3 papers
cond-mat.mtrl-sci2026
Tracking the Emergence and Persistence of Abnormal Grain Growth in an Aluminum Alloy using Diffraction-Contrast Tomography
Helmuth-André Schulz-Harder, Karolína Gutbrod, Madlen Atzen +12
Abnormal grain growth is inherently three-dimensional, making 3D tracking of grain evolution essential for understanding its underlying mechanisms. This study combines synchrotron-…
cs.CV2025
Fitting Generalized Power Diagrams to 3D Image Data: A Prerequisite for Virtual Materials Testing
Andreas Alpers, Orkun Furat, Christian Jung +4
This paper reviews algorithmic and modeling approaches for fitting generalized power diagrams to three-dimensional image data, a key step in virtual materials testing (VMT). Beyond…
cond-mat.mtrl-sci2025
Statistical learning of structure-property relationships for transport in porous media, using hybrid AI modeling
Somayeh Hosseinhashemi, Philipp Rieder, Orkun Furat +5
The 3D microstructure of porous media, such as electrodes in lithium-ion batteries or fiber-based materials, significantly impacts the resulting macroscopic properties, including e…