Substance Data

Recommender Systems are known from the daily life: e.g. movie platforms make suggestions on movies, which users might like, based on already watched movies. AI based solutions shall be developed by using these methods in order to describe the thermodynamics of substances. This is the foundation for the model-based optimisation of chemical production processes in order to, e.g., improve resource efficiency. AI offers methods which can make predictions on so far not examined substances from comparably few available data.

Contact: PD Dr. Michael Bortz, ITWM


Michael Bortz, Fraunhofer ITWM