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Artificial Intelligence in Meta-optics.
Chen, Mu Ku; Liu, Xiaoyuan; Sun, Yanni; Tsai, Din Ping.
Afiliação
  • Chen MK; Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077.
  • Liu X; Centre for Biosystems, Neuroscience, and Nanotechnology, City University of Hong Kong, Kowloon, Hong Kong 999077.
  • Sun Y; The State Key Laboratory of Terahertz and Millimeter Waves, City University of Hong Kong, Kowloon, Hong Kong 999077.
  • Tsai DP; Department of Electrical Engineering, City University of Hong Kong, Kowloon, Hong Kong 999077.
Chem Rev ; 122(19): 15356-15413, 2022 10 12.
Article em En | MEDLINE | ID: mdl-35750326
ABSTRACT
Recent years have witnessed promising artificial intelligence (AI) applications in many disciplines, including optics, engineering, medicine, economics, and education. In particular, the synergy of AI and meta-optics has greatly benefited both fields. Meta-optics are advanced flat optics with novel functions and light-manipulation abilities. The optical properties can be engineered with a unique design to meet various optical demands. This review offers comprehensive coverage of meta-optics and artificial intelligence in synergy. After providing an overview of AI and meta-optics, we categorize and discuss the recent developments integrated by these two topics, namely AI for meta-optics and meta-optics for AI. The former describes how to apply AI to the research of meta-optics for design, simulation, optical information analysis, and application. The latter reports the development of the optical Al system and computation via meta-optics. This review will also provide an in-depth discussion of the challenges of this interdisciplinary field and indicate future directions. We expect that this review will inspire researchers in these fields and benefit the next generation of intelligent optical device design.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Óptica e Fotônica Tipo de estudo: Qualitative_research Idioma: En Revista: Chem Rev Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Óptica e Fotônica Tipo de estudo: Qualitative_research Idioma: En Revista: Chem Rev Ano de publicação: 2022 Tipo de documento: Article