Scientific Modeling and Simulations

  • Sidney Yip
  • Tomás Diaz de la Rubia

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 68)

Table of contents

  1. Front Matter
    Pages I-V
  2. Tomas Diaz de la Rubia, Sidney Yip
    Pages 1-2
  3. Göran Grimvall
    Pages 41-57
  4. Cai-Zhuang Wang, Wen-Cai Lu, Yong-Xin Yao, Ju Li, Sidney Yip, Kai-Ming Ho
    Pages 81-95
  5. H. E. Lorenzana, J. F. Belak, K. S. Bradley, E. M. Bringa, K. S. Budil, J. U. Cazamias et al.
    Pages 159-186
  6. Michele Monteferrante, Sara Bonella, Simone Meloni, Eric Vanden-Eijnden, Giovanni Ciccotti
    Pages 187-206
  7. D. L. McDowell, G. B. Olson
    Pages 207-240
  8. John C. Mauro, Roger J. Loucks, Arun K. Varshneya, Prabhat K. Gupta
    Pages 241-281
  9. John C. Mauro, Srikanth Raghavan
    Pages 283-312
  10. Z. Shreif, P. Adhangale, S. Cheluvaraja, R. Perera, R. Kuhn, P. Ortoleva
    Pages 363-380
  11. Zhihui Wang, Thomas S. Deisboeck
    Pages 381-393
  12. Back Matter
    Pages I-VI

About this book


The conceptualization of a problem (modeling) and the computational solution of this problem (simulation), is the foundation of Computational Science. This coupled endeavor is unique in several respects. It allows practically any complex system to be analyzed with predictive capability by invoking the multiscale paradigm—linking unit-process models at lower length (or time) scales where fundamental principles have been established to calculations at the system level.

The community of multiscale materials modeling has evolved into a multidisciplinary group with a number of identified problem areas of interest. Sidney Yip and Tomas Diaz De La Rubia, the editors of this volume, have gathered 18 contributions that showcase the conceptual advantages of modeling which, coupled with the unprecedented computing power through simulations, allow scientists to tackle the formibable problems of our society, such as the search for hydrocarbons, understanding the structure of a virus, or the intersection between simulations and real data in extreme environments.

Scientific Modeling and Simulations advocates the scientific virtues of modeling and simulation, and also encourages the cross fertilization between communities, exploitations of high-performance computing, and experiment-simulation synergies.

The contents of this book were previously published in Scientific Modeling and Simulations, Vol 15, No. 1-3, 2008.


atomistic simulations calculus communication comparison between experiments and simulations complex systems computer-aided design (CAD) computer-aided vaccine design first-principle calculations glass transition linear optimization mechanics mo

Editors and affiliations

  • Sidney Yip
    • 1
  • Tomás Diaz de la Rubia
    • 2
  1. 1.Department of Nuclear EngineeringMassachusetts Institute of TechnologyCambridgeUSA
  2. 2.Lawrence Livermore National LaboratoryUniversity of CaliforniaLivermoreUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media B.V. 2009
  • Publisher Name Springer, Dordrecht
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4020-9740-9
  • Online ISBN 978-1-4020-9741-6
  • Series Print ISSN 1439-7358
  • Buy this book on publisher's site