Introduction to computational nanomechanics : multiscale and statistical simulations / Shaofan Li, Jun Li.
By: Li, Shaofan [author.]
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Contributor(s): Li, Jun [author.].
Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2022Description: 1 online resource (x, 572 pages) : digital, PDF file(s).Content type: text Media type: computer Carrier type: online resourceISBN: 9780511894770 (ebook).Subject(s): Nanostructures -- Mathematical models | Molecular dynamics -- Mathematics | Quantum theory -- Computer simulationAdditional physical formats: Print version: : No titleDDC classification: 620/.5015118 Online resources: Click here to access online Summary: An original comprehensive guide on computational nanomechanics discussing basic concepts and implications in areas such as computational physics, materials, mechanics and engineering as well as several other interdisciplinary avenues. This book makes the underlying theory accessible to readers without specialised training or extensive background in quantum physics, statistical mechanics, or theoretical chemistry. It combines a careful treatment of theoretical concepts with a detailed tutorial on computer software and computing implementation, including multiscale simulation and computational statistical theory. Multidisciplinary perspectives are provided, yielding a true insight on the applications of computational nanomechanics across diverse engineering fields. The book can serve as a practical guide with step-by-step discussion of coding, example problems and case studies. This book will be essential reading for students new to the subject, as well as an excellent reference for graduates and researchers.
Title from publisher's bibliographic system (viewed on 26 Oct 2022).
An original comprehensive guide on computational nanomechanics discussing basic concepts and implications in areas such as computational physics, materials, mechanics and engineering as well as several other interdisciplinary avenues. This book makes the underlying theory accessible to readers without specialised training or extensive background in quantum physics, statistical mechanics, or theoretical chemistry. It combines a careful treatment of theoretical concepts with a detailed tutorial on computer software and computing implementation, including multiscale simulation and computational statistical theory. Multidisciplinary perspectives are provided, yielding a true insight on the applications of computational nanomechanics across diverse engineering fields. The book can serve as a practical guide with step-by-step discussion of coding, example problems and case studies. This book will be essential reading for students new to the subject, as well as an excellent reference for graduates and researchers.
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