Multi-Modal Artificial Intelligence in Additive Manufacturing: Combining Thermal and Camera Images for 3D-Print Quality Monitoring. - Markus Bauer; Benjamin Uhrich; Martin Schäfer; Oliver Theile; Christoph Augenstein; Erhard Rahm (ICEIS (1), 2023)

Using differential equation inspired machine learning for valve faults prediction. - Benjamin Uhrich; Nikolai Hlubek; Tim Häntschel; Erhard Rahm (INDIN, 2023)

Neural Diffusion Graph Convolutional Network for Predicting Heat Transfer in Selective Laser Melting. - Benjamin Uhrich; Tim Häntschel; Martin Schäfer; Erhard Rahm (ISAIM, 2024)

Physics-informed deep learning to quantify anomalies for real-time fault mitigation in 3D printing. - Benjamin Uhrich; Nils Pfeifer; Martin Schäfer; Oliver Theile; Erhard Rahm (Appl. Intell., 2024)