Machine Learning Approaches for Designing Mesoscale Structure of Li-Ion Battery Electrodes

Machine Learning Approaches for Designing Mesoscale Structure of Li-Ion Battery Electrodes

We have proposed a data-driven approach for designing the mesoscale porous structures of Li-ion battery electrodes, using three-dimensional virtual structures and machine learning techniques. Over 2000 artificial 3D structures, assuming a positive electrode composed of randomly packed spheres as the...

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Bibliographic Details
Main Authors: Yoichi Takagishi, Takumi Yamanaka, Tatsuya Yamaue
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Batteries
Subjects:
Li-ion battery
electrode
porous structure
virtual structure
machine learning
simulation
physico-chemical model
optimization
Online Access:https://www.mdpi.com/2313-0105/5/3/54

Internet

https://www.mdpi.com/2313-0105/5/3/54

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