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Lagrangian large eddy simulations via physics-informed machine learning
Yifeng Tian
, Michael Woodward
,
Mikhail Stepanov
, Chris Fryer
, Criston Hyett
, Daniel Livescu
,
Michael Chertkov
Mathematics
Applied Mathematics - GIDP
Research output
:
Contribution to journal
›
Article
›
peer-review
11
Scopus citations
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Earth and Planetary Sciences
Navier-Stokes Equation
100%
Machine Learning
100%
Velocity Distribution
50%
Mach Number
50%
Isotropic Turbulence
50%
High Reynolds Number
50%
Physics
Physics
100%
Large Eddy Simulation
100%
Machine Learning
100%
Navier-Stokes Equation
25%
Mach Number
12%
Direct Numerical Simulation
12%
Neural Network
12%
Reynolds Number
12%
Isotropic Turbulence
12%
Material Science
Large Eddy Simulation
100%
Hydrodynamics
12%
Mach Number
12%
Keyphrases
Differentiable Programming
12%
Eulerian Velocity
12%
Simulation Heuristic
12%
Engineering
Eulerian Velocity Field
16%