Machine learning applied to inverse systems design

被引:0
作者
de Moura, Uiara C. [1 ]
Da Ros, Francesco [1 ]
Zibar, Darko [1 ]
Brusin, Ann Margareth Rosa [2 ]
Carena, Andrea [2 ]
机构
[1] Tech Univ Denmark, DTU Foton, Lyngby, Denmark
[2] Politecn Torino, DET, Turin, Italy
来源
2022 INTERNATIONAL CONFERENCE ON OPTICAL NETWORK DESIGN AND MODELLING (ONDM) | 2022年
基金
欧洲研究理事会;
关键词
inverse design; machine learning; photonic systems; optical amplifiers;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work, we will give an overview of some of the most recent and successful applications of machine learning-based inverse system designs in photonic systems. Then, we will focus on our recent research on the Raman amplifier inverse design. We will show how the machine learning framework is optimized to generate on-demand arbitrary Raman gain profiles in a controlled and fast way and how it can become a key feature for future optical communication systems.
引用
收藏
页数:3
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