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Performance Predictors for Organic Cathodes of Lithium-Ion ..:
Kosuke Sakano (11983789)
;
Yasuhiko Igarashi (9325475)
;
Hiroaki Imai (1556644)
...
https://figshare.com/articles/journal_contribution/Performance_Predictors_for_Organic_Cathodes_of_Lithium-Ion_Battery/18857692. , 2022
Link:
https://doi.org/10.1021/acsaem.1c03612.s002
RT Journal T1
Performance Predictors for Organic Cathodes of Lithium-Ion Battery
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_18857692&Exemplar=1&LAN=DE A1 Kosuke Sakano (11983789) A1 Yasuhiko Igarashi (9325475) A1 Hiroaki Imai (1556644) A1 Shuntaro Miyakawa (11983792) A1 Takaya Saito (5662390) A1 Yoshiki Takayanagi (10062669) A1 Koji Nishiyama (11983795) A1 Yuya Oaki (1556650) YR 2022 K1 Biophysics K1 Biochemistry K1 Infectious Diseases K1 Plant Biology K1 Space Science K1 Biological Sciences not elsewhere classified K1 Chemical Sciences not elsewhere classified K1 Information Systems not elsewhere classified K1 ideal energy density K1 training data found K1 straightforward prediction models K1 significant materials toward K1 small data set K1 performance organic cathodes K1 organic cathodes K1 prediction accuracy K1 afforded straightforward K1 small data K1 sustainable society K1 specific capacity K1 sparse modeling K1 reaction potential K1 molecular design K1 learning algorithms K1 ion batteries K1 explore high K1 driven methodology K1 chemical insight JF https://figshare.com/articles/journal_contribution/Performance_Predictors_for_Organic_Cathodes_of_Lithium-Ion_Battery/18857692 LK http://dx.doi.org/https://doi.org/10.1021/acsaem.1c03612.s002 DO https://doi.org/10.1021/acsaem.1c03612.s002 SF ELIB - SuUB Bremen
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