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Catalogue Information
Field name
Details
Dewey Class
620.110
Title
Scientific Modeling and Simulations ([Ebook]) / edited by Sidney Yip, Tomas Diaz Rubia.
Author
Yip, Sidney
Added Personal Name
Rubia, Tomas Diaz
Other name(s)
SpringerLink (Online service)
Publication
Dordrecht : Springer Netherlands , 2009.
Physical Details
VI, 402 pages : online resource.
Series
Lecture Notes in Computational Science and Engineering
1439-7358 ; ; 68
ISBN
9781402097416
Summary Note
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 paradigmâlinking 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.:
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-1-4020-9741-6
Links to Related Works
Subject References:
Appl.Mathematics/Computational Methods of Engineering
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Chemistry
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Computational Science and Engineering
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Computer Science
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Computer simulation
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Engineering mathematics
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Numerical and Computational Physics
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Physics
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Simulation and Modeling
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Theoretical and Computational Chemistry
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Authors:
editor
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Rubia, Tomas Diaz
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Yip, Sidney
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Corporate Authors:
SpringerLink (Online service)
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Series:
Lecture Notes in Computational Science and Engineering
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Classification:
620.110
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