Titlebook: Machine Learning-Augmented Spectroscopies for Intelligent Materials Design; Nina Andrejevic Book 2022 The Editor(s) (if applicable) and Th

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Machine Learning-Assisted Parameter Retrieval from Polarized Neutron Reflectometry Measurements,ity magnetism in good agreement with the results of conventional fitting. We further analyze a more challenging reflectometry profile of the topological insulator–antiferromagnet heterostructure (Bi,Sb).Te./Cr.O. and identify possible interfacial proximity magnetism in this material. We anticipate t

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Book 2022vel machine learning architectures are proposed in this thesis work which leverage the case when the data is scarce and utilize the internal symmetry of the system to improve the training quality. The work sheds light on future pathways to apply machine learning to augment experiments..

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