Reconstructing microstructures from statistical descriptors using neural cellular automata

P Seibert, A Raßloff, Y Zhang, K Kalina, P Reck… - Integrating Materials and …, 2024 - Springer
The problem of generating microstructures of complex materials in silico has been
approached from various directions including simulation, Markov, deep learning and …

A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation

J Fu, M Wang, B Chen, J Wang, D Xiao, M Luo… - Engineering with …, 2023 - Springer
Understanding the microstructure–property relationships of porous media is of great
practical significance, based on which macroscopic physical properties can be directly …

Fast reconstruction of microstructures with ellipsoidal inclusions using analytical descriptors

P Seibert, M Husert, MP Wollner, KA Kalina… - Computer-Aided …, 2024 - Elsevier
Microstructure reconstruction is an important and emerging aspect of computational
materials engineering and multiscale modeling and simulation. Despite extensive research …

Stochastic reconstruction of heterogeneous microstructure combining sliced Wasserstein distance and gradient optimization

Z Ma, Q Teng, P Yan, X Wu, X He - Acta Materialia, 2024 - Elsevier
Computational reconstruction methods play an important role in integrated computational
materials engineering, providing an efficient and inexpensive way for multi-modal and multi …

On the relevance of descriptor fidelity in microstructure reconstruction

P Seibert, A Raßloff, K Kalina, A Safi, P Reck… - PAMM, 2023 - Wiley Online Library
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 …

[HTML][HTML] Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data

B Pang, S Cheng, Y Huang, Y Jin, Y Guo… - Computers & …, 2025 - Elsevier
Predicting the extent of massive wildfires once ignited is essential to reduce the subsequent
socioeconomic losses and environmental damage, but challenging because of the …