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Title: Identifying an efficient, thermally robust inorganic phosphor host via machine learning

Authors:
; ; ; ; ORCiD logo
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)
Sponsoring Org.:
National Science Foundation (NSF)
OSTI Identifier:
1480346
Resource Type:
Journal Article
Journal Name:
Nature Communications
Additional Journal Information:
Journal Volume: 9; Journal Issue: 1; Journal ID: ISSN 2041-1723
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
ENGLISH

Citation Formats

Zhuo, Ya, Mansouri Tehrani, Aria, Oliynyk, Anton O., Duke, Anna C., and Brgoch, Jakoah. Identifying an efficient, thermally robust inorganic phosphor host via machine learning. United States: N. p., 2018. Web. doi:10.1038/s41467-018-06625-z.
Zhuo, Ya, Mansouri Tehrani, Aria, Oliynyk, Anton O., Duke, Anna C., & Brgoch, Jakoah. Identifying an efficient, thermally robust inorganic phosphor host via machine learning. United States. doi:10.1038/s41467-018-06625-z.
Zhuo, Ya, Mansouri Tehrani, Aria, Oliynyk, Anton O., Duke, Anna C., and Brgoch, Jakoah. Mon . "Identifying an efficient, thermally robust inorganic phosphor host via machine learning". United States. doi:10.1038/s41467-018-06625-z.
@article{osti_1480346,
title = {Identifying an efficient, thermally robust inorganic phosphor host via machine learning},
author = {Zhuo, Ya and Mansouri Tehrani, Aria and Oliynyk, Anton O. and Duke, Anna C. and Brgoch, Jakoah},
abstractNote = {},
doi = {10.1038/s41467-018-06625-z},
journal = {Nature Communications},
issn = {2041-1723},
number = 1,
volume = 9,
place = {United States},
year = {2018},
month = {10}
}