Title |
Harnessing autocatalytic reactions in polymerization and depolymerization |
ID_Doc |
21533 |
Authors |
Kumar, R; Liu, ZN; Lokitz, B; Chen, JH; Carrillo, JM; Jakowski, J; Collier, CP; Retterer, S; Advincula, R |
Title |
Harnessing autocatalytic reactions in polymerization and depolymerization |
Year |
2021 |
Published |
Mrs Communications, 11.0, 4 |
DOI |
10.1557/s43579-021-00061-9 |
Abstract |
Autocatalysis and its relevance to various polymeric systems are discussed by taking inspiration from biology. A number of research directions related to synthesis, characterization, and multi-scale modeling are discussed in order to harness autocatalytic reactions in a useful manner for different applications ranging from chemical upcycling of polymers (depolymerization and reconstruction after depolymerization), self-generating micelles and vesicles, and polymer membranes. Overall, a concerted effort involving in situ experiments, multi-scale modeling, and machine learning algorithms is proposed to understand the mechanisms of physical and chemical autocatalysis. It is argued that a control of the autocatalytic behavior in polymeric systems can revolutionize areas such as kinetic control of the self-assembly of polymeric materials, synthesis of self-healing and self-immolative polymers, as next generation of materials for a sustainable circular economy. |
Author Keywords |
Amorphous; Polymer; Autonomous; Biomimetic (chemical reaction); Degradable; Membrane; Multi-scale; Diffusion; Non-linear effects; Recycling; Circular economy; Simulation |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED) |
EID |
WOS:000672983700001 |
WoS Category |
Materials Science, Multidisciplinary |
Research Area |
Materials Science |
PDF |
https://link.springer.com/content/pdf/10.1557/s43579-021-00061-9.pdf
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