Predicting behavior of photonic crystal fiber lasers using artificial neural networks

Subjects

Subjects :

Electrical and Electronic Engineering
Physical and Theoretical Chemistry
Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials

Details

ISSN :

00304018

Volume :

542

Database :

OpenAIRE

Journal :

Optics Communications

Accession number :

edsair.doi...........f69c9bd9d97845d54471a2a5da857e2c

Full Text :

https://doi.org/10.1016/j.optcom.2023.129582