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
- Emerging role of machine learning in light-matter interaction
- LSA 2019年8卷第5期页码：654-660
- 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
  中图分类号：
- 纸质出版日期：2019，
  
  网络出版日期：2019-09-11，
  
  收稿日期：2019-04-06，
  
  修回日期：2019-07-22，
  
  录用日期：2019-08-06
- Accepted：
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Emerging role of machine learning in light-matter interaction[J]. LSA, 2019,8(5):654-660.

Zhou, J. J. et al. Emerging role of machine learning in light-matter interaction. Light: Science & Applications, 8, 654-660 (2019).
Emerging role of machine learning in light-matter interaction[J]. LSA, 2019,8(5):654-660. DOI： 10.1038/s41377-019-0192-4.

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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