Publications

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Solving stochastic inverse problems for property-structure linkages using data-consistent inversion and machine learning

Jom

Anh Tran, Timothy Michael Wildey

https://www.osti.gov/search/identifier:1760459

Journal Article – 2020 Journal Article 2020

Solving stochastic inverse problems for structure-property linkages using data-consistent inversion

TMS 2021 Annual Meeting & Exhibition

Anh Tran, Timothy Michael Wildey

https://www.osti.gov/search/identifier:1825594

Conference Paper – 2020 Conference Paper 2020

Solving inverse problems for process-structure linkages using asynchronous parallel Bayesian optimization

TMS 2021 Annual Meeting & Exhibition

Anh Tran, Timothy Michael Wildey

https://www.osti.gov/search/identifier:1825595

Conference Paper – 2020 Conference Paper 2020

Reification of latent microstructures: On supervised, unsupervised, and semi-supervised deep learning applications for microstructures in materials informatics

Anh Tran, Theron Rodgers, Timothy Michael Wildey

https://www.osti.gov/search/identifier:1673174

SAND Report – 2020 SAND Report 2020

Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys

The Journal of Chemical Physics

Julien Guy Tranchida, Anh Tran, Timothy Michael Wildey, Aidan P. Thompson

Journal Article – 2020 Journal Article 2020

On supervised and unsupervised deep learning applications for materials informatics

Sandia Machine Learning and Deep Learning Workshop

Anh Tran, Timothy Michael Wildey, Theron Rodgers

https://www.osti.gov/search/identifier:1812467

Conference Paper – 2020 Conference Paper 2020

Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys

Sandia MLDL Workshop

Julien Guy Tranchida, Aidan P. Thompson, Anh Tran, Timothy Michael Wildey

Abstract – 2020 Abstract 2020

Multi-fidelity machine-learning with uncertainty quantification for materials design: Application to ternary random alloys

arXiv

Anh Tran, Timothy Michael Wildey, Julien Guy Tranchida, Aidan P. Thompson

https://www.osti.gov/search/identifier:1670182

Journal Article – 2020 Journal Article 2020

Optimal Experimental Design for Prediction Based on Push-forward Probability Measures

Journal of Computational Physics

Timothy Michael Wildey, Troy Butler, John Davis Jakeman

https://www.osti.gov/search/identifier:1630281

Journal Article – 2020 Journal Article 2020

Impact of a minority relativistic electron tail interacting with a thermal plasma containing high-atomic-number impurities

Physics Review Letters

Timothy Michael Wildey, Nathan Garland, Hyun-Kyung Chung, Christopher Fontes, Mark Zammit, James Colgan, Todd Elder, Christopher McDevitt, Xian-Zhu Tang

Journal Article – 2020 Journal Article 2020

An active learning high-throughput microstructure calibration framework for solving inverse structure-process problems in materials informatics

Acta Materialia

Anh Tran, John A. Mitchell, Laura Painton Swiler, Timothy Michael Wildey

https://www.osti.gov/search/identifier:1634790

Journal Article – 2020 Journal Article 2020

Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications

arXiv preprint

Anh Tran, Jing Sun, Yan Wang, Dehao Liu, Timothy Michael Wildey

https://www.osti.gov/search/identifier:1834331

Journal Article – 2020 Journal Article 2020

aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture

arXiv

Anh Tran, Timothy Michael Wildey, John Furlan, Pagalthivarthi Krishnan, Robert Visintainer, Scott McCann

https://www.osti.gov/search/identifier:1834333

Journal Article – 2020 Journal Article 2020

Data-consistent Inversion For Stochastic Input-to-output Maps

Inverse Problems

Timothy Michael Wildey, Troy Butler, Tian Yu Yen

https://www.osti.gov/search/identifier:1619228

Journal Article – 2020 Journal Article 2020

sMF-BO-2CoGP: A sequential multi-fidelity constrained Bayesian optimization framework for design applications

ASME Journal of Computing and Information Science in Engineering

Anh Tran, Timothy Michael Wildey, Scott McCann

https://www.osti.gov/search/identifier:1605731

Journal Article – 2020 Journal Article 2020

Convergence of Probability Densities using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification: Extensions to Lp

SIAM/ASA Journal on Uncertainty Quantification

Timothy Michael Wildey, Troy Butler, Wenjuan Zhang

https://www.osti.gov/search/identifier:1595429

Journal Article – 2020 Journal Article 2020

Materials informatics: data-driven, materials design, and uncertainty quantification perspectives

SNL 13th annual postdoc technical showcase

Anh Tran, Timothy Michael Wildey

https://www.osti.gov/search/identifier:1643479

Conference Paper – 2019 Conference Paper 2019

Moving Beyond Forward Simulation to Enable Data-informed Physics-based Predictions

Colloquium at University of Colorado - Denver

Timothy Michael Wildey, Lukas Bruder, Tan Bui-Thanh, Troy Butler, John Davis Jakeman, Brad Marvin, Anh Tran, Scott Walsh

https://www.osti.gov/search/identifier:1646273

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

Convergence of Probability Densities using Approximate Models for Forward and Inverse Problems in Uncertainty Quantification

AMS Fall Southeastern Sectional Meeting

Timothy Michael Wildey, Troy Butler, John Davis Jakeman

https://www.osti.gov/search/identifier:1641989

Conference Paper – 2019 Conference Paper 2019

sBF-BO-2CoGP: A sequential bi-fidelity constrained Bayesian optimization for design applications

International Design Engineering Technical Conferences & Computers and Information in Engineering Conference

Anh Tran, Timothy Michael Wildey, Scott McCann

https://www.osti.gov/search/identifier:1641650

Conference Paper – 2019 Conference Paper 2019

A sequential bi-fidelity constrained Bayesian optimization for design applications

ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference

Anh Tran, Timothy Michael Wildey, Scott McCann

https://www.osti.gov/search/identifier:1641565

Conference Paper – 2019 Conference Paper 2019

Solving Stochastic Inverse Problems using Approximate Push-forward Densities based on a Multi-fidelity Monte Carlo Method

9th International Congress on Industrial and Applied Mathematics

Timothy Michael Wildey, Troy Butler, John Davis Jakeman, Lukas Bruder

https://www.osti.gov/search/identifier:1641047

Conference Paper – 2019 Conference Paper 2019

Using High Performance Computing to Enable Data-informed Multiscale Modeling with Applications to Additive Materials

Engineering Mechanics Institute Conference

Timothy Michael Wildey, Anh Tran

https://www.osti.gov/search/identifier:1640837

Conference Paper – 2019 Conference Paper 2019

A step towards a versatile Bayesian optimization: constrained, asynchronous batch-parallel, multi-fidelity, and mixed-integer extensions

MUMS Transition Workshop and SPUQ

Anh Tran, Yan Wang, Timothy Michael Wildey

https://www.osti.gov/search/identifier:1640079

Conference Paper – 2019 Conference Paper 2019

Simultaneous Inversion of Shear Modulus and Traction Boundary Conditions in Biomechanical Imaging

Inverse Problems in Science and Engineering

Daniel Thomas Seidl, Bart G van Bloemen Waanders, Timothy Michael Wildey

https://www.osti.gov/search/identifier:1515211

Journal Article – 2019 Journal Article 2019
Document Title Type Year
Results 26–50 of 144