10:30 AM - 10:45 AM
[2C06] Effect of donors on supported Ziegler-Natta catalyst: internal donor-induced support reconstruction and its effects on TiCl4 distribution
Keywords:Ziegler-Natta catalyst, Machine learning, DFT
Internal donors (IDs) are an essential part of the heterogeneous Ziegler-Natta catalyst - the most important catalyst for propylene polymerization -, drastically improving stereospecificity and activity. Nevertheless, a deep understanding of donor-induced changes to the system is still lacking. In this study, structure determination of nanoplates composed of 19MgCl2/4TiCl4/5IDs was performed (IDs being diether or a phthalate) by utilizing DFT and a genetic algorithm. The most stable structures' shape was analyzed, as well as the distribution of Mg2+ coordination number and TiCl4 population according to the presence and type of stereo-controlling ligands, aiming to find how the support is shaped by IDs and how this shape affects Ti species distribution.