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Nathan J. Szymanski
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A universal synthetic dataset for machine learning on spectroscopic data


Jun 14, 2022
Jan Schuetzke, Nathan J. Szymanski, Markus Reischl

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* 8 pages, 2 figures, 2 tables 
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A probabilistic deep learning approach to automate the interpretation of multi-phase diffraction spectra


Mar 30, 2021
Nathan J. Szymanski, Christopher J. Bartel, Yan Zeng, Qingsong Tu, Gerbrand Ceder

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