Convolutional neural networks for mode on-demand high finesse optical resonator design
Convolutional neural networks for mode on-demand high finesse optical resonator design
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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We demonstrate the use of machine learning through convolutional neural networks to solve inverse design problems of optical resonator engineering. The neural network finds a harmonic modulation of a spherical mirror to generate a resonator mode with a given target topology (“mode on-demand”). The procedure allows us to optimize the shape of mirror...
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Convolutional neural networks for mode on-demand high finesse optical resonator design
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TN_cdi_doaj_primary_oai_doaj_org_article_06c6147a6ae94b58a89ad47876f4530f
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_06c6147a6ae94b58a89ad47876f4530f
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-42223-w
