• Chinese Optics Letters
  • Vol. 19, Issue 1, 011301 (2021)
Lifeng Ma1, Jing Li1, Zhouhui Liu1, Yuxuan Zhang1, Nianen Zhang1, Shuqiao Zheng1, and Cuicui Lu1、2、*
Author Affiliations
  • 1Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of Education, Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems, School of Physics, Beijing Institute of Technology, Beijing 100081, China
  • 2Collaborative Innovation Center of Light Manipulations and Applications, Shandong Normal University, Jinan 250358, China
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    Abstract

    The research on nanophotonic devices has made great progress during the past decades. It is the unremitting pursuit of researchers that realize various device functions to meet practical applications. However, most of the traditional methods rely on human experience and physical inspiration for structural design and parameter optimization, which usually require a lot of resources, and the performance of the designed device is limited. Intelligent algorithms, which are composed of rich optimized algorithms, show a vigorous development trend in the field of nanophotonic devices in recent years. The design of nanophotonic devices by intelligent algorithms can break the restrictions of traditional methods and predict novel configurations, which is universal and efficient for different materials, different structures, different modes, different wavelengths, etc. In this review, intelligent algorithms for designing nanophotonic devices are introduced from their concepts to their applications, including deep learning methods, the gradient-based inverse design method, swarm intelligence algorithms, individual inspired algorithms, and some other algorithms. The design principle based on intelligent algorithms and the design of typical new nanophotonic devices are reviewed. Intelligent algorithms can play an important role in designing complex functions and improving the performances of nanophotonic devices, which provide new avenues for the realization of photonic chips.
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    Lifeng Ma, Jing Li, Zhouhui Liu, Yuxuan Zhang, Nianen Zhang, Shuqiao Zheng, Cuicui Lu. Intelligent algorithms: new avenues for designing nanophotonic devices [Invited][J]. Chinese Optics Letters, 2021, 19(1): 011301
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    Category: Integrated Optics
    Received: Jun. 10, 2020
    Accepted: Sep. 4, 2020
    Posted: Dec. 14, 2020
    Published Online: Dec. 28, 2020
    The Author Email: Cuicui Lu (cuicuilu@bit.edu.cn)