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Steven Mattis
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Numerical modeling of drag for flow through vegetated domains and porous structures
SA Mattis, CN Dawson, CE Kees, MW Farthing
Advances in Water Resources 39, 44-59, 2012
452012
Pre-asymptotic transport upscaling in inertial and unsteady flows through porous media
N Sund, D Bolster, S Mattis, C Dawson
Transport in Porous Media 109, 411-432, 2015
332015
Computational model for wave attenuation by flexible vegetation
SA Mattis, CE Kees, MV Wei, A Dimakopoulos, CN Dawson
Journal of Waterway, Port, Coastal, and Ocean Engineering 145 (1), 04018033, 2019
312019
Bayesian calibration and sensitivity analysis for a karst aquifer model using active subspaces
M Teixeira Parente, D Bittner, SA Mattis, G Chiogna, B Wohlmuth
Water Resources Research 55 (8), 7086-7107, 2019
292019
An immersed structure approach for fluid-vegetation interaction
SA Mattis, CN Dawson, CE Kees, MW Farthing
Advances in water resources 80, 1-16, 2015
292015
Parameter estimation and prediction for groundwater contamination based on measure theory
SA Mattis, TD Butler, CN Dawson, D Estep, VV Vesselinov
Water Resources Research 51 (9), 7608-7629, 2015
222015
Identifying relevant hydrological and catchment properties in active subspaces: An inference study of a lumped karst aquifer model
D Bittner, MT Parente, S Mattis, B Wohlmuth, G Chiogna
Advances in water resources 135, 103472, 2020
202020
Data-driven uncertainty quantification for predictive flow and transport modeling using support vector machines
J He, SA Mattis, TD Butler, CN Dawson
Computational Geosciences 23, 631-645, 2019
182019
Goal-oriented adaptive surrogate construction for stochastic inversion
SA Mattis, B Wohlmuth
Computer Methods in Applied Mechanics and Engineering 339, 36-60, 2018
172018
Efficient parameter estimation for a methane hydrate model with active subspaces
M Teixeira Parente, S Mattis, S Gupta, C Deusner, B Wohlmuth
Computational Geosciences 23 (2), 355-372, 2019
162019
A measure-theoretic interpretation of sample based numerical integration with applications to inverse and prediction problems under uncertainty
T Butler, L Graham, S Mattis, S Walsh
SIAM Journal on Scientific Computing 39 (5), A2072-A2098, 2017
162017
BET: Butler, Estep, Tavener Method v2. 0.0
L Graham, S Mattis, S Walsh
University of Texas at Austin,[Availiable online at https://github. com/UT …, 2016
13*2016
Convergent extension by intercalation without mediolaterally fixed cell motion
TM Backes, R Latterman, SA Small, S Mattis, G Pauley, E Reilly, ...
Journal of Theoretical Biology 256 (2), 180-186, 2009
112009
Numerical modeling of flow through domains with simple vegetation-like obstacles
SA Mattis, CN Dawson, CE Kees, MW Farting
XIX International Conference on water resources CMWR–2012. University of …, 2012
62012
Learning quantities of interest from dynamical systems for observation-consistent inversion
SA Mattis, KR Steffen, T Butler, CN Dawson, D Estep
Computer Methods in Applied Mechanics and Engineering 388, 114230, 2022
52022
Uncertainty quantification of two-phase flow problems via measure theory and the generalized multiscale finite element method
M Presho, S Mattis, C Dawson
Computational Geosciences 21 (2), 187-204, 2017
52017
Enhancing piecewise‐defined surrogate response surfaces with adjoints on sets of unstructured samples to solve stochastic inverse problems
SA Mattis, T Butler
International Journal for Numerical Methods in Engineering 119 (10), 923-940, 2019
32019
Mathematical modeling of flow through vegetated regions
SA Mattis
32013
Homogenization and upscaling of flow through vegetation
CE Kees, MW Farthing, SA Mattis, CN Dawson
XVIII International Conference on Water Resources CMWR, 2010
22010
How to model the impacts of land use changes in karstic environments: Model development, parameter dimension reduction and uncertainty quantification
D Bittner, M Teixeira Parente, S Mattis, B Wohlmuth, M Disse, G Chiogna
46th Annual Congress of the International Association of Hydrogeologists, 2019
2019
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Articles 1–20