3 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 RöÃler, 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…
math.NA2026
Lightweight return-mapping surrogates for multiscale plasticity: a practical guide
Alireza Daneshyar, Leon Herrmann, Stefan Kollmannsberger
This paper presents a practical guide to building lightweight neural-network surrogates for the plastic return-mapping process in concurrent multiscale (FE2) simulations. Rather th…
cs.CE2025
A Memory Efficient Adjoint Method to Enable Billion Parameter Optimization on a Single GPU in Dynamic Problems
Leon Herrmann, Tim Bürchner, László Kudela +1
Dynamic optimization is currently limited by sensitivity computations that require information from full forward and adjoint wave fields. Since the forward and adjoint solutions ar…