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most citedEmbedded training of neural-network sub-grid-scale turbulence models

69 citations · 116 across the 9 of their papers we have counts for

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physics.flu-dyn2026

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows

Daniel Dehtyriov, Jonathan F. MacArt, Justin Sirignano

Turbulence is ubiquitous in engineering and science, yet direct simulation is prohibitively expensive. The Reynolds-averaged Navier-Stokes (RANS) equations provide savings exceedin…