Uncertainty Quantification in Multiscale Materials Modeling
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9780081029411

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Hierarchical multiscale model calibration and validation for materials applications

Uncertainty Quantification in Multiscale Materials Modeling ◽

10.1016/b978-0-08-102941-1.00014-6 ◽

2020 ◽

pp. 449-471

Author(s):

Aaron E. Tallman ◽

Laura P. Swiler ◽

Yan Wang ◽

David L. McDowell

Keyword(s):

Model Calibration ◽

Multiscale Model ◽

Calibration And Validation ◽

Hierarchical Multiscale ◽

Model Calibration And Validation

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Preface

Uncertainty Quantification in Multiscale Materials Modeling ◽

10.1016/b978-0-08-102941-1.05001-x ◽

2020 ◽

pp. xvii-xviii

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Bayesian Global Optimization applied to the design of shape-memory alloys

Uncertainty Quantification in Multiscale Materials Modeling ◽

10.1016/b978-0-08-102941-1.00016-x ◽

2020 ◽

pp. 519-537

Author(s):

Dezhen Xue ◽

Yuan Tian ◽

Ruihao Yuan ◽

Turab Lookman

Keyword(s):

Global Optimization ◽

Shape Memory Alloys ◽

Shape Memory ◽

Bayesian Global Optimization

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Multiscale simulation of fiber composites with spatially varying uncertainties

Uncertainty Quantification in Multiscale Materials Modeling ◽

10.1016/b978-0-08-102941-1.00011-0 ◽

2020 ◽

pp. 355-384

Author(s):

Ramin Bostanabad ◽

Biao Liang ◽

Anton van Beek ◽

Jiaying Gao ◽

Wing Kam Liu ◽

...

Keyword(s):

Fiber Composites ◽

Multiscale Simulation ◽

Spatially Varying

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The uncertainty pyramid for electronic-structure methods

Uncertainty Quantification in Multiscale Materials Modeling ◽

10.1016/b978-0-08-102941-1.00002-x ◽

2020 ◽

pp. 41-76

Author(s):

Kurt Lejaeghere

Keyword(s):

Electronic Structure ◽

Electronic Structure Methods

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Uncertainty quantification of mesoscale models of porous uranium dioxide

Uncertainty Quantification in Multiscale Materials Modeling ◽

10.1016/b978-0-08-102941-1.00010-9 ◽

2020 ◽

pp. 329-354

Author(s):

Michael R. Tonks ◽

C. Bhave ◽

X. Wu ◽

Y. Zhang

Keyword(s):

Uncertainty Quantification ◽

Uranium Dioxide ◽

Mesoscale Models

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An experimental approach for enhancing the predictability of mechanical properties of additively manufactured architected materials with manufacturing-induced variability

Uncertainty Quantification in Multiscale Materials Modeling ◽

10.1016/b978-0-08-102941-1.00017-1 ◽

2020 ◽

pp. 539-565

Author(s):

Carolyn C. Seepersad ◽

Jared A. Allison ◽

Amber D. Dressler ◽

Brad L. Boyce ◽

Desiderio Kovar

Keyword(s):

Mechanical Properties ◽

Experimental Approach

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Uncertainty quantification in materials modeling

Uncertainty Quantification in Multiscale Materials Modeling ◽

10.1016/b978-0-08-102941-1.00001-8 ◽

2020 ◽

pp. 1-40

Author(s):

Yan Wang ◽

David L. McDowell

Keyword(s):

Uncertainty Quantification ◽

Materials Modeling

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Mechanics of Advanced Materials Series

Uncertainty Quantification in Multiscale Materials Modeling ◽

10.1016/b978-0-08-102941-1.09001-5 ◽

2020 ◽

pp. ii

Keyword(s):

Advanced Materials

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About the Series editors

Uncertainty Quantification in Multiscale Materials Modeling ◽

10.1016/b978-0-08-102941-1.11001-6 ◽

2020 ◽

pp. xv-xvi

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Uncertainty Quantification in Multiscale Materials ModelingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Elsevier

Hierarchical multiscale model calibration and validation for materials applications

Preface

Bayesian Global Optimization applied to the design of shape-memory alloys

Multiscale simulation of fiber composites with spatially varying uncertainties

The uncertainty pyramid for electronic-structure methods

Uncertainty quantification of mesoscale models of porous uranium dioxide

An experimental approach for enhancing the predictability of mechanical properties of additively manufactured architected materials with manufacturing-induced variability

Uncertainty quantification in materials modeling

Mechanics of Advanced Materials Series

About the Series editors

Uncertainty Quantification in Multiscale Materials Modeling
Latest Publications