Special issue: advanced numerical modeling and algorithms for multiphase flow and transport
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Publication:2123319
DOI10.1016/j.jcp.2019.109222OpenAlexW2996778419WikidataQ126406260 ScholiaQ126406260MaRDI QIDQ2123319
Publication date: 8 April 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2019.109222
deep learningdiffuse/sharp interface approachesequilibrium and interfacial dynamicsmultiphase flow and transportnumerical modeling and algorithmuncertainty qualification
Related Items (1)
Cites Work
- A comparative study of interface-conforming ALE-FE scheme and diffuse interface AMR-LB scheme for interfacial dynamics
- A coupled volume-of-fluid and level set method based on general curvilinear grids with accurate surface tension calculation
- Darcy-scale phase equilibrium modeling with gravity and capillarity
- Regression-based sparse polynomial chaos for uncertainty quantification of subsurface flow models
- Finite volume WENO schemes for nonlinear parabolic problems with degenerate diffusion on non-uniform meshes
- An efficient numerical algorithm for solving viscosity contrast Cahn-Hilliard-Navier-Stokes system in porous media
- Reduced-order deep learning for flow dynamics. The interplay between deep learning and model reduction
- Stochastic multiscale flux basis for Stokes-Darcy flows
- Coupling staggered-grid and MPFA finite volume methods for free flow/porous-medium flow problems
- Three-way coupling of multiphase flow and poromechanics in porous media
- Generalized multiscale approximation of mixed finite elements with velocity elimination for subsurface flow
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