Elucidating proximity magnetism through polarized neutron reflectometry and machine learning

Elucidating proximity magnetism through polarized neutron reflectometry and machine learning

<jats:p> Polarized neutron reflectometry is a powerful technique to interrogate the structures of multilayered magnetic materials with depth sensitivity and nanometer resolution. However, reflectometry profiles often inhabit a complicated objective function landscape using traditional fitting...

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Bibliographic Details
Main Authors: Andrejevic, Nina, Chen, Zhantao, Nguyen, Thanh, Fan, Leon, Heiberger, Henry, Zhou, Ling-Jie, Zhao, Yi-Fan, Chang, Cui-Zu, Grutter, Alexander, Li, Mingda
Other Authors: Massachusetts Institute of Technology. Department of Materials Science and Engineering
Format: Article
Language:English
Published: AIP Publishing 2022
Online Access:https://hdl.handle.net/1721.1/145472

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https://hdl.handle.net/1721.1/145472

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