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Titlebook: Computational Multiscale Modeling of Fluids and Solids; Theory and Applicati Martin Oliver Steinhauser Book 20172nd edition Springer-Verlag

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書目名稱Computational Multiscale Modeling of Fluids and Solids
副標(biāo)題Theory and Applicati
編輯Martin Oliver Steinhauser
視頻videohttp://file.papertrans.cn/233/232851/232851.mp4
概述A concise treatise on the methods and numerical techniques in multiscale modeling.Offers a new focus on scales relevant for environmental sciences.Includes new sections on computational models on meso
圖書封面Titlebook: Computational Multiscale Modeling of Fluids and Solids; Theory and Applicati Martin Oliver Steinhauser Book 20172nd 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 basic physical?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, and the chapters follow this classification. The book?explains 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 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. .The second edition has been expanded by new sections in computational models onmeso/macroscopic scales for ocean and atmosphere dynamics. Numerous applications in environmental physics and geophysics had been added.
出版日期Book 20172nd edition
關(guān)鍵詞Aerodynamics Simulation; Atmosphere Dynamics; Atmosphere Simulation; Hydrodynamics Simulation; Interatom
版次2
doihttps://doi.org/10.1007/978-3-662-53224-9
isbn_ebook978-3-662-53224-9
copyrightSpringer-Verlag Berlin Heidelberg 2017
The information of publication is updating

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Multiscale Computational Materials Science the consequences thereof. In Sects.?.–. we focus on clarifying some terminology in computational multiscale modeling and learn about the concepts of “models” in science. Section?. focuses on hierarchical modeling concepts in classical and quantum physics which is followed by discussing the standard
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Mathematical and Physical Prerequisiteshysical and mathematical theories. All theory is usually formulated by using objects with certain algebraic properties that are embedded in a particular concept of “space”. Then, in Sect.?., starting from a fundamental discussion of the properties of sets we define the concept of a function, a commu
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Perspectives in Multiscale Materials Modelingale modeling is to find designed solutions for each individual problem to be solved. There are no real standard procedures that can be applied for any model on any scale. This has to do with the structural complexity of systems on different length scales, but also with the artificial human separatio
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https://doi.org/10.1007/978-3-031-34773-3the nuts and bolts of which are discussed in detail in Sect.?.. Here, we provide many tricks of the trade of this method. A discussion of liquids, soft matter and polymers in Sect.?. is then followed by a short discussion of the Monte Carlo method in Sect.?.. A couple of problems are provided at the end of this chapter.
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