20 citations · 46 across the 6 of their papers we have counts for
6 papers
Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS
Stephan Gärttner, Faruk O. Alpak, Andreas Meier +2
In recent years, convolutional neural networks (CNNs) have experienced an increasing interest in their ability to perform a fast approximation of effective hydrodynamic parameters…
An interior penalty discontinuous Galerkin approach for 3D incompressible Navier--Stokes equation for permeability estimation of porous media
Chen Liu, Florian Frank, Faruk O. Alpak +1
Permeability estimation of porous media from direct solving Navier--Stokes equation has a wide spectrum of applications in petroleum industry. In this paper, we utilize a pressure-…
An energy-based equilibrium contact angle boundary condition on jagged surfaces for phase-field methods
Florian Frank, Chen Liu, Alessio Scanziani +2
We consider an energy-based boundary condition to impose an equilibrium wetting angle for the Cahn-Hilliard-Navier-Stokes phase-field model on voxel-set-type computational domains.…
A finite volume/discontinuous Galerkin method for the advective Cahn-Hilliard equation with degenerate mobility on porous domains stemming from micro-CT imaging
Florian Frank, Chen Liu, Faruk O. Alpak +1
A numerical method is formulated for the solution of the advective Cahn-Hilliard (CH) equation with constant and degenerate mobility in three-dimensional porous media with non-vani…
Stabilized density gradient theory algorithm for modeling interfacial properties of pure and mixed systems
Xiaoqun Mu, Florian Frank, Faruk O. Alpak +1
Density gradient theory (DGT) allows fast and accurate determination of surface tension and density profile through a phase interface. Several algorithms have been developed to app…
A survey of sparse matrix-vector multiplication performance on large matrices
Max Grossman, Christopher Thiele, Mauricio Araya-Polo +3
We contribute a third-party survey of sparse matrix-vector (SpMV) product performance on industrial-strength, large matrices using: (1) The SpMV implementations in Intel MKL, the T…