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Can I read Applied Computational Materials Modeling : Theory, Simulation, and Experiment on EtoBox?

Applied Computational Materials Modeling : Theory, Simulation, and Experiment by Axel van de Walle, Gautam Ghosh, Mark Asta (auth.), Guillermo Bozzolo, Ronadl D. Noebe, Phillip B. Abel, D.R. Vij (eds.) is a nonfiction available to read on EtoBox.

What is Applied Computational Materials Modeling : Theory, Simulation, and Experiment about?

__Applied Computational Modeling__ identifies and emphasizes the successful link between computational materials modeling as a simulation and design tool and its synergistic application to experimental research and alloy development. Compared to other areas in science where computational modeling has made substantial contributions to the development and growth of a particular field, computational materials modeling has been rather limited in its ability to insert itself as a major tool in materials design. The impression that computational modeling is simply an intellectual pursuit with limited real life application has delayed its widespread use by the mainstream materials community, but as in any emerging field, the time has come where it is now difficult to imagine any vigorous materials development program without a strong foundation in modeling. Hence, this book provides the average person working in the materials field with a more balanced perspective of the role that computational modeling can play in every day research and development efforts. This is done by presenting a series of examples of the successful application of various computational modeling procedures (everythi

Who reads Applied Computational Materials Modeling : Theory, Simulation, and Experiment?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Axel van de Walle, Gautam Ghosh, Mark Asta (auth.), Guillermo Bozzolo, Ronadl D. Noebe, Phillip B. Abel, D.R. Vij (eds.)
Publisher
Springer Science+Business Media, LLC : Springer e-books
Published
2007
Language
EN
ISBN
9780387231174
Category
nonfiction
Subjects
Computer Science, Science, Technology

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