Julian N. Heidenreich

On the potential of recurrent neural networks for modeling path dependent plasticity

Maysam B. Gorji, Mojtaba Mozaffar, Julian N. Heidenreich et al. · Journal of the Mechanics and Physics of Solids · 2020 · 271 citations

Synaptic Plasticity, Engineering, Machine Learning +12

Modeling structure-property relationships with convolutional neural networks: Yield surface prediction based on microstructure images

Julian N. Heidenreich, Maysam B. Gorji, Dirk Mohr · International Journal of Plasticity · 2022 · 69 citations

Geometric Modeling, Geometric Learning, Convolutional Neural Network +12

Modeling stress-strain curves with neural networks: a scalable alternative to the return mapping algorithm

Maxime Lavech du Bos, Fadoua Balabdaoui, Julian N. Heidenreich · Computational Materials Science · 2020 · 31 citations

Engineering, Return Mapping Algorithm, Strain Localization +12

Recurrent neural network plasticity models: Unveiling their common core through multi-task learning

Julian N. Heidenreich, Dirk Mohr · Computer Methods in Applied Mechanics and Engineering · 2024 · 31 citations · Full text

Transfer learning of recurrent neural network‐based plasticity models

Julian N. Heidenreich, Colin Bonatti, Dirk Mohr · International Journal for Numerical Methods in Engineering · 2023 · 30 citations · Full text

Engineering, Machine Learning, Multiscale Mechanics +18