Uncertainty Quantification in Multiscale Materials Modeling Paperback / softback
Edited by Yan (Associate Professor and George W. Woodruff Faculty Fellow, School of Mechanical Engineeri Wang, David L. (Regents’ Professor and Carter N. Paden, Jr. Distinguished Chair in Metals Proces McDowell
Part of the Elsevier Series in Mechanics of Advanced Materials series
Paperback / softback
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.
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:604 pages
- Publisher:Elsevier Science & Technology
- Publication Date:12/03/2020
- Category:
- ISBN:9780081029411
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:604 pages
- Publisher:Elsevier Science & Technology
- Publication Date:12/03/2020
- Category:
- ISBN:9780081029411
