An Efficient Methodology Combining K-Means Machine Learning and Electrochemical Modelling for the Determination of Ionic Diffusivity and Kinetic Properties in Battery Electrodes

An Efficient Methodology Combining K-Means Machine Learning and Electrochemical Modelling for the Determination of Ionic Diffusivity and Kinetic Properties in Battery Electrodes

This paper presents an innovative and efficient methodology for the determination of the solid-state diffusion coefficient in electrode materials with phase transitions for which the assumption of applying the well-known formula from the work of Weppner et al. is not satisfied. This methodology incl...

Full description

Bibliographic Details
Main Authors: Odile Capron, Luis D. Couto
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Materials
Subjects:
Galvanostatic Intermittent Titration Technique (GITT)
unsupervised machine learning
k-means clustering
electrochemical model
pseudo-two-dimensional
sodium ion
Online Access:https://www.mdpi.com/1996-1944/16/14/5146

Internet

https://www.mdpi.com/1996-1944/16/14/5146

Similar Items