Publications

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Multi-Output Surrogate Construction for Fusion Simulations

63rd Annual Meeting of the APS Division of Plasma Physics

Kathryn Anne Maupin, Anh Tran, Michael Edwin Glinsky, Patrick Knapp, William Lewis

Abstract – 2021 Abstract 2021

Multi-Output Surrogate Construction for Fusion Simulations

US National Congress on Computational Mechanics

Kathryn Anne Maupin, Anh Tran, Michael Edwin Glinsky

Conference Presentation – 2021 Conference Presentation 2021

Solving Stochastic Inverse Problems for Property-Structure Relationships in Computational Materials Science

US National Congress on Computational Mechanics

Timothy Michael Wildey, Troy Butler, John Davis Jakeman, Anh Tran

Conference Presentation – 2021 Conference Presentation 2021

Scalable3-BO: Big Data meets HPC - A scalable parallel high-dimensional Bayesian optimization framework on supercomputers

Asme Idetc/cie 2021

Anh Tran

https://www.osti.gov/search/identifier:1875390

Conference Presentation – 2021 Conference Presentation 2021

Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel high-dimensional Bayesian optimization framework on supercomputers

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

Anh Tran

https://www.osti.gov/search/identifier:1870365

Conference Paper – 2021 Conference Paper 2021

Gaussian processes - UQ and optimization for multiscale computational materials design

GE Research Seminar

Anh Tran

Presentation (non-conference) – 2021 Presentation (non-conference) 2021

Microstructure reconstruction via non-local patch-based image inpainting

TMS 2021 Annual Meeting & Exhibition

Anh Tran, Hoang Tran

https://www.osti.gov/search/identifier:1854430

Conference Presentation – 2021 Conference Presentation 2021

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:1854075

Conference Presentation – 2021 Conference Presentation 2021

Multi-fidelity ML/UQ and Bayesian Optimization for Materials Design: Application to Ternary Random Alloys

TMS 2021 Annual Meeting & Exhibition (TMS2021)

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

https://www.osti.gov/search/identifier:1853874

Conference Poster – 2021 Conference Poster 2021

Solving stochastic inverse problems for property-structure linkage using data-consistent inversion and ML

TMS 2021 Annual Meeting & Exhibition

Anh Tran, Timothy Michael Wildey

https://www.osti.gov/search/identifier:1848050

Conference Poster – 2021 Conference Poster 2021

Multi-Output Surrogate Construction for Fusion Simulations

16th U.S. National Congress on Computational Mechanics

Kathryn Anne Maupin, Anh Tran

Abstract – 2021 Abstract 2021

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

2D microstructure reconstruction for SEM via non-local patch-based image inpainting

TMS 2021 Annual Meeting & Exhibition

Anh Tran, Hoang Tran

https://www.osti.gov/search/identifier:1825596

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

srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications

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

Anh Tran, Michael S. Eldred, Yan Wang, Scott McCann

https://www.osti.gov/search/identifier:1811793

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

srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications

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

Anh Tran, Michael S. Eldred, Scott McCann, Yan Wang

https://www.osti.gov/search/identifier:1808255

Conference Paper – 2020 Conference Paper 2020

WearGP: A UQ/ML wear prediction framework for slurry impellers and casings

ASME Fluids Engineering Division Summer Meeting 2020

Anh Tran, Robert Visintainer, John Furlan, Krishnan Pagalthivarthi, Mohamed Garman, Aaron Cutright, Yan Wang

https://www.osti.gov/search/identifier:1808256

Conference Paper – 2020 Conference Paper 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

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.12 Theory Manual

Keith Dalbey, Michael S. Eldred, Gianluca Geraci, John Davis Jakeman, Kathryn Anne Maupin, Jason A. Monschke, Daniel Thomas Seidl, Laura Painton Swiler, Anh Tran, Friedrich Menhorn, Xiaoshu Zeng

https://www.osti.gov/search/identifier:1630693

SAND Report – 2020 SAND Report 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
Document Title Type Year
Results 26–50 of 68