N. Vu‐Bac - Concepedia

Author

N. Vu‐Bac

Bauhaus-Universität Weimar ORCID

Also Known As

N. Vu Bac, N. Vu-Bac, N. Vu‐Bac, Nam Vu-Bac

Publications

2.9K

Citations

H-Index

Concepts

All Affiliations

Bauhaus-Universität Weimar Ton Duc Thang University Tongji University Leibniz University Hannover Korea University

About

N. Vu‐Bac is an author at Bauhaus-Universität Weimar specializing in engineering, materials science, and mechanical engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	18	21	2.7K
2	Applied Physics	3	3	349
3	Natural Sciences	1	1	68
4	Biomedical Engineering	1	1	33
5	Civil Engineering	1	1	18

N. Vu‐Bac

Publications

2.8K

Citations

H-Index

Page 1

	Year	Citations
A software framework for probabilistic sensitivity analysis for computationally expensive models N. Vu‐Bac, Tom Lahmer, Xiaoying Zhuang, Advances in Engineering Software EngineeringUncertainty ModelingUncertainty QuantificationProbabilistic VerificationSensitivity Analysis	2016	580
Uncertainty quantification for multiscale modeling of polymer nanocomposites with correlated parameters N. Vu‐Bac, Roham Rafiee, Xiaoying Zhuang, Composites Part B Engineering Materials ScienceEngineeringUncertainty QuantificationPolymer ScienceMechanical Engineering	2014	233
A unified framework for stochastic predictions of mechanical properties of polymeric nanocomposites N. Vu‐Bac, Mohammad Silani, Tom Lahmer, Computational Materials Science Materials ScienceEngineeringStochastic PredictionsMechanical PropertiesMechanical Engineering	2014	171
A stochastic multiscale method for the prediction of the thermal conductivity of Polymer nanocomposites through hybrid machine learning algorithms Bokai Liu, N. Vu‐Bac, Timon Rabczuk Composite Structures Materials ScienceEngineeringPolymer ScienceStochastic Multiscale MethodMaterial Simulation	2021	170
A NURBS-based inverse analysis for reconstruction of nonlinear deformations of thin shell structures N. Vu‐Bac, Thang X. Duong, Tom Lahmer, Computer Methods in Applied Mechanics and Engineering Numerical AnalysisGeometric ModelingEngineeringIsogeometric AnalysisMechanical Engineering	2017	169
Stochastic integrated machine learning based multiscale approach for the prediction of the thermal conductivity in carbon nanotube reinforced polymeric composites Bokai Liu, N. Vu‐Bac, Xiaoying Zhuang, Composites Science and Technology Materials ScienceEngineeringPhysic Aware Machine LearningMaterial SimulationPolymer Composites	2022	167
Stochastic predictions of interfacial characteristic of polymeric nanocomposites (PNCs) N. Vu‐Bac, Tom Lahmer, Yancheng Zhang, Composites Part B Engineering Materials ScienceEngineeringPolymer ScienceNanostructured PolymerPolymer Nanocomposites	2013	159
Stochastic predictions of bulk properties of amorphous polyethylene based on molecular dynamics simulations N. Vu‐Bac, Tom Lahmer, Holger Keitel, Mechanics of Materials Materials ScienceEngineeringStochastic PredictionsPolymer ScienceApplied Physics	2013	144
Stochastic full-range multiscale modeling of thermal conductivity of Polymeric carbon nanotubes composites: A machine learning approach Bokai Liu, N. Vu‐Bac, Xiaoying Zhuang, Composite Structures Materials ScienceEngineeringNanomaterialsMachine Learning ApproachThermal Transport	2022	137
A Phantom-Node Method with Edge-Based Strain Smoothing for Linear Elastic Fracture Mechanics N. Vu‐Bac, H. Nguyen‐Xuan, Long‐Qing Chen, Journal of Applied Mathematics EngineeringMechanical EngineeringEdge-based Strain SmoothingStructural OptimizationComputational Mechanics	2013	129

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