Tim Wildey
Orcid: 0000-0001-6424-7174Affiliations:
- Sandia National Laboratories, Albuquerque, USA
According to our database1,
Tim Wildey
authored at least 28 papers
between 2008 and 2022.
Collaborative distances:
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Bibliography
2022
A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution.
J. Comput. Inf. Sci. Eng., 2022
2020
Optimal experimental design for prediction based on push-forward probability measures.
J. Comput. Phys., 2020
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., 2020
sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications.
J. Comput. Inf. Sci. Eng., 2020
Solving stochastic inverse problems for property-structure linkages using data-consistent inversion and machine learning.
CoRR, 2020
Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys.
CoRR, 2020
An active learning high-throughput microstructure calibration framework for solving inverse structure-process problems in materials informatics.
CoRR, 2020
Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications.
CoRR, 2020
aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture.
CoRR, 2020
2019
Unified Geometric Multigrid Algorithm for Hybridized High-Order Finite Element Methods.
SIAM J. Sci. Comput., 2019
2018
Convergence of Probability Densities Using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification.
SIAM J. Sci. Comput., 2018
Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems.
SIAM J. Sci. Comput., 2018
2017
Dimension reduction in magnetohydrodynamics power generation models: Dimensional analysis and active subspaces.
Stat. Anal. Data Min., 2017
2016
Stabilized FE simulation of prototype thermal-hydraulics problems with integrated adjoint-based capabilities.
J. Comput. Phys., 2016
2015
Error Decomposition and Adaptivity for Response Surface Approximations from PDEs with Parametric Uncertainty.
SIAM/ASA J. Uncertain. Quantification, 2015
Enhancing adaptive sparse grid approximations and improving refinement strategies using adjoint-based a posteriori error estimates.
J. Comput. Phys., 2015
2014
Approaches for Adjoint-Based A Posteriori Analysis of Stabilized Finite Element Methods.
SIAM J. Sci. Comput., 2014
2013
Proceedings of the Domain Decomposition Methods in Science and Engineering XX, 2013
Adjoint Based A Posteriori Analysis of Multiscale Mortar Discretizations with Multinumerics.
SIAM J. Sci. Comput., 2013
Robust a Posteriori Error Control and Adaptivity for Multiscale, Multinumerics, and Mortar Coupling.
SIAM J. Numer. Anal., 2013
SIAM/ASA J. Uncertain. Quantification, 2013
2012
SIAM J. Matrix Anal. Appl., 2012
A Frozen Jacobian Multiscale Mortar Preconditioner for Nonlinear Interface Operators.
Multiscale Model. Simul., 2012
2011
A Posteriori Error Analysis of Stochastic Differential Equations Using Polynomial Chaos Expansions.
SIAM J. Sci. Comput., 2011
2010
Numer. Linear Algebra Appl., 2010
A posteriori error estimation and adaptive mesh refinement for a multiscale operator decomposition approach to fluid-solid heat transfer.
J. Comput. Phys., 2010
2008
A Posteriori Analysis and Improved Accuracy for an Operator Decomposition Solution of a Conjugate Heat Transfer Problem.
SIAM J. Numer. Anal., 2008