2020
DOI: 10.1007/s42452-020-2096-6
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Mathematical modeling of ethylene polymerization over advanced multisite catalysts: an artificial intelligence approach

Abstract: Recent developments in multisite catalysts based on metallocenes and post-metallocenes attracted the attention of researchers and industrial petrochemical companies due to the production of high-performance polymeric materials which generally are not achievable based on Ziegler-Natta catalysts. In this study, with the aim of predicting the average molecular weight of produced polyethylene and activity of ethylene polymerization using multisite catalysts, robust precise models based on artificial neural network… Show more

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Cited by 5 publications
(2 citation statements)
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“…[23] ANN is a type of neural intelligence technique that is based on datadriven machining learning techniques capable of predicting the various responses for a particular chemical process. It has been successfully applied to investigate and improve ethylene polymerizations catalyzed by single site catalyst, [24,25] to predict the performance of ethylene polymerization over novel metallocene/ post-metallocene multisite catalyst, [26] and also employed to predict polymerization kinetics and final polymer properties of polyethylene using ZN catalyst. [23] It has also been reported to have successful application in reactive extrusion technology to handle nonlinearity in the process.…”
Section: Introductionmentioning
confidence: 99%
“…[23] ANN is a type of neural intelligence technique that is based on datadriven machining learning techniques capable of predicting the various responses for a particular chemical process. It has been successfully applied to investigate and improve ethylene polymerizations catalyzed by single site catalyst, [24,25] to predict the performance of ethylene polymerization over novel metallocene/ post-metallocene multisite catalyst, [26] and also employed to predict polymerization kinetics and final polymer properties of polyethylene using ZN catalyst. [23] It has also been reported to have successful application in reactive extrusion technology to handle nonlinearity in the process.…”
Section: Introductionmentioning
confidence: 99%
“…Conversely, the intrinsic discrepancy between the reactivity ratios of functional alkenes and olefins hampers the copolymerization process using the conventional approaches. Also, the “polar monomer problem” may disturb the coordination polymerization of olefins with heteroatom-containing vinyl monomers. , Although coordination catalysts are ideally suited for olefin insertion polymerization (IP), , the harmful side reactions between the heteroatom and the active metal center obstruct synthesizing functional olefin copolymers through IP . Another route to synthesizing functional olefin copolymers is the incorporation of latent reactive moieties into the polyolefin chains during coordination polymerization (metallocene , or even Ziegler–Natta).…”
Section: Introductionmentioning
confidence: 99%