Prof. Dr.-Ing. Ellen Kuhl

Lehrstuhl für Technische Mechanik (LTM)

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 Infinite-Dimensional Closed-Loop Inverse Kinematics for Soft Robots via Neural Operators (2026) Veil C, Flaschel M, Kuhl E, Della Santina C Unpublished / Preprint Generalized invariants meet constitutive neural networks: A novel framework for hyperelastic materials (2025) Martonová D, Goriely A, Kuhl E Journal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 The mechanical and sensory signature of plant-based and animal meat (2024) St. Pierre SR, Darwin EC, Adil D, Aviles MC, Date A, Dunne RA, Lall Y, et al. Journal article Automated model discovery for human cardiac tissue (2024) Martonová D, Peirlinck M, Linka K, Holzapfel GA, Leyendecker S, Kuhl E Conference contribution, Conference Contribution