Workshop on Machine Learning and Reactive Processes

Quantum Machine Learning: Chemical Reactions with Unprecedented Speed and Accuracy

The workshop aims to gather internationally renowned eminent scientists and local scholars within an intimate setting for scientific presentations (30 min) and discussions. The idea is to review and hear about progress made and to understand the outstanding future challenges in regards to machine learning and the quantum mechanics based universal understanding of reactions throughout chemical compound space.
This workshop is supported by ERC 772834 (QML: Quantum Machine Learning: Chemical Reactions with Unprecedented Speed and Accuracy)

Please note: The workshop is not open to the public. Participation is only possible for invited individuals.

Date:              December 18. & 19. 2023
Location:       Forum Digitale Technologien, Salzufer 15/16, Lanolinfabrik/Kanalhaus EG, 10587 Berlin
Organizers:   Anatole von Lilienfeld, Professor & Clark Chair of Advanced Materials at the Vector Institute
                       Klaus-Robert Müller, Professor for Machine Learning TU Berlin, BIFOLD Co-director

Preliminary Agenda: 
Monday, December 18th, 2023

09:00 am Coffee
09:30 am Anouar Benali (Argonne National Laboratory)
10:30 am Coffee
11:00 am Yousung Jung (Seoul National University)
12:00 pm Lunch
13:30 pm  Frank Noe (Microsoft/FU Berlin)
14:30 pm Coffee
15:00 pm Panel Discussion
16:00 pm Poster Session & Fingerfood


Tuesday, December 19th, 2023

09:00 am  Coffee
09:30 am Markus Meuwly (University of Basel) 
10:30 am  Coffee
11:00 am Julia Westermayr (Universität Leipzig)
12:00 pm Lunch
13:30 pm Thorben Frank (BIFOLD) 
14:30 pm Coffee
15:00 pm Alex Tkatchenko (University of Luxembourg)
16:00 pm Concluding Remarks & Coffee