Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations. (arXiv:2205.01222v1 [physics.flu-dyn])

Web: http://arxiv.org/abs/2205.01222

We investigate uncertainty estimation and multimodality via the
non-deterministic predictions of Bayesian neural networks (BNNs) in fluid
simulations. To this end, we deploy BNNs in three challenging experimental
test-cases of increasing complexity: We show that BNNs, when used as surrogate
models for steady-state fluid flow predictions, provide accurate physical
predictions together with sensible estimates of uncertainty. Further, we
experiment with perturbed temporal sequences from Navier-Stokes simulations and
evaluate the capabilities of BNNs to capture multimodal evolutions. While our
findings indicate …

arxiv bayesian networks neural neural networks physics predictions simulations stochastic