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Hybrid Machine Learning for Scanning Near-Field Optical Spectroscopy [electronic resource]

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Bibliographic Details
Online Access:	Full Text (via OSTI)
Corporate Authors:	Lawrence Berkeley National Laboratory (Researcher), Brookhaven National Laboratory (Researcher), Lawrence Berkeley National Laboratory, E-Scholarship Repository, Berkeley, CA (United States)
Format:	Government Document Electronic eBook
Language:	English
Published:	Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2021.
Subjects:	47 other instrumentation 36 materials science Ssnom Nanoftir Nearfield optics Supervised learning Hybrid neural network Light Insulators Layers Et al Other instrumentation Materials science S-snom Nano-ftir Near-field optics

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Call Number:	E 1.99:BNL-222406-2021-JAAM
E 1.99:BNL-222406-2021-JAAM	Available