Physics-informed machine learning with smoothed particle hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence
Building efficient, accurate, and generalizable reduced-order models of developed
turbulence remains a major challenge. This manuscript approaches this problem by …
turbulence remains a major challenge. This manuscript approaches this problem by …
[HTML][HTML] Validation and parameterization of a novel physics-constrained neural dynamics model applied to turbulent fluid flow
In fluid physics, data-driven models to enhance or accelerate time to solution are becoming
increasingly popular for many application domains, such as alternatives to turbulence …
increasingly popular for many application domains, such as alternatives to turbulence …
Data-driven Mori-Zwanzig: Approaching a reduced order model for hypersonic boundary layer transition
View Video Presentation: https://doi. org/10.2514/6.2023-1624. vid In this work, we apply, for
the first time to spatially inhomogeneous flows, a recently developed data-driven learning …
the first time to spatially inhomogeneous flows, a recently developed data-driven learning …
Full trajectory optimizing operator inference for reduced-order modeling using differentiable programming
Accurate and inexpensive Reduced Order Models (ROMs) for forecasting turbulent flows
can facilitate rapid design iterations and thus prove critical for predictive control in …
can facilitate rapid design iterations and thus prove critical for predictive control in …
Galerkin Reduced Order Models for Compressible Flows with Differentiable Programming
View Video Presentation: https://doi. org/10.2514/6.2022-0373. vid Accurate and
computationally cheap forecasts using Reduced Order Models (ROMs) can facilitate active …
computationally cheap forecasts using Reduced Order Models (ROMs) can facilitate active …
Platooning for Improved Safety and Efficiency of Semi-Trucks (PISES–III)
In fluid physics, data-driven models to enhance or accelerate solution methods are
becoming increasingly popular for many application domains, such as alternatives to …
becoming increasingly popular for many application domains, such as alternatives to …