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• W3100188963 abstract "Abstract Short-pulse fibre lasers are a complex dynamical system possessing a broad space of operating states that can be accessed through control of cavity parameters. Determination of target regimes is a multi-parameter global optimisation problem. Here, we report the implementation of a genetic algorithm to intelligently locate optimum parameters for stable single-pulse mode- locking in a Figure-8 fibre laser, and fully automate the system turn-on procedure. Stable ultrashort pulses are repeatably achieved by employing a compound fitness function that monitors both temporal and spectral output properties of the laser. Our method of encoding photonics expertise into an algorithm and applying machine-learning principles paves the way to self-optimising ‘smart’ optical technologies." @default.
• W3100188963 created "2020-11-23" @default.
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• W3100188963 date "2016-11-21" @default.
• W3100188963 modified "2023-10-01" @default.
• W3100188963 title "Towards ‘smart lasers’: self-optimisation of an ultrafast pulse source using a genetic algorithm" @default.
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• W3100188963 doi "https://doi.org/10.1038/srep37616" @default.
• W3100188963 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5116642" @default.
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• W3100188963 hasPublicationYear "2016" @default.
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