Examples related to CFD

01POD: apply the POD to the lid-driven cavity test case.

02thermalBlock: solve a parametrized POD-Galerkin ROM for a steady heat transfer case.

03steadyNS: solve a POD-Galerkin ROM for a steady backstep flow with parametrized viscosity, using the supremizer approach.

04unsteadyNS: solve a POD-Galerkin ROM either with the supremizer or with the PPE approach, for the unsteady flow past a cylinder.

05PODI: apply POD to the backstep test case.

06POD_RBF: apply POD with RBF interpolation to the pitzdaily test case, with parametrized inlet velocity magnitude and orientation.

07NonIsothermalMixingElbow: apply POD with RBF interpolation to the pitzdaily test case, with parametrized inlet velocity magnitude and orientation.

08DEIM: reconstruction of a parametric Gaussian function using the Discrete Empirical Interpolation Method (DEIM).

09DEIM_ROM: solves a parameterized heat-transfer problem and builds a reduced-order model using POD + DEIM.

10unsteadyBB_enclosed: reduced order model for unsteady flow with prescribed heat flux in an enclosed domain.

11UnsteadyBBOpen: unsteady buoyancy-driven flow in an open domain using POD reduction.

12simpleSteadyNS: POD-Galerkin ROM for steady turbulent Navier-Stokes using the SIMPLE algorithm.

14DMDexample: Dynamic Mode Decomposition applied to a transient flow problem.

15MSR_cavity: reduced order model for molten salt reactor cavity with parametrized diffusivity.

16MSR_FOMSA: sensitivity analysis of molten salt reactor cavity parameters.

17YJunction: unsteady Navier-Stokes problem with time-dependent and parametrized boundary conditions in a Y-junction geometry.

18simpleTurbNS: a steady-state backstep model with ROMs in turbulent regime.

19UnsteadyNSExplicit: explicit time integration for POD-Galerkin ROM of lid-driven cavity.

20incrementalPOD: incremental POD algorithm for adaptive basis enrichment.

21unsteadyNSTurb_RBF: solving a reduced unsteady system with RBF interpolation for eddy viscosity coefficients, in the flow past a cylinder test case.

22datadriven_corrections: data-driven pressure POD corrections for improved ROM accuracy on the flow past a cylinder case.

23burgers: solving a Burgers problem in a backstep domain, and apply POD.

24HyperReduction: POD with hyper-reduction techniques (DEIM, gappy POD).

25Moving_Cylinder: reduced order model for flow around a moving cylinder.

26MovingAirfoil: POD-based ROM for flow around a moving airfoil.

27SmagorinskyHyperreduction: Smagorinsky model with hyper-reduction for LES ROM.

Examples related to machine learning (NN folder)

01simpleTurbGeomClosed: neural network closure for steady turbulent flow in a closed geometry.

BumpCompressibleSteadyNS: neural network reduced model for compressible flow over a bump.

CompressibleSteadyNS: neural network reduced model for compressible steady Navier-Stokes.

Examples related to UQ

01enKF: ensemble Kalman filter applied to a linear dynamical system.

02enKF_1DinverseHeatTransfer: state reconstruction in 1D heat transfer using ensemble Kalman filter.

Examples related to Inverse Heat Transfer

IHTP01inverseLaplacian: inverse heat transfer problem using regularization (CG) and RBF parametrization methods.