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Proceedings Papers

Additive Gaussian Process Regression for Metamodeling in High-Dimensional Problems

Anh Tran, Kathryn Maupin, Ankush Kumar Mishra, Zhen Hu, Chao Hu
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A012, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116555
https://doi.org/10.1115/DETC2023-116555
View Paper titled, Additive Gaussian Process Regression for Metamodeling in High-Dimensional Problems
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Topics: Approximation, Design, Dimensions, Engineering systems and industry applications, Machine learning, Metamodeling, Optimization, Sensitivity analysis, Uncertainty quantification
Proceedings Papers

Physics-Informed Multi-Output Surrogate Modeling of Fusion Simulations

Kathryn A. Maupin, Anh Tran, William E. Lewis, Michael E. Glinsky
Proc. ASME. IDETC-CIE2023, Volume 2: 43rd Computers and Information in Engineering Conference (CIE), V002T02A007, August 20–23, 2023
Publisher: American Society of Mechanical Engineers
Paper No: DETC2023-116989
https://doi.org/10.1115/DETC2023-116989
View Paper titled, Physics-Informed Multi-Output Surrogate Modeling of Fusion Simulations
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Topics: Metamodeling, Physics, Simulation, Uncertainty quantification, Calibration, Fuels, Magnetohydrodynamics, Compression, Computer simulation, Ignition
Proceedings Papers

Integrated Computational Materials Engineering With Monotonic Gaussian Processes

Anh Tran, Kathryn Maupin, Theron Rodgers
Proc. ASME. IDETC-CIE2022, Volume 2: 42nd Computers and Information in Engineering Conference (CIE), V002T02A038, August 14–17, 2022
Publisher: American Society of Mechanical Engineers
Paper No: DETC2022-89213
https://doi.org/10.1115/DETC2022-89213
View Paper titled, Integrated Computational Materials Engineering With Monotonic Gaussian Processes
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Topics: Interpolation, Machine learning, Materials science, Physics, Trains
Journal Articles

Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications

Anh Tran, Kathryn Maupin, Theron Rodgers
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011011.
Paper No: JCISE-22-1017
https://doi.org/10.1115/1.4055852
Published Online: October 20, 2022
View Article titled, Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications
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Topics: Machine learning, Materials science, Physics, Stress, Testing, Crystals, Plasticity, Simulation, Noise (Sound), Finite element analysis
Journal Articles

A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution

Anh Tran, Tim Wildey, Jing Sun, Dehao Liu, Yan Wang
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. December 2022, 22(6): 061005.
Paper No: JCISE-21-1332
https://doi.org/10.1115/1.4054237
Published Online: May 10, 2022
View Article titled, A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution
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Topics: Diffusion (Physics), Fokker-Planck equation, Simulation
Proceedings Papers

Scalable 3 -BO: Big Data Meets HPC - A Scalable Asynchronous Parallel High-Dimensional Bayesian Optimization Framework on Supercomputers

Anh Tran
Proc. ASME. IDETC-CIE2021, Volume 2: 41st Computers and Information in Engineering Conference (CIE), V002T02A008, August 17–19, 2021
Publisher: American Society of Mechanical Engineers
Paper No: DETC2021-70828
https://doi.org/10.1115/DETC2021-70828
View Paper titled, Scalable 3 -BO: Big Data Meets HPC - A Scalable Asynchronous Parallel High-Dimensional Bayesian Optimization Framework on Supercomputers
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Topics: Optimization, Clocks, Simulation
Journal Articles

srMO-BO-3GP: A Sequential Regularized Multi-Objective Bayesian Optimization for Constrained Design Applications Using an Uncertain Pareto Classifier

Anh Tran, Mike Eldred, Scott McCann, Yan Wang
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. March 2022, 144(3): 031705.
Paper No: MD-20-1934
https://doi.org/10.1115/1.4052445
Published Online: October 21, 2021
View Article titled, srMO-BO-3GP: A Sequential Regularized Multi-Objective Bayesian Optimization for Constrained Design Applications Using an Uncertain Pareto Classifier
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Topics: Design, Optimization, Thermomechanics
Proceedings Papers

srMO-BO-3GP: A Sequential Regularized Multi-Objective Constrained Bayesian Optimization for Design Applications

Anh Tran, Mike Eldred, Scott McCann, Yan Wang
Proc. ASME. IDETC-CIE2020, Volume 9: 40th Computers and Information in Engineering Conference (CIE), V009T09A015, August 17–19, 2020
Publisher: American Society of Mechanical Engineers
Paper No: DETC2020-22184
https://doi.org/10.1115/DETC2020-22184
View Paper titled, srMO-BO-3GP: A Sequential Regularized Multi-Objective Constrained Bayesian Optimization for Design Applications
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Topics: Design, Optimization, Engineering systems and industry applications, Finite element model, Flip-chip packages, Modeling, Thermomechanics
Proceedings Papers

WearGP: A UQ/ML Wear Prediction Framework for Slurry Pump Impellers and Casings

Anh Tran, Yan Wang, John Furlan, Krishnan V. Pagalthivarthi, Mohamed Garman, Aaron Cutright, Robert Visintainer
Proc. ASME. FEDSM2020, Volume 2: Fluid Mechanics; Multiphase Flows, V002T04A008, July 13–15, 2020
Publisher: American Society of Mechanical Engineers
Paper No: FEDSM2020-20059
https://doi.org/10.1115/FEDSM2020-20059
View Paper titled, WearGP: A UQ/ML Wear Prediction Framework for Slurry Pump Impellers and Casings
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Topics: Pump impellers, Slurries, Uncertainty quantification, Wear, Engineering simulation, Simulation, Design, Computational fluid dynamics, Machine learning, Machinery
Journal Articles

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 ]

Anh Tran, Tim Wildey, Scott McCann, Jennifer Smith
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Errata
J. Comput. Inf. Sci. Eng. October 2020, 20(5): 057001.
Paper No: JCISE-20-1112
https://doi.org/10.1115/1.4047210
Published Online: June 12, 2020
View Article titled, 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 ]
Open the PDF for 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 ] in another window
Topics: Design, Optimization
Journal Articles

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

Anh Tran, Tim Wildey, Scott McCann
Journal: Journal of Computing and Information Science in Engineering
Publisher: ASME
Article Type: Research Papers
J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031007.
Paper No: JCISE-19-1272
https://doi.org/10.1115/1.4046697
Published Online: April 23, 2020
View Article titled, sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications
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Topics: Design, Optimization
Proceedings Papers

sBF-BO-2CoGP: A Sequential Bi-Fidelity Constrained Bayesian Optimization for Design Applications

Anh Tran, Tim Wildey, Scott McCann
Proc. ASME. IDETC-CIE2019, Volume 1: 39th Computers and Information in Engineering Conference, V001T02A073, August 18–21, 2019
Publisher: American Society of Mechanical Engineers
Paper No: DETC2019-97986
https://doi.org/10.1115/DETC2019-97986
View Paper titled, sBF-BO-2CoGP: A Sequential Bi-Fidelity Constrained Bayesian Optimization for Design Applications
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Topics: Design, Optimization, Deformation, Flip-chip, Simulation, Warping
Journal Articles

Computational Optimization Study of Transcatheter Aortic Valve Leaflet Design Using Porcine and Bovine Leaflets

Stefano Travaglino, Kyle Murdock, Anh Tran, Caitlin Martin, Liang Liang, Yan Wang, Wei Sun
Journal: Journal of Biomechanical Engineering
Publisher: ASME
Article Type: Research-Article
J Biomech Eng. January 2020, 142(1): 011007.
Paper No: BIO-18-1315
https://doi.org/10.1115/1.4044244
Published Online: October 1, 2019
View Article titled, Computational Optimization Study of Transcatheter Aortic Valve Leaflet Design Using Porcine and Bovine Leaflets
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Topics: Design, Geometry, Optimization, Shapes, Stress, Valves, Stents, Finite element analysis
Journal Articles

An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels

Anh Tran, Lijuan He, Yan Wang
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Research-Article
ASME J. Risk Uncertainty Part B. March 2018, 4(1): 011006.
Paper No: RISK-17-1002
https://doi.org/10.1115/1.4037459
Published Online: September 7, 2017
View Article titled, An Efficient First-Principles Saddle Point Searching Method Based on Distributed Kriging Metamodels
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Topics: Algorithms, Approximation, Errors, Materials science, Potential energy, Uncertainty, Robustness, Construction, Dimensions, Density functional theory
Journal Articles

Determination of Energy Release Rate Through Sequential Crack Extension

Scott McCann, Gregory T. Ostrowicki, Anh Tran, Timothy Huang, Tobias Bernhard, Rao R. Tummala, Suresh K. Sitaraman
Journal: Journal of Electronic Packaging
Publisher: ASME
Article Type: Research-Article
J. Electron. Packag. December 2017, 139(4): 041003.
Paper No: EP-17-1033
https://doi.org/10.1115/1.4037334
Published Online: August 25, 2017
View Article titled, Determination of Energy Release Rate Through Sequential Crack Extension
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Topics: Fracture (Materials), Thin films, Copper
Proceedings Papers

Molecular Dynamics Simulation With Interval-Valued Interatomic Potentials

Anh Tran, Yan Wang
Proc. ASME. IDETC-CIE2016, Volume 1A: 36th Computers and Information in Engineering Conference, V01AT02A022, August 21–24, 2016
Publisher: American Society of Mechanical Engineers
Paper No: DETC2016-59431
https://doi.org/10.1115/DETC2016-59431
View Paper titled, Molecular Dynamics Simulation With Interval-Valued Interatomic Potentials
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Topics: Molecular dynamics simulation, Uncertainty, Uncertainty quantification, Molecular dynamics, Simulation, Pressure, Reliability, Temperature