Introduction to Computational Nanomechanics: Multiscale and Statistical Simulations

Shaofan Li; Jun Li

doi:10.1017/9780511894770

Introduction to Computational Nanomechanics

Multiscale and Statistical Simulations

- Get access
  
  Buy a print copy
  
  Check if you have access via personal or institutional login
  
  Log in Register
Cited by 2
Cited by
- 2
Crossref Citations

This Book has been cited by the following publications. This list is generated based on data provided by Crossref.

Cao, Guoxin and Ren, Y. 2024. Fracture behaviour of bicrystalline graphene characterized via freestanding indentation. Journal of Micromechanics and Molecular Physics, Vol. 09, Issue. 01, p. 49.

CrossRef

Google Scholar

Hsiung, Wei Jun and Tan, Chih Shan 2024. New Debye Temperature Model of 4H‐SiC Crystal. physica status solidi (b), Vol. 261, Issue. 6,

CrossRef

Google Scholar

Shaofan Li, University of California, Berkeley, Jun Li, Wuhan University of Technology

Publisher:: Cambridge University Press
Online publication date:: October 2022
Print publication year:: 2022
Online ISBN:: 9780511894770
DOI:: https://doi.org/10.1017/9780511894770

Subjects:: Engineering, Solid Mechanics and Materials, Materials Science

Information

Contents

Metrics

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.

- Aa Reduce text
- Aa Enlarge text

View selected items
Save to my bookmarks
Export citations
Download PDF (zip)
Save to Kindle
Save to Dropbox
Save to Google Drive
Save content to
To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to .

To save content items to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Please be advised that item(s) you selected are not available.
You are about to save
Your Kindle email address

Please provide your Kindle email.

@free.kindle.com @kindle.com (service fees apply)

By using this service, you agree that you will only keep content for personal use, and will not openly distribute them via Dropbox, Google Drive or other file sharing services

References

Metrics

Total number of HTML views: 0

Total number of PDF views: 0 *

Loading metrics...

Total views: 0 *

Loading metrics...

* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

Usage data cannot currently be displayed.

Introduction to Computational Nanomechanics

Multiscale and Statistical Simulations

This Book has been cited by the following publications. This list is generated based on data provided by Crossref.

Book description

Refine List

Actions for selected content:

Contents

Frontmatter
pp i-iv

Contents
pp v-viii

Preface
pp ix-x

Acknowledgments
pp xi-xii

Part I - First-Principles Calculations
pp 1-2

1 - A Short Primer on Quantum Mechanics
pp 3-34

2 - Density Functional Theory
pp 35-51

3 - Quantum Stress
pp 52-75

4 - Introduction to VASP
pp 76-102

Part II - Statistical Molecular Dynamics
pp 103-104

5 - Fundamentals of Statistical Mechanics
pp 105-157

6 - Fundamentals of Molecular Dynamics
pp 158-188

7 - Molecular Dynamics Time Integration Techniques
pp 189-203

8 - Temperature Control in MD Simulations
pp 204-224

9 - Andersen–Parrinello–Rahman Molecular Dynamics
pp 225-248

10 - Introduction to LAMMPS
pp 249-312

11 - Monte Carlo Methods
pp 313-344

12 - Langevin Equations and Dissipative Particle Dynamics
pp 345-372

13 - Nonequilibrium Molecular Dynamics
pp 373-406

Part III - Multiscale Modeling and Simulation
pp 407-408

14 - Virial Theorem and Virial Stress
pp 409-432

15 - Cauchy–Born Rule and Multiscale Methods
pp 433-458

16 - Statistical Theory of Cauchy Continuum
pp 459-471

17 - Multiscale Method (I): Multiscale Micromorphic Molecular Dynamics
pp 472-506

18 - Multiscale Methods (II): Multiscale Finite Element Methods
pp 507-535

Appendix A - Crystal Structure
pp 536-558

Bibliography
pp 559-564

Author Index
pp 565-566

Subject Index
pp 567-572

Metrics

Full text views

Book summary page views

Introduction to Computational Nanomechanics

Multiscale and Statistical Simulations

Book description

Refine List

Actions for selected content:

Save Search

Contents

Metrics

Full text views

Book summary page views