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Machine learning-accelerated prediction of overpotential of oxygen evolution reaction of single-atom catalysts
The oxygen evolution reaction (OER) is a critical reaction for energy-related applications, yet suffers from its slow kinetics and large overpotential. It is desirable to develop effective OER electrocatalysts, such as single-atom catalysts (SACs). Here, we demonstrate machine learning (ML)-accelera...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8099497/ https://www.ncbi.nlm.nih.gov/pubmed/33997683 http://dx.doi.org/10.1016/j.isci.2021.102398 |