Tim Wildey - RankMe

29 papers Journal 28

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Building Population-Informed Priors for Bayesian Inference Using Data-Consistent Stochastic Inversion. SIAM/ASA J. Uncertain. Quantification Rebekah D. White, John D. Jakeman, Tim Wildey, Troy D. Butler
2024	J	`jnl`	A Distributions-based Approach for Data-Consistent Inversion. CoRR Kirana Bergstrom, Troy D. Butler, Tim Wildey
2024	J	`jnl`	R-Adaptive Mesh Optimization to Enhance Finite Element Basis Compression. CoRR Graham Harper, Denis Ridzal, Tim Wildey
2022	J	`jnl`	A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution. J. Comput. Inf. Sci. Eng. Anh Tran, Tim Wildey, Jing Sun, Dehao Liu, Yan Wang
2020	J	`jnl`	An active learning high-throughput microstructure calibration framework for solving inverse structure-process problems in materials informatics. CoRR Anh Tran, John A. Mitchell, Laura P. Swiler, Tim Wildey
2020	J	`jnl`	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. Anh Tran, Tim Wildey, Scott McCann
2020	J	`jnl`	Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys. CoRR Anh Tran, Julien Tranchida, Tim Wildey, Aidan P. Thompson
2020	J	`jnl`	Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications. CoRR Anh Tran, Jing Sun, Dehao Liu, Tim Wildey, Yan Wang
2020	J	`jnl`	Optimal experimental design for prediction based on push-forward probability measures. J. Comput. Phys. Troy D. Butler, John D. Jakeman, Tim Wildey
2020	J	`jnl`	Solving stochastic inverse problems for property-structure linkages using data-consistent inversion and machine learning. CoRR Anh Tran, Tim Wildey
2020	J	`jnl`	aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture. CoRR Anh Tran, Scott McCann, John M. Furlan, Krishnan V. Pagalthivarthi, Robert J. Visintainer, Tim Wildey
2020	J	`jnl`	sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications. J. Comput. Inf. Sci. Eng. Anh Tran, Tim Wildey, Scott McCann
2019	J	`jnl`	Unified Geometric Multigrid Algorithm for Hybridized High-Order Finite Element Methods. SIAM J. Sci. Comput. Tim Wildey, Sriramkrishnan Muralikrishnan, Tan Bui-Thanh
2018	J	`jnl`	Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems. SIAM J. Sci. Comput. Troy D. Butler, John D. Jakeman, Tim Wildey
2018	J	`jnl`	Convergence of Probability Densities Using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification. SIAM J. Sci. Comput. Troy D. Butler, John D. Jakeman, Tim Wildey
2016	J	`jnl`	Robust verification analysis. J. Comput. Phys. William J. Rider, Walt Witkowski, James R. Kamm, Tim Wildey
2016	J	`jnl`	Stabilized FE simulation of prototype thermal-hydraulics problems with integrated adjoint-based capabilities. J. Comput. Phys. John N. Shadid, Thomas M. Smith, Eric C. Cyr, Tim Wildey, Roger P. Pawlowski
2015	J	`jnl`	Error Decomposition and Adaptivity for Response Surface Approximations from PDEs with Parametric Uncertainty. SIAM/ASA J. Uncertain. Quantification Corey M. Bryant, Serge Prudhomme, Tim Wildey
2014	J	`jnl`	Approaches for Adjoint-Based A Posteriori Analysis of Stabilized Finite Element Methods. SIAM J. Sci. Comput. Eric C. Cyr, John N. Shadid, Tim Wildey
2013	J	`jnl`	Adjoint Based A Posteriori Analysis of Multiscale Mortar Discretizations with Multinumerics. SIAM J. Sci. Comput. Simon Tavener, Tim Wildey
2013	—	`ch.`	Preconditioning for Mixed Finite Element Formulations of Elliptic Problems. Domain Decomposition Methods in Science and Engineering XX Tim Wildey, Guangri Xue
2013	J	`jnl`	Propagation of Uncertainties Using Improved Surrogate Models. SIAM/ASA J. Uncertain. Quantification Troy D. Butler, Clint Dawson, Tim Wildey
2013	J	`jnl`	Robust a Posteriori Error Control and Adaptivity for Multiscale, Multinumerics, and Mortar Coupling. SIAM J. Numer. Anal. Gergina Pencheva, Martin Vohralík, Mary F. Wheeler, Tim Wildey
2012	J	`jnl`	A Frozen Jacobian Multiscale Mortar Preconditioner for Nonlinear Interface Operators. Multiscale Model. Simul. Benjamin Ganis, Gergina Pencheva, Mary F. Wheeler, Tim Wildey, Ivan Yotov
2012	J	`jnl`	A Posteriori Error Analysis of Parameterized Linear Systems Using Spectral Methods. SIAM J. Matrix Anal. Appl. Troy D. Butler, Paul G. Constantine, Tim Wildey
2011	J	`jnl`	A Posteriori Error Analysis of Stochastic Differential Equations Using Polynomial Chaos Expansions. SIAM J. Sci. Comput. Troy D. Butler, Clint Dawson, Tim Wildey
2010	J	`jnl`	A posteriori error estimation and adaptive mesh refinement for a multiscale operator decomposition approach to fluid-solid heat transfer. J. Comput. Phys. Donald J. Estep, Simon Tavener, Tim Wildey
2010	J	`jnl`	Efficient algorithms for multiscale modeling in porous media. Numer. Linear Algebra Appl. Mary F. Wheeler, Tim Wildey, Guangri Xue
2008	J	`jnl`	A Posteriori Analysis and Improved Accuracy for an Operator Decomposition Solution of a Conjugate Heat Transfer Problem. SIAM J. Numer. Anal. Donald J. Estep, Simon Tavener, Tim Wildey