Showing cond-mat.mtrl-sciShow all
3 papers · 1 filter
cond-mat.mtrl-sci2026
Annotated digital image correlation displacement fields from fatigue crack growth experiments
David Melching, Ferdinand Dömling, Florian Paysan +3
We present a curated dataset of planar displacement fields from eight fatigue crack growth experiments obtained via full-field digital image correlation (DIC). The dataset covers m…
cond-mat.mtrl-sci2026
Trustworthy AI-based crack-tip segmentation using domain-guided explanations
Jesco Talies, Eric Breitbarth, David Melching
Ensuring the trustworthiness and robustness of deep learning models remains a fundamental challenge, particularly in high-stakes scientific applications. In this study, we present…
cond-mat.mtrl-sci2025
Progress on Data-Driven, Multi-Objective Quantum Optimization
Thomas Plehn, Daniel Barragan-Yani, Eric Breitbarth +2
Here, we present two complementary approaches that advance quadratic unconstrained binary optimization (QUBO) toward practical use in data-driven materials design and other real-va…