Deep learning approach for an interface structure analysis with a large statistical noise in neutron reflectometry

Deep learning approach for an interface structure analysis with a large statistical noise in neutron reflectometry

Abstract Neutron reflectometry (NR) allows us to probe into the structure of the surfaces and interfaces of various materials such as soft matters and magnetic thin films with a contrast mechanism dependent on isotopic and magnetic states. The neutron beam flux is relatively low compared to that of...

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Autores principales: Hiroyuki Aoki, Yuwei Liu, Takashi Yamashita
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/d168e5a353f1460c89ea1c0ecd10bf71
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