Quantum Chemistry Applications

This lecture delves into the applications of quantum chemistry, focusing on supervised learning for tasks like regression and clustering, as well as dimensionality reduction. The instructor explains the significance of the electron density in quantum chemistry, its relation to the Schrodinger equation, and its role in predicting various properties of chemical systems. The lecture also covers the challenges in designing efficient catalysts, converting solar energy, and synthesizing drugs, highlighting the importance of machine learning in bridging theoretical and experimental chemistry.