6 papers · 1 filter
Deep learning-enabled large-scale analysis of particle geometry-lithiation correlations in battery cathode materials
Binbin Lin, Luis J. Carrillo, Xiang-Long Peng +4
A deep learning model is employed to address the challenging problem of V2O5 nanoparticle segmentation and the correlation between the chemical composition and the geometrical feat…
Deciphering the interplay between wetting and chemo-mechanical fracture in lithium-ion battery cathode materials
Wan-Xin Chen, Luis J. Carrillo, Arnab Maji +4
Crack growth in lithium-ion battery electrodes is typically detrimental and undesirable. However, recent experiments suggest that stabilized fracture of cathode active materials in…
A length-scale insensitive cohesive phase-field interface model: application to concurrent bulk and interface fracture simulation in Lithium-ion battery materials
Wan-Xin Chen, Xiang-Long Peng, Jian-Ying Wu +3
A new cohesive phase-field (CPF) interface fracture model is proposed on the basis of the Euler-Lagrange equation of the phase-field theory and the interface fracture energy check…
A defect-chemistry-informed phase-field model of grain growth in oxide ceramics: application to Fe-doped SrTiO3
Kai Wang, Roger A. De Souza, Xiang-Long Peng +4
Dopants can significantly affect the properties of oxide ceramics through their impact on the property-determined microstructure characteristics such as grain boundary (GB) segrega…
What can machine learning help with microstructure-informed materials modeling and design?
Xiang-Long Peng, Mozhdeh Fathidoost, Binbin Lin +2
Machine learning techniques have been widely employed as effective tools in addressing various engineering challenges in recent years, particularly for the challenging task of micr…
Unraveling impacts of polycrystalline microstructures on ionic conductivity of ceramic electrolytes by computational homogenization and machine learning
Xiang-Long Peng, Bai-Xiang Xu
The ionic conductivity at the grain boundaries (GBs) in oxide ceramics is typically several orders of magnitude lower than that within the grain interior. This detrimental GB effec…