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20112024
most citedAlgebraic Multigrid Preconditioners for Multiphase Flow in Porous Media

25 citations · 43 across the 7 of their papers we have counts for

collaborators

7 papers

stat.CO2024

Posterior exploration for computationally intensive forward models

Mikkel B. Lykkegaard, Colin Fox, Dave Higdon +2

In this chapter, we address the challenge of exploring the posterior distributions of Bayesian inverse problems with computationally intensive forward models. We consider various m…

cs.MS2017★ 5 cited

xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit

Roscoe Bartlett, Irina Demeshko, Todd Gamblin +12

Extreme-scale computational science increasingly demands multiscale and multiphysics formulations. Combining software developed by independent groups is imperative: no single team…

math.NA2016★ 25 cited

Algebraic Multigrid Preconditioners for Multiphase Flow in Porous Media

Quan M. Bui, Howard C. Elman, J. D. Moulton

Multiphase flow is a critical process in a wide range of applications, including carbon sequestration, contaminant remediation, and groundwater management. Typically, this process…

physics.plasm-ph2013★ 8 cited

On the velocity space discretization for the Vlasov-Poisson system: comparison between Hermite spectral and Particle-in-Cell methods. Part 2: fully-implicit scheme

E. Camporeale, G. L. Delzanno, B. K. Bergen +1

We describe a spectral method for the numerical solution of the Vlasov-Poisson system where the velocity space is decomposed by means of an Hermite basis, and the configuration spa…

physics.plasm-ph2013

On the velocity space discretization for the Vlasov-Poisson system: comparison between Hermite spectral and Particle-in-Cell methods. Part 1: semi-implicit scheme

Enrico Camporeale, Gian Luca Delzanno, Benjamin K. Bergen +1

We discuss a spectral method for the numerical solution of the Vlasov-Poisson system where the velocity space is decomposed by means of an Hermite basis. We describe a semi-implici…

math.NA2012

A hybrid HDMR for mixed multiscale finite element method with application for flows in random porous media

Lijian Jiang, J. David Moulton, Jia Wei

Stochastic modeling has become a popular approach to quantify uncertainty in flows through heterogeneous porous media. The uncertainty in heterogeneous structure properties is ofte…

math.NA2011★ 5 cited

Expanded mixed multiscale finite element methods and their applications for flows in porous media

Lijian Jiang, Dylan Copeland, J. David Moulton

We develop a family of expanded mixed Multiscale Finite Element Methods (MsFEMs) and their hybridizations for second-order elliptic equations. This formulation expands the standard…