activity
20242026
collaborators

14 papers

stat.ME2026

Fitting the topology of synthetic particle systems with a novel graph representation

Martin Alexander Memmesheimer, Claudia Redenbach

The shape and arrangement of particles in a material determine its macroscopic properties. The generation of synthetic data with varying particle structure, often represented as 3D…

cs.CV2026

Synthetic Defect Geometries of Cast Metal Objects Modeled via 2d Voronoi Tessellations

Natascha Jeziorski, Petra Gospodnetić, Claudia Redenbach

In industry, defect detection is crucial for quality control. Non-destructive testing (NDT) methods are preferred as they do not influence the functionality of the object while ins…

cs.CE2025

Increasing Inter-Fiber Contact in the Altendorf-Jeulin Model

Alex Keilmann, Claudia Redenbach, Francois Willot

In fields such as material design or biomedicine, fiber materials play an important role. Fiber simulations, also called digital twins, provide a basis for testing and optimizing t…

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…

stat.ME2025

Goodness-of-fit tests for spatial point processes: A power study

Chiara Fend, Claudia Redenbach

Spatial point processes are used as models in many different fields ranging from ecology and forestry to cosmology and materials science. In recent years, model validation, and in…

stat.ME2025

Bayesian inference for Neyman-Scott point processes with anisotropic clusters

Jiří Dvořák, Emily Ewers, Tomáš Mrkvička +1

There are few inference methods available to accommodate covariate-dependent anisotropy in point process models. To address this, we propose an extended Bayesian MCMC approach for…