LEADER 04470nam  22006495  450 
001 9910155328003321
005 20200704115202.0
010   $a9783662532249
024 7 $a10.1007/978-3-662-53224-9
035   $a(CKB)3710000000964771
035   $a(DE-He213)978-3-662-53224-9
035   $a(MiAaPQ)EBC4755387
035   $a(PPN)197453279
035   $a(EXLCZ)993710000000964771
100   $a20161201d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aComputational Multiscale Modeling of Fluids and Solids $eTheory and Applications /$fby Martin Oliver Steinhauser
205   $a2nd ed. 2017.
210  1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2017.
215   $a1 online resource (XXIII, 405 p. 139 illus., 34 illus. in color.) 
311   $a3-662-53222-0 
311   $a3-662-53224-7 
320   $aIncludes bibliographical references and index.
327   $aPart I Fundamentals -- Introduction -- Multiscale Computational Materials Science -- Mathematical and Physical Prerequisites -- Fundamentals of Numerical Simulation -- Part II Computational Methods on Multiscales -- Summary of Part I -- Computational Methods on Electronic/Atomistic Scale -- Computational Methods on Atomistic/Microscopic Scale -- Computational Methods on Microscopic/Mesoscopic Scale -- Perspectives in Multiscale Materials Modeling -- Further Reading -- Mathematical Definitions -- Sample code for the main routine of a MD simulation -- A Sample Makefile -- Tables of Physical Constants -- List of Algorithms -- Selected Solutions.
330   $aThe 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.
606   $aPhysics
606   $aMaterials science
606   $aComputer mathematics
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aGeophysics
606   $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021
606   $aCharacterization and Evaluation of Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z17000
606   $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
606   $aGeophysics and Environmental Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P32000
615  0$aPhysics.
615  0$aMaterials science.
615  0$aComputer mathematics.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615  0$aGeophysics.
615 14$aNumerical and Computational Physics, Simulation.
615 24$aCharacterization and Evaluation of Materials.
615 24$aComputational Mathematics and Numerical Analysis.
615 24$aMathematical and Computational Engineering.
615 24$aGeophysics and Environmental Physics.
676   $a530.1
700   $aSteinhauser$b Martin Oliver$4aut$4http://id.loc.gov/vocabulary/relators/aut$0916045
906   $aBOOK
912   $a9910155328003321
996   $aComputational Multiscale Modeling of Fluids and Solids$92053553
997   $aUNINA