Pages that link to "Item:Q2857467"

The following pages link to Nonintrusive reduced-order modeling of parametrized time-dependent partial differential equations (Q2857467):

Displaying 50 items.

• A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs (Q831238) (← links)
• POD-Galerkin reduced-order modeling with adaptive finite element snapshots (Q1685104) (← links)
• A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting (Q1691739) (← links)
• POD/DEIM reduced-order modeling of time-fractional partial differential equations with applications in parameter identification (Q1703057) (← links)
• Decreasing the temporal complexity for nonlinear, implicit reduced-order models by forecasting (Q1737002) (← links)
• Projection-based model reduction: formulations for physics-based machine learning (Q1739759) (← links)
• Data-driven reduced order modeling for time-dependent problems (Q1986762) (← links)
• Error estimation of the parametric non-intrusive reduced order model using machine learning (Q1988235) (← links)
• A goal-oriented reduced-order modeling approach for nonlinear systems (Q2007257) (← links)
• A fully adaptive nonintrusive reduced-order modelling approach for parametrized time-dependent problems (Q2020779) (← links)
• Non-intrusive reduced-order modeling of parameterized electromagnetic scattering problems using cubic spline interpolation (Q2025869) (← links)
• Image segmentation method for an illumination highlight region of interior design effects based on the partial differential equation (Q2051962) (← links)
• Data-driven reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation (Q2059122) (← links)
• Goal-oriented model reduction for parametrized time-dependent nonlinear partial differential equations (Q2060100) (← links)
• Projection-based model reduction of dynamical systems using space-time subspace and machine learning (Q2072456) (← links)
• A non-intrusive model order reduction approach for parameterized time-domain Maxwell's equations (Q2083308) (← links)
• Lift \& learn: physics-informed machine learning for large-scale nonlinear dynamical systems (Q2115511) (← links)
• Non intrusive method for parametric model order reduction using a bi-calibrated interpolation on the Grassmann manifold (Q2126992) (← links)
• Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning (Q2127404) (← links)
• A greedy non-intrusive reduced order model for shallow water equations (Q2129263) (← links)
• Greedy non-intrusive reduced-order model's application in dynamic blowing and suction flow control to suppress the flow separation (Q2129510) (← links)
• Weakly-invasive Latin-PGD for solving time-dependent non-linear parametrized problems in solid mechanics (Q2156761) (← links)
• Model order reduction method based on (r)POD-ANNs for parameterized time-dependent partial differential equations (Q2158140) (← links)
• Retracted: Model order reduction method based on machine learning for parameterized time-dependent partial differential equations (Q2161825) (← links)
• Nonintrusive model order reduction for cross-diffusion systems (Q2170824) (← links)
• Data-driven reduced order model with temporal convolutional neural network (Q2175300) (← links)
• A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems (Q2180467) (← links)
• An artificial neural network framework for reduced order modeling of transient flows (Q2206568) (← links)
• Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem (Q2214654) (← links)
• A nonintrusive reduced order modelling approach using proper orthogonal decomposition and locally adaptive sparse grids (Q2222606) (← links)
• Non-intrusive framework of reduced-order modeling based on proper orthogonal decomposition and polynomial chaos expansion (Q2226314) (← links)
• On-the-fly reduced order modeling of passive and reactive species via time-dependent manifolds (Q2237281) (← links)
• A two-level parameterized model-order reduction approach for time-domain elastodynamics (Q2237718) (← links)
• Data-driven model order reduction for problems with parameter-dependent jump-discontinuities (Q2246398) (← links)
• A non-intrusive reduced basis EKI for time fractional diffusion inverse problems (Q2300550) (← links)
• A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications (Q2309058) (← links)
• Data-driven operator inference for nonintrusive projection-based model reduction (Q2309194) (← links)
• Reduced collocation method for time-dependent parametrized partial differential equations (Q2330394) (← links)
• Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a POD-Galerkin method and a vascular shape parametrization (Q2375208) (← links)
• Non-intrusive reduced order modelling of fluid-structure interactions (Q2417619) (← links)
• Reduced-order modeling of time-dependent PDEs with multiple parameters in the boundary data (Q2459294) (← links)
• Non-intrusive reduced order modelling of the Navier-Stokes equations (Q2632971) (← links)
• Non-intrusive reduced-order modeling for uncertainty quantification of space-time-dependent parameterized problems (Q2656003) (← links)
• A non-intrusive space-time interpolation from compact Stiefel manifolds of parametrized rigid-viscoplastic FEM problems (Q2667296) (← links)
• Galerkin reduced-order modeling scheme for time-dependent randomly parametrized linear partial differential equations (Q2952107) (← links)
• A Nonintrusive Parametrized Reduced-Order Model for Periodic Flows Based on Extended Proper Orthogonal Decomposition (Q3383774) (← links)
• An efficient reduced-order modeling approach for non-linear parametrized partial differential equations (Q3619763) (← links)
• Reduced-order modeling of parameterized PDEs using time-space-parameter principal component analysis (Q3649920) (← links)
• Space-time registration-based model reduction of parameterized one-dimensional hyperbolic PDEs (Q5006302) (← links)
• Reduced Operator Inference for Nonlinear Partial Differential Equations (Q5088794) (← links)