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Taming femtosecond laser filamentation and supercontinuum generation in liquids using neural networks

Panagiotis Konstantakis, Paul E. Dufour, Maria Manousidaki, Anastasios D. Koulouklidis, and Stelios Tzortzakis

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Abstract

We report the spectral shaping of supercontinuum generation in liquids by employing properly engineered Bessel beams coupled with artificial neural networks. We demonstrate that given a custom spectrum, neural networks are capable of outputting the experimental parameters needed to generate it experimentally.

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Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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