Unicode码
光子学
光学
遗传算法
分路器
进化算法
纳米光子学
差异进化
计算机科学
功率(物理)
分束器
算法
人工智能
物理
激光器
量子力学
机器学习
作者
Yuan Xie,Tianye Huang,Qizheng Ji,Ming Yang,Jin Wang,Xin Tu,Zhuo Cheng,Guizhen Xu,Wei Qian,Yiheng Wu,Perry Ping Shum
出处
期刊:Applied Optics
[Optica Publishing Group]
日期:2020-01-13
卷期号:59 (6): 1780-1780
被引量:20
摘要
Traditional photonic integrated devices are designed to predict their optical response by transforming the structure and parameters, and it is often difficult to obtain devices with excellent performance in all aspects. The nanophotonic computing design method based on the optimization algorithm has revolutionized the traditional photonic integrated device design technology. Here, we report a discrete differential evolution algorithm that simulates a natural selection process to achieve an ultracompact arbitrary power ratio splitter. The footprint of the designed splitter is only ${2.5}\;\unicode{x00B5} {\rm m} \times {2}.{5}\;\unicode{x00B5} {\rm m}$2.5µm×2.5µm, the simulated total transmission efficiency is above 90%, the power ratio error is less than 3%, and it can work normally over the C-band. Our algorithm can provide new ideas for the application of genetic algorithms to the automatic optimization of photonic integrated devices.
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