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Deep Learning Models to Identify Common Phases across Mater..:
Le, Nam Q.
;
Pekala, Michael
;
New, Alexander
...
The Journal of Physical Chemistry C. 127 (2023) 44 - p. 21758-21767 , 2023
Link:
https://doi.org/10.1021/acs.jpcc.3c05147
RT Journal T1 <Title>Deep Learning Models to Identify Common Phases across Material Systems from X-ray Diffraction</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1021_acs.jpcc.3c05147&Exemplar=1&LAN=DE A1 Le, Nam Q. A1 Pekala, Michael A1 New, Alexander A1 Gienger, Edwin B. A1 Chung, Christine A1 Montalbano, Timothy J. A1 Pogue, Elizabeth A. A1 Domenico, Janna A1 Stiles, Christopher D. PB American Chemical Society (ACS) YR 2023 SN 1932-7447 SN 1932-7455 JF The Journal of Physical Chemistry C VO 127 IS 44 SP 21758 OP 21767 LK http://dx.doi.org/https://doi.org/10.1021/acs.jpcc.3c05147 DO https://doi.org/10.1021/acs.jpcc.3c05147 SF ELIB - SuUB Bremen
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