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Anh Tran · Study

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Anh Tran

7 works· latest 2023· 3 institutionscluster: provisionalORCID 0000-0002-8629-7161

h-index7

i107

Citations148

Works here7

16

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23

Most cited in this library

Solving Stochastic Inverse Problems for Property–Structure Linkages Using Data-Consistent Inversion and Machine Learning2020 · 43 citations
Reliable Molecular Dynamics: Uncertainty quantification using interval analysis in molecular dynamics simulation2016 · 23 citations
Microstructure-Sensitive Uncertainty Quantification for Crystal Plasticity Finite Element Constitutive Models Using Stochastic Collocation Methods2022 · 22 citations
Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.16 Theory Manual2021 · 20 citations
Multi-fidelity microstructure-induced uncertainty quantification by advanced Monte Carlo methods2023 · 15 citations

Works

7 shown

Multi-fidelity microstructure-induced uncertainty quantification by advanced Monte Carlo methods

Materialia·2023·3 authors·Open access

15citations

Microstructure-Sensitive Uncertainty Quantification for Crystal Plasticity Finite Element Constitutive Models Using Stochastic Collocation Methods

Frontiers in Materials·2022·3 authors·Open access

22citations

Dakota A Multilevel Parallel Object-Oriented Framework for Design Optimization Parameter Estimation Uncertainty Quantification and Sensitivity Analysis (V.6.14) (Theory Manual)

·2021·15 authors·report·Open access

13citations

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.16 Theory Manual

·2021·10 authors·report·Open access

20citations

Solving Stochastic Inverse Problems for Property–Structure Linkages Using Data-Consistent Inversion and Machine Learning

JOM·2020·2 authors·Open access

43citations

Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.13 Theory Manual

·2020·10 authors·report·Open access

12citations

Reliable Molecular Dynamics: Uncertainty quantification using interval analysis in molecular dynamics simulation

Computational Materials Science·2016·2 authors·Open access

23citations