Reconstruction, optimization, and design of heterogeneous materials and media: Basic principles, computational algorithms, and applications
Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …
a wide variety of phenomena with applications to many disciplines, ranging from condensed …
Optimal deployment mechanism of blockchain in resource-constrained IoT systems
The recently emerging blockchain technology provides a promising tool to enable
endogenous security in Internet-of-Things (IoT) systems. However, when applying the …
endogenous security in Internet-of-Things (IoT) systems. However, when applying the …
Large-scale statistical learning for mass transport prediction in porous materials using 90,000 artificially generated microstructures
Effective properties of functional materials crucially depend on their 3D microstructure. In this
paper, we investigate quantitative relationships between descriptors of two-phase …
paper, we investigate quantitative relationships between descriptors of two-phase …
Tomography in soil science: From the first experiments to modern methods (A review)
The article provides an overview of the use of computed tomography in the study of soils
from the first works to the present time. The development of computed tomography in the …
from the first works to the present time. The development of computed tomography in the …
In search for representative elementary volume (REV) within heterogeneous materials: A survey of scalar and vector metrics using porous media as an example
Abstract The Representative Elementary Volume (REV) concept, a cornerstone in porous
system heterogeneity assessment, was initially conceived to determine the minimal domain …
system heterogeneity assessment, was initially conceived to determine the minimal domain …
Predicting permeability via statistical learning on higher-order microstructural information
Quantitative structure–property relationships are crucial for the understanding and prediction
of the physical properties of complex materials. For fluid flow in porous materials …
of the physical properties of complex materials. For fluid flow in porous materials …
Robust surface-correlation-function evaluation from experimental discrete digital images
Correlation functions (CFs) are universal structural descriptors; surface-surface F ss and
surface-void F sv CFs are a subset containing additional information about the interface …
surface-void F sv CFs are a subset containing additional information about the interface …
Measuring structural nonstationarity: The use of imaging information to quantify homogeneity and inhomogeneity
Heterogeneity is the concept we encounter in numerous research areas and everyday life.
While “not mixing apples and oranges” is easy to grasp, a more quantitative approach to …
While “not mixing apples and oranges” is easy to grasp, a more quantitative approach to …
The 2-and 3-point surface correlation functions calculations: From novel exact continuous approach to improving methodology for discrete images
Surface correlation functions are extremely useful descriptors of interfaces and in this role
can be used in material science, rock and soil physics, food engineering and other …
can be used in material science, rock and soil physics, food engineering and other …
Inverse design of anisotropic spinodoid materials with prescribed diffusivity
The three-dimensional microstructure of functional materials determines its effective
properties, like the mass transport properties of a porous material. Hence, it is desirable to …
properties, like the mass transport properties of a porous material. Hence, it is desirable to …