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  • © 2016

Multiscale Paradigms in Integrated Computational Materials Science and Engineering

Materials Theory, Modeling, and Simulation for Predictive Design

  • Represents a most comprehensive book on integrated computational materials science and engineering (ICMSE)
  • Provides multiscale approaches to bridge models at different scales
  • Written by world renowned experts and pioneers in the field
  • Contains a unique combination of complementary cutting-edge topics presented in a pedagogical way with practical examples
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Series in Materials Science (SSMATERIALS, volume 226)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-ix
  2. Introduction

    • Pierre A. Deymier, Keith Runge
    Pages 1-11
  3. Path Integral Molecular Dynamics Methods

    • Pierre A. Deymier, Keith Runge, Ki-Dong Oh, G. E. Jabbour
    Pages 13-106
  4. Interatomic Potentials Including Chemistry

    • S. M. Valone, Krishna Muralidharan, Keith Runge
    Pages 107-194
  5. Phase Field Methods

    • Nan Wang, Long-Qing Chen
    Pages 195-217
  6. Peridynamics

    • Ibrahim Guven
    Pages 219-247
  7. Consistent Embedding Frameworks for Predictive Multi-theory Multiscale Simulations

    • Krishna Muralidharan, Keith Runge, Pierre A. Deymier
    Pages 249-297
  8. Back Matter

    Pages 299-300

About this book

This book presents cutting-edge concepts, paradigms, and research highlights in the field of computational materials science and engineering, and provides a fresh, up-to-date perspective on solving present and future materials challenges. The chapters are written by not only pioneers in the fields of computational materials chemistry and materials science, but also experts in multi-scale modeling and simulation as applied to materials engineering. Pedagogical introductions to the different topics and continuity between the chapters are provided to ensure the appeal to a broad audience and to address the applicability of integrated computational materials science and engineering for solving real-world problems.

Editors and Affiliations

  • Dept of Materials Sci & Engineering, University of Arizona, Tucson, USA

    Pierre Deymier

  • Department of Materials Science and Engineering, University of Arizona, Tucson, USA

    Keith Runge, Krishna Muralidharan

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access