N. Vu‐Bac

Vietnam National University Ho Chi Minh City — VN

Decision Sciences · Social Sciences

20h-index2.9kcitations31works7.52yr avg
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Research Topics

Probabilistic and Robust Engineering Design(9), Polymer crystallization and properties(8), Fatigue and fracture mechanics(7), Carbon Nanotubes in Composites(6), Composite Material Mechanics(6)

Publications31 total

Fatigue Life Prediction Under Multiaxial Loading Using Machine Learning and Dependency‐Aware Sensitivity Analysis
International journal of mechanical system dynamics·2025Open Access
Machine Learning‐Assisted Sensitivity Analysis for Stochastic Fatigue Life Modeling of Metals
International journal of mechanical system dynamics·2025· 4 citedOpen Access
A Machine Learning based uncertainty quantification for compressive strength of high-performance concrete
ENGINEERING Structure and Civil Engineering·2025· 6 cited
Fatigue Life Prediction Under Multiaxial Loading Using Machine Learning and Dependency-Aware Sensitivity Analysis
SSRN Electronic Journal·2025Open Access
A Kriging-Based Uncertainty Quantification for Fracture Assessment
International Journal of Computational Methods·2024· 18 cited
Uncertainty analysis of static fatigue of Hi-Nicalon bundles
Engineering Analysis with Boundary Elements·2024· 17 cited
Al-DeMat: A web-based expert system platform for computationally expensive models in materials design
Advances in Engineering Software·2022· 85 cited
A NURBS-based inverse analysis of swelling induced morphing of thin stimuli-responsive polymer gels
Computer Methods in Applied Mechanics and Engineering·2022· 33 cited
Stochastic integrated machine learning based multiscale approach for the prediction of the thermal conductivity in carbon nanotube reinforced polymeric composites
Composites Science and Technology·2022· 168 cited
Stochastic full-range multiscale modeling of thermal conductivity of Polymeric carbon nanotubes composites: A machine learning approach
Composite Structures·2022· 137 cited
A stochastic multiscale method for the prediction of the thermal conductivity of Polymer nanocomposites through hybrid machine learning algorithms
Composite Structures·2021· 170 cited
Stochastic multiscale modeling of heat conductivity of Polymeric clay nanocomposites
Mechanics of Materials·2019· 123 cited
Uncertainty Quantification for Mechanical Properties of Polyethylene Based on Fully Atomistic Model
Materials·2019· 51 citedOpen Access
Interface Characterization Between Polyethylene/ Silica in Engineered Cementitious Composites by Molecular Dynamics Simulation
Molecules·2019· 29 citedOpen Access
An objective and path-independent 3D finite-strain beam with least-squares assumed-strain formulation
Computational Mechanics·2019· 3 cited
A NURBS-based inverse analysis of thermal expansion induced morphing of thin shells
Computer Methods in Applied Mechanics and Engineering·2019· 68 cited
List of Contributors
Elsevier eBooks·2018
A nanoscale study of the negative strain rate dependency of the strength of metallic glasses by molecular dynamics simulations
Physical Chemistry Chemical Physics·2018· 10 cited
Continuum/Finite Element Modeling of Carbon Nanotube–Reinforced Polymers
Elsevier eBooks·2018· 10 cited
A NURBS-based inverse analysis for reconstruction of nonlinear deformations of thin shell structures
Computer Methods in Applied Mechanics and Engineering·2017· 169 citedOpen Access
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Frequent Co-authors

Timon Rabczuk(27), Xiaoying Zhuang(17), Tom Lahmer(7), Bokai Liu(5), P. Areias(4), Mohammad Silani(3), Harold S. Park(3), Xiaolong Fu(3), Tran C. H. Nguyen(3), T. Nguyen‐Thoi(2), Roham Rafiee(2), Thang X. Duong(2), Roger A. Sauer(2), H. Nguyen‐Xuan(2), Van Hai Luong(2), Anh Tuấn Lê(2), Yancheng Zhang(1), Holger Keitel(1), Junhua Zhao(1), Long‐Qing Chen(1)