Structure-Guided Processing Path Optimization with Deep Reinforcement Learning. - Johannes Dornheim; Lukas Morand; Samuel Zeitvogel; Tarek Iraki; Norbert Link; Dirk Helm (CoRR, 2020)

A multi-task learning-based optimization approach for finding diverse sets of material microstructures with desired properties and its application to texture optimization. - Tarek Iraki; Lukas Morand; Johannes Dornheim; Norbert Link; Dirk Helm (CoRR, 2021)

Deep reinforcement learning methods for structure-guided processing path optimization. - Johannes Dornheim; Lukas Morand; Samuel Zeitvogel; Tarek Iraki; Norbert Link; Dirk Helm (J. Intell. Manuf., 2022)

Generative models for capturing and exploiting the influence of process conditions on process curves. - Tarek Iraki; Norbert Link (J. Intell. Manuf., 2022)

Machine learning for structure-guided materials and process design. - Lukas Morand; Tarek Iraki; Johannes Dornheim; Stefan Sandfeld; Norbert Link; Dirk Helm (CoRR, 2023)

A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties. - Tarek Iraki; Lukas Morand; Johannes Dornheim; Norbert Link; Dirk Helm (J. Intell. Manuf., 2024)