Multiscale Paradigms in Integrated Computational Materials Science and Engineering: Materials Theory, Modeling, and Simulation for Predictive Design (Springer Series in Materials Science, 226)

ISBN 10: 3319245279 / ISBN 13: 9783319245270

Verlag: Springer, 2015

Beschreibung

This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please donâ t hesitate to reach out. Thank you for shopping with us and supporting small businessâ happy reading!

Bestandsnummer des Verkäufers STM.5SY

Bibliografische Details

• Titel: Multiscale Paradigms in Integrated Computational Materials Science and Engineering: Materials Theory, Modeling, and Simulation for Predictive Design (Springer Series in Materials Science, 226)
• Verlag: Springer
• Erscheinungsjahr: 2015
• Sprache: Englisch
• ISBN-10: 3319245279
• ISBN-13: 9783319245270
• Einband: Hardcover
• Zustand: good

Über diesen Titel

Inhaltsangabe

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.