Project 4: Deep learning of molecular graphs
The aim of this project is to develop more informative representations and machine learning models of atomically resolved chemical and biological systems. These representations and models will take into account local as well as non-local information about the structure of the system. These innovations will be used in a variety of other projects in the SIMPLAIX consortium.
The project is hosted by the labs of Fred Hamprecht and Pascal Friederich who have complementary experience in developing and applying machine learning models for applications in medicine, chemistry, and materials science.
Team
Prof. Dr. Fred Hamprecht
Principal Investigator (IWR, Heidelberg University)
Phone: +49 6221 5414803
More Information
T.T.-Prof. Dr. Pascal Friederich
Principal Investigator (Karlsruhe Institute of Technology)
Phone: +49 721 60844764
More Information
powered by Borlabs Cookie