Delves into computational quantum interaction phenomena in materials using high-performance computing, covering N-particle quantum mechanics, ab initio approaches, and the NOMAD Center of Excellence.
Explores classical and quantum mechanics, covering observables, momentum, Hamiltonian, and the Schrödinger equation, as well as quantum chemistry and the Schrödinger's cat experiment.
Summarizes Generalized Gradient Approximations, Meta-GGAs, Hybrid functionals, First-Principles Molecular Dynamics, QM/MM simulations, and important features of Quantum Chemistry calculations.
Explores enhancing machine learning predictions by refining error metrics and applying constraints for improved accuracy in electron density predictions.
Covers elastic scattering of fast electrons and their interactions with matter, including the derivation of the Mott formula and effective refractive index.
