learning to Quantum Cascade Laser Design;2023 57th Annual Conference on Information Sciences and Systems (CISS);2023-03-22
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