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 pseudopote…
Instructors: Prof. Gerbrand Ceder Prof. Nicola Marzari
Topics covered: Case Studies: High Pressure; Conclusions
Topics covered: Accelerated Molecular Dynamics, Kinetic Monte Carlo, and Inhomogeneous Spatial Coarse Graining. Note: No video is available for Lecture 24.
Topics covered: Ab-Initio Thermodynamics and Structure Prediction
Topics covered: Free Energies and Physical Coarse-Graining. Note: Lecture 22 was a lab session. No video is available.
Topics covered: Free Energies and Physical Coarse-Graining
Topics covered: Monte Carlo Simulation II and Free Energies
Topics covered: Monte Carlo Simulations: Application to Lattice Models, Sampling Errors, Metastability
Topics covered: Molecular Dynamics III: First Principles. Note: Lecture 16 was a lab session. No video is available.
Topics covered: Finite Temperature: Review of Stat Mech and Thermodynamics Excitations in Materials and How to Sample Them
Topics covered: 9 Advanced DFT: Success and Failure; DFT Applications and Performance. Note: Lecture 10 was a lab session. No video is available.
Topics covered: Technical Aspects of Density Functional Theory
Topics covered: First Principles Energy Methods: Hartree-Fock and DFT
Topics covered: First Principles Energy Methods: The Many-Body Problem
Topics covered: Potentials 2: Potentials for Organic Materials and Oxides; It's a Quantum World! Note: Lecture 4 was a lab session. No video is available.
Topics covered: Potentials, Supercells, Relaxation, Methodology
Topics covered: Introduction and Case Studies