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2026
- R. Shoghi, L. Morand, D. Helm et al. Diversity-aware batch-mode active learning for efficient sampling in data-driven constitutive modeling. Computational Materials Science, 274, 114979, (2026)
- R. Shoghi, A. Hartmaier. A machine learning-based constitutive model incorporating history-dependent features for cyclic plasticity. Computer Methods in Applied Mechanics and Engineering, 448, 118524, (2026)
2025
- R. Shoghi, A. Hartmaier. A workflow-centric approach to generating FAIR data objects for computationally generated microstructure-sensitive mechanical data. Advanced Engineering Materials, 27, 2401876, (2025)
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)
2022
- R. Shoghi, A. Hartmaier. Optimal data-generation strategy for machine learning yield functions in anisotropic plasticity. Frontiers in Materials, 9, 879614154, (2022)