A universal material model subroutine for soft matter systems.
Eng. Comput., April, 2025
Discovering uncertainty: Gaussian constitutive neural networks with correlated weights.
CoRR, March, 2025
A generalized dual potential for inelastic Constitutive Artificial Neural Networks: A JAX implementation at finite strains.
CoRR, February, 2025
Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling.
Comput. Biol. Medicine, 2025
Atrial Constitutive Neural Networks.
Proceedings of the Functional Imaging and Modeling of the Heart, 2025
Minimal activation with maximal reach: Reachability clouds of bio-inspired slender manipulators.
CoRR, 2024
Automated Data-Driven Discovery of Material Models Based on Symbolic Regression: A Case Study on Human Brain Cortex.
CoRR, 2024
A Simulation Tool for Physics-Informed Control of Biomimetic Soft Robotic Arms.
IEEE Robotics Autom. Lett., 2023
Theory and implementation of inelastic Constitutive Artificial Neural Networks.
CoRR, 2023
On sparse regression, Lp-regularization, and automated model discovery.
CoRR, 2023
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression.
CoRR, 2023
Benchmarks for physics-informed data-driven hyperelasticity.
CoRR, 2023
Evaluating Passive Myocardial Stiffness Using in vivo cine, cDTI, and Tagged MRI.
Proceedings of the Functional Imaging and Modeling of the Heart, 2023
Correlating tau pathology to brain atrophy using a physics-based Bayesian model.
Eng. Comput., 2022
Physics-guided deep learning for data scarcity.
CoRR, 2022
A new family of Constitutive Artificial Neural Networks towards automated model discovery.
CoRR, 2022
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems.
CoRR, 2022
A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Heart Phantoms.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
Protein-protein interactions in neurodegenerative diseases: A conspiracy theory.
PLoS Comput. Biol., 2020
Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.
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npj Digit. Medicine, 2019
Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models.
CoRR, 2019
A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems.
CoRR, 2015
Towards an instrumented tissue expander.
Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014
Human pluripotent stem cell tools for cardiac optogenetics.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Imaging-Based Computation of the Dynamics of Pelvic Floor Deformation and Strain Visualization Analysis.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010
Visualization of Particle Interactions in Granular Media.
IEEE Trans. Vis. Comput. Graph., 2008
Towards Completeness, a Multiscale Approach of Confined Particulate Systems.
Proceedings of the Visualization of Large and Unstructured Data Sets: Second workshop of the DFG's International Research Training Group "Visualization of Large and Unstructured Data Sets, 2007
A discontinuous Galerkin method for the Cahn-Hilliard equation.
J. Comput. Phys., 2006
On Discrete Modeling and Visualization of Granular Media.
Proceedings of the Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering, 2006
Computational Modelling of Micromorphic Continua - Theory, Numerics, and Visualisation Challenges.
Proceedings of the Visualization of Large and Unstructured Data Sets: Applications in Geospatial Planning, Modeling and Engineering, 2006