Peirlinck, MathiasMathiasPeirlinckLinka, KevinKevinLinkaKuhl, EllenEllenKuhl2025-11-192025-11-192025-0613th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2025https://hdl.handle.net/11420/58923This work presents a novel approach for characterizing the mechanical behavior of atrial tissue using constitutive neural networks. Based on experimental biaxial tensile test data of healthy human atria, we automatically discover the most appropriate constitutive material model, thereby overcoming the limitations of traditional, pre-defined models. This approach offers a new perspective on modeling atrial mechanics and is a significant step towards improved simulation and prediction of cardiac health.enatrial mechanicsmaterial model discoveryconstitutive modelingconstitutive neural networksTechnology::620: Engineering::620.1: Engineering Mechanics and Materials ScienceConference Paper10.1007/978-3-031-94559-5_23Conference Paper