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Table of contents

  1. Karsten Reuter, Horia Metiu
  2. Xin Zhao, Shunqing Wu, Manh Cuong Nguyen, Kai-Ming Ho, Cai-Zhuang Wang
  3. Charlotte S. Becquart, Normand Mousseau, Christophe Domain
  4. Richard F. L. Evans
  5. Iek-Heng Chu, Minghao Zhang, Shyue Ping Ong, Ying Shirley Meng
  6. Ching-Long Lin, Sanghun Choi, Babak Haghighi, Jiwoong Choi, Eric A. Hoffman
  7. Matthias Hettel, Martin Wörner, Olaf Deutschmann
  8. Xue-Zeng Lu, James M. Rondinelli
  9. Enrique Martínez, María José Caturla, Jaime Marian
  10. Abhinav S. Raman, Aleksandra Vojvodic
  11. Alexander A. Demkov, Kurt D. Fredrickson, Hosung Seo, Andrew O’Hara
  12. Branislav K. Nikolić, Kapildeb Dolui, Marko D. Petrović, Petr Plecháč, Troels Markussen, Kurt Stokbro
  13. Alexander Bagger, Ivano E. Castelli, Martin Hangaard Hansen, Jan Rossmeisl
  14. Sushmit Goyal, Hyunhang Park, Sung Hoon Lee, Mathew McKenzie, Aravind Rammohan, Hyunbin Kim et al.
  15. Stefano Baroni, Riccardo Bertossa, Loris Ercole, Federico Grasselli, Aris Marcolongo
  16. Marina R. Filip, George Volonakis, Feliciano Giustino

About this book

Introduction

The Handbook of Materials Modeling, 2nd edition is a six-volume major reference serving a steadily growing community at the intersection of two mainstreams of global research: computational science and materials science and technology. This extensively expanded new edition reflects the significant developments in all aspects of computational materials research over the past decade, featuring progress in simulations at multiple scales and increasingly more realistic materials models. Thematically separated into two mutually dependent sets – “Methods: Theory and Modeling (MTM)” and “Applications: Current and Emerging Materials (ACE)” – the handbook runs the entire gamut from theory and methods to simulations and applications. Readers benefit from its in-depth coverage of a broad methodological spectrum extending from advanced atomistic simulations of rare events to data-driven artificial intelligence strategies for materials informatics in the set MTM, as well as forefront emphasis on materials of far-ranging societal importance such as photovoltaics and energy-relevant oxides, and cutting-edge applications to materials for spintronic devices, graphene, cement, and glasses in the set ACE. The thorough, interconnected coverage of methods and applications, together with a line-up of internationally acclaimed editors and authors, will ensure the Handbook of Material Modeling’s standing as an enduring source of learning and inspiration for a global community of computational materials scientists.


Keywords

Quantum Mechanics/ Molecular Mechanics (QM/MM) Time-Dependent Density Functional Theory (TDDFT) Multiscale materials modeling Coarse-grained models Atomistic simulations Microstructure evolution Computational materials science reference Materials modelling reference

Editors and affiliations

  • Wanda Andreoni
    • 1
  • Sidney Yip
    • 2
  1. 1.Institute of PhysicsÉcole Polytechnique Fédérale de LausanneLausanneSwitzerland
  2. 2.Department of Nuclear Science & EngineeringMassachusetts Institute of TechnologyCambridgeUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-50257-1
  • Copyright Information Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy Reference Module Physical and Materials Science
  • Online ISBN 978-3-319-50257-1