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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…

cond-mat.mtrl-sci2024

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…

cond-mat.mtrl-sci2024

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…

cond-mat.mtrl-sci2024

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…