| Dakota, a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis: version 6.13 user's … BM Adams, WJ Bohnhoff, KR Dalbey, MS Ebeida, JP Eddy, MS Eldred, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2020 | 1646 | 2020 |
| Stochastic collocation and mixed finite elements for flow in porous media B Ganis, H Klie, MF Wheeler, T Wildey, I Yotov, D Zhang Computer methods in applied mechanics and engineering 197 (43-44), 3547-3559, 2008 | 87 | 2008 |
| Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys A Tran, J Tranchida, T Wildey, AP Thompson The Journal of Chemical Physics 153 (7), 2020 | 69 | 2020 |
| Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems T Butler, J Jakeman, T Wildey SIAM Journal on Scientific Computing 40 (2), A984-A1011, 2018 | 68* | 2018 |
| A posteriori error analysis of stochastic differential equations using polynomial chaos expansions T Butler, C Dawson, T Wildey SIAM Journal on Scientific Computing 33 (3), 1267-1291, 2011 | 57 | 2011 |
| Robust a posteriori error control and adaptivity for multiscale, multinumerics, and mortar coupling GV Pencheva, M Vohralík, MF Wheeler, T Wildey SIAM Journal on Numerical Analysis 51 (1), 526-554, 2013 | 53 | 2013 |
| sMF-BO-2CoGP: A sequential multi-fidelity constrained Bayesian optimization framework for design applications A Tran, T Wildey, S McCann Journal of Computing and Information Science in Engineering 20 (3), 031007, 2020 | 52 | 2020 |
| Domain decomposition for poroelasticity and elasticity with DG jumps and mortars V Girault, G Pencheva, MF Wheeler, T Wildey Mathematical Models and Methods in Applied Sciences 21 (01), 169-213, 2011 | 52 | 2011 |
| WearGP: A computationally efficient machine learning framework for local erosive wear predictions via nodal Gaussian processes A Tran, JM Furlan, KV Pagalthivarthi, RJ Visintainer, T Wildey, Y Wang Wear 422, 9-26, 2019 | 50 | 2019 |
| A posteriori error analysis of parameterized linear systems using spectral methods T Butler, P Constantine, T Wildey SIAM Journal on Matrix Analysis and Applications 33 (1), 195-209, 2012 | 46 | 2012 |
| A posteriori analysis and improved accuracy for an operator decomposition solution of a conjugate heat transfer problem D Estep, S Tavener, T Wildey SIAM Journal on Numerical Analysis 46 (4), 2068-2089, 2008 | 42 | 2008 |
| Solving stochastic inverse problems for property–structure linkages using data-consistent inversion and machine learning A Tran, T Wildey JOM 73 (1), 72-89, 2021 | 39 | 2021 |
| Propagation of uncertainties using improved surrogate models T Butler, C Dawson, T Wildey SIAM/ASA Journal on Uncertainty Quantification 1 (1), 164-191, 2013 | 38 | 2013 |
| A multiscale preconditioner for stochastic mortar mixed finite elements MF Wheeler, T Wildey, I Yotov Computer methods in applied mechanics and engineering 200 (9-12), 1251-1262, 2011 | 34 | 2011 |
| A posteriori error estimation and adaptive mesh refinement for a multiscale operator decomposition approach to fluid–solid heat transfer D Estep, S Tavener, T Wildey Journal of Computational Physics 229 (11), 4143-4158, 2010 | 33 | 2010 |
| Efficient uncertainty propagation for network multiphysics systems PG Constantine, ET Phipps, TM Wildey International Journal for Numerical Methods in Engineering 99 (3), 183-202, 2014 | 32 | 2014 |
| An active learning high-throughput microstructure calibration framework for solving inverse structure–process problems in materials informatics A Tran, JA Mitchell, LP Swiler, T Wildey Acta Materialia 194, 80-92, 2020 | 31 | 2020 |
| Robust verification analysis W Rider, W Witkowski, JR Kamm, T Wildey Journal of Computational Physics 307, 146-163, 2016 | 30 | 2016 |
| Error decomposition and adaptivity for response surface approximations from PDEs with parametric uncertainty CM Bryant, S Prudhomme, T Wildey SIAM/ASA Journal on Uncertainty Quantification 3 (1), 1020-1045, 2015 | 30 | 2015 |
| A frozen Jacobian multiscale mortar preconditioner for nonlinear interface operators B Ganis, G Pencheva, MF Wheeler, T Wildey, I Yotov Multiscale Modeling & Simulation 10 (3), 853-873, 2012 | 30 | 2012 |
Troy ButlerUniversity of Colorado Denver在 ucdenver.edu 的电子邮件经过验证
