1992•Annual Review of Fluid MechanicsRequires access

Measuring the Flow Properties of Yield Stress Fluids

Q. Dzuy Nguyen, David V. Boger

Open publisher page 636 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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What this paper is about

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 636 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: Flow (mathematics), Field (mathematics), Scale (ratio), Fluid mechanics, Computer science, Mechanics, Fluid dynamics, Yield (engineering)

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