Ellen Kuhl

1. On sparse regression, Lp-regularization, and automated model discovery
   2023/10/09 by Jeremy A. McCulloch, Skyler R. St. Pierre, McCulloch, Jeremy A. +5 · 8 citations
   Computer Science · Materials Science · #65 #74 #Computational Drug Discovery Methods #FOS: Computer and information sciences #I.6 #J.2 #Machine Learning (cs.LG) #Machine Learning in Materials Science
2. Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression
   2023/07/16 by Zhen Zhang, Zongren Zou, Zhang, Zhen +5 · 4 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Bioinformatics and Genomic Networks #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #Topological and Geometric Data Analysis
3. Best-in-class modeling: A novel strategy to discover constitutive models for soft matter systems
   2024/04/10 by Kevin Linka, Ellen Kuhl, Linka, Kevin +1 · 3 citations
   Materials Science · #68T07 #74-05 #74B20 #FOS: Physical sciences #J.2 #Machine Learning in Materials Science #Soft Condensed Matter (cond-mat.soft)
4. Stress concentrations in fractured compact bone simulated with a special class of anisotropic gradient elasticity
   2009/12/12 by Inna M. Gitman, Harm Askes, Ellen Kuhl +1 · 5 citations
   Materials Science · Engineering · #Nonlocal and gradient elasticity in micro/nano structures #Composite Material Mechanics #Numerical methods in engineering
5. Ultra-fast physics-based modeling of the elephant trunk
   2025/03/08 by Bartosz Kaczmarski, Derek E. Moulton, Zéphyr Goriely +2 · 1 voice · 1 citation
   Engineering · #Soft Robotics and Applications #Robotic Locomotion and Control #Robot Manipulation and Learning
6. Uncertainty quantification in mechanics: A unified Bayesian perspective
   2026/07/21 by Sascha Ranftl, Malte Rolf, Gerhard A. Holzapfel +1
   #physics.comp-ph #physics.data-an #stat.ME #stat.ML
7. Neural operators solve inverse problems for constitutive model discovery
   2026/07/16 by Moritz Flaschel, Burigede Liu, Ellen Kuhl
   #cs.CE #cond-mat.mtrl-sci