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Artificial intelligence for photonics and photonic materials

Artificial intelligence for photonics and photonic materials
Artificial intelligence for photonics and photonic materials
Artificial intelligence (AI) is the most important new methodology in scientific research since adoption of quantum mechanics and it is providing exciting results in multiple fields of science and technology. In this review we summarize research and discuss future opportunities for AI in the domains of photonics, nanophotonics, plasmonics and photonic materials discovery including metamaterials
0034-4885
Piccinotti, Davide
15c6d296-3464-43ec-943a-8155e66d2a51
MacDonald, Kevin F.
76c84116-aad1-4973-b917-7ca63935dba5
Gregory, Simon A.
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Youngs, Ian J.
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Zheludev, Nikolai
32fb6af7-97e4-4d11-bca6-805745e40cc6
Piccinotti, Davide
15c6d296-3464-43ec-943a-8155e66d2a51
MacDonald, Kevin F.
76c84116-aad1-4973-b917-7ca63935dba5
Gregory, Simon A.
2664c4ed-75fe-457f-95f4-4ddf9fd7bfaa
Youngs, Ian J.
d479caee-b86f-4c30-bf32-e3c4d7968cd3
Zheludev, Nikolai
32fb6af7-97e4-4d11-bca6-805745e40cc6

Piccinotti, Davide, MacDonald, Kevin F., Gregory, Simon A., Youngs, Ian J. and Zheludev, Nikolai (2020) Artificial intelligence for photonics and photonic materials. Reports on Progress in Physics, 84, [012401]. (doi:10.1088/1361-6633/abb4c7).

Record type: Review

Abstract

Artificial intelligence (AI) is the most important new methodology in scientific research since adoption of quantum mechanics and it is providing exciting results in multiple fields of science and technology. In this review we summarize research and discuss future opportunities for AI in the domains of photonics, nanophotonics, plasmonics and photonic materials discovery including metamaterials

Text
ROPP-101283.R1 accepted manuscript - Accepted Manuscript
Available under License Creative Commons Attribution Non-commercial No Derivatives.
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More information

Accepted/In Press date: 13 July 2020
e-pub ahead of print date: 2 September 2020
Published date: 18 December 2020
Learn more about Zepler Institute for Photonics and Nanoelectronics research

Identifiers

Local EPrints ID: 442541
URI: http://eprints.soton.ac.uk/id/eprint/442541
DOI: doi:10.1088/1361-6633/abb4c7
ISSN: 0034-4885
PURE UUID: d5caf23a-163a-4f6d-9e74-9bedc9e62aa5
ORCID for Kevin F. MacDonald: ORCID iD orcid.org/0000-0002-3877-2976
ORCID for Nikolai Zheludev: ORCID iD orcid.org/0000-0002-1013-6636

Catalogue record

Date deposited: 17 Jul 2020 16:35
Last modified: 17 Mar 2024 05:45

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Contributors

Author: Davide Piccinotti
Author: Kevin F. MacDonald ORCID iD
Author: Simon A. Gregory
Author: Ian J. Youngs
Author: Nikolai Zheludev ORCID iD

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