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Computer simulation is an indispensable research tool in modeling, understanding and predicting nanoscale phenomena. However, the advanced computer codes used by researchers are too complicated for graduate students wanting to understand computer simulations of physical systems. This book gives students the tools to develop their own codes. Describing advanced algorithms, the book is ideal for students in computational physics, quantum mechanics, atomic and molecular physics, and condensed matter theory. It contains a wide variety of practical examples of varying complexity to help readers at all levels of experience. An algorithm library in Fortran 90, available online at www.cambridge.org/9781107001701, implements the advanced computational approaches described in the text to solve physical problems.Read more
- Gives students the tools needed to understand advanced computer codes and develop their own codes
- Contains a wide variety of practical examples of varying complexity to help readers at all levels of experience
- An algorithm library in Fortran 90, available at www.cambridge.org/9781107001701, gives readers the necessary software tools
06th Jul 2019 by Songzhigang
very well this book. I love it. It solved my problem and teach me How to sovle numerical problem
Review was not posted due to profanity×
- Date Published: May 2011
- format: Hardback
- isbn: 9781107001701
- length: 444 pages
- dimensions: 254 x 181 x 25 mm
- weight: 1.01kg
- contains: 175 b/w illus. 33 tables
- availability: In stock
Table of Contents
Part I. 1D Problems:
1. Variational solution of the Schrödinger equation
2. Solution of bound state problems using a grid
3. Solution of the Schrödinger equation for scattering states
4. Periodic potentials: band structure in 1D
5. Solution of time-dependent problems in quantum mechanics
6. Solution of Poisson's equation
Part II. 2D and 3D Systems:
7. 3D real space approach: from quantum dots to Bose–Einstein condensates
8. Variational calculations in 2D: quantum dots
9. Variational calculations in 3D: atoms and molecules
10. Monte Carlo calculations
11. Molecular dynamics simulations
12. Tight binding approach to electronic structure calculations
13. Plane wave density functional calculations
14. Density functional calculations with atomic orbitals
15. Real-space density functional calculations
16. Time-dependent density functional calculations
17. Scattering and transport in nanostructures
18. Numerical linear algebra
Appendix: code descriptions
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