Denoising STEM Electron Energy Loss Spectra using Convolutional Autoencoders
Source abstract
Abstract
Mark Oxley, Maxim Ziatdinov, Sergei Kalinin; Denoising STEM Electron Energy Loss Spectra using Convolutional Autoencoders, Microscopy and Microanalysis, Vo
Only a short abstract or summary was supplied by the source.
Source: openalex_inverted_index · Quality: short
Research context
OpenAlex topics: Electron and X-Ray Spectroscopy Techniques · Machine Learning in Materials Science · Advanced Electron Microscopy Techniques and Applications
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References (3)
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1. Bonnet · Journal of Microscopy · 1998 · 19010.1046/j.1365-2818.1998.3250876.x ↗
2. ;
3. [3] This effort (ML and STEM) is based upon work supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences (BES), Materials Sciences and Engineering Division (M.P.O., S.V.K.) and was performed and partially supported (M.Z.) at the Oak Ridge National Laboratory's Center for Nanophase Materials Sciences (CNMS), a U.S. Department of Energy, Office of Science User Facility.