Kevin Linka

The paper measures the mechanical and sensory properties of plant-based and animal meats using multi-dimensional tests and neural networks, finding that some plant-based products closely mimic animal meats in texture.

This paper introduces Bayesian constitutive neural networks to model soft matter systems, showing they can discover interpretable models, quantify uncertainties, and distinguish between healthy and diseased arteries.

This paper automates material model selection in finite element simulations using constitutive neural networks, improving robustness and accessibility of biomedical simulations.

This paper automates cardiac tissue model discovery by training a neural network to identify the best model and parameters for human cardiac tissue.