Multiscale Paradigms in Integrated Computational Materials Science and Engineering - Materials Theory, Modeling, and Simulation for Predictive Design (Paperback, Softcover reprint of the original 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Series in Materials Science, 226
Release date:	August 2016
First published:	2016
Editors:	Pierre Deymier • Keith Runge • Krishna Muralidharan
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	300
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-319-34354-9
Categories:	Books > Science & Mathematics > Physics > General Books > Professional & Technical > Technology: general issues > Nanotechnology Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Electronic devices & materials > General Books > Science & Mathematics > Chemistry > Analytical chemistry > Qualitative analytical chemistry > Chemical spectroscopy, spectrochemistry > General
LSN:	3-319-34354-8
Barcode:	9783319343549

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