Fast-Decoding Algorithm for Electrode Processes at Electrified Interfaces by Mean-Field Kinetic Model and Bayesian Data Assimilation: An Active-Data-Mining Approach for the Efficient Search and Discovery of Electrocatalysts

The microscopic origins of the activity and selectivity of electrocatalysts has been a long-lasting enigma since the 19th century. By applying an active-data-mining approach, employing a mean-field kinetic model and a statistical approach of Bayesian data assimilation, we demonstrate here a fast dec...

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Vydáno v:	ACS applied materials & interfaces Ročník 14; číslo 20; s. 22889
Hlavní autoři:	Sakaushi, Ken, Watanabe, Aoi, Kumeda, Tomoaki, Shibuta, Yasushi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States 25.05.2022
Témata:	data-mining electrochemical energy conversion kinetic model microscopic mechanism statistical inference data assimilation electrocatalysis
ISSN:	1944-8252, 1944-8252
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