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Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy *
Author(s) -
Yongtao Liu,
Rama K. Vasudevan,
Kyle P. Kelley,
Dohyung Kim,
Yogesh Sharma,
Mahshid Ahmadi,
Sergei V. Kalinin,
Maxim Ziatdinov
Publication year - 2021
Publication title -
machine learning: science and technology
Language(s) - English
Resource type - Journals
ISSN - 2632-2153
DOI - 10.1088/2632-2153/ac28de
Subject(s) - autoencoder , excitation , invariant (physics) , microscopy , spectral line , photoluminescence , resonance (particle physics) , decoding methods , raman spectroscopy , diffraction , physics , pattern recognition (psychology) , materials science , molecular physics , artificial intelligence , nuclear magnetic resonance , optics , mathematics , computer science , atomic physics , algorithm , quantum mechanics , deep learning

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