A stochastic multiscale framework for modeling flow through random heterogeneous porous media

DOI10.1016/j.jcp.2008.10.006zbMath1409.76139OpenAlexW2010844650MaRDI QIDQ1010336

Nicholas Zabaras, Baskar Ganapathysubramanian

Publication date: 3 April 2009

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2008.10.006

zbMATH Keywords

stochastic partial differential equationssparse gridscollocation methodsmixed finite elementsmanifold learningvariational multiscale methodsscalable algorithmsnon-linear model reductiondata-driven modeling

Mathematics Subject Classification ID

Flows in porous media; filtration; seepage (76S05) Stochastic analysis applied to problems in fluid mechanics (76M35) Numerical solutions to stochastic differential and integral equations (65C30)

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