
Computational Nanoscience, Lecture 20: Quantum Monte Carlo, part I
15 May 2008   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 SlaterJastrow expansion of the wavefunction,...

Computational Nanoscience, Lecture 21: Quantum Monte Carlo, part II
15 May 2008   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...

Computational Nanoscience, Lecture 4: Geometry Optimization and Seeing What You're Doing
13 Feb 2008   Contributor(s):: Jeffrey C Grossman, Elif Ertekin
In this lecture, we discuss various methods for finding the ground state structure of a given system by minimizing its energy. Derivative and nonderivative methods are discussed, as well as the importance of the starting guess and how to find or generate good initial structures. We also briefly...

MIT AtomicScale Modeling Toolkit
15 Jan 2008   Contributor(s):: daniel richards, Elif Ertekin, Jeffrey C Grossman, David Strubbe, Justin Riley
Tools for AtomicScale Modeling

Path Integral Monte Carlo
13 Dec 2007   Contributor(s):: John Shumway, Matthew Gilbert
Tool Description

Spin Coupled Quantum Dots
09 Jul 2008   Contributor(s):: John Shumway, Matthew Gilbert
Path integral calculation of exchange coupling of spins in neighboring quantum dots.