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Autor:
Dustin Eby, Mikolaj Jakowski, Valeria Lauter, Mathieu Doucet, Panchapakesan Ganesh, Miguel Fuentes-Cabrera, Rajeev Kumar
Publikováno v:
Nanoscale. 15:7280-7291
Artificial neural networks are used to extract three Flory-Huggins chi parameters from neutron scattering length density profiles, which paves a way towards automated analysis of neutron reflectivity data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d4d0c75585de9ba1f228ca85f4b36cc
https://doi.org/10.1039/d2nr07173h
https://doi.org/10.1039/d2nr07173h
