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Uncertainty Quantification in Multiscale Materials Modeling Wang McDowell
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Product Description
Uncertainty Quantification in Multiscale Materials Modeling
Presents applied tools, methods and the current state-of-the-art in uncertainty quantification in computational materials science
Yan Wang (Edited by), David L. McDowell (Edited by)
9780081029411, Elsevier Science
Paperback / softback, published 12 March 2020
604 pages
22.9 x 15.1 x 3.7 cm, 1.07 kg
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 cha]
Uncertainty Quantification in Multiscale Materials Modeling Wang McDowell
Uncertainty Quantification in Multiscale Materials Modeling
Presents applied tools, methods and the current state-of-the-art in uncertainty quantification in computational materials science
Yan Wang (Edited by), David L. McDowell (Edited by)
9780081029411, Elsevier Science
Paperback / softback, published 12 March 2020
604 pages
22.9 x 15.1 x 3.7 cm, 1.07 kg
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 cha]
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