Karl A. Kalina

Orcid: 0000-0001-6170-4069

According to our database1, Karl A. Kalina authored at least 10 papers between 2022 and 2025.

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

Timeline

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Links

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Bibliography

2025
A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks.
CoRR, April, 2025

Fast descriptor-based 2D and 3D microstructure reconstruction using the Portilla-Simoncelli algorithm.
Eng. Comput., February, 2025

2024
Fast Reconstruction of Microstructures with Ellipsoidal Inclusions Using Analytical Descriptors.
Comput. Aided Des., January, 2024

Inverse design of anisotropic microstructures using physics-augmented neural networks.
CoRR, 2024

Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions.
CoRR, 2024

Viscoelasticty with physics-augmented neural networks: Model formulation and training methods without prescribed internal variables.
CoRR, 2024

2023
Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria.
CoRR, 2023

A comparative study on different neural network architectures to model inelasticity.
CoRR, 2023

Neural networks meet hyperelasticity: A guide to enforcing physics.
CoRR, 2023

2022
FE<sup>ANN</sup> - An efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining.
CoRR, 2022


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