Universal metrics for predicting the activity of a wide range of fuel-cell catalysts

Universal metrics for predicting the activity of a wide range of fuel-cell catalysts

ABSTRACTThe increasing demand for universal metrics in material development, particularly in the context of material informatics (MI), emphasises the need for catalytic activity metrics in fuel-cell research, specifically for the oxygen reduction reaction (ORR). In this study, we comprehensively ana...

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Bibliographic Details
Main Authors: Ganesan Elumalai, Satoshi Tominaka
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Science and Technology of Advanced Materials: Methods
Subjects:
Fuel cells
catalysts
oxygen reduction reaction
universal metrics
materials informatics
data science
Online Access:https://www.tandfonline.com/doi/10.1080/27660400.2023.2278319

Internet

https://www.tandfonline.com/doi/10.1080/27660400.2023.2278319

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