1 citations · 1 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2026
Machine Learning Inference Limits of Routine Cement Characterization for CEM I Performance: Evidence From a Multi-Producer Dataset
Marchellino Ghorayeb, Christiane Rößler, Horst-Michael Ludwig +2
Routine cement performance characterization provides continuous quality control data, but its information content for performance inference and transferability across independent p…
cond-mat.mtrl-sci2023★ 1 cited
A python tool to determine the thickness of the hydrate layer around clinker grains using SEM-BSE images
Florian Kleiner, Franz Becker, Christiane Rößler +1
To accurately simulate the hydration process of cementitious materials, understanding the growth rate of C-S-H layers around clinker grains is crucial. Nonetheless, the thickness o…