Pages that link to "Item:Q995301"

The following pages link to Multiscale finite element methods for stochastic porous media flow equations and application to uncertainty quantification (Q995301):

Displaying 45 items.

• A nonparametric belief propagation method for uncertainty quantification with applications to flow in random porous media (Q340932) (← links)
• A domain decomposition method of stochastic PDEs: an iterative solution techniques using a two-level scalable preconditioner (Q348451) (← links)
• Multi-element least square HDMR methods and their applications for stochastic multiscale model reduction (Q350019) (← links)
• Multilevel approximate Bayesian approaches for flows in highly heterogeneous porous media and their applications (Q508047) (← links)
• A stochastic mixed finite element heterogeneous multiscale method for flow in porous media (Q550908) (← links)
• A multiscale preconditioner for stochastic mortar mixed finite elements (Q646355) (← links)
• Advances on the domain decomposition solution of large scale porous media problems (Q649442) (← links)
• The stochastic finite element method: past, present and future (Q658211) (← links)
• Stochastic mixed multiscale finite element methods and their applications in random porous media (Q658894) (← links)
• A stochastic Galerkin approach to uncertainty quantification in poroelastic media (Q669364) (← links)
• Analysis of stochastic mimetic finite difference methods and their applications in single-phase stochastic flows (Q695814) (← links)
• Extended multiscale finite element method for elasto-plastic analysis of 2D periodic lattice truss materials (Q964760) (← links)
• Bayesian and variational Bayesian approaches for flows in heterogeneous random media (Q1692018) (← links)
• A machine learning approach for efficient uncertainty quantification using multiscale methods (Q1700748) (← links)
• Uncertainty quantification of two-phase flow problems via measure theory and the generalized multiscale finite element method (Q1702359) (← links)
• Inverse modeling of tracer flow via a mass conservative generalized multiscale finite volume/element method and stochastic collocation (Q1715725) (← links)
• Heterogeneous domain decomposition method for high contrast dense composites (Q1747302) (← links)
• Preconditioning Markov chain Monte Carlo method for geomechanical subsidence using multiscale method and machine learning technique (Q2020498) (← links)
• A multigrid multilevel Monte Carlo method for Stokes-Darcy model with random hydraulic conductivity and Beavers-Joseph condition (Q2067300) (← links)
• Multiscale uncertainty quantification with arbitrary polynomial chaos (Q2179186) (← links)
• A conservative generalized multiscale finite volume/element method for modeling two-phase flow with capillary pressure (Q2195916) (← links)
• Causality and Bayesian network PDEs for multiscale representations of porous media (Q2222317) (← links)
• Stochastic multiscale flux basis for Stokes-Darcy flows (Q2222695) (← links)
• Data-driven acceleration of multiscale methods for uncertainty quantification: application in transient multiphase flow in porous media (Q2300559) (← links)
• A multiscale finite element method with embedded strong discontinuity model for the simulation of cohesive cracks in solids (Q2308680) (← links)
• An efficient stochastic framework to propagate the effect of the random solid-pore geometry of porous media on the pore-scale flow (Q2308893) (← links)
• Regularity analysis of metamaterial Maxwell's equations with random coefficients and initial conditions (Q2310929) (← links)
• Efficient stochastic Galerkin methods for Maxwell's equations with random inputs (Q2316216) (← links)
• Intrusive uncertainty quantification for hyperbolic-elliptic systems governing two-phase flow in heterogeneous porous media (Q2398880) (← links)
• Dynamic data-driven Bayesian GMsFEM (Q2423495) (← links)
• Model's sparse representation based on reduced mixed GMsFE basis methods (Q2424473) (← links)
• Reduced basis finite element heterogeneous multiscale method for high-order discretizations of elliptic homogenization problems (Q2446740) (← links)
• Dual-primal domain decomposition method for uncertainty quantification (Q2450413) (← links)
• A gradient-based deep neural network model for simulating multiphase flow in porous media (Q2671397) (← links)
• Uncertainties consideration in elastically heterogeneous fluid-saturated media using first-order second moment stochastic method and Green's function approach (Q2692127) (← links)
• A multiscale preconditioner for microscale deformation of fractured porous media (Q2699363) (← links)
• A space-time multiscale method for computing statistical moments in strongly heterogeneous poroelastic media of evolving scales (Q2895006) (← links)
• A Stochastic Mortar Mixed Finite Element Method for Flow in Porous Media with Multiple Rock Types (Q3103522) (← links)
• A multiscale method for semi-linear elliptic equations with localized uncertainties and non-linearities (Q4631391) (← links)
• Efficient stochastic FEM for flow in heterogeneous porous media. Part 1: random Gaussian conductivity coefficients (Q4964865) (← links)
• Multi-Modes Multiscale Approach of Heat Transfer Problems in Heterogeneous Solids with Uncertain Thermal Conductivity (Q5045684) (← links)
• Analysis and Application of Single Level, Multi-Level Monte Carlo and Quasi-Monte Carlo Finite Element Methods for Time-Dependent Maxwell's Equations with Random Inputs (Q5163181) (← links)
• An Adaptive Multiscale Finite Element Method (Q5251769) (← links)
• Reduced multiscale finite element basis methods for elliptic PDEs with parameterized inputs (Q5965343) (← links)
• A multiscale finite element method for the localization analysis of homogeneous and heterogeneous saturated porous media with embedded strong discontinuity model (Q6557460) (← links)