Cargando…
Density functional theory and machine learning for electrochemical square-scheme prediction: an application to quinone-type molecules relevant to redox flow batteries
Proton–electron transfer (PET) reactions are rather common in chemistry and crucial in energy storage applications. How electrons and protons are involved or which mechanism dominates is strongly molecule and pH dependent. Quantum chemical methods can be used to assess redox potential (E(red.)) and...
Autores principales: | Hashemi, Arsalan, Khakpour, Reza, Mahdian, Amir, Busch, Michael, Peljo, Pekka, Laasonen, Kari |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
RSC
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561546/ https://www.ncbi.nlm.nih.gov/pubmed/38013904 http://dx.doi.org/10.1039/d3dd00091e |
Ejemplares similares
-
Understanding Electron
Transfer Reactions Using Constrained
Density Functional Theory: Complications Due to Surface Interactions
por: Hashemi, Arsalan, et al.
Publicado: (2023) -
Computational design of molecules for an all-quinone redox flow battery
por: Er, Süleyman, et al.
Publicado: (2015) -
Temperature-Controlled
Syngas Production via Electrochemical
CO(2) Reduction on a CoTPP/MWCNT Composite in a Flow Cell
por: Hossain, M. Noor, et al.
Publicado: (2022) -
Thermodynamics, Charge Transfer and Practical Considerations of Solid Boosters in Redox Flow Batteries
por: Moghaddam, Mahdi, et al.
Publicado: (2021) -
Unveiling KuQuinone
Redox Species: An Electrochemical
and Computational Cross Study
por: Valentini, Francesca, et al.
Publicado: (2021)