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Computational nanoscience : applications for molecules, clusters, and solids / Kálmán Varga and Joseph A. Driscoll.

By: Contributor(s): Material type: TextTextPublication details: Cambridge, UK ; New York : Cambridge University Press, 2011.Description: 1 online resource (xii, 431 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781139065627
  • 1139065629
  • 9781139078214
  • 1139078216
  • 9781139080507
  • 1139080504
  • 9780511736230
  • 0511736231
  • 184973268X
  • 9781849732680
Subject(s): Genre/Form: Additional physical formats: Print version:: Computational nanoscience.DDC classification:
  • 530.0285 22
LOC classification:
  • QC176.8.N35 V37 2011
Other classification:
  • SCI040000
Online resources:
Contents:
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 one dimension -- 5. Solution of time-dependent problems in quantum mechanics -- 6. Solution of Poisson's equation -- 7. Three-dimensional real-space approach: from quantum dots to Bose-Einstein condensates -- 8. Variational calculations in two dimensions: quantum dots -- 9. Variational calculations in three dimensions: 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.
Summary: "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"-- Provided by publisher
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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"-- Provided by publisher

Includes bibliographical references and index.

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 one dimension -- 5. Solution of time-dependent problems in quantum mechanics -- 6. Solution of Poisson's equation -- 7. Three-dimensional real-space approach: from quantum dots to Bose-Einstein condensates -- 8. Variational calculations in two dimensions: quantum dots -- 9. Variational calculations in three dimensions: 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.

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