1975Annual Review of Fluid MechanicsRequires access

Mathematical Analysis of Navier-Stokes Equations for Incompressible Liquids

O. A. Ladyzhenskaya

Open publisher page 63 citations

Abstract

The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from experiments, field measurements, and large-scale simulations at multiple spatiotemporal scales. Machine learning (ML) offers a wealth of techniques to extract ...Read More

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The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from experiments, field measurements, and large-scale simulations at multiple spatiotemporal scales. Machine learning (ML) offers a wealth of techniques to extract ...Read More

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OpenAlex reports 63 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data from experiments, field measurements, and large-scale simulations at multiple spatiotemporal scales. Machine learning (ML) offers a wealth of techniques to extract ...Read More

Key concepts: Compressibility, Fluid mechanics, Field (mathematics), Computer science, Mechanics, Scale (ratio), Navier–Stokes equations, Statistical physics

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