Theoretical determination of a model molecule for the catalytic upcycling of polyolefins

28 August 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Considering the severe environmental and humanitarian implications of global plastic waste accumulation, understanding polyolefin catalytic degradation is essential. Accordingly, a model compound would improve experiments' reproducibility and simplify theoretical models. Therefore, this study aimed to determine the minimum number of monomers necessary to represent the degradation and upcycling of polyethylene and polypropylene over metal catalysts. Using density functional theory (DFT) calculations, we evaluated how polymer's chain length affects reaction energies and energy barriers for C-H and C-C cleavage over stepped transition metal surfaces. We found that chain length does not significantly affect the C-H and C-C cleavage reaction energies and the C-H cleavage energy barriers. Our findings suggest that ethane may be suitable as a model to study polyethylene's catalytic C-H and C-C cleavage. Although such a simple molecule cannot capture complex transport and entanglement phenomena in full polymers, it remains useful for determining reaction energetics in complex systems.

Keywords

DFT
Polyethylene
Chain length effect
Plastic degradation
C-H cleavage
C-C cleavage

Supplementary materials

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Supporting Information
Description
Details for the fine-tuning of the machine learning model. Additional figures showing the effect of omitting the van der Waals interaction in the reaction energy calculation, the reaction energies for the C-H cleavage and adsorption energies as a function of the number of monomers of polyethylene oligomers for different metals, the reaction energies (adsorbed hydrocarbon as the initial state) as a function of the number of monomers in the polypropylene oligomers and a comparison of the reaction energies for the C-H cleavage of polyethylene oligomers with and without vdW correction in the optimization of the bulk metal.
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Electronic Supporting Information
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DFT files and Python codes necessary to reproduce all the figures.
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