Search Results for author: Criston Hyett

Found 1 papers, 1 papers with code

Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence

1 code implementation25 Oct 2021 Michael Woodward, Yifeng Tian, Criston Hyett, Chris Fryer, Daniel Livescu, Mikhail Stepanov, Michael Chertkov

Smoothed particle hydrodynamics (SPH) is a mesh-free Lagrangian method for obtaining approximate numerical solutions of the equations of fluid dynamics; which has been widely applied to weakly- and strongly compressible turbulence in astrophysics and engineering applications.

Physics-informed machine learning

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