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Author  Title  Accn#  Year  Item Type  Claims 
11 
Yang, Yan 
Energy Transfer and Dissipation in Plasma Turbulence 
I09298 
2019 
eBook 

12 
Moruzzi, Giovanni 
Essential Python for the Physicist 
I09211 
2020 
eBook 

13 
Collins, Michael D 
Parabolic Wave Equations with Applications 
I09193 
2019 
eBook 

14 
Baral, Suman 
ThomasFermi Model for Mesons and Noise Subtraction Techniques in Lattice QCD 
I09190 
2019 
eBook 

15 
Rother, Tom 
Sound Scattering on Spherical Objects 
I09092 
2020 
eBook 

16 
Kitamura, Keiichi 
Advancement of Shock Capturing Computational Fluid Dynamics Methods 
I09025 
2020 
eBook 

17 
??chsner, Andreas 
Computational Statics and Dynamics 
I08994 
2020 
eBook 

18 
Iaizzi, Adam 
Magnetic Field Effects in LowDimensional Quantum Magnets 
I08963 
2018 
eBook 

19 
Lookman, Turab 
Materials Discovery and Design 
I08650 
2018 
eBook 

20 
Milstein, Grigori Noah 
Stochastic Numerics for Mathematical Physics 
I11424 
2004 
eBook 


11.


Title  Energy Transfer and Dissipation in Plasma Turbulence : From Compressible MHD to Collisionless Plasma 
Author(s)  Yang, Yan 
Publication  Singapore, Springer Singapore, 2019. 
Description  XIX, 134 p. 55 illus., 52 illus. in color : online resource 
Abstract Note  This book revisits the longstanding puzzle of crossscale 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 highresolution 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 ???Kolmogorovlike??? 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 wavemodes, 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,Price  9789811381492 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I09298 


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12.


Title  Essential Python for the Physicist 
Author(s)  Moruzzi, Giovanni 
Publication  Cham, Springer International Publishing, 2020. 
Description  X, 302 p. 111 illus., 62 illus. in color : online resource 
Abstract Note  This book introduces the reader with little or no previous computerprogramming experience to the Python programming language of interest for a physicist or a naturalsciences 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 quantummechanics 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,Price  9783030450274 
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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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09211 


On Shelf 




13.


Title  Parabolic Wave Equations with Applications 
Author(s)  Collins, Michael D;Siegmann, William L 
Publication  New York, NY, Springer New York, 2019. 
Description  IX, 135 p. 74 illus., 37 illus. in color : online resource 
Abstract Note  This 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 energyconserving parabolic equation, threedimensional 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, acoustogravity waves, and waves in poroelastic media. Overall, it will be of use to students and researchers in wave propagation, ocean acoustics, geophysical sciences and more 
ISBN,Price  9781493999347 
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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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09193 


On Shelf 




14.


Title  ThomasFermi Model for Mesons and Noise Subtraction Techniques in Lattice QCD 
Author(s)  Baral, Suman 
Publication  Cham, Springer International Publishing, 2019. 
Description  IX, 72 p. 39 illus., 28 illus. in color : online resource 
Abstract Note  This 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 multiquark 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 hardtodetect 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 almostzero eigenvalues, a region where most QCD algorithms break down. This thesis also develops analytical solutions used to investigate exotic particles, specifically the ThomasFermi 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 singlequark energies are observed which give the first a priori indication that stable octaquark and hexadecaquark versions of the charmed and bottom Zmeson exist 
ISBN,Price  9783030309046 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I09190 


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15.


Title  Sound Scattering on Spherical Objects 
Author(s)  Rother, Tom 
Publication  Cham, Springer International Publishing, 2020. 
Description  VIII, 262 p. 244 illus : online resource 
Abstract Note  This 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 Tmatrix 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,Price  9783030364489 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I09092 


On Shelf 




16.


Title  Advancement of Shock Capturing Computational Fluid Dynamics Methods : Numerical Flux Functions in Finite Volume Method 
Author(s)  Kitamura, Keiichi 
Publication  Singapore, Springer Singapore, 2020. 
Description  XI, 136 p. 52 illus., 13 illus. in color : online resource 
Abstract Note  This 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,Price  9789811590115 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I09025 


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17.


Title  Computational Statics and Dynamics : An Introduction Based on the Finite Element Method 
Author(s)  ??chsner, Andreas 
Publication  Singapore, Springer Singapore, 2020. 
Description  XXII, 606 p. 339 illus., 175 illus. in color : online resource 
Abstract Note  This 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 13week course comprises three hours of lectures and two hours of tutorials per week 
ISBN,Price  9789811512780 
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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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I08994 


On Shelf 




18.


Title  Magnetic Field Effects in LowDimensional Quantum Magnets 
Author(s)  Iaizzi, Adam 
Publication  Cham, Springer International Publishing, 2018. 
Description  XIX, 156 p. 34 illus., 31 illus. in color : online resource 
Abstract Note  This thesis is a tourdeforce combination of analytic and computational results clarifying and resolving important questions about the nature of quantum phase transitions in one and twodimensional magnetic systems. The author presents a comprehensive study of a lowdimensional spinhalf quantum antiferromagnet (the JQ 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 nonexpert 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,Price  9783030018030 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I08963 


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19.


Title  Materials Discovery and Design : By Means of Data Science and Optimal Learning 
Author(s)  Lookman, Turab;Eidenbenz, Stephan;Alexander, Frank;Barnes, Cris 
Publication  Cham, Springer International Publishing, 2018. 
Description  XVI, 256 p. 98 illus., 88 illus. in color : online resource 
Abstract Note  This book addresses the current status, challenges and future directions of datadriven 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 (LCLSII), the European Xray 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,Price  9783319994659 
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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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I08650 


On Shelf 




20.
 
Title  Stochastic Numerics for Mathematical Physics 
Author(s)  Milstein, Grigori Noah;Tretyakov, Michael V 
Publication  Berlin, Heidelberg, Springer Berlin Heidelberg, 2004. 
Description  XIX, 596 p : online resource 
Abstract Note  Stochastic 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 multidimensional 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,Price  9783662100639 
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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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11424 


On Shelf 



 