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Book synopsis

Nanomaterials possess special mechanical, electrical, and electronic properties. As a result, nanomaterials play a significant role in various nanoelectromechanical systems. Some of these materials include nanoparticles, nanowires, nanotubes, nanotube resonators, and nanoactuators. These structures are broadly utilized in civil, mechanical, and aerospace engineering. The dynamic analysis of nanostructures is important, because one must have knowledge about the mechanical behaviours to get an accurate prediction of dynamic characteristics. Conducting experiments at the nanoscale size is both complicated and expensive. Therefore, the development of appropriate mathematical models for the study of the dynamic behaviour of nanostructures is important. These models/problems are governed by linear/nonlinear differential equations which are not always possible to solve analytically. This deficiency compels us to search for numerical and computational methods. This book provides a detailed explanation of these methods. Computational Nano Structural Dynamics presents several computational methods together in one place to investigate the dynamic characteristics of nanostructures. It includes different numerical methods to systematically handle basic and advanced equations arising in the dynamic study. This will help both materials scientists and engineers gain a greater understanding of how the properties of nanomaterials can best be exploited. Outlines the computational methods in nanostructural dynamicsDiscusses the major challenges for using a variety of computational methods for nanostructure analysisExplains the different computational analysis methods used for different types of nanomaterial

Book details

Book category Books in English Technology, engineering, agriculture Mechanical engineering & materials Materials science

• Full title: Computational Nanostructural Dynamics
• Author: Snehashish Chakraverty, Subrat Jena, Rajarama Jena
• Language: English
• Binding: Paperback
• EAN: 9780128219997
• ID: 36635880
• Publisher: Elsevier
• Date of publishing: 01. September 2022

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