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.