What can AI do for molecular simulation?
Event details
| Date | 07.11.2023 |
| Hour | 15:15 › 16:15 |
| Speaker | Frank Noé has a background in Electrical Engineering, Computer Science and Physics and did his PhD at University of Heidelberg in 2006. He became group leader at FU Berlin in 2007 and professor in 2013. Since 2022 he is Partner Research Manager in Microsoft Research AI4Science, also located in Berlin. Frank has received two European Research Commission (ERC) grants and the early career award in Theoretical Chemistry of the American Chemical Society (ACS). He is member of the Berlin-Brandenburg academy of sciences, a fellow in the European Laboratory for Learning and Intelligent Systems (ELLIS) and an ISI highly cited researcher. Frank’s research is highly interdisciplinary and focuses on developing Machine Learning methods to address fundamental questions in the natural Sciences. |
| Location | Online |
| Category | Conferences - Seminars |
| Event Language | English |
AI, especially deep learning methods have had enormous impact on a variety of fields in the last few years. It is increasingly clear that AI methods will also play a key role in the sciences, e.g., to emulate molecular simulators at vastly increased speed, or to enable computational to achieve higher accuracies. In this talk I will introduce generative deep learning methods to address the sampling problem in biomolecular simulations as well as deep learning methods for achieving highly accurate quantum Chemistry solutions.
Practical information
- General public
- Free
Organizer
- Andres M Bran, Rebecca Neeser, Yannick Calvino, Philippe Schwaller
Contact
- Andres M Bran, Rebecca Neeser, Yannick Calvino, Philippe Schwaller