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New publications from the ML-PRE project have been released
The collaboration with Dr. Jelena Fiosina from the Institute of Computer Science resulted in two additional papers within the framework of the DFG SPP2331.
Reverse engineering of vinyl acetate polymerizations using genetic algorithm-based multi-objective optimization ai-based forecasting of polymer properties for high-temperature butyl acrylate polymerizations
Priority Program 2331 combines machine learning and chemical engineering.
Links to the publications:
doi:10.3233/FAIA241068
doi.org/10.1021/acspolymersau.4c00047