With the topic "Machine Learning for Chemistry", this CZS Summer School 2024 will cover multiple aspects of this young interdisciplinary research area, e.g. molecular design and understanding, ML-potentials for atomistic simulations, synthesis predictions, and self-driving labs.
We want to address young researchers at early career stages specifically, i.e. undergraduate students in informatics, chemistry, and the material sciences as well as first and second-year PhD students. The program will contain both lecture-type presentations as well as interactive formats such as a lab visit, hands-on tutorials, and a poster session in which the participants can present their own research. Along with the scientific program, we will organize a side program consisting of a trip to Heidelberg including a visit of the castle, a social dinner as well as a public evening including a panel discussion on the topic "Machine Learning in Science - Hype or Future?".