Emerging role of machine learning in light-matter interaction

Jiajia Zhou; Bolong Huang; Zheng Yan; Jean-Claude G. Bünzli

doi:10.1038/s41377-019-0192-4

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Emerging role of machine learning in light-matter interaction

Perspectives

- Emerging role of machine learning in light-matter interaction
- Light: Science & Applications Vol. 8, Issue 5, Pages: 654-660(2019)
- Affiliations：
  
  1.Faculty of Science, Institute for Biomedical Materials and Devices, University of Technology, Sydney, NSW 2007, Australia
  2.Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hong Hum, Kowloon, Hong Kong SAR, China
  3.Faculty of Engineering and IT, Centre for Artificial Intelligence, University of Technology, Sydney, NSW 2007, Australia
  4.Swiss Federal Institute of Technology, Lausanne (EPFL), ISIC, Lausanne, Switzerland
- Author bio：
  
  Jiajia Zhou (Jiajia.zhou@uts.edu.au)
- Funds：
- DOI：10.1038/s41377-019-0192-4
  CLC：
- Published：2019，
  
  Published Online：11 September 2019，
  
  Received：06 April 2019，
  
  Revised：22 July 2019，
  
  Accepted：06 August 2019
- Accepted：
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Zhou, J. J. et al. Emerging role of machine learning in light-matter interaction. Light: Science & Applications, 8, 654-660 (2019).
DOI：

Zhou, J. J. et al. Emerging role of machine learning in light-matter interaction. Light: Science & Applications, 8, 654-660 (2019). DOI： 10.1038/s41377-019-0192-4.

摘要

Abstract

Machine learning has provided a huge wave of innovation in multiple fields

including computer vision

medical diagnosis

life sciences

molecular design

and instrumental development. This perspective focuses on the implementation of machine learning in dealing with light-matter interaction

which governs those fields involving materials discovery

optical characterizations

and photonics technologies. We highlight the role of machine learning in accelerating technology development and boosting scientific innovation in the aforementioned aspects. We provide future directions for advanced computing techniques via multidisciplinary efforts that can help to transform optical materials into imaging probes

information carriers and photonics devices.

关键词

Keywords

references

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