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Intercomparison of 3D pore-scale flow and solute transport simulation methods

Advances in water resources, 2016-09, Vol.95, p.176-189

2016

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Pore scale modeling of immiscible and miscible fluid flows using smoothed particle hydrodynamics

Advances in water resources, 2006-10, Vol.29 (10), p.1464-1478

2006

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A smoothed particle hydrodynamics model for miscible flow in three-dimensional fractures and the two-dimensional Rayleigh–Taylor instability

Journal of computational physics, 2005-08, Vol.207 (2), p.610-624

2005

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Smoothed particle hydrodynamics continuous boundary force method for Navier–Stokes equations subject to a Robin boundary condition

Journal of computational physics, 2014-02, Vol.259, p.242-259

2014

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Modeling electrokinetic flows by consistent implicit incompressible smoothed particle hydrodynamics

Journal of computational physics, 2017-04, Vol.334, p.125-144

2017

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Physics-informed CoKriging: A Gaussian-process-regression-based multifidelity method for data-model convergence

Journal of computational physics, 2019-10, Vol.395, p.410-431

2019

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Learning viscoelasticity models from indirect data using deep neural networks

Computer methods in applied mechanics and engineering, 2021-12, Vol.387 (C), p.114124, Article 114124

2021

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Pairwise Force Smoothed Particle Hydrodynamics model for multiphase flow: Surface tension and contact line dynamics

Journal of computational physics, 2016-01, Vol.305, p.1119-1146

2016

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Physics-informed Karhunen-Loéve and neural network approximations for solving inverse differential equation problems

Journal of computational physics, 2022-08, Vol.462 (C), p.111230, Article 111230

2022

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A conservative level set method for N-phase flows with a free-energy-based surface tension model

Journal of computational physics, 2021-02, Vol.426 (C), p.109955, Article 109955

2021

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Conditional Karhunen-Loève expansion for uncertainty quantification and active learning in partial differential equation models

Journal of computational physics, 2020-10, Vol.418 (C), p.109604, Article 109604

2020

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Gaussian process regression and conditional polynomial chaos for parameter estimation

Journal of computational physics, 2020-09, Vol.416, p.109520, Article 109520

2020

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A hybrid micro-scale model for transport in connected macro-pores in porous media

Journal of contaminant hydrology, 2011-09, Vol.126 (1), p.61-71

2011

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Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks

Journal of computational physics, 2019-11, Vol.397, p.108844, Article 108844

2019

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Non-local model for surface tension in fluid-fluid simulations

Journal of computational physics, 2020-11, Vol.421, p.109732, Article 109732

2020

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Hybrid models of reactive transport in porous and fractured media

Advances in water resources, 2011-09, Vol.34 (9), p.1140-1150

2011

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A new smoothed particle hydrodynamics non-Newtonian model for friction stir welding: Process modeling and simulation of microstructure evolution in a magnesium alloy

International journal of plasticity, 2013-09, Vol.48, p.189-204

2013

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Modeling variability in porescale multiphase flow experiments

Advances in water resources, 2017-07, Vol.105 (C), p.29-38

2017

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Physics-informed Gaussian process regression for states estimation and forecasting in power grids

International journal of forecasting, 2023-04, Vol.39 (2), p.967-980

2023

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Simulations of reactive transport and precipitation with smoothed particle hydrodynamics

Journal of computational physics, 2007-03, Vol.222 (2), p.654-672

2007

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A novel method for modeling Neumann and Robin boundary conditions in smoothed particle hydrodynamics

Computer physics communications, 2010-12, Vol.181 (12), p.2008-2023

2010

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Pore-scale study of capillary trapping mechanism during CO2 injection in geological formations

International journal of greenhouse gas control, 2011-11, Vol.5 (6), p.1566-1577

2011

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Incomplete mixing and reactions with fractional dispersion

Advances in water resources, 2012-03, Vol.37, p.86-93

2012

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Pore-scale modeling of competitive adsorption in porous media

Journal of contaminant hydrology, 2011-03, Vol.120, p.56-78

2011

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Physics-informed machine learning method with space-time Karhunen-Loève expansions for forward and inverse partial differential equations

Journal of computational physics, 2024-02, Vol.499, p.112723, Article 112723

2024

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Intercomparison of 3D pore-scale flow and solute transport simulation methods

Pore scale modeling of immiscible and miscible fluid flows using smoothed particle hydrodynamics

A smoothed particle hydrodynamics model for miscible flow in three-dimensional fractures and the two-dimensional Rayleigh–Taylor instability

Smoothed particle hydrodynamics continuous boundary force method for Navier–Stokes equations subject to a Robin boundary condition

Modeling electrokinetic flows by consistent implicit incompressible smoothed particle hydrodynamics

Physics-informed CoKriging: A Gaussian-process-regression-based multifidelity method for data-model convergence

Learning viscoelasticity models from indirect data using deep neural networks

Pairwise Force Smoothed Particle Hydrodynamics model for multiphase flow: Surface tension and contact line dynamics

Physics-informed Karhunen-Loéve and neural network approximations for solving inverse differential equation problems

A conservative level set method for N-phase flows with a free-energy-based surface tension model

Conditional Karhunen-Loève expansion for uncertainty quantification and active learning in partial differential equation models

Gaussian process regression and conditional polynomial chaos for parameter estimation

A hybrid micro-scale model for transport in connected macro-pores in porous media

Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks

Non-local model for surface tension in fluid-fluid simulations

Hybrid models of reactive transport in porous and fractured media

A new smoothed particle hydrodynamics non-Newtonian model for friction stir welding: Process modeling and simulation of microstructure evolution in a magnesium alloy

Modeling variability in porescale multiphase flow experiments

Physics-informed Gaussian process regression for states estimation and forecasting in power grids

Simulations of reactive transport and precipitation with smoothed particle hydrodynamics

A novel method for modeling Neumann and Robin boundary conditions in smoothed particle hydrodynamics

Pore-scale study of capillary trapping mechanism during CO2 injection in geological formations

Incomplete mixing and reactions with fractional dispersion

Pore-scale modeling of competitive adsorption in porous media

Physics-informed machine learning method with space-time Karhunen-Loève expansions for forward and inverse partial differential equations

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