Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Alexey Kokhanovskiy"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Increasing complexity of modern laser systems, mostly originated from the nonlinear dynamics of radiation, makes control of their operation more and more challenging, calling for development of new approaches in laser engineering. Machine le
Externí odkaz:
https://doaj.org/article/e3057e5e8a6b43e8843c67ee7d0fd22a
Autor:
Alexey Kokhanovskiy, Evgeny Kuprikov, Anastasia Bednyakova, Ivan Popkov, Sergey Smirnov, Sergey Turitsyn
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract A wide variety of laser applications, that often require radiation with specific characteristics, and relative flexibility of laser configurations offer a prospect of designing systems with the parameters on demand. The inverse laser design
Externí odkaz:
https://doaj.org/article/a9921c049d5a4aebbaed7ba66df8b88b
Publikováno v:
Photonics, Vol 9, Iss 12, p 921 (2022)
We experimentally demonstrate the application of a double deep Q-learning network algorithm (DDQN) for design of a self-starting fiber mode-locked laser. In contrast to the static optimization of a system design, the DDQN reinforcement algorithm is c
Externí odkaz:
https://doaj.org/article/59169698eaa64228a1b5fb5163543528
Publikováno v:
Sensors, Vol 22, Iss 20, p 7810 (2022)
We present experimental results on the reconstruction of the 2D temperature field on the surface of a 250 × 250 mm sensor panel based on the distributed frequency shift measured by an optical backscatter reflectometer. A linear regression and a feed
Externí odkaz:
https://doaj.org/article/7838414aeec04be591602aea07e5308e
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 10398 (2021)
Here we present a numerical study of pulsing build-up dynamics inside the fiber Mamyshev Oscillator (MO). The main scope of the investigation is to describe the influence of the spectral separation between the filters on self-starting MO dynamics and
Externí odkaz:
https://doaj.org/article/17e3abcb87bc4026bab9e6f642dd8f60
Publikováno v:
Sensors, Vol 21, Iss 18, p 6188 (2021)
In this paper, we demonstrate the application of deep neural networks (DNNs) for processing the reflectance spectrum from a fiberoptic temperature sensor composed of densely inscribed fiber bragg gratings (FBG). Such sensors are commonly avoided in p
Externí odkaz:
https://doaj.org/article/71c327307aa44fa5a486f3e9c0fdb35b
Publikováno v:
Quantum and Nonlinear Optics VIII.
Synchronously pumped Raman oscillators provide efficient nonlinear spectral conversion of ultrashort pulses. Designing of Raman oscillators is a highly dimensional optimization task requiring extensive computations. Here, we implement novel numerical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67cd8eb3bc53cc942d1e947d5a07c3be
https://doi.org/10.1117/12.2602637
https://doi.org/10.1117/12.2602637
Publikováno v:
Optics letters. 46(19)
We demonstrate that spectral peak power of negatively chirped optical pulses can acquire a blueshift after amplification by a semiconductor optical amplifier. The central wavelength of a transform limited optical pulse translates over 20 nm towards a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e04e2a22a90f6fe5f8697978ec112b6
https://pubmed.ncbi.nlm.nih.gov/34598192
https://pubmed.ncbi.nlm.nih.gov/34598192
Autor:
Ivan Popkov, Sergei K. Turitsyn, A. E. Bednyakova, Alexey Kokhanovskiy, Sergey Smirnov, Evgeny Kuprikov
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
A wide variety of laser applications, that often require radiation with specific characteristics, and relative flexibility of laser configurations offer a prospect of designing systems with the parameters on demand. The inverse laser design problem i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0a9fed41926750e899d732e25a4e35f
https://publications.aston.ac.uk/id/eprint/42815/1/41598_2021_Article_92996.pdf
https://publications.aston.ac.uk/id/eprint/42815/1/41598_2021_Article_92996.pdf
Autor:
Daniel Brunner, Lauri Salmela, Goëry Genty, Sergei K. Turitsyn, S. Kobtsev, Alexey Kokhanovskiy, John M. Dudley
Publikováno v:
Nature Photonics
Nature Photonics, Nature Publishing Group, 2021, 15 (2), pp.91-101. ⟨10.1038/s41566-020-00716-4⟩
Nature Photonics, 2020, 15, pp.91-101
Nature Photonics, Nature Publishing Group, 2021, 15 (2), pp.91-101. ⟨10.1038/s41566-020-00716-4⟩
Nature Photonics, 2020, 15, pp.91-101
Recent years have seen the rapid growth and development of the field of smart photonics, where machine-learning algorithms are being matched to optical systems to add new functionalities and to enhance performance. An area where machine learning show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2bbd643f0ec590c2a1d0d7b632f0a3f
https://hal.archives-ouvertes.fr/hal-03414396
https://hal.archives-ouvertes.fr/hal-03414396