Timothy Wildey

Stochastic collocation and mixed finite elements for flow in porous media

Benjamin Ganis, Héctor Klíe, Mary F. Wheeler et al. · Computer Methods in Applied Mechanics and Engineering · 2008 · 55 citations

Pore Structure, Engineering, Mixed Finite Elements +10

WearGP: A computationally efficient machine learning framework for local erosive wear predictions via nodal Gaussian processes

Anh Tran, John M. Furlan, Krishnan V. Pagalthivarthi et al. · Wear · 2018 · 50 citations · Full text

Nodal Gaussian Processes, Engineering, Machine Learning +5

sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications

Anh Tran, Timothy Wildey, Scott McCann · Journal of Computing and Information Science in Engineering · 2020 · 50 citations · Full text

Large-scale Global Optimization, Engineering, Machine Learning +20

Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems

Troy Butler, John Jakeman, Timothy Wildey · SIAM Journal on Scientific Computing · 2018 · 49 citations · Full text

Solving Stochastic Inverse Problems for Property–Structure Linkages Using Data-Consistent Inversion and Machine Learning

Anh Tran, Timothy Wildey · JOM · 2020 · 42 citations · Full text

Engineering, Machine Learning, Data Science +5