Hyperuniform states of matter are correlated systems that are characterized by an
anomalous suppression of long-wavelength (ie, large-length-scale) density fluctuations …

Building sensible processing-structure-property (PSP) links to gain fundamental insights and
understanding of materials behavior has been the focus of many works in computational …

We formulate a procedure to reconstruct the structure of general random heterogeneous
media from limited morphological information by extending the methodology of Rintoul and …

Probabilistic inversion within a multiple‐point statistics framework is often computationally
prohibitive for high‐dimensional problems. To partly address this, we introduce and evaluate …

Generative adversarial networks (GANs) can be trained to generate three-dimensional (3D)
image data, which are useful for design optimization. However, this conventionally requires …

Data-driven methods are emerging as an important toolset in the studies of multiscale,
multiphysics, materials phenomena. More specifically, data mining and machine learning …

The purpose of the present article is to review recent advances made in the determination
and calculation of improved bounds on the effective properties of random heterogeneous …

We introduce the medial axis as a tool in the analysis of geometric structure of void space in
porous media. The medial axis traces the fundamental geometry of the void pathways. We …

The optics of correlated disordered media is a conceptually rich research topic emerging at
the interface between the physics of waves in complex media and nanophotonics. Inspired …

Microstructure characterization and reconstruction have become indispensable parts of
computational materials science. The main contribution of this paper is to introduce a …