Deep reinforcement learning for self-tuning laser source of dissipative solitons

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 learning methods, providing proven tools for identification,...

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Detalles Bibliográficos
Autores principales: Kuprikov, Evgeny, Kokhanovskiy, Alexey, Serebrennikov, Kirill, Turitsyn, Sergey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065020/
https://www.ncbi.nlm.nih.gov/pubmed/35504948
http://dx.doi.org/10.1038/s41598-022-11274-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065020/
https://www.ncbi.nlm.nih.gov/pubmed/35504948
http://dx.doi.org/10.1038/s41598-022-11274-w

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