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20152020
most citedA Physics Informed Machine Learning Approach for Reconstructing Reynolds Stress Modeling Discrepancies Based on DNS Data

632 citations · 2.8k across the 17 of their papers we have counts for

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Showing 2015 · physics.comp-phShow all

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physics.comp-ph2015★ 316 cited

Quantifying and Reducing Model-Form Uncertainties in Reynolds-Averaged Navier-Stokes Simulations: A Data-Driven, Physics-Based Bayesian Approach

H. Xiao, J. -L. Wu, J. -X. Wang +2

Despite their well-known limitations, Reynolds-Averaged Navier-Stokes (RANS) models are still the workhorse tools for turbulent flow simulations in today's engineering application.…