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Autor(en): 
  • Martin O. Steinhauser
  • Computational Multiscale Modeling of Fluids and Solids: Theory and Applications in Computational Science 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Vorankündigung
    Veröffentlichung:  ANGEKÜNDIGT (Oktober 2026)  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Atomistic-Scale Computational Methods / Cahn-Hilliard Theory Mesoscale Simulation / Computational Materials Science / Computational Mathematics and Numerical Analysis / Computational Physics Examples / Density Functional Theory Liquids / Density Functional Theory Solids / Electronic-Scale Computational Methods
    ISBN:  9783032255396 
    EAN-Code: 
    9783032255396 
    Verlag:  Springer International Publishing 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  732 
    Illustration:  XX, 712 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Keine Bewertung vor Veröffentlichung möglich.
    Inhalt:
    This book covers the principles and applications of computational multiscale modeling of fluids and solids. It explores the physics across various length and timescales, introducing fundamental concepts in fluid and solid mechanics, and the objectives of experimental and theoretical physics. With detailed discussions on numerical methods, statistical physics, thermodynamics, and the theory of elasticity, this book integrates theoretical background with practical computational examples. Designed for advanced students and professionals, the book includes computational exercises and projects, supported by source code available within the text and for download.

    This edition contains several significant updates and expansions. It now features standalone chapters on molecular dynamics simulations and on the Monte Carlo method, both enriched with new applications and examples. The treatment of hypervelocity impact and shock-related applications has also been expanded and is integrated into the broader multiscale discussion of the book, including particle-based space-debris impact scenarios. In addition, a thorough introduction to quantum mechanics is presented, including exercises and source code examples such as the numerical solution of the Schrödinger equation. The computer science material has been expanded into a full chapter, offering a comprehensive introduction to theoretical computer science. Furthermore, the mathematical background has been revised and enlarged to include differential forms, enhancing the understanding of space in physics. Updated references, new exercises, case studies, and repository-supported C/C++ code examples make this book even more valuable for academic use.

      



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