Pages that link to "Item:Q4983103"
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The following pages link to Model Order Reduction in Fluid Dynamics: Challenges and Perspectives (Q4983103):
Displaying 29 items.
- Reduced basis model order reduction for Navier–Stokes equations in domains with walls of varying curvature (Q5031597) (← links)
- A POD Reduced Order Method Applied to an Instability Problem of Rayleigh–Bénard Convection (Q5094764) (← links)
- A Novel Iterative Penalty Method to Enforce Boundary Conditions in Finite Volume POD-Galerkin Reduced Order Models for Fluid Dynamics Problems (Q5163915) (← links)
- Accurate Solution of Bayesian Inverse Uncertainty Quantification Problems Combining Reduced Basis Methods and Reduction Error Models (Q5741184) (← links)
- Hierarchical Model Reduction Techniques for Flow Modeling in a Parametrized Setting (Q5857922) (← links)
- MicroROM: An efficient and accurate reduced order method to solve many-query problems in micro-motility (Q5867503) (← links)
- Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression (Q6048987) (← links)
- Sliding mode estimation and closed‐loop active flow control under actuator uncertainty (Q6054886) (← links)
- Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution (Q6068233) (← links)
- Space‐local reduced‐order bases for accelerating reduced‐order models through sparsity (Q6071407) (← links)
- Reduced order modeling of parametrized pulsatile blood flows: hematocrit percentage and heart rate (Q6085392) (← links)
- CD-ROM: complemented deep -- reduced order model (Q6094649) (← links)
- On the impact of dimensionally-consistent and physics-based inner products for POD-Galerkin and least-squares model reduction of compressible flows (Q6095138) (← links)
- Comparison of reduced basis construction methods for model order reduction, with application to non-linear low frequency electromagnetics (Q6108210) (← links)
- An Adaptive Non-Intrusive Multi-Fidelity Reduced Basis Method for Parameterized Partial Differential Equations (Q6110109) (← links)
- Forward sensitivity analysis and mode dependent control for closure modeling of Galerkin systems (Q6135189) (← links)
- An optimisation-based domain-decomposition reduced order model for the incompressible Navier-Stokes equations (Q6143644) (← links)
- An incremental singular value decomposition approach for large-scale spatially parallel \& distributed but temporally serial data -- applied to technical flows (Q6151883) (← links)
- Data-driven structure-preserving model reduction for stochastic Hamiltonian systems (Q6152181) (← links)
- Space-Time Reduced Basis Methods for Parametrized Unsteady Stokes Equations (Q6194969) (← links)
- Energy-conserving hyper-reduction and temporal localization for reduced order models of the incompressible Navier-Stokes equations (Q6196594) (← links)
- A local ROM for Rayleigh-Bénard bifurcation problems (Q6497192) (← links)
- Adaptive reduced order modeling for nonlinear dynamical systems through a new a posteriori error estimator: application to uncertainty quantification (Q6553492) (← links)
- Train small, model big: scalable physics simulators via reduced order modeling and domain decomposition (Q6557808) (← links)
- Reduced order modeling of random linear dynamical systems based on a new a posteriori error bound (Q6569301) (← links)
- Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: a study using POD-Galerkin and dynamical low-rank approximation (Q6601292) (← links)
- Reduced order modeling for a Schur complement method for fluid-structure interaction (Q6614987) (← links)
- A short note on solving partial differential equations using convolutional neural networks (Q6620254) (← links)
- A registration method for reduced basis problems using linear optimal transport (Q6623722) (← links)
