Kevin Linka

According to our database, Kevin Linka authored at least 9 papers between 2021 and 2024.

Collaborative distances:

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

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

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

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

Hagen Holthusen, Tim Brepols, Kevin Linka, Ellen Kuhl

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