4.7 Review

Dually Crosslinked Polymer Networks Incorporating Dynamic Covalent Bonds

期刊

POLYMERS
卷 13, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/polym13030396

关键词

covalent adaptable networks; dynamic covalent chemistry; supramolecular chemistry; vitrimers; responsive materials; self-healing materials; shape memory polymers; hydrogels; interpenetrated networks; recyclability

资金

  1. European Union through the H2020 Programme (MARIE SKLODOWSKA-CURIE ACTIONS) of the European Commission's Innovative Training Networks (H2020-MSCA-ITN-2017) under DoDyNet REA Grant [765811]
  2. ESPCI Paris - PSL
  3. CNRS

向作者/读者索取更多资源

CANs are polymeric networks with dynamic covalent crosslinks, exhibiting unique physical properties such as adaptability, self-healing, and shape-memory. DDNs, a promising new class of polymeric materials, combine distinct crosslinkers to design materials with tailored thermal, rheological, and mechanical properties. DDNs have the ability to combine dimensional stability, bond dynamicity, and multi-responsiveness.
Covalent adaptable networks (CANs) are polymeric networks containing covalent crosslinks that are dynamic under specific conditions. In addition to possessing the malleability of thermoplastics and the dimensional stability of thermosets, CANs exhibit a unique combination of physical properties, including adaptability, self-healing, shape-memory, stimuli-responsiveness, and enhanced recyclability. The physical properties and the service conditions (such as temperature, pH, and humidity) of CANs are defined by the nature of their constituent dynamic covalent bonds (DCBs). In response to the increasing demand for more sophisticated and adaptable materials, the scientific community has identified dual dynamic networks (DDNs) as a promising new class of polymeric materials. By combining two (or more) distinct crosslinkers in one system, a material with tailored thermal, rheological, and mechanical properties can be designed. One remarkable ability of DDNs is their capacity to combine dimensional stability, bond dynamicity, and multi-responsiveness. This review aims to give an overview of the advances in the emerging field of DDNs with a special emphasis on their design, structure-property relationships, and applications. This review illustrates how DDNs offer many prospects that single (dynamic) networks cannot provide and highlights the challenges associated with their synthesis and characterization.

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