Search Results | ASME Digital Collection

1-14 of 14

Sort by

Sort Order Select

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

Paper No: DETC2022-89213

DOI: https://doi.org/10.1115/DETC2022-89213

View Paper

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

J. Comput. Inf. Sci. Eng. February 2023, 23(1): 011011.

Paper No: JCISE-22-1017

DOI: https://doi.org/10.1115/1.4055852

Published Online: October 20, 2022

View Article

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

J. Comput. Inf. Sci. Eng. December 2022, 22(6): 061005.

Paper No: JCISE-21-1332

DOI: https://doi.org/10.1115/1.4054237

Published Online: May 10, 2022

View Article

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

Paper No: DETC2021-70828

DOI: https://doi.org/10.1115/DETC2021-70828

View Paper

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

J. Mech. Des. March 2022, 144(3): 031705.

Paper No: MD-20-1934

DOI: https://doi.org/10.1115/1.4052445

Published Online: October 21, 2021

View Article

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

Paper No: DETC2020-22184

DOI: https://doi.org/10.1115/DETC2020-22184

View Paper

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

Paper No: FEDSM2020-20059

DOI: https://doi.org/10.1115/FEDSM2020-20059

View Paper

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

J. Comput. Inf. Sci. Eng. October 2020, 20(5): 057001.

Paper No: JCISE-20-1112

DOI: https://doi.org/10.1115/1.4047210

Published Online: June 12, 2020

View Article

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

J. Comput. Inf. Sci. Eng. June 2020, 20(3): 031007.

Paper No: JCISE-19-1272

DOI: https://doi.org/10.1115/1.4046697

Published Online: April 23, 2020

View Article

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

Paper No: DETC2019-97986

DOI: https://doi.org/10.1115/DETC2019-97986

View Paper

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

J Biomech Eng. January 2020, 142(1): 011007.

Paper No: BIO-18-1315

DOI: https://doi.org/10.1115/1.4044244

Published Online: October 1, 2019

View Article

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

ASME J. Risk Uncertainty Part B. March 2018, 4(1): 011006.

Paper No: RISK-17-1002

DOI: https://doi.org/10.1115/1.4037459

Published Online: September 7, 2017

View Article

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

J. Electron. Packag. December 2017, 139(4): 041003.

Paper No: EP-17-1033

DOI: https://doi.org/10.1115/1.4037334

Published Online: August 25, 2017

View Article

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

Paper No: DETC2016-59431

DOI: https://doi.org/10.1115/DETC2016-59431

View Paper

Topics: Molecular dynamics simulation, Uncertainty, Uncertainty quantification, Molecular dynamics, Simulation, Pressure, Reliability, Temperature

Journal citation

NARROW

Integrated Computational Materials Engineering With Monotonic Gaussian Processes

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

A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution

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

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

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

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

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 ]

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

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

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

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

Determination of Energy Release Rate Through Sequential Crack Extension

Molecular Dynamics Simulation With Interval-Valued Interatomic Potentials

Journals

Conference Proceedings

eBooks

Resources

Opportunities

Journals

Conference Proceedings

eBooks

Resources

Opportunities

This Feature Is Available To Subscribers Only