High-performance pan-tactic polythioesters with intrinsic crystallinity and chemical recyclability.
McGraw, Michael L
Chen, Eugene Y.-X.
KAUST DepartmentChemical Science Program
KAUST Catalysis Center (KCC)
Physical Science and Engineering (PSE) Division
Online Publication Date2020-08-19
Print Publication Date2020-08
Permanent link to this recordhttp://hdl.handle.net/10754/665030
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AbstractThree 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.
CitationShi, 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.abc0495
SponsorsThis 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).
PubMed Central IDPMC7438104
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