Anh Tran

Sandia National Laboratories California — United States

Decision Sciences · Social Sciences

16h-index1.2kcitations91works1.12yr avg
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Research Topics

Probabilistic and Robust Engineering Design(28), Advanced Multi-Objective Optimization Algorithms(22), Machine Learning in Materials Science(16), Gaussian Processes and Bayesian Inference(13), Microstructure and mechanical properties(7)

Publications91 total

Critical statistical assessment of data in metal additive manufacturing
Materials & Design·2025· 2 citedOpen Access
A Parametric, Data-Driven, Non-Intrusive Reduced-Order Model Framework for Crystal Plasticity Simulations of Voids
Integrating materials and manufacturing innovation·2025
Early Prediction of Alzheimer's and Related Dementias: A Machine Learning Approach Utilizing Social Determinants of Health Data
arXiv (Cornell University)·2025Open Access
Exascale granular microstructure reconstruction in 3D volumes of arbitrary geometries with generative learning
Acta Materialia·2025· 1 citedOpen Access
GrainPaint: A multi-scale diffusion-based generative model for microstructure reconstruction of large-scale objects
Acta Materialia·2025· 7 citedOpen Access
A Theoretical Study on Mechanism and Kinetics of o-Toluidine with NH2 radicals
SSRN Electronic Journal·2025Open Access
Applications of uncertainty quantification in engineering
Elsevier eBooks·2025
Probability and statistics in uncertainty quantification
Elsevier eBooks·2025
Sensitivity analysis in uncertainty quantification
Elsevier eBooks·2025
Stochastic expansion methods in uncertainty quantification
Elsevier eBooks·2025
Anomaly Detection in Materials Digital Twins with Multiscale ICME for Additive Manufacturing
Integrating materials and manufacturing innovation·2024· 1 cited
Calibration of Thermal Spray Microstructures Using Bayesian Optimization
2024Open Access
Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models
arXiv (Cornell University)·2024Open Access
Calibration of thermal spray microstructure simulations using Bayesian optimization
Computational Materials Science·2024· 4 citedOpen Access
Multi-fidelity Uncertainty Quantification for Homogenization Problems in Structure-Property Relationships from Crystal Plasticity Finite Elements
JOM·2023· 4 citedOpen Access
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Mechanical Systems and Signal Processing·2023· 164 citedOpen Access
Additive Gaussian Process Regression for Metamodeling in High-Dimensional Problems
2023· 2 cited
Physics-Informed Multi-Output Surrogate Modeling of Fusion Simulations
2023
ASME 2023 Hackathon SPPARKS Dataset
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
ASME 2023 Hackathon SPPARKS Dataset
2023Open Access
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Frequent Co-authors

Yan Wang(17), Timothy Wildey(10), Kathryn Maupin(8), Scott McCann(7), Robert Visintainer(6), Michael Eldred(6), Dehao Liu(6), Theron Rodgers(6), John M. Furlan(5), Krishnan V. Pagalthivarthi(5), Keith Dalbey(5), Gianluca Geraci(5), John Jakeman(5), Jason Monschke(5), Daniel Seidl(5), Friedrich Menhorn(5), Xiaoshu Zeng(5), Hojun Lim(5), Chao Hu(3), Jing Sun(3)