Download the fantastic book titled Uncertainty Quantification in Multiscale Materials Modeling written by Yan Wang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Uncertainty Quantification in Multiscale Materials Modeling", which was released on 12 March 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Materials science genre.
Summary of Uncertainty Quantification in Multiscale Materials Modeling by Yan Wang PDF
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.
Detail About Uncertainty Quantification in Multiscale Materials Modeling PDF
- Author : Yan Wang
- Publisher : Woodhead Publishing Limited
- Genre : Materials science
- Total Pages : 604 pages
- ISBN : 0081029411
- Release Date : 12 March 2020
- PDF File Size : 52,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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