Multiscale Paradigms in Integrated Computational Materials Science and Engineering

Materials Theory, Modeling, and Simulation for Predictive Design

Pierre Deymier, Keith Runge, Krishna Muralidharan (Herausgeber)

Buch | Softcover

IX, 300 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-34354-9 (ISBN)

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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.

Orbital-free Density Functional Theory (OFDFT).- Path Integral Molecular Dynamics (PIMD).- Interatomic Potentials Including Chemistry.- Consistent Embedding.- Nano- and Meso-Scale Materials Phenomena.- Phase Field Methods.- Multiscale Spatial and Temporal Data Fusion and Fission in Materials.- Multiscaling and Materials Imaging.- Peridynamics.- Conclusions and Industrial Perspectives.

Erscheinungsdatum	19.08.2017
Reihe/Serie	Springer Series in Materials Science
Zusatzinfo	IX, 300 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	480 g
Themenwelt	Naturwissenschaften ► Physik / Astronomie ► Allgemeines / Lexika
Themenwelt	Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
Schlagworte	Computational Materials Science and Engineering • Interatomic Potentials • multiscale modeling • Nano- and Meso-Scale Materials Phenomena • Orbital-free Density Functional Theory (OFDFT) • Path Integral Molecular Dynamics (PIMD) • Phase Field Methods • predictive simulation
ISBN-10	3-319-34354-8 / 3319343548
ISBN-13	978-3-319-34354-9 / 9783319343549
Zustand	Neuware