物理化学特論Ⅳ

May 8：
Historically, the field of chemistry has evolved through hands-on experimentation and empirical measurements. However, since the mid-20th century, theoretical chemistry has flourished. This branch of chemistry draws from a broad spectrum of physics disciplines, including classical mechanics, thermodynamics, statistical mechanics, and quantum mechanics, to elucidate chemical phenomena. With advances in computing power, theoretical chemistry has given way to computational chemistry, which has become increasingly influential. In recent years, a new paradigm known as information chemistry has emerged as the fourth pillar of chemical research, complementing experimentation, theoretical studies, and computational approaches. Fueled by advancements in general-purpose machine learning libraries, information chemistry is experiencing rapid growth and is being applied in myriad chemical contexts. This lecture series delves into the intricacies of theoretical and computational chemistry, with a focus on understanding the processes of chemical reactions and the physical properties of molecules. It also encompasses cutting-edge topics in information chemistry, including traditional cheminformatics and machine learning, providing a comprehensive overview of the discipline. Students in this series will gain foundational knowledge of quantum chemistry calculations, molecular dynamics simulations, and chem/bioinformatics. Furthermore, they will explore practical applications of these methods in analyzing chemical reactions and assessing physical parameters, equipping them with the tools to apply these techniques effectively.

May 29:
The main objective of the lectures is to give an overview on band theory of one-dimensional systems and its application to understand the conductivity behavior of extended materials, using a chemist approach