Atomistic Modeling of Materials Failure

Atomistic Modeling of Materials Failure
Author :
Publisher :
Total Pages : 560
Release :
ISBN-10 : 0387567704
ISBN-13 : 9780387567709
Rating : 4/5 (04 Downloads)

Book Synopsis Atomistic Modeling of Materials Failure by : Markus J. Buehler

Download or read book Atomistic Modeling of Materials Failure written by Markus J. Buehler and published by . This book was released on 2011-03-21 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Atomistic Modeling of Materials Failure Related Books

Atomistic Modeling of Materials Failure
Language: en
Pages: 560
Authors: Markus J. Buehler
Categories:
Type: BOOK - Published: 2011-03-21 - Publisher:

DOWNLOAD EBOOK

Atomistic Modeling of Materials Failure
Language: en
Pages: 547
Authors: Markus J. Buehler
Categories: Science
Type: BOOK - Published: 2008-08-07 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This is an introduction to molecular and atomistic modeling techniques applied to fracture and deformation of solids, focusing on a variety of brittle, ductile,
Atomistic Computer Simulations
Language: en
Pages: 291
Authors: Veronika Brázdová
Categories: Science
Type: BOOK - Published: 2013-04-16 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Many books explain the theory of atomistic computer simulations; this book teaches you how to run them This introductory "how to" title enables readers to under
The Fiber Bundle Model
Language: en
Pages: 254
Authors: Alex Hansen
Categories: Science
Type: BOOK - Published: 2015-11-02 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Gathering research from physics, mechanical engineering, and statistics in a single resource for the first time, this text presents the background to the model,
Atomistic Simulation of Anistropic Crystal Structures at Nanoscale
Language: en
Pages: 180
Authors: Jia Fu
Categories: Computers
Type: BOOK - Published: 2019-05-10 - Publisher: BoD – Books on Demand

DOWNLOAD EBOOK

Multiscale simulations of atomistic/continuum coupling in computational materials science, where the scale expands from macro-/micro- to nanoscale, has become a