04436nam 22007095 450 991058577140332120230810174939.09783030989545(electronic bk.)978303098953810.1007/978-3-030-98954-5(MiAaPQ)EBC7054540(Au-PeEL)EBL7054540(CKB)24286844200041(DE-He213)978-3-030-98954-5(PPN)263898539(EXLCZ)992428684420004120220728d2022 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierComputational Multiscale Modeling of Fluids and Solids Theory and Applications /by Martin Oliver Steinhauser3rd ed. 2022.Cham :Springer International Publishing :Imprint: Springer,2022.1 online resource (450 pages)Graduate Texts in Physics,1868-4521Print version: Steinhauser, Martin Oliver Computational Multiscale Modeling of Fluids and Solids Cham : Springer International Publishing AG,c2022 9783030989538 Introduction to Multiscale Modeling -- Multiscale Computational Materials Science -- Mathematical and Physical Prerequisites -- Fundamentals of Numerical Simulation -- Computational Methods on Electronic/Atomistic Scale.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.Graduate Texts in Physics,1868-4521Mathematical physicsMaterialsAnalysisMathematicsData processingEngineering mathematicsEngineeringData processingGeologyTheoretical, Mathematical and Computational PhysicsCharacterization and Analytical TechniqueComputational Mathematics and Numerical AnalysisMathematical and Computational Engineering ApplicationsGeologyMathematical physics.MaterialsAnalysis.MathematicsData processing.Engineering mathematics.EngineeringData processing.Geology.Theoretical, Mathematical and Computational Physics.Characterization and Analytical Technique.Computational Mathematics and Numerical Analysis.Mathematical and Computational Engineering Applications.Geology.532532.0015118Steinhauser M. O(Martin Oliver),916045MiAaPQMiAaPQMiAaPQ9910585771403321Computational Multiscale Modeling of Fluids and Solids2053553UNINA