High-performance pan-tactic polythioesters with intrinsic crystallinity and chemical recyclability.
Type
ArticleAuthors
Shi, Changxia
McGraw, Michael L
Li, Zi-Chen

Cavallo, Luigi

Falivene, Laura

Chen, Eugene Y.-X.

KAUST Department
Chemical Science ProgramKAUST Catalysis Center (KCC)
Physical Science and Engineering (PSE) Division
Date
2020-08-19Online Publication Date
2020-08-19Print Publication Date
2020-08Submitted Date
2020-04-02Permanent link to this record
http://hdl.handle.net/10754/665030
Metadata
Show full item recordAbstract
Three types of seemingly unyielding trade-offs have continued to challenge the rational design for circular polymers with both high chemical recyclability and high-performance properties: depolymerizability/performance, crystallinity/ductility, and stereo-disorder/crystallinity. Here, we introduce a monomer design strategy based on a bridged bicyclic thiolactone that produces stereo-disordered to perfectly stereo-ordered polythiolactones, all exhibiting high crystallinity and full chemical recyclability. These polythioesters defy aforementioned trade-offs by having an unusual set of desired properties, including intrinsic tacticity-independent crystallinity and chemical recyclability, tunable tacticities from stereo-disorder to perfect stereoregularity, as well as combined high-performance properties such as high thermal stability and crystallinity, and high mechanical strength, ductility, and toughness.Citation
Shi, C., McGraw, M. L., Li, Z.-C., Cavallo, L., Falivene, L., & Chen, E. Y.-X. (2020). High-performance pan-tactic polythioesters with intrinsic crystallinity and chemical recyclability. Science Advances, 6(34), eabc0495. doi:10.1126/sciadv.abc0495Sponsors
This work was supported, in part, by Colorado State University and by the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Advanced Manufacturing Office (AMO), and Bioenergy Technologies Office (BETO). This work was performed as part of the BOTTLE Consortium and funded under contract no. DE-AC36-08GO28308 with the National Renewable Energy Laboratory, operated by the Alliance for Sustainable Energy. The computational study used the resources of the King Abdullah University of Science and Technology Supercomputing Laboratory (KSL).Journal
Science advancesPubMed ID
32875116PubMed Central ID
PMC7438104Additional Links
https://advances.sciencemag.org/lookup/doi/10.1126/sciadv.abc0495ae974a485f413a2113503eed53cd6c53
10.1126/sciadv.abc0495
Scopus Count
Except where otherwise noted, this item's license is described as This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
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