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ORCIDEllen Kuhl
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2020 – today
- 2024
[i13]Jixin Hou, Xianyan Chen, Taotao Wu, Ellen Kuhl, Xianqiao Wang:
Automated Data-Driven Discovery of Material Models Based on Symbolic Regression: A Case Study on Human Brain Cortex. CoRR abs/2402.05238 (2024)- [i12]Bartosz Kaczmarski, Derek E. Moulton
, Alain Goriely, Ellen Kuhl:
Minimal activation with maximal reach: Reachability clouds of bio-inspired slender manipulators. CoRR abs/2403.18841 (2024) - [i11]Mathias Peirlinck, Juan A. Hurtado, Manuel K. Rausch, Adrian Buganza Tepole, Ellen Kuhl:
A universal material model subroutine for soft matter systems. CoRR abs/2404.13144 (2024) - [i10]Hagen Holthusen, Tim Brepols, Kevin Linka, Ellen Kuhl:
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling. CoRR abs/2410.13645 (2024) - 2023
- [j6]Bartosz Kaczmarski, Alain Goriely, Ellen Kuhl, Derek E. Moulton:
A Simulation Tool for Physics-Informed Control of Biomimetic Soft Robotic Arms. IEEE Robotics Autom. Lett. 8(2): 936-943 (2023) - [c8]Fikunwa O. Kolawole, Vicky Y. Wang, Bianca Freytag, Michael Loecher, Tyler E. Cork, Martyn P. Nash, Ellen Kuhl, Daniel B. Ennis:
Evaluating Passive Myocardial Stiffness Using in vivo cine, cDTI, and Tagged MRI. FIMH 2023: 527-536 - [i9]Vahidullah Tac, Kevin Linka, Francisco Sahli Costabal, Ellen Kuhl, Adrian Buganza Tepole:
Benchmarks for physics-informed data-driven hyperelasticity. CoRR abs/2301.10714 (2023) - [i8]Zhen Zhang, Zongren Zou, Ellen Kuhl, George Em Karniadakis:
Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression. CoRR abs/2307.08107 (2023) - [i7]Jeremy A. McCulloch, Skyler R. St. Pierre, Kevin Linka, Ellen Kuhl:
On sparse regression, Lp-regularization, and automated model discovery. CoRR abs/2310.06872 (2023) - [i6]Hagen Holthusen, Lukas Lamm, Tim Brepols, Stefanie Reese, Ellen Kuhl:
Theory and implementation of inelastic Constitutive Artificial Neural Networks. CoRR abs/2311.06380 (2023) - 2022
- [j5]Amelie Schäfer, Pavanjit Chaggar, Alain Goriely, Ellen Kuhl:
Correlating tau pathology to brain atrophy using a physics-based Bayesian model. Eng. Comput. 38(5): 3867-3877 (2022) - [i5]Kevin Linka, Amelie Schäfer, Xuhui Meng, Zongren Zou, George Em Karniadakis, Ellen Kuhl:
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems. CoRR abs/2205.08304 (2022) - [i4]Kevin Linka, Ellen Kuhl:
A new family of Constitutive Artificial Neural Networks towards automated model discovery. CoRR abs/2210.02202 (2022) - [i3]Jinshuai Bai, Laith Alzubaidi, Qingxia Wang, Ellen Kuhl, Mohammed Bennamoun, Yuantong Gu:
Physics-guided deep learning for data scarcity. CoRR abs/2211.15664 (2022) - 2021
- [c7]Fikunwa O. Kolawole, Mathias Peirlinck, Tyler E. Cork, Vicky Y. Wang, Seraina Anne Dual, Marc E. Levenston, Ellen Kuhl, Daniel B. Ennis:
A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Heart Phantoms. FIMH 2021: 305-314 - 2020
- [j4]Travis B. Thompson, Pavanjit Chaggar, Ellen Kuhl, Alain Goriely, Alzheimer's Disease Neuroimaging Initiative:
Protein-protein interactions in neurodegenerative diseases: A conspiracy theory. PLoS Comput. Biol. 16(10) (2020)
2010 – 2019
- 2019
- [j3]Mark S. Alber, Adrian Buganza Tepole, William R. Cannon, Suvranu De, Salvador Dura-Bernal, Krishna C. Garikipati, George E. Karniadakis, William W. Lytton, Paris Perdikaris, Linda R. Petzold, Ellen Kuhl:
Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digit. Medicine 2 (2019) - [i2]Francisco Sahli Costabal, Paris Perdikaris, Ellen Kuhl, Daniel E. Hurtado:
Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models. CoRR abs/1905.03406 (2019) - 2015
- [i1]Jonathan Wong, Ellen Kuhl, Eric Darve:
A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems. CoRR abs/1501.00324 (2015) - 2014
- [c6]Yan Zhuge, Bhagat Patlolla, Charu Ramakrishnan, Ramin E. Beygui, Christopher K. Zarins, Karl Deisseroth, Ellen Kuhl, Oscar J. Abilez:
Human pluripotent stem cell tools for cardiac optogenetics. EMBC 2014: 6171-6174 - [c5]Annette I. Bohmer, Alexander M. Zollner, Ellen Kuhl, Udo Lindemann:
Towards an instrumented tissue expander. IEEM 2014: 330-334 - 2010
- [c4]Christos E. Constantinou, Linda McLean, Ellen Kuhl, Bertha Chen:
Imaging-Based Computation of the Dynamics of Pelvic Floor Deformation and Strain Visualization Analysis. ISVC (3) 2010: 604-612
2000 – 2009
- 2008
- [j2]Holger A. Meier, Michael Schlemmer, Christian Wagner, Andreas Kerren, Hans Hagen, Ellen Kuhl, Paul Steinmann:
Visualization of Particle Interactions in Granular Media. IEEE Trans. Vis. Comput. Graph. 14(5): 1110-1125 (2008) - 2007
- [c3]Holger A. Meier, Paul Steinmann, Ellen Kuhl:
Towards Completeness, a Multiscale Approach of Confined Particulate Systems. Visualization of Large and Unstructured Data Sets 2007: 103-114 - 2006
- [j1]Garth N. Wells, Ellen Kuhl, Krishna C. Garikipati:
A discontinuous Galerkin method for the Cahn-Hilliard equation. J. Comput. Phys. 218(2): 860-877 (2006) - [c2]C. Britta Hirschberger, Ellen Kuhl, Paul Steinmann:
Computational Modelling of Micromorphic Continua - Theory, Numerics, and Visualisation Challenges. VLUDS 2006: 155-164 - [c1]Holger A. Meier, Ellen Kuhl, Paul Steinmann:
On Discrete Modeling and Visualization of Granular Media. VLUDS 2006: 165-176
Coauthor Index
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last updated on 2024-11-26 20:43 CET by the dblp team
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