Uncertainty quantification in multiscale materials modeling. (2020)

• Record Type: Book
• Further Information: Note: Edited by Yan Wang, David L. McDowell.
• Editors: Wang, Yan; McDowell, David L, 1956-
• Contents: Uncertainty quantification in materials modeling The uncertainty pyramid for electronic-structure methods Bayesian error estimation in density functional theory Uncertainty quantification of solute transport coefficients Data-driven acceleration of first-principles saddle point and local minimum search based on scalable Gaussian processes Bayesian calibration of force fields for molecular simulations Reliable molecular dynamics simulations for intrusive uncertainty quantification using generalized interval analysis Sensitivity analysis in kinetic Monte Carlo simulation based on random set sampling Quantifying the effects of noise on early states of spinodal decomposition: CahneHilliardeCook equation and energy-based metrics Uncertainty quantification of mesoscale models of porous uranium dioxide Multiscale simulation of fiber composites with spatially varying uncertainties Modeling non-Gaussian random fields of material properties in multiscale mechanics of materials Fractal dimension indicator for damage detection in uncertain composites Hierarchical multiscale model calibration and validation for materials applications Efficient uncertainty propagation across continuum length scales for reliability estimates Bayesian Global Optimization applied to the design of shape-memory alloys An experimental approach for enhancing the predictability of mechanical properties of additively manufactured architected materials with manufacturing-induced variability
• Publisher Details: Oxford : Woodhead Publishing
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 620.00113; Multiscale modeling; Materials science; Structural dynamics -- Mathematical models
• Languages: English
• ISBNs: 9780081029428
• Related ISBNs: 9780081029411
• Notes: Note: Description based on CIP data; resource not viewed.
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