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Schwerpunktprogramm 2331: Machine Learning in Chemical Engineering. Knowledge Meets Data: Interpretability, Extrapolation, Reliability, Trust

News vom 23.07.2020

The programme brings together the chemical engineering (CE) and machine learning (ML) communities. By teaming chemical engineers with mathematicians and/or computer scientists, progress in all disciplines is expected. The programme is designed to run for six years.

The present call invites tandem proposals for the first three-year funding period. Each proposal must operate at the interface of CE and ML and have at least two applicants with corresponding expertise. The projects shall consider at least one of six areas: 1. optimal decision making, 2. introducing/enforcing physical laws in ML models, 3. heterogeneity of data, 4. information and knowledge representation, 5. safety and trust in ML applications, and 6. creativity. The projects will be organised in a matrix between the areas of CE and the ML tasks. Data, models, and methods will be shared among all participants of the programme in an internal platform. The focus of the programme shall be on the field of fluid processes with or without chemical reactions.

Termin: 19.01.2021 (Registrierung bis 05.01.2021)
Adresse: DFG, Kennedyallee 40, 53175 Bonn
Kontakt: Dr. Simon Jörres, Tel.: 0228/885-2971, simon.joerres@dfg.de, Silke Stieber, Tel.: 0228/885-2687, silke.stieber@dfg.de
Weitere Informationen: Ausschreibung