Explores quantum chemistry applications, emphasizing the role of electron density in predicting chemical properties and addressing challenges in catalyst design, solar energy conversion, and drug synthesis.
Explores the Thomas-Fermi model in Density Functional Theory, discussing electron-electron interaction approximation and challenges in expressing kinetic energy.
Covers the precursors of Kohn-Sham Density Functional Theory (DFT) and the Kohn-Sham formulation, explaining types of Exc[p] approximations and the performance of LDA.
Explores modeling multilayer 2D materials, tight-binding models, and electrical conductivity in materials, emphasizing the importance of symmetries and reduced models.
Delves into troubleshooting errors and pitfalls in electronic structure methods, emphasizing the importance of integration grids and functional choices.
Summarizes Generalized Gradient Approximations, Meta-GGAs, Hybrid functionals, First-Principles Molecular Dynamics, QM/MM simulations, and important features of Quantum Chemistry calculations.
Covers the basics of Density Functional Theory, challenges in DFT, and improvements in functional approximations and corrections for accurate calculations.
Explores Car-Parrinello molecular dynamics, a unified approach combining molecular dynamics and density-functional theory for simulating various systems, with a focus on historical background, technical details, and challenges in atomistic simulations.
