Multiscale Paradigms in Integrated Computational Materials Science and Engineering: Materials Theory, Modeling, and Simulation for Predictive Design

✍ Scribed by Pierre A. Deymier, Keith Runge, Krishna Muralidharan (eds.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 305
• Series: Springer Series in Materials Science 226
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-ix
Introduction....Pages 1-11
Path Integral Molecular Dynamics Methods....Pages 13-106
Interatomic Potentials Including Chemistry....Pages 107-194
Phase Field Methods....Pages 195-217
Peridynamics....Pages 219-247
Consistent Embedding Frameworks for Predictive Multi-theory Multiscale Simulations....Pages 249-297
Back Matter....Pages 299-300

✦ Subjects

Numerical and Computational Physics; Optical and Electronic Materials; Solid State Physics; Appl.Mathematics/Computational Methods of Engineering; Nanotechnology