Prof. Dr.-Ing. Ellen Kuhl

Lehrstuhl für Technische Mechanik (LTM)

Shape-Space Graphs: Fast and Collision-Free Path Planning for Soft Robots (2026) Veil C, Flaschel M, Kuhl E Journal article A complement to neural networks for anisotropic inelasticity at finite strains (2026) Holthusen H, Kuhl E Journal article Material Fingerprinting for rapid discovery of hyperelastic models: First experimental validation (2026) Martonová D, Kuhl E, Flaschel M Journal article Reanimating the past: From historical collections of the placenta and uterus to modern imaging, machine learning, and multiscale modeling (2026) Rolf-Pissarczyk M, Jayatissa S, Reshef J, Posch S, Kuhl E, James JL, Clark AR, Allerkamp HH Journal article, Review article Generalized invariants meet constitutive neural networks: A novel framework for hyperelastic materials (2025) Martonová D, Goriely A, Kuhl E Journal article Convex neural networks learn generalized standard material models (2025) Flaschel M, Steinmann P, De Lorenzis L, Kuhl E Journal article Discovering dispersion: How robust is automated model discovery for human myocardial tissue? (2025) Martonová D, Leyendecker S, Holzapfel GA, Kuhl E Journal article, Original article Material Fingerprinting: A shortcut to material model discovery without solving optimization problems (2025) Flaschel M, Martonová D, Veil C, Kuhl E Journal article Robust material model discovery for human myocardium (2025) Martonová D, Peirlinck M, Holzapfel GA, Leyendecker S, Kuhl E Conference contribution, Conference Contribution Discovering uncertainty: Bayesian constitutive artificial neural networks (2025) Linka K, Holzapfel GA, Kuhl E Journal article