2 citations · 3 across the 6 of their papers we have counts for
3 papers · 1 filter
Lagrangian Attention Tensor Networks for Velocity Gradient Statistical Modeling
Criston Hyett, Yifeng Tian, Michael Woodward +4
Direct numerical simulation of turbulence at realistic Reynolds numbers is still beyond current computational capability, necessitating models that reduce the number of resolved sp…
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 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…