Uncertainty Quantification in Multiscale Materials Modeling: Elsevier Series in Mechanics of Advanced Materials
Editat de Yan Wang, David L. McDowellen Limba Engleză Paperback – 11 mar 2020
- Synthesizes available UQ methods for materials modeling
- Provides practical tools and examples for problem solving in modeling material behavior across various length scales
- Demonstrates UQ in density functional theory, molecular dynamics, kinetic Monte Carlo, phase field, finite element method, multiscale modeling, and to support decision making in materials design
- Covers quantum, atomistic, mesoscale, and engineering structure-level modeling and simulation
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Specificații
ISBN-13: 9780081029411
ISBN-10: 0081029411
Pagini: 604
Dimensiuni: 152 x 229 mm
Greutate: 0.8 kg
Editura: ELSEVIER SCIENCE
Seria Elsevier Series in Mechanics of Advanced Materials
ISBN-10: 0081029411
Pagini: 604
Dimensiuni: 152 x 229 mm
Greutate: 0.8 kg
Editura: ELSEVIER SCIENCE
Seria Elsevier Series in Mechanics of Advanced Materials
Public țintă
research scientists and engineers; graduate students; professors teaching UQMMCuprins
- 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