Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Xiu, Dongbin
and
Tartakovsky, Daniel M.
2004.
A Two-Scale Nonperturbative Approach to Uncertainty Analysis of Diffusion in Random Composites.
Multiscale Modeling & Simulation,
Vol. 2,
Issue. 4,
p.
662.
Xiu, D.
and
Tartakovsky, D.M.
2004.
Computational Methods in Water Resources: Volume 1.
Vol. 55,
Issue. ,
p.
695.
Tartakovsky, Alexandre M.
Garcia‐Naranjo, Luis
and
Tartakovsky, Daniel M.
2004.
Transient Flow in a Heterogeneous Vadose Zone with Uncertain Parameters.
Vadose Zone Journal,
Vol. 3,
Issue. 1,
p.
154.
Severino, Gerardo
and
Santini, Alessandro
2005.
On the effective hydraulic conductivity in mean vertical unsaturated steady flows.
Advances in Water Resources,
Vol. 28,
Issue. 9,
p.
964.
Bakr, Mahmoud I.
and
Butler, Adrian P.
2005.
Nonstationary stochastic analysis in well capture zone design using first‐order Taylor's series approximation.
Water Resources Research,
Vol. 41,
Issue. 1,
Vereecken, H.
Kasteel, R.
Vanderborght, J.
and
Harter, T.
2007.
Upscaling Hydraulic Properties and Soil Water Flow Processes in Heterogeneous Soils: A Review.
Vadose Zone Journal,
Vol. 6,
Issue. 1,
p.
1.
Manouzi, Hassan
Seaı¨d, Mohammed
and
Zahri, Mostafa
2007.
Wick-stochastic finite element solution of reaction–diffusion problems.
Journal of Computational and Applied Mathematics,
Vol. 203,
Issue. 2,
p.
516.
Tartakovsky, Alexandre M.
Bolster, Diogo
and
Tartakovsky, Daniel M.
2008.
Hydrogeophysical Approach for Identification of Layered Structures of the Vadose Zone from Electrical Resistivity Data.
Vadose Zone Journal,
Vol. 7,
Issue. 4,
p.
1253.
Ma, Xiang
and
Zabaras, Nicholas
2008.
A stabilized stochastic finite element second-order projection method for modeling natural convection in random porous media.
Journal of Computational Physics,
Vol. 227,
Issue. 18,
p.
8448.
Wang, Peng
Quinlan, Peter
and
Tartakovsky, Daniel M.
2009.
Effects of spatio‐temporal variability of precipitation on contaminant migration in the vadose zone.
Geophysical Research Letters,
Vol. 36,
Issue. 12,
Tartakovsky, Daniel M.
Dentz, Marco
and
Lichtner, Peter C.
2009.
Probability density functions for advective‐reactive transport with uncertain reaction rates.
Water Resources Research,
Vol. 45,
Issue. 7,
de Jong van Lier, Quirijn
Dourado Neto, D.
and
Metselaar, Klaas
2009.
Modeling of transpiration reduction in van Genuchten–Mualem type soils.
Water Resources Research,
Vol. 45,
Issue. 2,
Mohan, P. Surya
Nair, Prasanth B.
and
Keane, Andy J.
2009.
Inexact Picard iterative scheme for steady-state nonlinear diffusion in random heterogeneous media.
Physical Review E,
Vol. 79,
Issue. 4,
Broyda, S.
Dentz, M.
and
Tartakovsky, D. M.
2010.
Probability density functions for advective–reactive transport in radial flow.
Stochastic Environmental Research and Risk Assessment,
Vol. 24,
Issue. 7,
p.
985.
Di Federico, Vittorio
Pinelli, Marco
and
Ugarelli, Rita
2010.
Estimates of effective permeability for non-Newtonian fluid flow in randomly heterogeneous porous media.
Stochastic Environmental Research and Risk Assessment,
Vol. 24,
Issue. 7,
p.
1067.
Lin, G.
Tartakovsky, A.M.
and
Tartakovsky, D.M.
2010.
Uncertainty quantification via random domain decomposition and probabilistic collocation on sparse grids.
Journal of Computational Physics,
Vol. 229,
Issue. 19,
p.
6995.
Severino, G.
Comegna, A.
Coppola, A.
Sommella, A.
and
Santini, A.
2010.
Stochastic analysis of a field-scale unsaturated transport experiment.
Advances in Water Resources,
Vol. 33,
Issue. 10,
p.
1188.
Wang, Peng
and
Tartakovsky, Daniel M.
2011.
Reduced complexity models for probabilistic forecasting of infiltration rates.
Advances in Water Resources,
Vol. 34,
Issue. 3,
p.
375.
Teodorovich, E. V.
Spesivtsev, P. E.
and
Nœtinger, B.
2011.
A Stochastic Approach to the Two-Phase Displacement Problem in Heterogeneous Porous Media.
Transport in Porous Media,
Vol. 87,
Issue. 1,
p.
151.
Sun, Pengtao
Zhou, Su
Hu, Qiya
and
Liang, Guoping
2012.
Numerical Study of a 3D Two-Phase PEM Fuel Cell Model Via a Novel Automated Finite Element/Finite Volume Program Generator.
Communications in Computational Physics,
Vol. 11,
Issue. 1,
p.
65.