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Computational Nanoscience, Lecture 20: Quantum Monte Carlo, part I
15 May 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman
This lecture provides and introduction to Quantum Monte Carlo methods. We review the concept of electron correlation and introduce Variational Monte Carlo methods as an approach to going beyond the mean field approximation. We describe briefly the Slater-Jastrow expansion of the wavefunction, and …
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Computational Nanoscience, Lecture 21: Quantum Monte Carlo, part II
15 May 2008 | Teaching Materials | Contributor(s): Jeffrey C Grossman, Elif Ertekin
This is our second lecture in a series on Quantum Monte Carlo methods. We describe the Diffusion Monte Carlo approach here, in which the approximation to the solution is not restricted by choice of a functional form for the wavefunction. The DMC approach is explained, and the fixed node …
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Computational Nanoscience, Pop-Quiz
15 May 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman
This quiz summarizes the most important concepts which have covered in class so far related to Molecular Dynamics, Classical Monte Carlo Methods, and Quantum Mechanical Methods.University of California, Berkeley
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Computational Nanoscience, Pop-Quiz Solutions
15 May 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman
The solutions to the pop-quiz are given in this handout.University of California, Berkeley
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Computational Nanoscience, Lecture 23: Modeling Morphological Evolution
15 May 2008 | Teaching Materials | Contributor(s): Elif Ertekin, Jeffrey C Grossman
In this lecture, we present an introduction to modeling the morphological evolution of materials systems. We introduce concepts of coarsening, particle-size distributions, the Lifshitz-Slyozov-Wagner model, thin film growth modes (Layer-by-Layer, Island growth, and Stranski-Krastanov), and …
