Intelligent algorithms: new avenues for designing nanophotonic devices [Invited]

作     者：Lifeng Ma Jing Li Zhouhui Liu Yuxuan Zhang Nianen Zhang Shuqiao Zheng Cuicui Lu 马丽凤;李靖;刘舟慧;张宇轩;张念恩;郑澍乔;路翠翠

作者机构：Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements of Ministry of EducationBeijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic SystemsSchool of PhysicsBeijing Institute of TechnologyBeijing 100081China Collaborative Innovation Center of Light Manipulations and ApplicationsShandong Normal UniversityJinan 250358China 

基　　金：supported by the National Natural Science Foundation of China (Nos. 11604378, 91850117, and 11654003) the Beijing Institute of Technology Research Fund Program for Young Scholars 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2021年第19卷第1期

页      码：31-63页

摘      要：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.

主 题 词：intelligent algorithms nanophotonic devices deep learning methods swarm intelligence genetic algorithm 

学科分类：12[管理学] 1201[管理学-管理科学与工程类] 070207[070207] 07[理学] 081104[081104] 08[工学] 0835[0835] 0803[工学-仪器类] 0811[工学-水利类] 0812[工学-测绘类] 0702[理学-物理学类] 

核心收录：

D　O　I：10.3788/COL202119.011301

馆 藏 号：203102080...