Literature DB >> 33355315

Artificial intelligence for photonics and photonic materials.

Davide Piccinotti1, Kevin F MacDonald1, Simon A Gregory2, Ian Youngs2, Nikolay I Zheludev1,3.   

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.

Entities:  

Year:  2021        PMID: 33355315     DOI: 10.1088/1361-6633/abb4c7

Source DB:  PubMed          Journal:  Rep Prog Phys        ISSN: 0034-4885


  2 in total

Review 1.  Instantaneous Property Prediction and Inverse Design of Plasmonic Nanostructures Using Machine Learning: Current Applications and Future Directions.

Authors:  Xinkai Xu; Dipesh Aggarwal; Karthik Shankar
Journal:  Nanomaterials (Basel)       Date:  2022-02-14       Impact factor: 5.076

2.  Deep-Learning-Assisted Focused Ion Beam Nanofabrication.

Authors:  Oleksandr Buchnev; James A Grant-Jacob; Robert W Eason; Nikolay I Zheludev; Ben Mills; Kevin F MacDonald
Journal:  Nano Lett       Date:  2022-03-24       Impact factor: 12.262

  2 in total

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