Artificial intelligence for photonics and photonic materials. (18th December 2020)

• Record Type: Journal Article
• Authors: Piccinotti, Davide; MacDonald, Kevin F; A Gregory, Simon; Youngs, Ian; Zheludev, Nikolay I
• Is Part Of: Reports on progress in physics. Volume 84:Number 1(2021)
• Publication Date: 2020-12-18
• Subjects: machine learning -- deep learning -- photonics -- nanophotonics -- photonic devices -- materials discovery -- photonic materials -- metamaterials -- plasmonics; Physics -- Periodicals; 530.05
• DOI: 10.1088/1361-6633/abb4c7
• Languages: English
• ISSNs: 0034-4885

Abstract

Abstract: Artificial intelligence (AI) is the most important new methodology in scientific research since the adoption of quantum mechanics and it is providing exciting results in numerous 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.