Cargando…
Artificial Intelligence in Meta-optics
[Image: see text] 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...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562283/ https://www.ncbi.nlm.nih.gov/pubmed/35750326 http://dx.doi.org/10.1021/acs.chemrev.2c00012 |
_version_ | 1784808137609445376 |
---|---|
author | Chen, Mu Ku Liu, Xiaoyuan Sun, Yanni Tsai, Din Ping |
author_facet | Chen, Mu Ku Liu, Xiaoyuan Sun, Yanni Tsai, Din Ping |
author_sort | Chen, Mu Ku |
collection | PubMed |
description | [Image: see text] 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. |
format | Online Article Text |
id | pubmed-9562283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-95622832022-10-15 Artificial Intelligence in Meta-optics Chen, Mu Ku Liu, Xiaoyuan Sun, Yanni Tsai, Din Ping Chem Rev [Image: see text] 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. American Chemical Society 2022-06-24 2022-10-12 /pmc/articles/PMC9562283/ /pubmed/35750326 http://dx.doi.org/10.1021/acs.chemrev.2c00012 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Chen, Mu Ku Liu, Xiaoyuan Sun, Yanni Tsai, Din Ping Artificial Intelligence in Meta-optics |
title | Artificial Intelligence in Meta-optics |
title_full | Artificial Intelligence in Meta-optics |
title_fullStr | Artificial Intelligence in Meta-optics |
title_full_unstemmed | Artificial Intelligence in Meta-optics |
title_short | Artificial Intelligence in Meta-optics |
title_sort | artificial intelligence in meta-optics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562283/ https://www.ncbi.nlm.nih.gov/pubmed/35750326 http://dx.doi.org/10.1021/acs.chemrev.2c00012 |
work_keys_str_mv | AT chenmuku artificialintelligenceinmetaoptics AT liuxiaoyuan artificialintelligenceinmetaoptics AT sunyanni artificialintelligenceinmetaoptics AT tsaidinping artificialintelligenceinmetaoptics |