Non-invasive Inference of Thrombus Material Properties with Physics-Informed Neural Networks
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We employ physics-informed neural networks (PINNs) to infer properties of biological materials using synthetic data. In particular, we successfully apply PINNs on inferring permeability and viscoelastic modulus from thrombus deformation data, which can be desc... ...
