Machine Learning Prediction of the Redox Activity of Quinones

The redox properties of quinones underlie their unique characteristics as organic battery components that outperform the conventional inorganic ones. Furthermore, these redox properties could be precisely tuned by using different substituent groups. Machine learning and statistics, on the other hand...

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Detalles Bibliográficos
Autores principales: Kichev, Ilia, Borislavov, Lyuben, Tadjer, Alia, Stoyanova, Radostina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10608659/
https://www.ncbi.nlm.nih.gov/pubmed/37895669
http://dx.doi.org/10.3390/ma16206687

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10608659/
https://www.ncbi.nlm.nih.gov/pubmed/37895669
http://dx.doi.org/10.3390/ma16206687

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