Steven Mattis
Cited by
Cited by
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
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 (2), 411-432, 2015
An immersed structure approach for fluid-vegetation interaction
SA Mattis, CN Dawson, CE Kees, MW Farthing
Advances in Water Resources 80, 1-16, 2015
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
Goal-oriented adaptive surrogate construction for stochastic inversion
SA Mattis, B Wohlmuth
Computer Methods in Applied Mechanics and Engineering 339, 36-60, 2018
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
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
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
Efficient parameter estimation for a methane hydrate model with active subspaces
MT Parente, S Mattis, S Gupta, C Deusner, B Wohlmuth
Computational Geosciences 23 (2), 355-372, 2019
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
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
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 (4), 631-645, 2019
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
Numerical modeling of flow through domains with simple vegetation-like obstacles
SA Mattis, CN Dawson, CE Kees, MW Farthing
XIX International Conf. on water resources CMWR, 2012
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
Mathematical modeling of flow through vegetated regions
SA Mattis
Homogenization and upscaling of flow through vegetation
CE Kees, MW Farthing, SA Mattis, CN Dawson
XVIII International Conference on Water Resources CMWR, 2010
On the relation between parameters and discharge data for a lumped karst aquifer model
D Bittner, MT Parente, S Mattis, B Wohlmuth, G Chiogna
arXiv preprint arXiv:1808.07009, 2018
Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion
S Mattis, KR Steffen, T Butler, CN Dawson, D Estep
arXiv preprint arXiv:2009.06918, 2020
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
The system can't perform the operation now. Try again later.
Articles 1–20