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

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 learning methods, providing proven tools for identif...

詳細記述

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主要な著者: Evgeny Kuprikov, Alexey Kokhanovskiy, Kirill Serebrennikov, Sergey Turitsyn
フォーマット: Artigo
言語:Inglês
出版事項: Nature Portfolio 2022-05-01
シリーズ:Scientific Reports
オンライン・アクセス:https://doi.org/10.1038/s41598-022-11274-w
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