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Tim Wildey
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- affiliation: Sandia National Laboratories, Albuquerque, USA
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2020 – today
- 2024
- [j23]Kirana Bergstrom, Troy D. Butler, Timothy Wildey:
A Distributions-Based Approach for Data-Consistent Inversion. SIAM J. Sci. Comput. 46(5): 3124- (2024) - [i7]Kirana Bergstrom, Troy Butler, Tim Wildey:
A Distributions-based Approach for Data-Consistent Inversion. CoRR abs/2404.11886 (2024) - 2022
- [j22]Anh Tran, Tim Wildey
, Jing Sun, Dehao Liu, Yan Wang
A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution. J. Comput. Inf. Sci. Eng. 22(6) (2022) - 2020
- [j21]Anh Tran, Tim Wildey
sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications. J. Comput. Inf. Sci. Eng. 20(3) (2020) - [j20]Anh Tran, Tim Wildey, Scott McCann:
Erratum: "sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications" [ASME J. Comput. Inf. Sci. Eng., 20(3), p. 0031007; DOI: 10.1115/1.4046691]. J. Comput. Inf. Sci. Eng. 20(5) (2020) - [j19]Troy D. Butler
Optimal experimental design for prediction based on push-forward probability measures. J. Comput. Phys. 416: 109518 (2020) - [i6]Anh Tran, Scott McCann, John M. Furlan, Krishnan V. Pagalthivarthi, Robert J. Visintainer, Tim Wildey:
aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture. CoRR abs/2003.09436 (2020) - [i5]Anh Tran, Jing Sun, Dehao Liu, Tim Wildey, Yan Wang:
Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications. CoRR abs/2004.06487 (2020) - [i4]Anh Tran, John A. Mitchell, Laura P. Swiler, Tim Wildey:
An active learning high-throughput microstructure calibration framework for solving inverse structure-process problems in materials informatics. CoRR abs/2004.11948 (2020) - [i3]Anh Tran, Julien Tranchida, Tim Wildey, Aidan P. Thompson:
Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys. CoRR abs/2006.00139 (2020) - [i2]Anh Tran, Tim Wildey:
Solving stochastic inverse problems for property-structure linkages using data-consistent inversion and machine learning. CoRR abs/2010.03603 (2020)
2010 – 2019
- 2019
- [j18]Tim Wildey
Unified Geometric Multigrid Algorithm for Hybridized High-Order Finite Element Methods. SIAM J. Sci. Comput. 41(5): S172-S195 (2019) - 2018
- [j17]Troy D. Butler
Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems. SIAM J. Sci. Comput. 40(2) (2018) - [j16]Troy D. Butler
Convergence of Probability Densities Using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification. SIAM J. Sci. Comput. 40(5): A3523-A3548 (2018) - 2017
- [j15]Andrew G. Salinger, Paul G. Constantine
Dimension reduction in magnetohydrodynamics power generation models: Dimensional analysis and active subspaces. Stat. Anal. Data Min. 10(5): 312-325 (2017) - 2016
- [j14]William J. Rider
Robust verification analysis. J. Comput. Phys. 307: 146-163 (2016) - [j13]John N. Shadid
Stabilized FE simulation of prototype thermal-hydraulics problems with integrated adjoint-based capabilities. J. Comput. Phys. 321: 321-341 (2016) - 2015
- [j12]John D. Jakeman
Enhancing adaptive sparse grid approximations and improving refinement strategies using adjoint-based a posteriori error estimates. J. Comput. Phys. 280: 54-71 (2015) - [j11]Corey M. Bryant, Serge Prudhomme, Tim Wildey
Error Decomposition and Adaptivity for Response Surface Approximations from PDEs with Parametric Uncertainty. SIAM/ASA J. Uncertain. Quantification 3(1): 1020-1045 (2015) - 2014
- [j10]Eric C. Cyr
Approaches for Adjoint-Based A Posteriori Analysis of Stabilized Finite Element Methods. SIAM J. Sci. Comput. 36(2) (2014) - [i1]John D. Jakeman, Timothy Wildey:
Enhancing adaptive sparse grid approximations and improving refinement strategies using adjoint-based a posteriori error estimates. CoRR abs/1407.1061 (2014) - 2013
- [j9]Troy D. Butler
Propagation of Uncertainties Using Improved Surrogate Models. SIAM/ASA J. Uncertain. Quantification 1(1): 164-191 (2013) - [j8]Gergina Pencheva, Martin Vohralík
Robust a Posteriori Error Control and Adaptivity for Multiscale, Multinumerics, and Mortar Coupling. SIAM J. Numer. Anal. 51(1): 526-554 (2013) - [j7]Simon Tavener, Tim Wildey
Adjoint Based A Posteriori Analysis of Multiscale Mortar Discretizations with Multinumerics. SIAM J. Sci. Comput. 35(6) (2013) - [p1]Tim Wildey
Preconditioning for Mixed Finite Element Formulations of Elliptic Problems. Domain Decomposition Methods in Science and Engineering XX 2013: 175-182 - 2012
- [j6]Benjamin Ganis, Gergina Pencheva, Mary F. Wheeler, Tim Wildey
A Frozen Jacobian Multiscale Mortar Preconditioner for Nonlinear Interface Operators. Multiscale Model. Simul. 10(3): 853-873 (2012) - [j5]Troy D. Butler, Paul G. Constantine
A Posteriori Error Analysis of Parameterized Linear Systems Using Spectral Methods. SIAM J. Matrix Anal. Appl. 33(1): 195-209 (2012) - 2011
- [j4]Troy D. Butler, Clint Dawson
A Posteriori Error Analysis of Stochastic Differential Equations Using Polynomial Chaos Expansions. SIAM J. Sci. Comput. 33(3): 1267-1291 (2011) - 2010
- [j3]Donald J. Estep, Simon Tavener, Tim Wildey
A posteriori error estimation and adaptive mesh refinement for a multiscale operator decomposition approach to fluid-solid heat transfer. J. Comput. Phys. 229(11): 4143-4158 (2010) - [j2]Mary F. Wheeler, Tim Wildey
Efficient algorithms for multiscale modeling in porous media. Numer. Linear Algebra Appl. 17(5): 771-785 (2010)
2000 – 2009
- 2008
- [j1]Donald J. Estep, Simon Tavener, Tim Wildey
A Posteriori Analysis and Improved Accuracy for an Operator Decomposition Solution of a Conjugate Heat Transfer Problem. SIAM J. Numer. Anal. 46(4): 2068-2089 (2008)
Coauthor Index
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