3.320 Atomistic Computer Modeling of Materials

Course Description

This course uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials. Specific topics include: energy models from classical potentials to first-principles approaches; density functional theory and the total-energy pseudopotential method; errors and accuracy of quantitative predictions: thermodynamic ensembles, Monte Carlo sampling and molecular dynamics simulations; free energy and phase transitions; fluctuations and transport properties; and coarse-graining approaches and mesoscale models. The course employs case studies from industrial applications of advanced materials to nanotechnology. Several laboratories will give students direct experience with simulations of classical force fields, electronic-structure approaches, molecular dynamics, and Monte Carlo.This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5107 (Atomistic Computer Modeling of Materials).

Copyright Information

Gerbrand Ceder and Nicola Marzari, 3.320 Atomistic Computer Modeling of Materials (SMA 5107), Spring 2005. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/OcwWeb/Materials-Science-and-Engineering/... (Accessed December 5, 2009). License: Creative commons BY-NC-SA
3.320 Atomistic Computer Modeling of Materials

Still image from an animation of cold catalysis of methane, shown in the video for Lecture 14. (Image by Prof. Nicola Marzari.)
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eyob wrote 7 years ago.
it is remarkable subject to understand easily

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