Particle-Imaging Techniques for Experimental Fluid Mechanics

19913,184 citationsJournal Article

Authors

Ronald J. Adrian · University of Illinois Urbana-Champaign

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

Topics & Keywords

Particle Dynamics in Fluid Flows Computational Physics and Python Applications Lattice Boltzmann Simulation Studies

UN Sustainable Development Goals

Quality Education

Publication Details

Published in: Annual Review of Fluid Mechanics

Volume 23, Issue 1, pp. 261-304

DOI: 10.1146/annurev.fl.23.010191.001401

Field-Weighted Citation Impact: 103.44