Computational Multiscale Modeling of Fluids and Solids: Theory and Applications

✍ Scribed by Martin Oliver Steinhauser (auth.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2017
• Tongue: English
• Leaves: 419
• Edition: 2
• Category: Library

✦ Synopsis

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 on meso/macroscopic scales for ocean and atmosphere dynamics. Numerous applications in environmental physics and geophysics had been added.

✦ Table of Contents

Front Matter....Pages i-xxiii
Front Matter....Pages 1-1
Introduction....Pages 3-28
Multiscale Computational Materials Science....Pages 29-108
Mathematical and Physical Prerequisites....Pages 109-173
Fundamentals of Numerical Simulation....Pages 175-212
Front Matter....Pages 213-214
Computational Methods on Electronic/Atomistic Scale....Pages 215-255
Computational Methods on Atomistic/Microscopic Scale....Pages 257-312
Computational Methods on Mesoscopic/Macroscopic Scale....Pages 313-360
Perspectives in Multiscale Materials Modeling....Pages 361-363
Back Matter....Pages 365-405

✦ Subjects

Numerical and Computational Physics, Simulation;Characterization and Evaluation of Materials;Computational Mathematics and Numerical Analysis;Appl.Mathematics/Computational Methods of Engineering;Geophysics and Environmental Physics