Issue 9, 2024

Molecular field analysis in half-titanocene complexes: computational study towards data-driven in silico optimization of single-site olefin polymerization catalysts

Abstract

We performed molecular field analysis using computed data of half-titanocene-catalyzed olefin polymerization. The activation energies of ethylene insertion, propylene insertion, and the energy differences between ethylene insertion and β-hydrogen transfer calculated with DFT methods were employed as target variables for regression analysis. Molecular fields (voxel data) calculated from corresponding transition-state structures were used as descriptors. The structural information visualized based on the molecular field-based regression analysis provided a catalyst design guideline. A phosphinimide catalyst designed following the guideline showed enhanced computed free energy values. According to a previous report, the designed catalyst exhibited higher activity and polymer molecular weight in ethylene polymerization compared to a high performance phosphinimide catalyst in the training samples.

Graphical abstract: Molecular field analysis in half-titanocene complexes: computational study towards data-driven in silico optimization of single-site olefin polymerization catalysts

Supplementary files

Article information

Article type
Paper
Submitted
21 Feb 2024
Accepted
15 Mar 2024
First published
18 Mar 2024

Catal. Sci. Technol., 2024,14, 2434-2440

Molecular field analysis in half-titanocene complexes: computational study towards data-driven in silico optimization of single-site olefin polymerization catalysts

S. Yamaguchi, T. Kikuchi, K. Tanaka and I. Takamiya, Catal. Sci. Technol., 2024, 14, 2434 DOI: 10.1039/D4CY00241E

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