Predicting drag on rough surfaces by transfer learning of empirical correlations
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DOI: 10.1017/jfm.2021.1041
Abstract: Abstract Recent developments in neural networks have shown the potential of estimating drag on irregular rough surfaces. Nevertheless, the difficulty of obtaining a large high-fidelity dataset to train neural networks is deterring their use in… read more here.
Keywords: empirical correlations; neural networks; learning empirical; rough surfaces ... See more keywords