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Artificial Intelligence in Meta-optics

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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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.
Original languageEnglish
Pages (from-to)15356–15413
Number of pages58
JournalChemical Reviews
Volume122
Issue number19
Online published24 Jun 2022
DOIs
Publication statusPublished - 12 Oct 2022

Funding

The authors acknowledge financial support from the University Grants Committee/Research Grants Council of the Hong Kong Special Administrative Region, China (project no. AoE/P-502/20 and GRF project 15303521); the Shenzhen Science and Technology Innovation Commission Grant (SGDX2019081623281169); the Department of Science and Technology of Guangdong Province (2020B1515120073); and City University of Hong Kong (no. 9380131).

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

  • RGC-funded

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