Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems
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Publication:2136471
DOI10.1016/j.jcp.2021.110788OpenAlexW3211207797MaRDI QIDQ2136471
Publication date: 10 May 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2101.09985
computational fluid dynamicsGaussian process regressionBayesian optimizationturbulent boundary layersspoiler-ice model
Mathematical programming (90Cxx) Basic methods in fluid mechanics (76Mxx) Incompressible viscous fluids (76Dxx)
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Cites Work
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