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Perspective paper: Can machine learning become a universal method of laser photonics? / Kobtsev, Sergey M.

In: Optical Fiber Technology, Vol. 65, 102626, 09.2021.

Research output: Contribution to journal › Article › peer-review

Harvard

Kobtsev, SM 2021, 'Perspective paper: Can machine learning become a universal method of laser photonics?', Optical Fiber Technology, vol. 65, 102626. https://doi.org/10.1016/j.yofte.2021.102626

APA

Kobtsev, S. M. (2021). Perspective paper: Can machine learning become a universal method of laser photonics? Optical Fiber Technology, 65, [102626]. https://doi.org/10.1016/j.yofte.2021.102626

Vancouver

Kobtsev SM. Perspective paper: Can machine learning become a universal method of laser photonics? Optical Fiber Technology. 2021 Sept;65:102626. doi: 10.1016/j.yofte.2021.102626

Author

Kobtsev, Sergey M. / Perspective paper: Can machine learning become a universal method of laser photonics?. In: Optical Fiber Technology. 2021 ; Vol. 65.

BibTeX

@article{ab29c8aaa7454802bd33ce7ac6d8528b,
title = "Perspective paper: Can machine learning become a universal method of laser photonics?",
abstract = "Machine learning methods are being successfully applied in various domains of human activity, including optics. Can they become a universal instrument capable of improving user aspect of photonic devices? Is their application a necessary element of such improvement? Answers to fundamental questions arising from application of machine learning methods in ultrashort-pulsed lasers are discussed. Future prospects and current fundamental limitations of such methods are analysed.",
keywords = "machine learning, Laser Physics, Photonics, ARTIFICIAL-INTELLIGENCE, OPTIMIZATION, OPTICS",
author = "Kobtsev, {Sergey M.}",
note = "This research was supported by the Ministry of Science and Higher Education of the Russian Federation (grant #FSUS-2020-0036) and by the Russian Foundation for Basic Research (project #18-29-20025).",
year = "2021",
month = sep,
doi = "10.1016/j.yofte.2021.102626",
language = "English",
volume = "65",
journal = "Optical Fiber Technology",
issn = "1068-5200",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - Perspective paper: Can machine learning become a universal method of laser photonics?

AU - Kobtsev, Sergey M.

N1 - This research was supported by the Ministry of Science and Higher Education of the Russian Federation (grant #FSUS-2020-0036) and by the Russian Foundation for Basic Research (project #18-29-20025).

PY - 2021/9

Y1 - 2021/9

N2 - Machine learning methods are being successfully applied in various domains of human activity, including optics. Can they become a universal instrument capable of improving user aspect of photonic devices? Is their application a necessary element of such improvement? Answers to fundamental questions arising from application of machine learning methods in ultrashort-pulsed lasers are discussed. Future prospects and current fundamental limitations of such methods are analysed.

AB - Machine learning methods are being successfully applied in various domains of human activity, including optics. Can they become a universal instrument capable of improving user aspect of photonic devices? Is their application a necessary element of such improvement? Answers to fundamental questions arising from application of machine learning methods in ultrashort-pulsed lasers are discussed. Future prospects and current fundamental limitations of such methods are analysed.

KW - machine learning

KW - Laser Physics

KW - Photonics

KW - ARTIFICIAL-INTELLIGENCE

KW - OPTIMIZATION

KW - OPTICS

U2 - 10.1016/j.yofte.2021.102626

DO - 10.1016/j.yofte.2021.102626

M3 - Article

VL - 65

JO - Optical Fiber Technology

JF - Optical Fiber Technology

SN - 1068-5200

M1 - 102626

ER -

ID: 34691929