Cited by 3,405Fluid Dynamics and Turbulent FlowsParticle Dynamics in Fluid FlowsFluid Dynamics and Heat Transfer

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Particle-Imaging Techniques for Experimental Fluid Mechanics

Adrian, Ronald J.·1991·Annual Review of Fluid Mechanics

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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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Authors: Adrian, R. J.
Affiliations: University of Illinois Urbana-Champaign (US)
Corresponding author: Adrian, Ronald J.
ORCID: Adrian, Ronald J.
Venue: Annual Review of Fluid Mechanics
Publisher: Annual Reviews
Published: 1991-01
Volume: 23
Issue: 1
Pages: 261-304
ISSN: 0066-4189 (ISSN-L)
1545-4479
DOI: 10.1146/annurev.fl.23.010191.001401
OpenAlex: W2118944048
Cited by: 3,405
References: 0
Citations by year: 2026: 108 · 2025: 86 · 2024: 94 · 2023: 108 · 2022: 91 · 2021: 99 · 2020: 122 · 2019: 116 · 2018: 102 · 2017: 134 · 2016: 106 · 2015: 126 · 2014: 128 · 2013: 146 · 2012: 136
FWCI: 48.35
Type: journal article
Language: en
Open access: closed
Locations: Annual Review of Fluid Mechanics (publishedVersion)
Topics: Physical Sciences › Engineering › Computational Mechanics › Fluid Dynamics and Turbulent Flows
Physical Sciences › Chemical Engineering › Fluid Flow and Transfer Processes › Particle Dynamics in Fluid Flows
Physical Sciences › Engineering › Computational Mechanics › Fluid Dynamics and Heat Transfer
Keywords: particle imaging, particle image velocimetry, flow visualization, experimental fluid mechanics, machine learning, spatial and temporal scales

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Particle-Imaging Techniques for Experimental Fluid Mechanics

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