= Seminar on Machine Learning for Quantum Chemistry =

|| Date || Kickoff meeting: 2 November 2021, 10 am ||
|| || Presentation: TBD ||
|| Room ||  Kickoff will be online, Zoom link will be posted on ISIS ||
|| ISIS ||  https://isis.tu-berlin.de/course/view.php?id=27431 ||
|| Trainers || Kristof Schütt, Michael Gastegger ||
|| Contact || kristof.schuett@tu-berlin.de, michael.gastegger@tu-berlin.de ||
|| Credits || 3 ECTS, Elective in the modules "Machine Learning I", "Machine Learning II", and "Cognitive Algorithms" ||


This is a research-oriented seminar of about applications of machine learning to quantum chemistry. Students are required to present a selected topic. 

The available topics cover
 * Representations of molecules and materials
 * Encoding prior knowledge and symmetries in ML models
 * Solving the Schrödinger equation with ML
 * ML for molecular dynamics
 * Generative models for many-particle systems