articleeLightApr 11, 2025DIAMOND OA

Intelligent nanophotonics: when machine learning sheds light

NWNanfan WuYSYuxiang SunJHJingtian HuCYChuang YangZBZichun Bai

Ministry of Industry and Information Technology · Chinese University of Hong Kong, Shenzhen · +2 more institutions

Indexed incrossrefdoaj

Abstract

Abstract The synergistic development of nanophotonics and machine learning has inspired tremendous innovations in both fields in the past decade. In diverse photonics research, deep-learning methods using artificial neural networks become the key game changer that greatly facilitates rapid nanophotonics design and the versatile processing of optical information. Moreover, optical computing platforms that perform calculations through light propagation are receiving tremendous interest as next-generation machine-learning hardware with advantages in computing speed, energy efficiency, and parallelism. This review summarizes the current state-of-the-art nanophotonic devices enabled by machine learning and analyzes…

Citation impact

46
total citations
FWCI
87.66
Percentile
100%
References
291
Citations per year

Authors

14

Topics & keywords

Keywords
  • Nanophotonics
  • Computer science
  • Artificial intelligence
  • Nanotechnology
  • Materials science
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