Mechanistic kinetic Monte Carlo modeling of the synthesis of hyperbranched polyesters

IF 11.5 Q1 CHEMISTRY, PHYSICAL
Matthew W. Coile, V. Sai Phani Kumar, Changxia Shi, Eugene Y.-X. Chen, Linda J. Broadbelt, Alexander Shaw
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引用次数: 0

Abstract

Most plastics recycled today are recycled mechanically, often referred to as downcycling due to the inevitable degradation of the polymer material. One alternative is to chemically recycle these materials back to a monomer, but this works most efficiently for intrinsically circular polymers (iCPs) that exhibit appropriate depolymerization thermodynamics and kinetics. In order to help design such iCP materials, modeling can provide insight into the effect of reaction conditions on their polymerization and depolymerization characteristics. Most iCPs reported are linear polymers, so architecturally complex hyperbranched polymers that exhibit complete chemical circularity are rare, and modeling on hyperbranched iCPs has not been reported. Here, we report a mechanistic model that incorporates chain-length-dependent transport phenomena and tracks the full polymer structure during the reversible polymerization of a hydroxyl-functionalized lactone leading to this hyperbranched polyester. This lays the groundwork for future modeling of this material’s depolymerization behavior and provides a framework that can be employed to study other iCPs.

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来源期刊
CiteScore
10.50
自引率
6.40%
发文量
0
期刊介绍: Chem Catalysis is a monthly journal that publishes innovative research on fundamental and applied catalysis, providing a platform for researchers across chemistry, chemical engineering, and related fields. It serves as a premier resource for scientists and engineers in academia and industry, covering heterogeneous, homogeneous, and biocatalysis. Emphasizing transformative methods and technologies, the journal aims to advance understanding, introduce novel catalysts, and connect fundamental insights to real-world applications for societal benefit.
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