Probabilistic Deep Learning Approach to Automate the Interpretation of Multi-phase Diffraction Spectra-Reference-Cited by-同舟云学术

Probabilistic Deep Learning Approach to Automate the Interpretation of Multi-phase Diffraction Spectra

Published:2021-05-26 Issue:11 Volume:33 Page:4204-4215
ISSN:0897-4756
Container-title:Chemistry of Materials
language:en
Short-container-title:Chem. Mater.

Author:

Szymanski Nathan J.¹²^ORCID,Bartel Christopher J.¹²^ORCID,Zeng Yan²,Tu Qingsong²^ORCID,Ceder Gerbrand¹²^ORCID

Affiliation:

1. Department of Materials Science & Engineering, UC Berkeley, Berkeley, California 94720, United States

2. Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States

Funder

National Science Foundation

Joint Center for Energy Storage Research (JCESR), an Energy Innovation Hub funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.1c01071

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