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Sequence-Enhanced Self-Healing in "Lock-and-Key" Copolymers.

Authors :
Zhao Y
Yin R
Wu H
Wang Z
Zhai Y
Kim K
Do C
Matyjaszewski K
Bockstaller MR
Source :
ACS macro letters [ACS Macro Lett] 2023 Apr 18; Vol. 12 (4), pp. 475-480. Date of Electronic Publication: 2023 Mar 27.
Publication Year :
2023

Abstract

Van der Waals-driven self-healing in copolymers with "lock-and-key" architecture has emerged as a concept to endow engineering-type polymers with the capacity to recover from structural damage. Complicating the realization of "lock-and-key"-enabled self-healing is the tendency of copolymers to form nonuniform sequence distributions during polymerization reactions. This limits favorable site interactions and renders the evaluation of van der Waals-driven healing difficult. Here, methods for the synthesis of lock-and-key copolymers with prescribed sequence were used to overcome this limitation and enable the deliberate synthesis of "lock-and-key" architectures most conducive to self-healing. The effect of molecular sequence on the material's recovery behavior was evaluated for the particular case of three poly( n -butyl acrylate/methyl methacrylate) [P(BA/MMA)] copolymers with similar molecular weights, dispersity, and overall composition but with different sequences: alternating ( alt ), statistical ( stat ), and gradient ( grad ). They were synthesized using atom transfer radical polymerization (ATRP). Copolymers with alt and stat sequence displayed a 10-fold increase of recovery rate compared to the grad copolymer variant despite a similar overall glass transition temperature. Investigation with small-angle neutron scattering (SANS) revealed that rapid property recovery is contingent on a uniform microstructure of copolymers in the solid state, thus avoiding the pinning of chains in glassy MMA-rich cluster regions. The results delineate strategies for the deliberate design and synthesis of engineering polymers that combine structural and thermal stability with the ability to recover from structural damage.

Details

Language :
English
ISSN :
2161-1653
Volume :
12
Issue :
4
Database :
MEDLINE
Journal :
ACS macro letters
Publication Type :
Academic Journal
Accession number :
36971570
Full Text :
https://doi.org/10.1021/acsmacrolett.3c00055