Implementation of shear thinning behavior in the fused filament fabrication melting model: Analytical solution and experimental validation JLC Quintana, S Hiemer, NG Duarte, T Osswald Additive Manufacturing 37, 101687, 2021 | 25 | 2021 |
Predicting the failure of two-dimensional silica glasses F Font-Clos, M Zanchi, S Hiemer, S Bonfanti, R Guerra, M Zaiser, ... Nature communications 13 (1), 2820, 2022 | 22 | 2022 |
From mechanism-based to data-driven approaches in materials science S Hiemer, S Zapperi Materials Theory 5 (1), 4, 2021 | 12 | 2021 |
Predicting creep failure by machine learning-which features matter? S Hiemer, P Moretti, S Zapperi, M Zaiser Forces in Mechanics 9, 100141, 2022 | 6 | 2022 |
A novel study on the sandwich‐structure strain sensor using ethylene‐vinyl acetate‐based hot‐melt adhesive mesh web: Fabrication, properties, and modeling M Qu, J Fang, C Mu, Y Li, S Huang, L Han, S Hiemer, W Xu, Y Qin Journal of Applied Polymer Science 139 (48), e53209, 2022 | 5 | 2022 |
Relating plasticity to dislocation properties by data analysis: scaling vs. machine learning approaches S Hiemer, H Fan, M Zaiser Materials Theory 7 (1), 1, 2023 | 3 | 2023 |
Computational design of mechanical metamaterials S Bonfanti, S Hiemer, R Zulkarnain, R Guerra, M Zaiser, S Zapperi Nature Computational Science 4 (8), 574-583, 2024 | 2 | 2024 |
Predicting Materials Deformation and Failure by Machine Learning S Hiemer Dissertation, Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg …, 2023 | | 2023 |
Module name S Hiemer, PDDP Moretti, J Möller Module description, 209, 0 | | |