MIT / Engineering / Mechanical
Lecture : Introduction and Case Studies
By Gerbrand Ceder | Atomistic Computer Modeling of Materials
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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.
Courses Index
1 : Introduction to MEMS Design   (Clark Nguyen / Berkeley)
2 : Control of Manufacturing Processes   (David Hardt / MIT)
3 : Introduction to Solid State Chemistry   (Donald Sadoway / MIT)
4 : Symmetry, Structure, and Tensor Properties of Materials   (Bernhardt Wuensch / MIT)
5 : Underactuated Robotics   (Russell Tedrake / MIT)
6 : Supply Chain Management   (Multiple Instructors / MIT)
7 : X PRIZE Workshop: Grand Challenges in Energy   (Erika Wagner / MIT)
8 : Special Topics in Mechanical Engineering : The Art and Science of Boat Design   (Christopher Dewart / MIT)
9 : Various Sources of Energy - Seminar   (Multiple Instructors / Stanford)
10 : Nonlinear Finite Element Analysis   (Klaus-Juurgen Bathe / MIT)
11 : Renewable Energy and Alternative Fuels   (Weismann . / Berkeley)
12 : Engineering for the Future   (Multiple Instructors / UC Davis)
13 : Manufacturing Processes   (Multiple Instructors / UC Irvine)