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Multiscale preconditioning of Stokes flow in complex porous geometries
Yashar Mehmani
, Kangan Li
Leone Family Department of Energy and Mineral Engineering (EME)
Institute of Energy and the Environment (IEE)
Research output
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Contribution to journal
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Article
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peer-review
2
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Scopus citations
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Dive into the research topics of 'Multiscale preconditioning of Stokes flow in complex porous geometries'. Together they form a unique fingerprint.
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Keyphrases
Stokes Flow
100%
Pore Level
100%
Pore Network Model
100%
Multiscale Method
100%
2D to 3D
14%
Rapid Convergence
14%
Design Optimization
14%
Prediction Error
14%
Non-intrusive
14%
Fuel Cell Applications
14%
3D Geometry
14%
Conservative Approach
14%
Ill-conditioned Problem
14%
Direct numerical Simulation
14%
Parallel Machines
14%
Block Model
14%
CO2 Storage
14%
Void Space
14%
Porous Microstructure
14%
Algebraic multigrid Method
14%
Practical Setting
14%
Fluid Flow in Porous Media
14%
Iterative Solvers
14%
Fluid Dynamics Simulation
14%
Approximate Solver
14%
Stokes Equations
14%
Block Preconditioners
14%
Porous Samples
14%
Algebraization
14%
Multiscale Block
14%
Reduced Order Methods
14%
Engineering
Multiscale
100%
Porosity
100%
Network Model
87%
Subsurface
12%
Microscale
12%
Fluid Flow
12%
Prediction Error
12%
Multigrid
12%
Fuel Cell Applications
12%
Reformulation
12%
Saddle Point
12%
Fluid Dynamics
12%
CO2 Storage
12%
Stokes Equation
12%
Discretization
12%
Computer Simulation
12%
Direct Numerical Simulation
12%
Porous Sample
12%
Point System
12%
Mathematics
Network Model
100%
Stoke Flow
100%
Approximates
14%
Discretization
14%
Prediction Error
14%
Model Block
14%
Saddle Point
14%
Multigrid Method
14%
Subsurface
14%
Fuel Cell
14%
Stokes Equation
14%
Computer Simulation
14%
Chemical Engineering
Fluid Flow
100%
Carbon Dioxide
100%