| 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 | 45 | 2012 |
| 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 | 37 | 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 | 34 | 2019 |
| 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 | 33 | 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 | 32 | 2015 |
| 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 | 26 | 2015 |
| 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 | 24 | 2020 |
| 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 | 22 | 2019 |
| 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 | 18 | 2019 |
| 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 | 18 | 2017 |
| Goal-oriented adaptive surrogate construction for stochastic inversion SA Mattis, B Wohlmuth Computer Methods in Applied Mechanics and Engineering 339, 36-60, 2018 | 17 | 2018 |
| 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 | 12* | 2016 |
| 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 | 11 | 2022 |
| 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 | 11 | 2009 |
| 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 | 6 | 2017 |
| 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 | 6 | 2012 |
| 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 | 3 | 2019 |
| Mathematical modeling of flow through vegetated regions SA Mattis | 3 | 2013 |
| Homogenization and upscaling of flow through vegetation CE Kees, MW Farthing, SA Mattis, CN Dawson XVIII International Conference on Water Resources CMWR, 2010 | 2 | 2010 |
| Enhanced surrogate modeling with adjoints for goal-oriented measure-theoretic inversion T Butler, S Mattis preprint available at http://digital. auraria. edu/IR00000052/00001, 2016 | 1 | 2016 |
Clint Dawsonuniversity of texas at austinایمیل تأیید شده در ices.utexas.edu