Generating digital twins of mesoporous silica by graph-based stochastic microstructure modeling
Sign Up to like & getrecommendations! Published in 2021 at "Computational Materials Science"
DOI: 10.1016/j.commatsci.2020.109934
Abstract: Abstract Silica monoliths are hierarchically structured, versatile materials that are widely used in analytical separation science, e.g., liquid chromatography. Their functionality strongly depends on the 3D morphology of their macropore and mesopore spaces. In the… read more here.
Keywords: digital twins; twins mesoporous; generating digital; mesoporous silica ... See more keywords
Stochastic 3D microstructure modeling of anodes in lithium-ion batteries with a particular focus on local heterogeneity
Sign Up to like & getrecommendations! Published in 2021 at "Computational Materials Science"
DOI: 10.1016/j.commatsci.2021.110354
Abstract: Abstract Lithium-ion batteries can be considered as one of the most important energy storing devices. To satisfy the rapidly growing demand for higher energy densities, as for example required by automotive applications, the optimization of… read more here.
Keywords: lithium ion; local heterogeneity; microstructure; particular focus ... See more keywords
Stochastic 3D microstructure reconstruction and mechanical modeling of anisotropic battery separators
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Power Sources"
DOI: 10.1016/j.jpowsour.2019.05.021
Abstract: Abstract This paper presents a 3D microstructure model to predict mechanical behaviors of the anisotropic battery separator. A statistical characterization and stochastic reconstruction method is established to enable 3D microstructure modeling based on 2D microscopic… read more here.
Keywords: reconstruction; anisotropic battery; microstructure reconstruction; microstructure ... See more keywords