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Yao, Tengyu, Xu, Zhenming, Hu, Tingsong, Hu, Kang, Cui, Xueliang, Shen, Laifa (2024) High-Throughput Computation and Machine Learning Prediction Accelerating the Design of Cathode Catalysts for Li–CO2 Batteries. The Journal of Physical Chemistry C, 128 (28) 11534-11542 doi:10.1021/acs.jpcc.4c02641

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Reference TypeJournal (article/letter/editorial)
TitleHigh-Throughput Computation and Machine Learning Prediction Accelerating the Design of Cathode Catalysts for Li–CO2 Batteries
JournalThe Journal of Physical Chemistry C
AuthorsYao, TengyuAuthor
Xu, ZhenmingAuthor
Hu, TingsongAuthor
Hu, KangAuthor
Cui, XueliangAuthor
Shen, LaifaAuthor
Year2024 (July 18)Volume128
Page(s)11534-11542Issue28
PublisherAmerican Chemical Society (ACS)
DOIdoi:10.1021/acs.jpcc.4c02641Search in ResearchGate
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Mindat Ref. ID17504519Long-form Identifiermindat:1:5:17504519:0
GUID0
Full ReferenceYao, Tengyu, Xu, Zhenming, Hu, Tingsong, Hu, Kang, Cui, Xueliang, Shen, Laifa (2024) High-Throughput Computation and Machine Learning Prediction Accelerating the Design of Cathode Catalysts for Li–CO2 Batteries. The Journal of Physical Chemistry C, 128 (28) 11534-11542 doi:10.1021/acs.jpcc.4c02641
Plain TextYao, Tengyu, Xu, Zhenming, Hu, Tingsong, Hu, Kang, Cui, Xueliang, Shen, Laifa (2024) High-Throughput Computation and Machine Learning Prediction Accelerating the Design of Cathode Catalysts for Li–CO2 Batteries. The Journal of Physical Chemistry C, 128 (28) 11534-11542 doi:10.1021/acs.jpcc.4c02641
In(2024, July) The Journal of Physical Chemistry C Vol. 128 (28) American Chemical Society (ACS)

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