This course introduces modern computational electronic structure methods and their broad applications to organic chemistry. It also discusses physical organic concepts to illustrate the stability and reactivity of organic molecules. ...
This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the v ...
The course will introduce basic concepts for the description of electrons in condensed matter from a microscopic many-body approach,
and relate results obtained by quantum field theoretical methods to properties of the many-electron wave functions underly ...