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Multiscale Paradigms in Integrated Computational Materials Science and Engineering: Materials Theory, Modeling, and Simulation for Predictive Design 1st ed. 2016 [Hardback]

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  • Formāts: Hardback, 300 pages, height x width: 235x155 mm, weight: 5915 g, IX, 300 p., 1 Hardback
  • Sērija : Springer Series in Materials Science 226
  • Izdošanas datums: 02-Dec-2015
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319245279
  • ISBN-13: 9783319245270
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  • Hardback
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  • Formāts: Hardback, 300 pages, height x width: 235x155 mm, weight: 5915 g, IX, 300 p., 1 Hardback
  • Sērija : Springer Series in Materials Science 226
  • Izdošanas datums: 02-Dec-2015
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319245279
  • ISBN-13: 9783319245270
Citas grāmatas par šo tēmu:
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.
1 Introduction
1(12)
Pierre A. Deymier
Keith Runge
2 Path Integral Molecular Dynamics Methods
13(94)
Pierre A. Deymier
Keith Runge
Ki-Dong Oh
G.E. Jabbour
3 Interatomic Potentials Including Chemistry
107(88)
S.M. Valone
Krishna Muralidharan
Keith Runge
4 Phase Field Methods
195(24)
Nan Wang
Long-Qing Chen
5 Peridynamics
219(30)
Ibrahim Guven
6 Consistent Embedding Frameworks for Predictive Multi-theory Multiscale Simulations
249(50)
Krishna Muralidharan
Keith Runge
Pierre A. Deymier
Index 299