Computational modeling of heterogeneous Ziegler-Natta catalysts for olefins polymerization. (September 2018)

• Record Type: Journal Article
• Authors: Bahri-Laleh, Naeimeh; Hanifpour, Ahad; Mirmohammadi, Seyed Amin; Poater, Albert; Nekoomanesh-Haghighi, Mehdi; Talarico, Giovanni; Cavallo, Luigi
• Is Part Of: Progress in polymer science. Volume 84(2018)
• Page Start: 89
• Page End: 114
• Publication Date: 2018-09
• Subjects: Ziegler-Natta catalysts -- Olefin polymerization -- DFT -- Computational modeling -- Polyolefin; Polymers -- Periodicals; Polymerization -- Periodicals; Polymers -- Industrial applications -- Periodicals; Polymères -- Périodiques; Polymérisation -- Périodiques; 547.7
• DOI: 10.1016/j.progpolymsci.2018.06.005
• Languages: English
• ISSNs: 0079-6700

Abstract

Graphical abstract: Abstract: Since 1963, when Karl Ziegler and Giulio Natta were jointly awarded the Nobel Prize for their discoveries of the catalytic polymerization of olefins with Ti-chlorides and Al-alkyls, heterogeneous Ziegler-Natta (ZN) catalysts have become the main catalysts for the industrial production of polyolefins. Despite of the relevance of ZN catalysts for the large-scale production of polyolefins, a clear mechanistic understanding of these catalysts is still incomplete due to the elusive nature of the active site structures. Over the last two decades, researchers have used density functional theory (DFT) methods to clarify the polymerization mechanisms and to identify the nature of the active sites, unraveling the influence of supports, cocatalysts, and the effect of internal and external donors on the polymerization processes. Major efforts were dedicated to understanding the origin of stereoselectivity in α-olefin polymerization as well as the termination reactions mechanisms, and the role that impurities can play in heterogeneous ZN catalysis. Here, we review the DFT studies on heterogeneous ZN catalysts and suggest promising areas for future research.