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.
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