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Martin Oliver Steinhauser deals with several aspects of multiscale materials modeling and simulation in applied materials research and fundamental science. He covers various multiscale modeling approaches for high-performance ceramics, biological bilayer membranes, semi-flexible polymers, and human cancer cells. He demonstrates that the physics of shock waves, i.e., the investigation of material behavior at high strain rates and of material failure, has grown to become an important interdisciplinary field of research on its own. At the same time, progress in computer hardware and software development has boosted new ideas in multiscale modeling and simulation. Hence, bridging the length and time scales in a theoretical-numerical description of materials has become a prime challenge in science and technology. Contents Definition of Shock Waves Multiscale Modeling and Simulation in Hard Matter Shock Wave Failure in Granular Materials Coarse-Grained Modeling and Simulation of Macromolecules Laser-Induced Shock Wave Failure in Human Cancer Cells The Future of Multiscale Materials Modeling Target Groups Researchers and students in the fields of (bio-)physics, computational science, materials engineering, materials science, computer science, polymer chemistry, theoretical chemistry, nanoscience Material scientists, engineers The Author Dr. Martin O. Steinhauser works as Senior Scientist and Principal Investigator at the Fraunhofer Institute for High-Speed Dynamics/Ernst-Mach-Institut (EMI) in Freiburg, Germany. .

Fracture mechanics --- Shock waves. --- Multiscale modeling. --- Mathematical models. --- Medicine. --- Cancer research. --- Chemoinformatics. --- Biomedicine. --- Cancer Research. --- Computer Applications in Chemistry. --- Numerical and Computational Physics, Simulation. --- Multi-scale modeling --- Multiscale models --- Mathematical models --- Multivariate analysis --- Shock (Mechanics) --- Waves --- Oncology. --- Chemistry. --- Physical sciences --- Tumors --- Physics. --- Natural philosophy --- Philosophy, Natural --- Dynamics --- Chemical informatics --- Chemiinformatics --- Chemoinformatics --- Chemistry informatics --- Chemistry --- Information science --- Computational chemistry --- Cancer research --- Data processing

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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.

Mathematics --- Physics --- Surface chemistry --- Geophysics --- Materials sciences --- Applied physical engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- materiaalkennis --- oppervlakte-onderzoek --- economie --- informatica --- simulaties --- externe fixatie (geneeskunde --- wiskunde --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- fysica --- geofysica --- Physics. --- Materials science. --- Computer mathematics. --- Applied mathematics. --- Engineering mathematics. --- Geophysics. --- Numerical and Computational Physics, Simulation. --- Characterization and Evaluation of Materials. --- Computational Mathematics and Numerical Analysis. --- Mathematical and Computational Engineering. --- Geophysics and Environmental Physics. --- Engineering --- Engineering analysis --- Mathematical analysis --- Geological physics --- Terrestrial physics --- Earth sciences --- Computer mathematics --- Electronic data processing --- Material science --- Physical sciences --- Natural philosophy --- Philosophy, Natural --- Dynamics

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Mathematical physics --- Classical mechanics. Field theory --- Thermodynamics --- Physics --- Physicochemistry --- thermodynamica --- toegepaste wetenschappen --- wiskunde --- fysica --- mechanica --- fysicochemie

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Martin Oliver Steinhauser deals with several aspects of multiscale materials modeling and simulation in applied materials research and fundamental science. He covers various multiscale modeling approaches for high-performance ceramics, biological bilayer membranes, semi-flexible polymers, and human cancer cells. He demonstrates that the physics of shock waves, i.e., the investigation of material behavior at high strain rates and of material failure, has grown to become an important interdisciplinary field of research on its own. At the same time, progress in computer hardware and software development has boosted new ideas in multiscale modeling and simulation. Hence, bridging the length and time scales in a theoretical-numerical description of materials has become a prime challenge in science and technology. Contents Definition of Shock Waves Multiscale Modeling and Simulation in Hard Matter Shock Wave Failure in Granular Materials Coarse-Grained Modeling and Simulation of Macromolecules Laser-Induced Shock Wave Failure in Human Cancer Cells The Future of Multiscale Materials Modeling Target Groups Researchers and students in the fields of (bio-)physics, computational science, materials engineering, materials science, computer science, polymer chemistry, theoretical chemistry, nanoscience Material scientists, engineers The Author Dr. Martin O. Steinhauser works as Senior Scientist and Principal Investigator at the Fraunhofer Institute for High-Speed Dynamics/Ernst-Mach-Institut (EMI) in Freiburg, Germany. .

Physics --- Chemistry --- Oncology. Neoplasms --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- chemie --- informatica --- oncologie --- simulaties --- fysica --- polymeren

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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 of the 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.

Fluids --- Solids --- Mathematical models. --- Solid state physics --- Transparent solids --- Hydraulics --- Mechanics --- Physics --- Hydrostatics --- Permeability --- Mathematical physics. --- Materials --- Mathematics --- Engineering mathematics. --- Engineering --- Geology. --- Theoretical, Mathematical and Computational Physics. --- Characterization and Analytical Technique. --- Computational Mathematics and Numerical Analysis. --- Mathematical and Computational Engineering Applications. --- Analysis. --- Data processing. --- Geognosy --- Geoscience --- Earth sciences --- Natural history --- Engineering analysis --- Mathematical analysis --- Physical mathematics