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Uncertainty Quantification in Multiscale Materials Modeling
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.
Managing Risk in Globalized Supply Chains
This report addresses the challenges the U.S. Air Force faces in mitigating the risks associated with an increasingly globalized weapon supply chain and suggests ways to improve how it addresses such risks.
Securing 5G
In this report, researchers describe fifth-generation (5G) security and identify where the United States has security advantages or disadvantages relative to China in the 5G competition and how to preserve those advantages.
Handbook of Comparative Treatments for Adult Disorders
This book compares, for each of the major disorders, the three most commonly applied therapeutic approaches. Then, noting their similarities, it points out their relative strengths and weaknesses. The information presented here is thought-provoking and comprises an up-to-date source of information drawn from scores of new journals and hundreds of relevant new books.
