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You are here: HomeResourcesTeaching MaterialsComputational Nanoscience, Lecture 4: Geometry Optimization and Seeing What You're DoingAbout

Computational Nanoscience, Lecture 4: Geometry Optimization and Seeing What You're Doing

By Jeffrey C Grossman1, Elif Ertekin2

1. Massachusetts Institute of Technology 2. University of California, Berkeley

Category Teaching Materials
Abstract

In this lecture, we discuss various methods for finding the ground state structure of a given system by minimizing its energy. Derivative and non-derivative methods are discussed, as well as the importance of the starting guess and how to find or generate good initial structures. We also briefly touch on the importance of visualizing your structures and the broad range of file formats for keeping structural data.

Credits Nanoscale Science and Engineering C242/Physics C203
University of California, Berkeley
Cite this work

Researchers should cite this work as follows:

  • Jeffrey C Grossman; Elif Ertekin (2008), "Computational Nanoscience, Lecture 4: Geometry Optimization and Seeing What You're Doing," http://nanohub.org/resources/4035.

    BibTex | EndNote

Tags
  1. ab initio
  2. band structure
  3. buckyballs
  4. carbon nanotubes
  5. chemistry
  6. computational chemistry
  7. computational materials
  8. computational science/engineering
  9. condensed matter
  10. course lecture
  11. material properties
  12. molecular dynamics
  13. molecular orbital
  14. molecular simulations
  15. Monte Carlo
  16. MO theory
  17. Periodic Potential
  18. quantum chemistry
  19. quantum mechanics
  20. quantum Monte Carlo
  21. scientific computing
  22. Simulation
  23. visualization
  24. wavefunction

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