Machine learning and applications in ultrafast photonics-Reference-Cited by-同舟云学术

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Machine learning and applications in ultrafast photonics

Published:2020-11-30 Issue:2 Volume:15 Page:91-101
ISSN:1749-4885
Container-title:Nature Photonics
language:en
Short-container-title:Nat. Photonics

Author:

Genty Goëry^ORCID,Salmela Lauri^ORCID,Dudley John M.^ORCID,Brunner Daniel^ORCID,Kokhanovskiy Alexey,Kobtsev Sergei^ORCID,Turitsyn Sergei K.^ORCID

Funder

Academy of Finland

Faculty of Engineering and Natural Sciences graduate school of Tampere University

Agence Nationale de la Recherche

Russian Science Foundation

RCUK | Engineering and Physical Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

http://www.nature.com/articles/s41566-020-00716-4.pdf

Reference103 articles.

1. Jordan, M. I. & Mitchell, T. M. Machine learning: trends, perspectives, and prospects. Science 349, 255–260 (2015).

2. Mahlab, U., Shamir, J. & Caulfield, H. J. Genetic algorithm for optical pattern recognition. Opt. Lett. 16, 648–650 (1991).

3. Kihm, K. D. & Lyons, D. P. Optical tomography using a genetic algorithm. Opt. Lett. 21, 1327–1329 (1996).

4. Albert, O., Sherman, L., Mourou, G., Norris, T. B. & Vdovin, G. Smart microscope: an adaptive optics learning system for aberration correction in multiphoton confocal microscopy. Opt. Lett. 25, 52–54 (2000).

5. Eisenhammer, T., Lazarov, M., Leutbecher, M., Schöffel, U. & Sizmann, R. Optimization of interference filters with genetic algorithms applied to silver-based heat mirrors. Appl. Opt. 32, 6310–6315 (1993).

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