Conditional diffusion-based microstructure reconstruction
Microstructure reconstruction, a major component of inverse computational materials
engineering, is currently advancing at an unprecedented rate. While various training-based …
engineering, is currently advancing at an unprecedented rate. While various training-based …
Microstructure reconstruction using diffusion-based generative models
This paper proposes a microstructure reconstruction framework with denoising diffusion
models for the first time. The novelty and strength of the proposed model lie in its universality …
models for the first time. The novelty and strength of the proposed model lie in its universality …
Two-stage 2D-to-3D reconstruction of realistic microstructures: Implementation and numerical validation by effective properties
Realistic microscale domains are an essential step towards making modern multiscale
simulations more applicable to computational materials engineering. For this purpose, 3D …
simulations more applicable to computational materials engineering. For this purpose, 3D …
Microstructure Characterization and Reconstruction in Python: MCRpy
Microstructure characterization and reconstruction (MCR) is an important prerequisite for
empowering and accelerating integrated computational materials engineering. Much …
empowering and accelerating integrated computational materials engineering. Much …
Descriptor-based reconstruction of three-dimensional microstructures through gradient-based optimization
Microstructure reconstruction is an important cornerstone to the inverse materials design
concept. In this work, a general algorithm is developed to reconstruct a three-dimensional …
concept. In this work, a general algorithm is developed to reconstruct a three-dimensional …
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) …
Local–global decompositions for conditional microstructure generation
Conditional microstructure generation tools offer an important, inexpensive pathway to
constructing statistically diverse datasets for Integrated Computational Materials …
constructing statistically diverse datasets for Integrated Computational Materials …
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 …