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Titlebook: Computational Multiscale Modeling of Fluids and Solids; Theory and Applicati Martin Oliver Steinhauser Book 20081st edition Springer-Verlag

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书目名称Computational Multiscale Modeling of Fluids and Solids
副标题Theory and Applicati
编辑Martin Oliver Steinhauser
视频videohttp://file.papertrans.cn/233/232852/232852.mp4
概述First book on methods and numerical techniques on multiscales in a concise way.Recent applications.Includes supplementary material:
图书封面Titlebook: Computational Multiscale Modeling of Fluids and Solids; Theory and Applicati Martin Oliver Steinhauser Book 20081st edition Springer-Verlag
描述.The idea of the book is to provide a comprehensive overview of computational physics methods and techniques, that are used for materials modeling on different length and time scales. Each chapter first provides an overview of the physical basic principles which are the basis for the numerical and mathematical modeling on the respective length-scale. ..The book includes the micro-scale, the meso-scale and the macro-scale. The chapters follow this classification. The book will explain in detail many tricks of the trade of some of the most important methods and techniques that are used to simulate materials on the perspective levels of spatial and temporal resolution. Case studies are occasionally included to further illustrate some methods or theoretical considerations. Example applications for all techniques are provided, some of which are from the author’s own contributions to some of the research areas. Methods are explained, if possible, on the basis of the original publications but also references to standard text books established in the various fields are mentioned..
出版日期Book 20081st edition
关键词Hydrodynamics; Mechanics (of Materials); Molecular Dynamics; Numerics, Numerical Simulation; Polymer Phy
版次1
doihttps://doi.org/10.1007/978-3-540-75117-5
isbn_softcover978-3-642-09440-8
isbn_ebook978-3-540-75117-5
copyrightSpringer-Verlag Berlin Heidelberg 2008
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发表于 2025-3-21 21:28:34 | 显示全部楼层
https://doi.org/10.1007/978-3-642-95592-1repeated experiments and average the results, i.e one has to assume probability distributions for the measured macroscopic observables. If one performs . independent measurements of some observable ., the mean value is computed as . All experiments therefore measure . properties and in order to bene
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Computational Multiscale Modeling of Fluids and Solids978-3-540-75117-5
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a of the book is to provide a comprehensive overview of computational physics methods and techniques, that are used for materials modeling on different length and time scales. Each chapter first provides an overview of the physical basic principles which are the basis for the numerical and mathemati
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Superconducting Quantum Electronics differential equations in fluid or solid mechanics, Γ-space in thermodynamics, non-Euclidean curved space-time in the theory of general relativity, Minkowski space in the special theory of relativity, and so on.
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COHERENCE AND THE FLUX QUANTUM,rom the macroscopic world. One of the first breakthrough examples of multiscale modeling of materials was the linking of quantum and classical MD method with continuum methods to study crack propagation in silicon by Abraham et al. [40].
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Introductioneories. In doing so we focus on the fluid and solid states of matter, albeit the numerical methods are usually neither restricted to any particular phase of matter nor to any particular intrinsic length scale.
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