Publications

Benjamin Uhrich, Tim Häntschel, Martin Schäfer, and Erhard Rahm. Neural Diffusion Graph Convolutional Network for Predicting Heat Transfer in Selective Laser Melting. International Workshop on Combinatorial Image Analysis, 150--164, 2024. [PUMA: area_bigdata ep imported topic_physchemistry xack yaff]

Benjamin Uhrich, Nils Pfeifer, Martin Schäfer, Oliver Theile, and Erhard Rahm. Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing. Applied Intelligence, (54)6:4736--4755, Springer, 2024. [PUMA: area_bigdata ep imported topic_physchemistry xack yaff]

Benjamin Uhrich, Martin Schäfer, Oliver Theile, and Erhard Rahm. Using Physics-Informed Machine Learning to Optimize 3D Printing Processes. Progress in Digital and Physical Manufacturing, 2022. [PUMA: area_bigdata topic_physchemistry]

Benjamin Uhrich, Nikolai Hlubek, Tim Häntschel, and Erhard Rahm. Using differential equation inspired machine learning for valve faults prediction. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), IEEE, July 2023. [PUMA: area_bigdata topic_physchemistry]

Markus Bauer, Benjamin Uhrich, Martin Schäfer, Oliver Theile, Christoph Augenstein, and Erhard Rahm. Multi-modal artificial intelligence in additive manufacturing: Combining thermal and camera images for 3D-print quality monitoring. Proceedings of the 25th International Conference on Enterprise Information Systems, SCITEPRESS - Science and Technology Publications, 2023. [PUMA: area_bigdata unit_transfer topic_physchemistry]