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Information for lesson "Atomistic Computer Modeling of Materials 3.320 MIT"

Description: 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.

Resources: OpenCourseware from NPTEL (India), MIT, UC Berkeley, Stanford & many other of the World's finest University's.

Language: English

Professors: Michael Williams

Units: 19

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