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Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale

Nanophotonics has been an active research field over the past two decades, triggered by the rising interests in exploring new physics and technologies with light at the nanoscale. As the demands of performance and integration level keep increasing, the design and optimization of nanophotonic devices...

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Detalles Bibliográficos
Autores principales: Yao, Kan, Unni, Rohit, Zheng, Yuebing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291385/
https://www.ncbi.nlm.nih.gov/pubmed/34290952
http://dx.doi.org/10.1515/nanoph-2018-0183
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author Yao, Kan
Unni, Rohit
Zheng, Yuebing
author_facet Yao, Kan
Unni, Rohit
Zheng, Yuebing
author_sort Yao, Kan
collection PubMed
description Nanophotonics has been an active research field over the past two decades, triggered by the rising interests in exploring new physics and technologies with light at the nanoscale. As the demands of performance and integration level keep increasing, the design and optimization of nanophotonic devices become computationally expensive and time-inefficient. Advanced computational methods and artificial intelligence, especially its subfield of machine learning, have led to revolutionary development in many applications, such as web searches, computer vision, and speech/image recognition. The complex models and algorithms help to exploit the enormous parameter space in a highly efficient way. In this review, we summarize the recent advances on the emerging field where nanophotonics and machine learning blend. We provide an overview of different computational methods, with the focus on deep learning, for the nanophotonic inverse design. The implementation of deep neural networks with photonic platforms is also discussed. This review aims at sketching an illustration of the nanophotonic design with machine learning and giving a perspective on the future tasks.
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spelling pubmed-82913852021-07-20 Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale Yao, Kan Unni, Rohit Zheng, Yuebing Nanophotonics Article Nanophotonics has been an active research field over the past two decades, triggered by the rising interests in exploring new physics and technologies with light at the nanoscale. As the demands of performance and integration level keep increasing, the design and optimization of nanophotonic devices become computationally expensive and time-inefficient. Advanced computational methods and artificial intelligence, especially its subfield of machine learning, have led to revolutionary development in many applications, such as web searches, computer vision, and speech/image recognition. The complex models and algorithms help to exploit the enormous parameter space in a highly efficient way. In this review, we summarize the recent advances on the emerging field where nanophotonics and machine learning blend. We provide an overview of different computational methods, with the focus on deep learning, for the nanophotonic inverse design. The implementation of deep neural networks with photonic platforms is also discussed. This review aims at sketching an illustration of the nanophotonic design with machine learning and giving a perspective on the future tasks. 2019-01-25 2019-03 /pmc/articles/PMC8291385/ /pubmed/34290952 http://dx.doi.org/10.1515/nanoph-2018-0183 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 Public License.
spellingShingle Article
Yao, Kan
Unni, Rohit
Zheng, Yuebing
Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale
title Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale
title_full Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale
title_fullStr Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale
title_full_unstemmed Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale
title_short Intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale
title_sort intelligent nanophotonics: merging photonics and artificial intelligence at the nanoscale
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8291385/
https://www.ncbi.nlm.nih.gov/pubmed/34290952
http://dx.doi.org/10.1515/nanoph-2018-0183
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