A thermodynamics-constrained graph neural network predicts liver deformation, velocity, and stress in milliseconds on unseen geometries, but its test evaluation is contaminated by model selection on the test set.
Digital twins in health care: Ethical implications of an emerging engineering paradigm
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Thermodynamics-informed graph neural networks for real-time simulation of digital human twins
A thermodynamics-constrained graph neural network predicts liver deformation, velocity, and stress in milliseconds on unseen geometries, but its test evaluation is contaminated by model selection on the test set.