Böcker i Series in Computational Physics-serien

This book provides an accessible introduction to thermal physics with computational approaches that complement the traditional mathematical treatments of classical thermodynamics and statistical mechanics.

In a condensed matter laboratory, visualization is especially useful in cases where it is possible to observe the interior of samples non-destructively. However, tools for visualizing surfaces and fields in engineering are often unsuitable. This book provides a complete guide to the application of visualization and other computational techniques in condensed matter physics and materials science research. It emphasizes three-dimensional visualization techniques and animation in condensed matter, statistical physics, computational physics, quantum mechanics, and optics. The text takes gives a truly hands-on approach, explaining techniques step by step with simple, representative examples.

This book provides an in-depth introduction to molecular dynamics (MD) simulation, the basis for computational study of complex atomic and molecular systems. The author clarifies the role of different variables and sequences throughout, avoids excessive mathematical detail, emphasizes graphical representations, and highlights illustrative applications in materials science, biology, and biochemistry. The text also presents tips for speeding up calculations and parallelization techniques based on OpenMP. The final section offers hands-on training to open-source MD codes (NAMD) and associated post-processing.

Useful and practical advice to aid those contemplating charging for the first time.Covers topics such as market research, user consultation and input, costing and pricing, legal liability, manuals of procedures, terms of business, budgetary control, marketing. Includes case studies.

This book introduces numerical programming using Python and C/C++, emphasizing methods used in physics and engineering. It helps readers develop the ability to navigate relevant algorithms, knowledge of coding design, and efficient scientific programming skills. It requires minimal background in mathematics, leading readers from elementary methods to complex algorithms useful in modern programming. It incorporates examples and real code throughout, as well as problem sets, to facilitate a hands-on learning experience.