Robust surface-correlation-function evaluation from experimental discrete digital images
A Samarin, V Postnicov, MV Karsanina, EV Lavrukhin… - Physical Review E, 2023 - APS
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 …
The 2-and 3-point surface correlation functions calculations: From novel exact continuous approach to improving methodology for discrete images
V Postnicov, MV Karsanina, A Khlyupin… - Physica A: Statistical …, 2023 - Elsevier
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 …
Effect of the image resolution on the statistical descriptors of heterogeneous media
The characterization and reconstruction of heterogeneous materials, such as porous media
and electrode materials, involve the application of image processing methods to data …
and electrode materials, involve the application of image processing methods to data …
A new statistical descriptor for the physical characterization and 3D reconstruction of heterogeneous materials
Abstract 3D reconstruction of heterogeneous materials from 2D images is essential for a
precise characterization of their physical properties (mechanical, thermal, electrical, and so …
precise characterization of their physical properties (mechanical, thermal, electrical, and so …
Three-dimensional porous structure reconstruction based on structural local similarity via sparse representation on micro-computed-tomography images
A tomographic or image representation of three-dimensional (3D) porous media is a primary
tool for the consistent correlation and prediction of multiple physical properties. For …
tool for the consistent correlation and prediction of multiple physical properties. For …
Improving stochastic reconstructions by weighting correlation functions in an objective function
KM Gerke, MV Karsanina - Europhysics Letters, 2015 - iopscience.iop.org
Spatial correlation functions (CFs) are prominent descriptors of any structure. In this letter,
we show for the first time how proper weighting of CFs in an objective function can lead to …
we show for the first time how proper weighting of CFs in an objective function can lead to …
Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening∗
Interface structures in complex oxides remain an active area of condensed matter physics
research, largely enabled by recent advances in scanning transmission electron microscopy …
research, largely enabled by recent advances in scanning transmission electron microscopy …
[HTML][HTML] Generating 3D images of material microstructures from a single 2D image: a denoising diffusion approach
Abstract Three-dimensional (3D) images provide a comprehensive view of material
microstructures, enabling numerical simulations unachievable with two-dimensional (2D) …
microstructures, enabling numerical simulations unachievable with two-dimensional (2D) …
Fast Fourier transform and support-shift techniques for pore-scale microstructure classification using additive morphological measures
The Minkowski functionals, as the full set of additive morphological measures in three
dimensions (3D) consisting of volume, surface area, mean curvature, and total curvature …
dimensions (3D) consisting of volume, surface area, mean curvature, and total curvature …
Precise algorithms to compute surface correlation functions of two-phase heterogeneous media and their applications
Z Ma, S Torquato - Physical Review E, 2018 - APS
The quantitative characterization of the microstructure of random heterogeneous media in d-
dimensional Euclidean space R d via a variety of n-point correlation functions is of great …
dimensional Euclidean space R d via a variety of n-point correlation functions is of great …