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M. Woodward

2 papers hereh-index 10251 citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn2
same name
  • M. Woodward — 1 paper, h 6
  • M. Woodward — 1 paper, h 3
  • M. Woodward — 1 paper, h 3
  • M. Woodward — 1 paper, h 0
  • M. Woodward — 1 paper, h 158

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedLagrangian Large Eddy Simulations via Physics Informed Machine Learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

physics.flu-dyn2022★ 2 cited

Lagrangian Large Eddy Simulations via Physics Informed Machine Learning

Yifeng Tian, Michael Woodward, Mikhail Stepanov +4

High Reynolds Homogeneous Isotropic Turbulence is fully described within the Navier-Stokes (NS) equations, which are notoriously difficult to solve numerically. Engineers, interest…

physics.flu-dyn2021

Physics informed machine learning with Smoothed Particle Hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence

Michael Woodward, Yifeng Tian, Criston Hyett +4

Building efficient, accurate and generalizable reduced order models of developed turbulence remains a major challenge. This manuscript approaches this problem by developing a hiera…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.