Kevin Linka

According to our database, Kevin Linka authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Comprehensive Framework for Predictive Computational Modeling of Growth and Remodeling in Tissue-Engineered Cardiovascular Implants.

Mahmoud Sesa, Hagen Holthusen, Christian Böhm, Stefan Jockenhövel, Stefanie Reese, Kevin Linka

CoRR, March, 2025

A generalized dual potential for inelastic Constitutive Artificial Neural Networks: A JAX implementation at finite strains.

Hagen Holthusen, Kevin Linka, Ellen Kuhl, Tim Brepols

CoRR, February, 2025

Automated model discovery for tensional homeostasis: Constitutive machine learning in growth and remodeling.

Hagen Holthusen, Tim Brepols, Kevin Linka, Ellen Kuhl

Comput. Biol. Medicine, 2025

Atrial Constitutive Neural Networks.

Mathias Peirlinck, Kevin Linka, Ellen Kuhl

Proceedings of the Functional Imaging and Modeling of the Heart, 2025

2024

Viscoelastic constitutive artificial neural networks (vCANNs) - A framework for data-driven anisotropic nonlinear finite viscoelasticity.

Kian P. Abdolazizi, Kevin Linka, Christian J. Cyron

J. Comput. Phys., February, 2024

Active partitioning: inverting the paradigm of active learning.

Marius Tacke, Matthias Busch, Kevin Linka, Christian J. Cyron, Roland C. Aydin

CoRR, 2024

A Spectral-based Physics-informed Finite Operator Learning for Prediction of Mechanical Behavior of Microstructures.

Ali Harandi, Hooman Danesh, Kevin Linka, Stefanie Reese, Shahed Rezaei

CoRR, 2024

2023

On sparse regression, Lp-regularization, and automated model discovery.

Jeremy A. McCulloch, Skyler R. St. Pierre, Kevin Linka, Ellen Kuhl

CoRR, 2023

Benchmarks for physics-informed data-driven hyperelasticity.

Vahidullah Tac, Kevin Linka, Francisco Sahli Costabal, Ellen Kuhl, Adrian Buganza Tepole

CoRR, 2023

2022

A new family of Constitutive Artificial Neural Networks towards automated model discovery.

Kevin Linka, Ellen Kuhl

CoRR, 2022

Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems.

Kevin Linka, Amelie Schäfer, Xuhui Meng, Zongren Zou, George Em Karniadakis, Ellen Kuhl

CoRR, 2022

2021

Neural network surgery: Combining training with topology optimization.

Elisabeth J. Schiessler, Roland C. Aydin, Kevin Linka, Christian J. Cyron

Neural Networks, 2021

Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning.

Kevin Linka, Markus Hillgärtner, Kian P. Abdolazizi, Roland C. Aydin, Mikhail Itskov, Christian J. Cyron

J. Comput. Phys., 2021