Johannes Dornheim

Neural Networks for Constitutive Modeling: From Universal Function Approximators to Advanced Models and the Integration of Physics

Johannes Dornheim, Lukas Morand, Hemanth Janarthanam Nallani et al. · Archives of Computational Methods in Engineering · 2023 · 64 citations · Full text

Engineering, Machine Learning, Mechanical Engineering +19

Deep reinforcement learning methods for structure-guided processing path optimization

Johannes Dornheim, Lukas Morand, Samuel Zeitvogel et al. · Journal of Intelligent Manufacturing · 2021 · 23 citations · Full text

Machine learning for structure-guided materials and process design

Lukas Morand, Tarek Iraki, Johannes Dornheim et al. · Materials & Design · 2024 · 17 citations · Full text

Efficient Exploration of Microstructure-Property Spaces via Active Learning

Lukas Morand, Norbert Link, Tarek Iraki et al. · Frontiers in Materials · 2022 · 16 citations · Full text

Artificial Intelligence, Efficient Exploration, Geometric Learning +17

A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties

Tarek Iraki, Lukas Morand, Johannes Dornheim et al. · Journal of Intelligent Manufacturing · 2023 · 12 citations · Full text