Ellen Kuhl

Orcid: 0000-0002-6283-935X

According to our database1, Ellen Kuhl authored at least 27 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling.
CoRR, 2024

A universal material model subroutine for soft matter systems.
CoRR, 2024

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

2023
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

2022
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

2021
A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Heart Phantoms.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

2020
Protein-protein interactions in neurodegenerative diseases: A conspiracy theory.
PLoS Comput. Biol., 2020

2019
Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.
npj Digit. Medicine, 2019

Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models.
CoRR, 2019

2015
A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems.
CoRR, 2015

2014
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

2010
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

2008
Visualization of Particle Interactions in Granular Media.
IEEE Trans. Vis. Comput. Graph., 2008

2007
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

2006
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


  Loading...