A detector that can learn the fingerprint of light

Justin C. W. Song () and Yidong Chong

Nature, 2022, vol. 604, issue 7905, 252-253

Abstract: The polarization, wavelength and power of a light wave can be simultaneously identified by a compact device made from twisted layers of carbon atoms — with a little help from an artificial neural network.

Keywords: Applied physics; Condensed-matter physics; Graphene; Machine learning (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1038/d41586-022-00973-z

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