Machine learning-enabled exploration of the electrochemical stability of real-scale metallic nanoparticles

Surface Pourbaix diagrams are critical to understanding the stability of nanomaterials in electrochemical environments. Their construction based on density functional theory is, however, prohibitively expensive for real-scale systems, such as several nanometer-size nanoparticles (NPs). Herein, with...

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Detalles Bibliográficos
Autores principales: Bang, Kihoon, Hong, Doosun, Park, Youngtae, Kim, Donghun, Han, Sang Soo, Lee, Hyuck Mo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213026/
https://www.ncbi.nlm.nih.gov/pubmed/37230963
http://dx.doi.org/10.1038/s41467-023-38758-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213026/
https://www.ncbi.nlm.nih.gov/pubmed/37230963
http://dx.doi.org/10.1038/s41467-023-38758-1

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