Modeling Heterogeneous Materials via Two-Point Correlation Functions: II. Algorithmic Details and Applications
Y. Jiao, F. H. Stillinger, S. Torquato

TL;DR
This paper details an improved algorithm for modeling heterogeneous materials using two-point correlation functions, demonstrating its application to real materials and analyzing its limitations for multi-scale structures.
Contribution
It introduces a surface-optimized lattice-point algorithm for material reconstruction from two-point correlations, enhancing speed and accuracy in modeling heterogeneous media.
Findings
Successful 3D reconstructions of sandstone and composite materials.
Algorithm struggles with accurately reproducing complex, multi-scale patterns.
Two-point correlation functions are effective for single-scale structures but limited for multi-scale media.
Abstract
In the first part of this series of two papers, we proposed a theoretical formalism that enables one to model and categorize heterogeneous materials (media) via two-point correlation functions S2 and introduced an efficient heterogeneous-medium (re)construction algorithm called the "lattice-point" algorithm. Here we discuss the algorithmic details of the lattice-point procedure and an algorithm modification using surface optimization to further speed up the (re)construction process. The importance of the error tolerance, which indicates to what accuracy the media are (re)constructed, is also emphasized and discussed. We apply the algorithm to generate three-dimensional digitized realizations of a Fontainebleau sandstone and a boron carbide/aluminum composite from the two- dimensional tomographic images of their slices through the materials. To ascertain whether the information contained…
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