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1 Yang, Yan Energy Transfer and Dissipation in Plasma Turbulence I09298 2019 eBook  
2 Moruzzi, Giovanni Essential Python for the Physicist I09211 2020 eBook  
3 Collins, Michael D Parabolic Wave Equations with Applications I09193 2019 eBook  
4 Baral, Suman Thomas-Fermi Model for Mesons and Noise Subtraction Techniques in Lattice QCD I09190 2019 eBook  
5 Rother, Tom Sound Scattering on Spherical Objects I09092 2020 eBook  
6 Kitamura, Keiichi Advancement of Shock Capturing Computational Fluid Dynamics Methods I09025 2020 eBook  
7 ??chsner, Andreas Computational Statics and Dynamics I08994 2020 eBook  
8 Iaizzi, Adam Magnetic Field Effects in Low-Dimensional Quantum Magnets I08963 2018 eBook  
9 Lookman, Turab Materials Discovery and Design I08650 2018 eBook  
10 Milstein, Grigori Noah Stochastic Numerics for Mathematical Physics I11424 2004 eBook  
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TitleEnergy Transfer and Dissipation in Plasma Turbulence : From Compressible MHD to Collisionless Plasma
Author(s)Yang, Yan
PublicationSingapore, 1. Imprint: Springer 2. Springer Singapore, 2019.
DescriptionXIX, 134 p. 55 illus., 52 illus. in color : online resource
Abstract NoteThis book revisits the long-standing puzzle of cross-scale energy transfer and dissipation in plasma turbulence and introduces new perspectives based on both magnetohydrodynamic (MHD) and Vlasov models. The classical energy cascade scenario is key in explaining the heating of corona and solar wind. By employing a high-resolution hybrid (compact finite difference & WENO) scheme, the book studies the features of compressible MHD cascade in detail, for example, in order to approximate a real plasma cascade as ???Kolmogorov-like??? and to understand features that go beyond the usual simplified theories based on incompressible models. When approaching kinetic scales where plasma effects must be considered, it uses an elementary analysis of the Vlasov???Maxwell equations to help identify the channels through which energy transfer must be dissipated. In addition, it shows that the pressure???strain interaction is of great significance in producing internal energy. This analysis, in contrast to many other recent studies, does not make assumptions about wave-modes, instability or other specific mechanisms responsible for the dynamics ??? the results are direct consequences of the Vlasov???Maxwell system of equations. This is an important step toward understanding dissipation in turbulent collisionless plasma in space and astrophysics
ISBN,Price9789811381492
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. Engineering Fluid Dynamics 4. FLUID MECHANICS 5. NUMERICAL ANALYSIS 6. PLASMA (IONIZED GASES) 7. PLASMA PHYSICS
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TitleEssential Python for the Physicist
Author(s)Moruzzi, Giovanni
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionX, 302 p. 111 illus., 62 illus. in color : online resource
Abstract NoteThis book introduces the reader with little or no previous computer-programming experience to the Python programming language of interest for a physicist or a natural-sciences student. The book starts with basic interactive Python in order to acquire an introductory familiarity with the language, than tackle Python scripts (programs) of increasing complexity, that the reader is invited to run on her/his computer. All program listings are discussed in detail, and the reader is invited to experiment on what happens if some code lines are modified. The reader is introduced to Matplotlib graphics for the generation of figures representing data and function plots and, for instance, field lines. Animated function plots are also considered. A chapter is dedicated to the numerical solution of algebraic and transcendental equations, the basic mathematical principles are discussed and the available Python tools for the solution are presented. A further chapter is dedicated to the numerical solution of ordinary differential equations. This is of vital importance for the physicist, since differential equations are at the base of both classical physics (Newton???s equations) and quantum mechanics (Schroedinger???s equation). The shooting method for the numerical solution of ordinary differential equations with boundary conditions at two boundaries is also presented. Python programs for the solution of two quantum-mechanics problems are discussed as examples. Two chapters are dedicated to Tkinter graphics, which gives the user more freedom than Matplotlib, and to Tkinter animation. Programs displaying the animation of physical problems involving the solution of ordinary differential equations (for which in most cases there is no algebraic solution) in real time are presented and discussed. Finally, 3D animation is presented with Vpython
ISBN,Price9783030450274
Keyword(s)1. COMPUTER GRAPHICS 2. COMPUTER PROGRAMMING 3. EBOOK 4. EBOOK - SPRINGER 5. Numeric Computing 6. NUMERICAL ANALYSIS 7. Numerical and Computational Physics, Simulation 8. PHYSICS 9. Programming Techniques
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TitleParabolic Wave Equations with Applications
Author(s)Collins, Michael D;Siegmann, William L
PublicationNew York, NY, 1. Imprint: Springer 2. Springer New York, 2019.
DescriptionIX, 135 p. 74 illus., 37 illus. in color : online resource
Abstract NoteThis book introduces parabolic wave equations, their key methods of numerical solution, and applications in seismology and ocean acoustics. The parabolic equation method provides an appealing combination of accuracy and efficiency for many nonseparable wave propagation problems in geophysics. While the parabolic equation method was pioneered in the 1940s by Leontovich and Fock who applied it to radio wave propagation in the atmosphere, it thrived in the 1970s due to its usefulness in seismology and ocean acoustics. The book covers progress made following the parabolic equation???s ascendancy in geophysics. It begins with the necessary preliminaries on the elliptic wave equation and its analysis from which the parabolic wave equation is derived and introduced. Subsequently, the authors demonstrate the use of rational approximation techniques, the Pad?? solution in particular, to find numerical solutions to the energy-conserving parabolic equation, three-dimensional parabolic equations, and horizontal wave equations. The rest of the book demonstrates applications to seismology, ocean acoustics, and beyond, with coverage of elastic waves, sloping interfaces and boundaries, acousto-gravity waves, and waves in poro-elastic media. Overall, it will be of use to students and researchers in wave propagation, ocean acoustics, geophysical sciences and more
ISBN,Price9781493999347
Keyword(s)1. ACOUSTICS 2. EBOOK 3. EBOOK - SPRINGER 4. GEOPHYSICS 5. Geophysics/Geodesy 6. NUMERICAL ANALYSIS 7. OCEANOGRAPHY 8. PARTIAL DIFFERENTIAL EQUATIONS
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TitleThomas-Fermi Model for Mesons and Noise Subtraction Techniques in Lattice QCD
Author(s)Baral, Suman
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2019.
DescriptionIX, 72 p. 39 illus., 28 illus. in color : online resource
Abstract NoteThis thesis make significant contributions to both the numerical and analytical aspects of particle physics, reducing the noise associated with matrix calculations in quantum chromodynamics (QCD) and modeling multi-quark mesonic matters that could be used to investigate particles previously unseen in nature. Several methods are developed that can reduce the statistical uncertainty in the extraction of hard-to-detect lattice QCD signals from disconnected diagrams. The most promising technique beats competing methods by 1700 percent, leading to a potential decrease in the computation time of quark loop quantities by an order of magnitude. This not only increases efficiency but also works for QCD matrices with almost-zero eigenvalues, a region where most QCD algorithms break down. This thesis also develops analytical solutions used to investigate exotic particles, specifically the Thomas-Fermi quark model, giving insight into possible new states formed from mesonic matter. The main benefit of this model is that it can work for a large number of quarks which is currently almost impossible with lattice QCD. Patterns of single-quark energies are observed which give the first a priori indication that stable octa-quark and hexadeca-quark versions of the charmed and bottom Z-meson exist
ISBN,Price9783030309046
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. Elementary particles (Physics) 4. Elementary Particles, Quantum Field Theory 5. NUMERICAL ANALYSIS 6. Numerical and Computational Physics, Simulation 7. PHYSICS 8. Quantum Field Theories, String Theory 9. QUANTUM FIELD THEORY 10. STRING THEORY
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TitleSound Scattering on Spherical Objects
Author(s)Rother, Tom
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2020.
DescriptionVIII, 262 p. 244 illus : online resource
Abstract NoteThis book introduces readers to scattering from a practical/numerical point of view. The focus is on basic aspects like single scattering, multiple scattering, and whether inhomogeneous boundary conditions or inhomogeneous scatterers have to be taken into account. The powerful T-matrix approach is explained in detail and used throughout the book, and iterative solution methods are discussed. In addition, the book addresses appropriate criteria for estimating the accuracy of numerical results, as well as their importance for practical applications. Python code is provided with each chapter, and can be freely used and modified by readers. Moreover, numerous scattering results for different configurations are provided for benchmarking purposes. The book will be particularly valuable for those readers who plan to develop their own scattering code, and wish to test the correct numerical implementation of the underlying mathematics
ISBN,Price9783030364489
Keyword(s)1. ACOUSTICS 2. ASTROPHYSICS 3. Astrophysics and Astroparticles 4. Computational Science and Engineering 5. Computer mathematics 6. EBOOK 7. EBOOK - SPRINGER 8. Elementary particles (Physics) 9. Elementary Particles, Quantum Field Theory 10. NUMERICAL ANALYSIS 11. Numerical and Computational Physics, Simulation 12. PHYSICS 13. QUANTUM FIELD THEORY
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TitleAdvancement of Shock Capturing Computational Fluid Dynamics Methods : Numerical Flux Functions in Finite Volume Method
Author(s)Kitamura, Keiichi
PublicationSingapore, 1. Imprint: Springer 2. Springer Singapore, 2020.
DescriptionXI, 136 p. 52 illus., 13 illus. in color : online resource
Abstract NoteThis book offers a compact primer on advanced numerical flux functions in computational fluid dynamics (CFD). It comprehensively introduces readers to methods used at the forefront of compressible flow simulation research. Further, it provides a comparative evaluation of the methods discussed, helping readers select the best numerical flux function for their specific needs. The first two chapters of the book reviews finite volume methods and numerical functions, before discussing issues commonly encountered in connection with each. The third and fourth chapter, respectively, address numerical flux functions for ideal gases and more complex fluid flow cases??? multiphase flows, supercritical fluids and magnetohydrodynamics. In closing, the book highlights methods that provide high levels of accuracy. The concise content provides an overview of recent advances in CFD methods for shockwaves. Further, it presents the author???s insights into the advantages and disadvantages of each method, helping readers implement the numerical methods in their own research
ISBN,Price9789811590115
Keyword(s)1. CLASSICAL MECHANICS 2. Computational Science and Engineering 3. Computer mathematics 4. EBOOK 5. EBOOK - SPRINGER 6. Engineering Fluid Dynamics 7. FLUID MECHANICS 8. Fluid- and Aerodynamics 9. FLUIDS 10. MECHANICS 11. NUMERICAL ANALYSIS 12. Numerical and Computational Physics, Simulation 13. PHYSICS
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TitleComputational Statics and Dynamics : An Introduction Based on the Finite Element Method
Author(s)??chsner, Andreas
PublicationSingapore, 1. Imprint: Springer 2. Springer Singapore, 2020.
DescriptionXXII, 606 p. 339 illus., 175 illus. in color : online resource
Abstract NoteThis book is the 2nd edition of an introduction to modern computational mechanics based on the finite element method. It includes more details on the theory, more exercises, and more consistent notation; in addition, all pictures have been revised. Featuring more than 100 pages of new material, the new edition will help students succeed in mechanics courses by showing them how to apply the fundamental knowledge they gained in the first years of their engineering education to more advanced topics. In order to deepen readers??? understanding of the equations and theories discussed, each chapter also includes supplementary problems. These problems start with fundamental knowledge questions on the theory presented in the respective chapter, followed by calculation problems. In total, over 80 such calculation problems are provided, along with brief solutions for each. This book is especially designed to meet the needs of Australian students, reviewing the mathematics covered in their first two years at university. The 13-week course comprises three hours of lectures and two hours of tutorials per week
ISBN,Price9789811512780
Keyword(s)1. CLASSICAL MECHANICS 2. EBOOK 3. EBOOK - SPRINGER 4. MECHANICS 5. Mechanics, Applied 6. Numeric Computing 7. NUMERICAL ANALYSIS 8. Solid Mechanics 9. SOLID STATE PHYSICS
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8.     
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TitleMagnetic Field Effects in Low-Dimensional Quantum Magnets
Author(s)Iaizzi, Adam
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2018.
DescriptionXIX, 156 p. 34 illus., 31 illus. in color : online resource
Abstract NoteThis thesis is a tour-de-force combination of analytic and computational results clarifying and resolving important questions about the nature of quantum phase transitions in one- and two-dimensional magnetic systems. The author presents a comprehensive study of a low-dimensional spin-half quantum antiferromagnet (the J-Q model) in the presence of a magnetic field in both one and two dimensions, demonstrating the causes of metamagnetism in such systems and providing direct evidence of fractionalized excitations near the deconfined quantum critical point. In addition to describing significant new research results, this thesis also provides the non-expert with a clear understanding of the nature and importance of computational physics and its role in condensed matter physics as well as the nature of phase transitions, both classical and quantum. It also contains an elegant and detailed but accessible summary of the methods used in the thesis???exact diagonalization, Monte Carlo, quantum Monte Carlo and the stochastic series expansion???that will serve as a valuable pedagogical introduction to students beginning in this field
ISBN,Price9783030018030
Keyword(s)1. Condensed materials 2. EBOOK 3. EBOOK - SPRINGER 4. MAGNETIC MATERIALS 5. MAGNETISM 6. Magnetism, Magnetic Materials 7. NUMERICAL ANALYSIS 8. Numerical and Computational Physics, Simulation 9. Phase transformations (Statistical physics) 10. Phase transitions (Statistical physics) 11. Phase Transitions and Multiphase Systems 12. PHYSICS 13. Quantum Gases and Condensates
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9.     
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TitleMaterials Discovery and Design : By Means of Data Science and Optimal Learning
Author(s)Lookman, Turab;Eidenbenz, Stephan;Alexander, Frank;Barnes, Cris
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2018.
DescriptionXVI, 256 p. 98 illus., 88 illus. in color : online resource
Abstract NoteThis book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader.
ISBN,Price9783319994659
Keyword(s)1. Characterization and Evaluation of Materials 2. Computational Science and Engineering 3. Computer mathematics 4. DATA MINING 5. Data Mining and Knowledge Discovery 6. EBOOK 7. EBOOK - SPRINGER 8. Engineering???Materials 9. Materials Engineering 10. MATERIALS SCIENCE 11. NUMERICAL ANALYSIS 12. Numerical and Computational Physics, Simulation 13. PHYSICS
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10.    
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TitleStochastic Numerics for Mathematical Physics
Author(s)Milstein, Grigori Noah;Tretyakov, Michael V
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2004.
DescriptionXIX, 596 p : online resource
Abstract NoteStochastic differential equations have many applications in the natural sciences. Besides, the employment of probabilistic representations together with the Monte Carlo technique allows us to reduce solution of multi-dimensional problems for partial differential equations to integration of stochastic equations. This approach leads to powerful computational mathematics that is presented in the treatise. The authors propose many new special schemes, some published here for the first time. In the second part of the book they construct numerical methods for solving complicated problems for partial differential equations occurring in practical applications, both linear and nonlinear. All the methods are presented with proofs and hence founded on rigorous reasoning, thus giving the book textbook potential. An overwhelming majority of the methods are accompanied by the corresponding numerical algorithms which are ready for implementation in practice. The book addresses researchers and graduate students in numerical analysis, physics, chemistry, and engineering as well as mathematical biology and financial mathematics
ISBN,Price9783662100639
Keyword(s)1. Computational Science and Engineering 2. Computer mathematics 3. EBOOK 4. EBOOK - SPRINGER 5. MATHEMATICAL PHYSICS 6. NUMERICAL ANALYSIS 7. Numerical and Computational Physics, Simulation 8. PHYSICS 9. Physics, general 10. PROBABILITIES 11. Probability Theory and Stochastic Processes 12. Theoretical, Mathematical and Computational Physics
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