2 citations · 3 across the 6 of their papers we have counts for
6 papers
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…
System-Wide Emergency Policy for Transitioning from Main to Secondary Fuel
Laurent Pagnier, Criston Hyett, Robert Ferrando +4
Faced with the complexities of managing natural gas-dependent power system amid the surge of renewable integration and load unpredictability, this study explores strategies for nav…
Differentiable Simulator For Dynamic & Stochastic Optimal Gas & Power Flows
Criston Hyett, Laurent Pagnier, Jean Alisse +4
In many power systems, particularly those isolated from larger intercontinental grids, operational dependence on natural gas becomes pivotal, especially during fluctuations or unav…
Control of Line Pack in Natural Gas System: Balancing Limited Resources under Uncertainty
Criston Hyett, Laurent Pagnier, Jean Alisse +3
We build and experiment with a realistic but reduced natural gas model of Israel. The system is unusual because (a) it is controlled from a limited number of points which are at, o…
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…