The Good, the Bad and the Ugly: Augmenting a Black-Box Model with Expert Knowledge. - Raoul Heese; Michal Walczak; Lukas Morand; Dirk Helm; Michael Bortz (ICANN (Workshop), 2019)

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

Compensating data shortages in manufacturing with monotonicity knowledge. - Martin von Kurnatowski; Jochen Schmid; Patrick Link; Rebekka Zache; Lukas Morand; Torsten Kraft; Ingo Schmidt; Anke Stoll (CoRR, 2020)

CupNet - Pruning a Network for Geometric Data. - Raoul Heese; Lukas Morand; Dirk Helm; Michael Bortz (ICANN (4), 2021)

Compensating Data Shortages in Manufacturing with Monotonicity Knowledge. - Martin von Kurnatowski; Jochen Schmid; Patrick Link; Rebekka Zache; Lukas Morand; Torsten Kraft; Ingo Schmidt; Jan Schwientek; Anke Stoll (Algorithms, 2021)

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)

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

Semantic orchestration and exploitation of material data: A dataspace solution demonstrated on steel and cooper applications. - Yoav Nahshon; Lukas Morand; Matthias Büschelberger; Dirk Helm; Kiran Kumaraswamy; Paul Zierep; Matthias Weber; Pablo de Andrés (CoRR, 2024)

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)