Learning

Computational Methods for Atmospheric Reactions

Fundamentals of Atmospheric Chemistry → Case Studies in Atmospheric Reaction Modeling

This graduate-level learning path equips learners with the knowledge and skills to apply computational chemistry methods—particularly kinetics and density functional theory (DFT)—to study atmospheric reactions. It covers essential chemical kinetics, quantum chemistry foundations, reaction mechanisms, spectroscopy, and their integration into global models with climate implications. The path culminates in practical case studies that integrate these concepts.