Overview
- Presents a comprehensive overview of computational methods used in multiscale materials modelling
- 3rd edition includes new sections on polymer physics, statistical physics, and smooth particle hydrodynamics
- Each chapter now first provides an overview of the key topics covered, with a new “key points” section at the end
Part of the book series: Graduate Texts in Physics (GTP)
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Table of contents (8 chapters)
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Front Matter
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Computational Methods on Multiscales
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Front Matter
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Back Matter
Keywords
- Aerodynamics Simulation
- Atmosphere Dynamics
- Atmosphere Simulation
- Hydrodynamics Simulation
- Interatomic Dynamics
- Interatomic Simulation
- Molecular Dynamics
- Molecular Simulation
- Multiscale Simulation Physics
- Numerics Numerical Simulation
- Ocean Dynamics
- Ocean Simulation
- Shock Wave Dynamics
- Tensor Analysis and Continuum Mechanics
About this book
The expanded 3rd edition of this established textbook offers an updated overview and review of the computational physics techniques used in materials modelling over different length and time scales. It describes in detail the theory and application of some of the most important methods used to simulate materials across the various levels of spatial and temporal resolution. Quantum mechanical methods such as the Hartree-Fock approximation for solving the Schrödinger equation at the smallest spatial resolution are discussed as well as the Molecular Dynamics and Monte-Carlo methods on the micro- and meso-scale up to macroscopic methods used predominantly in the Engineering world such as Finite Elements (FE) or Smoothed Particle Hydrodynamics (SPH).
Extensively updated throughout, this new edition includes additional sections on polymer theory, statistical physics and continuum theory, the latter being the basis of FE methods and SPH. Each chapter now first provides an overview ofthe key topics covered, with a new “key points” section at the end. The book is aimed at beginning or advanced graduate students who want to enter the field of computational science on multi-scales. It provides an in-depth overview of the basic physical, mathematical and numerical principles for modelling solids and fluids on the micro-, meso-, and macro-scale. With a set of exercises, selected solutions and several case studies, it is a suitable book for students in physics, engineering, and materials science, and a practical reference resource for those already using materials modelling and computational methods in their research.Authors and Affiliations
About the author
Bibliographic Information
Book Title: Computational Multiscale Modeling of Fluids and Solids
Book Subtitle: Theory and Applications
Authors: Martin Oliver Steinhauser
Series Title: Graduate Texts in Physics
DOI: https://doi.org/10.1007/978-3-030-98954-5
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-98953-8Published: 29 July 2022
Softcover ISBN: 978-3-030-98956-9Published: 29 July 2023
eBook ISBN: 978-3-030-98954-5Published: 28 July 2022
Series ISSN: 1868-4513
Series E-ISSN: 1868-4521
Edition Number: 3
Number of Pages: XXVII, 432
Number of Illustrations: 90 b/w illustrations, 55 illustrations in colour
Topics: Numerical and Computational Physics, Simulation, Characterization and Evaluation of Materials, Computational Mathematics and Numerical Analysis, Mathematical and Computational Engineering, Geophysics and Environmental Physics