Introduction to Computational Nanomechanics
Multiscale and Statistical Simulations
Published on 8. December 2022
Book
Hardback
582 pages
978-1-107-01115-1 (ISBN)
Description
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.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Product notice
sewn/stitched
Cloth over boards
Illustrations
Worked examples or Exercises
Dimensions
Height: 240 mm
Width: 168 mm
Thickness: 20 mm
Weight
1247 gr
ISBN-13
978-1-107-01115-1 (9781107011151)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Shaofan Li | Jun Li
Introduction to Computational Nanomechanics
Multiscale and Statistical Simulations
E-Book
11/2022
Cambridge University Press
€111.99
Available for download
Persons
Shaofan Li is a full professor of computational science at the University of California, Berkeley. Dr. Li has been conducting research in atomistic and multiscale simulations since 2000, publishing more than 200 technical articles in peer-reviewed journals. Jun Li is a post-doctoral researcher at Wuhan University of Technology. Dr. Li has been conducting research in first-principle modeling and simulations of materials since 2015, publishing over 20 technical papers in peer-reviewed journals.
Content
Preface; ParT I. FIRST PRINCIPLE CALCULATIONS: 1. A short primer on quantum mechanics; 2. Density functional theory; 3. Quantum stress; 4. An introduction to VSAP; PART II. STATISTICAL MOLECULAR DYNAMICS: 5. Fundamentals of statistical mechanics; 6. Fundamentals of molecular dynamics; 7. Molecular dynamics time integration techniques; 8. Temperature control in MD simulations; 9. Andersen-Parrinello-Rahman molecular dynamics; 10. Introduction to LAMMPS; 11. Monte carlo methods; 12. Langevin equations and dissipative particle; 13. Non-equilibrium molecular dynamics; Part III. MULTISCALE MODELING AND SIMULATION: 14. Virial theoreum and virial stress; 15. Cauchy-born rile and multiscale methods; 16. Statistical theory of cauchy continuum; 17. Multiscale method (I): multiscale micromorhpic molecular dynamics; 18. Multiscale methods (II) multiscale finite element methods; Appendix A; Bibliography; Author index, Subject index.