DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets
Microstructure reconstruction is an important and emerging field of research and an
essential foundation to improving inverse computational materials engineering (ICME) …
essential foundation to improving inverse computational materials engineering (ICME) …
Reconstructing microstructures from statistical descriptors using neural cellular automata
The problem of generating microstructures of complex materials in silico has been
approached from various directions including simulation, Markov, deep learning and …
approached from various directions including simulation, Markov, deep learning and …
Multi-plane denoising diffusion-based dimensionality expansion for 2D-to-3D reconstruction of microstructures with harmonized sampling
Acquiring reliable microstructure datasets is a pivotal step toward the systematic design of
materials with the aid of integrated computational materials engineering (ICME) approaches …
materials with the aid of integrated computational materials engineering (ICME) approaches …
Fast reconstruction of microstructures with ellipsoidal inclusions using analytical descriptors
Microstructure reconstruction is an important and emerging aspect of computational
materials engineering and multiscale modeling and simulation. Despite extensive research …
materials engineering and multiscale modeling and simulation. Despite extensive research …
Symmetric unisolvent equations for linear elasticity purely in stresses
In this work we introduce novel stress-only formulations of linear elasticity with special
attention to their approximate solution using weighted residual methods. We present four …
attention to their approximate solution using weighted residual methods. We present four …
Inverse design of dual-phase steel microstructures using generative machine learning model and Bayesian optimization
N Kusampudi, M Diehl - International Journal of Plasticity, 2023 - Elsevier
The design of optimal microstructures requires first, the identification of microstructural
features that influence the material's properties and, then, a search for a combination of …
features that influence the material's properties and, then, a search for a combination of …
[HTML][HTML] Mechanical property evaluation of 3D multi-phase cement paste microstructures reconstructed using generative adversarial networks
This study proposes an artificial intelligence based framework for reconstructing the 3D multi-
phase cement paste microstructure to evaluate its mechanical properties using simulation …
phase cement paste microstructure to evaluate its mechanical properties using simulation …
Scattering transform in microstructure reconstruction
Descriptor‐based microstructure characterization plays a crucial role in the field of reversed
material engineering for random heterogeneous media. With the advent of differentiable …
material engineering for random heterogeneous media. With the advent of differentiable …
On the relevance of descriptor fidelity in microstructure reconstruction
A common strategy for reducing the computational effort of descriptor‐based microstructure
reconstruction in the Yeong–Torquato algorithm lies in restricting the choice of descriptors to …
reconstruction in the Yeong–Torquato algorithm lies in restricting the choice of descriptors to …
Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs
Integrated computational materials engineering (ICME) has significantly enhanced the
systemic analysis of the relationship between microstructure and material properties, paving …
systemic analysis of the relationship between microstructure and material properties, paving …