Network Topology and Percolation in Model Covalent\nAdaptable Networks

Incorporating\ndynamic covalent linkages into thermosets can endow\npreviously unrecyclable materials with new functionality and reprocessing\noptions. Recent work has shown that the properties of the resulting\ncovalent adaptable networks (CANs) are highly dependent on network\ntopology, specifically the phenomenon of percolation, when permanent\nlinkages form a connected skeleton that spans the material. Here,\nwe use a model glassy disulfide based CAN to assess the merits of\nmean-field percolation theory as a tool to describe the network topology\nof CANs. After challenging the theory with both experimental data\nand a coarse-grained molecular dynamics simulation, we find that the\nmean-field approach is surprisingly accurate, despite its simplifying\nassumptions. The theory is particularly well suited to the unique\ncontext of mixed-composition CANs and provides practical guidance\non how to design for reprocessability.

Publication Details

Journal
Figshare
Published
2024-10-30
DOI
https://doi.org/10.1021/acsmacrolett.4c00523.s002
Primary Topic
Plant pathogens and resistance mechanisms
Type
article
Field-Weighted Citation Impact
0.00
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article

Network Topology and Percolation in Model Covalent\nAdaptable Networks

Figshare
Plant pathogens and resistance mechanisms
article

Network Topology and Percolation in Model Covalent\nAdaptable Networks

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Abstract

Incorporating\ndynamic covalent linkages into thermosets can endow\npreviously unrecyclable materials with new functionality and reprocessing\noptions. Recent work has shown that the properties of the resulting\ncovalent adaptable networks (CANs) are highly dependent on network\ntopology, specifically the phenomenon of percolation, when permanent\nlinkages form a connected skeleton that spans the material. Here,\nwe use a model glassy disulfide based CAN to assess the merits of\nmean-field percolation theory as a tool to describe the network topology\nof CANs. After challenging the theory with both experimental data\nand a coarse-grained molecular dynamics simulation, we find that the\nmean-field approach is surprisingly accurate, despite its simplifying\nassumptions. The theory is particularly well suited to the unique\ncontext of mixed-composition CANs and provides practical guidance\non how to design for reprocessability.

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Openalex Percentile: Top 41%
Plant pathogens and resistance mechanisms
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