Pages that link to "Item:Q4568096"
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The following pages link to Data-Driven Filtered Reduced Order Modeling of Fluid Flows (Q4568096):
Displaying 9 items.
- Operator inference with roll outs for learning reduced models from scarce and low-quality data (Q6135185) (← links)
- Energy-conserving hyper-reduction and temporal localization for reduced order models of the incompressible Navier-Stokes equations (Q6196594) (← links)
- Projection-based reduced order modeling and data-driven artificial viscosity closures for incompressible fluid flows (Q6497167) (← links)
- A finite element reduced-order model based on adaptive mesh refinement and artificial neural networks (Q6497675) (← links)
- Non-intrusive reduced order modeling: geometrical framework, high-order models, and a priori analysis of applicability (Q6553961) (← links)
- Shock trace prediction by reduced models for a viscous stochastic Burgers equation (Q6561716) (← links)
- Conditional Gaussian nonlinear system: a fast preconditioner and a cheap surrogate model for complex nonlinear systems (Q6563632) (← links)
- CGNSDE: conditional Gaussian neural stochastic differential equation for modeling complex systems and data assimilation (Q6592766) (← links)
- An efficient and accurate penalty-projection eddy viscosity algorithm for stochastic magnetohydrodynamic flow problems (Q6608073) (← links)
