IDA Wiki

Seminar on Machine Learning for Quantum Chemistry

Date

Kick-off meeting: Tuesday, May 2nd 2023, 16:15-17:00

Presentations: Wednesday, July 11th, 14:00 (tentative)

Room

MAR 4.033 or Zoom: https://tu-berlin.zoom.us/j/65745322054?pwd=c1YxaFVGelRPUzVvNjBmbk80U1hNZz09

ISIS

https://isis.tu-berlin.de/course/view.php?id=33513

Trainers

Stefaan Hessmann, Niklas Gebauer

Contact

stefaan.hessmann@tu-berlin.de, n.gebauer@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 about applications of machine learning to quantum chemistry. There is no formal registration for the kick-off meeting. In the general case, it is not possible to take the seminar as a standalone course.

Students will read, understand, evaluate and present selected research papers on machine learning methods in quantum chemistry. At the end of the semester, each student will present their topic in a 20 min talk (+ 10 min questions) in English.

For a list of available research papers, please refer to the ISIS course linked above.

The available topics cover

IDA Wiki: Main/SS23_MLQc (last edited 2023-04-20 14:40:35 by NiklasGebauer)