Computational Nanoscience, Lecture 10: Brief Review, Kinetic Monte Carlo, and Random Numbers
| Category | Teaching Materials |
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| Abstract | We conclude our discussion of Monte Carlo methods with a brief review of the concepts covered in the three previous lectures. Then, the Kinetic Monte Carlo method is introduced, including discussions of Transition State Theory and basic KMC algorithms. A simulation of vacancy-mediated diffusion is provided as an example of KMC. Finally, a brief primer on random number generation is presented. |
| Credits | University of California, Berkeley |
| Cite this work | Researchers should cite this work as follows:
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