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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...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2022-05-01
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| Serie: | Scientific Reports |
| Accesso online: | https://doi.org/10.1038/s41598-022-11274-w |
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