Machine learning-assisted optimization design for enhanced oxygen evolution reaction based on vanadium-doped nickel–cobalt layered double hydroxides

The increasing demand for sustainable energy has driven significant research into efficient water splitting, particularly the development of electrocatalysts for the oxygen evolution reaction (OER) which is limited by sluggish kinetics.

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Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ta03069b
Citations
10
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
5.18
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article

Machine learning-assisted optimization design for enhanced oxygen evolution reaction based on vanadium-doped nickel–cobalt layered double hydroxides

Hou-Chien Chang, Ming-Der Yang, P. Chandrasekaran, Chih‐Ming Chen et al.
10 citations
Journal of Materials Chemistry A
Catalytic Processes in Materials Science
5.18
article

Machine learning-assisted optimization design for enhanced oxygen evolution reaction based on vanadium-doped nickel–cobalt layered double hydroxides

Hou-Chien Chang, Ming-Der Yang, P. Chandrasekaran, Chih‐Ming Chen, Hung‐Chung Li, Ting-Yu Lo
article en
10 citations

Abstract

The increasing demand for sustainable energy has driven significant research into efficient water splitting, particularly the development of electrocatalysts for the oxygen evolution reaction (OER) which is limited by sluggish kinetics.

Journal of Materials Chemistry AVol. 13(35)
National Chung Hsing University (TW)
Openalex Percentile: Top 4%
Catalytic Processes in Materials Science
5.18
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