3 papers
cond-mat.mtrl-sci2025
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…
cond-mat.mtrl-sci2025
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…
cond-mat.mtrl-sci2024
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…