articleAnnual Review of Fluid MechanicsJan 1, 2005Closed access

IMMERSED BOUNDARY METHODS

George Washington University · Stanford University

Indexed incrossref

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

Citation impact

3,392
total citations
FWCI
90.48
Percentile
100%
References
48
Citations per year

Authors

2

Topics & keywords

Keywords
  • Computer science
  • Field (mathematics)
  • Fluid mechanics
  • Scale (ratio)
  • Boundary (topology)
  • Statistical physics
  • Mechanics
  • Physics
UN Sustainable Development Goals
  • Quality Education
No related works found for this paper.

Funding