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DEBOSH

Bayesian shape optimisation with GNN uncertainty

Paper title DEBOSH: Deep Bayesian Shape Optimization

Durasov et al. (EPFL and Neural Concept) · Aero & CFD

Paper arXiv 2109.13337PDF

Runs Bayesian optimisation with a GNN surrogate instead of a Gaussian process. A 'reentrant' GNN predicts the pressure field and the performance number (drag or lift-to-drag), feeds the pressures back in and iterates; how fast the estimate converges is used as its uncertainty, which picks the next shapes to simulate.

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