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This book provides a comprehensive overview of data-driven nano-scale characterization of materials. It covers the concept of accelerated computational characterization of nano-materials by individually addressing the detailed understanding of molecular dynamics simulation, machine learning

Uncertainty quantification in composite materials and structures has gained immense attention from the research community over the last few decades. This book presents efficient uncertainty quantification schemes following meta-model-based approaches for stochasticity in material and geometric parameters of laminated composite structures. Several meta-models have been studied for this purpose and comparative results are presented for different static and dynamic responses. In addition, results for sensitivity analyses are presented to provide a complete understanding of the relative...