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

页数：3

共 30 条

[1] Business data mining - a machine learning perspective
Bose, I
Mahapatra, RK
[J]. INFORMATION & MANAGEMENT, 2001, 39 (03) : 211 - 225
[2] Optimal Design of Gain-Flattened Raman Fiber Amplifiers Using a Hybrid Approach Combining Randomized Neural Networks and Differential Evolution Algorithm
Chen, Jing
Jiang, Hao
[J]. IEEE PHOTONICS JOURNAL, 2018, 10 (02):
[3] How to develop machine learning models for healthcare
Chen, Po-Hsuan Cameron
Liu, Yun
Peng, Lily
[J]. NATURE MATERIALS, 2019, 18 (05) : 410 - 414
[4] Chen Y., 2020, P OPTICAL FIBER COMM
[5] Smart inverse design of graphene-based photonic metamaterials by an adaptive artificial neural network
Chen, Yingshi
Zhu, Jinfeng
Xie, Yinong
Feng, Naixing
Liu, Qing Huo
[J]. NANOSCALE, 2019, 11 (19) : 9749 - 9755
[6] de Moura U. C, 2021, PROC OPT FIBER COMMU
[7] Experimental Characterization of Raman Amplifier Optimization Through Inverse System Design
de Moura, Uiara C.
Da Ros, Francesco
Brusin, A. Margareth Rosa
Carena, Andrea
Zibar, Darko
[J]. JOURNAL OF LIGHTWAVE TECHNOLOGY, 2021, 39 (04) : 1162 - 1170
[8] Simultaneous gain profile design and noise figure prediction for Raman amplifiers using machine learning
de Moura, Uiara Celine
Rosa Brusin, Ann Margareth
Carena, Andrea
Zibar, Darko
Da Ros, Francesco
[J]. OPTICS LETTERS, 2021, 46 (05) : 1157 - 1160
[9] Multi-Band Programmable Gain Raman Amplifier
de Moura, Uiara Celine
Iqbal, Md Asif
Kamalian, Morteza
Krzczanowicz, Lukasz
Da Ros, Francesco
Brusin, Ann Margareth Rosa
Carena, Andrea
Forysiak, Wladek
Turitsyn, Sergei
Zibar, Darko
[J]. JOURNAL OF LIGHTWAVE TECHNOLOGY, 2021, 39 (02) : 429 - 438
[10] Ferguson R., 1996, ESSDERC'96. Proceedings of the 26th European Solid State Device Research Conference, P969

← 1 2 3 →