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Turbulence modeling has relied on approximations and empirical parameters for 150 years. ๐—ก๐—ผ๐˜ ๐—ฎ๐—ป๐˜†๐—บ๐—ผ๐—ฟ๐—ฒ. Every flow simulation, from aircraft to climate models, rests on turbulence models of uncertain accuracy. No wonder Richard Feynman called turbulence "the most important unsolved problem of classical physics." Founded by MIT's Dr. Justin Beroz, ReynKo has derived a closed-form framework for turbulent flow directly from the Navier-Stokes equations. No tunable parameters. No semi-empirical closures. It shows exact agreement with canonical DNS results and predicts Kolmogorov's -5/3 law and constant. Journal manuscripts are in preparation. Our framework also reveals how turbulence forms, opening the path to turbulence control. Delaying transition reduces drag, so aircraft burn less fuel; triggering it enhances heat transfer, cooling data centers with less energy. Two applications among thousands, in any industry where fluid moves or heat flows. Skeptical? Good. Ask us the hard questions: info@reynko.com

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