Uncertainty Quantification in Multiscale Materials Modeling
  • Release Date : 10 March 2020
  • Publisher : Woodhead Publishing
  • Categories : Technology & Engineering
  • Pages : 604 pages
  • ISBN 13 : 9780081029428
  • ISBN 10 : 008102942X
Score: 4
From 245 Ratings
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Synopsis : Uncertainty Quantification in Multiscale Materials Modeling written by Yan Wang, published by Woodhead Publishing which was released on 10 March 2020. Download Uncertainty Quantification in Multiscale Materials Modeling Books now! Available in PDF, EPUB, Mobi Format. 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

Assessing the Reliability of Complex Models

Assessing the Reliability of Complex Models

Author : National Research Council,Division on Engineering and Physical Sciences,Board on Mathematical Sciences and Their Applications,Committee on Mathematical Foundations of Verification, Validation, and Uncertainty Quantification
Publisher : National Academies Press
Category : Mathematics
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