Geometric deep learning as an enabler for data consistency and interoperability in manufacturing. - Patrick Bründl; Benedikt Scheffler; Christopher Straub; Micha Stoidner; Huong Giang Nguyen; Jörg Franke (J. Ind. Inf. Integr., 2025)

Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings. - Christopher Straub; Philipp Brendel; Vlad Medvedev; Andreas Rosskopf (CoRR, 2025)