Uncertainty Quantification in Multiscale Materials Modeling

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Éditeur :

Woodhead Publishing


Paru le : 2020-03-10

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Description
Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) 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. - Synthesizes available UQ methods for materials modeling - Provides practical tools and examples for problem solving in modeling material behavior across various length scales - Demonstrates UQ in density functional theory, molecular dynamics, kinetic Monte Carlo, phase field, finite element method, multiscale modeling, and to support decision making in materials design - Covers quantum, atomistic, mesoscale, and engineering structure-level modeling and simulation
Pages
604 pages
Collection
n.c
Parution
2020-03-10
Marque
Woodhead Publishing
EAN papier
9780081029411
EAN PDF
9780081029428

Informations sur l'ebook
Nombre pages copiables
60
Nombre pages imprimables
60
Taille du fichier
18606 Ko
Prix
337,60 €
EAN EPUB SANS DRM
9780081029428

Informations sur l'ebook
Prix
337,60 €

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