Just another WordPress site - Ruhr-Universität Bochum
2024
- Y. Rezek. Using machine learning surrogate models to determine material parameters by inverse analysis of indentation data. Master Thesis, Ruhr-Universität Bochum, (2024)
- R. Shoghi, L. Morand, D. Helm et al. Optimizing machine learning yield functions using query-by-committee for support vector classification with a dynamic stopping criterion. Computational Mechanics, 74, 447–466, (2024)
- R. Shoghi, A. Hartmaier. A machine learning constitutive model for plasticity and strain hardening of polycrystalline metals based on data from micromechanical simulations. Machine Learning: Science and Technology, 5, 025008, (2024)