Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering

Abstract The 4D scanning transmission electron microscopy (STEM) method maps the structure and functionality of solids on the atomic scale, yielding information-rich data sets describing the interatomic electric and magnetic fields, structural and electronic order parameters, and other symmetry brea...

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Autores principales: Mark P. Oxley, Maxim Ziatdinov, Ondrej Dyck, Andrew R. Lupini, Rama Vasudevan, Sergei V. Kalinin
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/ecf1dba1c93343adbad24d4051791a72
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