Supercontinuum Spectral Evolution Prediction by Recurrent Neural Network

Lauri Salmela; Coraline Lapre; John M. Dudley; Goery Genty

Supercontinuum Spectral Evolution Prediction by Recurrent Neural Network

Lauri Salmela, Coraline Lapre, John M. Dudley, Goery Genty

Fysiikka

Tutkimustuotos: Abstrakti › Tieteellinen

1 Sitaatiot (Scopus)

Abstrakti

We use recurrent neural network to successfully predict the spectral evolution of cohererent supercontinuum along propagation in an optical fiber. The network performs particularly well for a wide range of input pulse parameters.

Alkuperäiskieli	Englanti
Tila	Julkaistu - 2020
OKM-julkaisutyyppi	Ei OKM-tyyppiä
Tapahtuma	2020 Conference on Lasers and Electro-Optics, CLEO 2020 - San Jose, Yhdysvallat Kesto: 10 toukok. 2020 → 15 toukok. 2020

Conference

Conference	2020 Conference on Lasers and Electro-Optics, CLEO 2020
Maa/Alue	Yhdysvallat
Kaupunki	San Jose
Ajanjakso	10/05/20 → 15/05/20

!!ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Pääsy asiakirjaan

https://ieeexplore.ieee.org/document/9193342

Siteeraa tätä

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title = "Supercontinuum Spectral Evolution Prediction by Recurrent Neural Network",

abstract = "We use recurrent neural network to successfully predict the spectral evolution of cohererent supercontinuum along propagation in an optical fiber. The network performs particularly well for a wide range of input pulse parameters.",

author = "Lauri Salmela and Coraline Lapre and Dudley, {John M.} and Goery Genty",

note = "Publisher Copyright: {\textcopyright} 2020 OSA. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 2020 Conference on Lasers and Electro-Optics, CLEO 2020 ; Conference date: 10-05-2020 Through 15-05-2020",

year = "2020",

language = "English",

}

TY - CONF

T1 - Supercontinuum Spectral Evolution Prediction by Recurrent Neural Network

AU - Salmela, Lauri

AU - Lapre, Coraline

AU - Dudley, John M.

AU - Genty, Goery

PY - 2020

Y1 - 2020

N2 - We use recurrent neural network to successfully predict the spectral evolution of cohererent supercontinuum along propagation in an optical fiber. The network performs particularly well for a wide range of input pulse parameters.

AB - We use recurrent neural network to successfully predict the spectral evolution of cohererent supercontinuum along propagation in an optical fiber. The network performs particularly well for a wide range of input pulse parameters.

M3 - Abstract

AN - SCOPUS:85091658063

T2 - 2020 Conference on Lasers and Electro-Optics, CLEO 2020

Y2 - 10 May 2020 through 15 May 2020

ER -

Supercontinuum Spectral Evolution Prediction by Recurrent Neural Network

Abstrakti

Conference

!!ASJC Scopus subject areas

Pääsy asiakirjaan

Sormenjälki

Siteeraa tätä