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Dataset Information

Metrics for studying the porous void space of packed particles.


ABSTRACT: Characterizing porosity in packed particle assemblies is a complex task that requires advanced analytical tools. We present a visually rich and extensive library of global, pore-based, and other metrics for analyzing features of porosity in such assemblies. Our library includes over 25 descriptors of "3D pores" that are identified using our LOVAMAP software. By applying our metrics to a set of simulated packings that vary by particle size, shape, and stiffness, we reveal predictable relationships between particle and void space characteristics. We identify two fundamental parameters of a monodisperse particle system - particle diameter (δ) and void volume fraction (ϕ) - that govern several void space features, such as the total number of bottlenecks (i.e., doors between pores), the median

SUBMITTER: Riley L 

PROVIDER: S-EPMC12324226 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature