Prof. Dr.-Ing. Ellen Kuhl

Lehrstuhl für Technische Mechanik (LTM)

Infinite-Dimensional Closed-Loop Inverse Kinematics for Soft Robots via Neural Operators (2026) Veil C, Flaschel M, Kuhl E, Della Santina C Unpublished / Preprint Unsupervised Material Fingerprinting: Ultra-fast hyperelastic model discovery from full-field experimental measurements (2026) Flaschel M, Moreno Mateos MA, Wiesheier S, Steinmann P, Kuhl E Unpublished / Preprint Adaptive Material Fingerprinting for the fast discovery of polyconvex feature combinations in isotropic and anisotropic hyperelasticity (2026) Flaschel M, Holthusen H, Martonová D, Kuhl E Unpublished / Preprint Generalized invariants meet constitutive neural networks: A novel framework for hyperelastic materials (2025) Martonová D, Goriely A, Kuhl E Journal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