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Understanding Molecular Simulation

From Algorithms to Applications

Udgivet af Elsevier Science & Technology

Bogdetaljer

  • Hæftet
  • 679 sider
  • Engelsk
ISBN 9780323902922
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Understanding Molecular Simulation explains molecular simulation from a chemical-physics and statistical-mechanics perspective. It highlights how physical concepts are used to develop better algorithms and expand the range of applicability of simulations. Understanding Molecular Simulation is equally relevant for those…

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Bogdetaljer
Forlag Elsevier Science & Technology
Kategori Atom- & Molekylær fysik
ISBN-13 9780323902922
EAN 9780323902922
Format Hæftet
Sprog Engelsk
sider 679
Undertitel - From Algorithms to Applications
Produktbeskrivelse
Understanding Molecular Simulation explains molecular simulation from a chemical-physics and statistical-mechanics perspective. It highlights how physical concepts are used to develop better algorithms and expand the range of applicability of simulations. Understanding Molecular Simulation is equally relevant for those who develop new code and those who use existing packages. Both groups are continuously confronted with the question of which computational technique best suits a given application. Understanding Molecular Simulation provides readers with the foundational knowledge they need to learn about, select and apply the most appropriate of these tools to their own work. The implementation of simulation methods is illustrated in pseudocodes, and their practical use is shown via case studies presented throughout the text. Since the second edition''s publication, the simulation world has expanded significantly: existing techniques have continued to develop, and new ones have emerged, opening up novel application areas. This new edition aims to describe these new developments without becoming exhaustive; examples are included that highlight current uses, and several new examples have been added to illustrate recent applications. Examples, case studies, questions, and downloadable algorithms are also included to support learning. No prior knowledge of computer simulation is assumed.

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