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Uncertainty Quantification in Multiscale Materials Modeling

Uncertainty Quantification in Multiscale Materials Modeling

Yan Wang
0/5 ( ratings)
Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.
Pages
900
Format
Paperback
Publisher
Woodhead Publishing
Release
March 01, 2020
ISBN
0081029411
ISBN 13
9780081029411

Uncertainty Quantification in Multiscale Materials Modeling

Yan Wang
0/5 ( ratings)
Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.
Pages
900
Format
Paperback
Publisher
Woodhead Publishing
Release
March 01, 2020
ISBN
0081029411
ISBN 13
9780081029411

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