Uncertainty Quantification in Multiscale Materials Modeling

This book PDF is perfect for those who love Materials science genre, written by Yan Wang and published by Woodhead Publishing Limited which was released on 12 March 2020 with total hardcover pages 604. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Uncertainty Quantification in Multiscale Materials Modeling books below.

Uncertainty Quantification in Multiscale Materials Modeling
Author : Yan Wang
File Size : 45,9 Mb
Publisher : Woodhead Publishing Limited
Language : English
Release Date : 12 March 2020
ISBN : 9780081029411
Pages : 604 pages
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Uncertainty Quantification in Multiscale Materials Modeling by Yan Wang Book PDF Summary

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.

Uncertainty Quantification in Multiscale Materials Modeling

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

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Uncertainty Quantification in Multiscale Materials Modeling

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

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