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Imaging the Molecular Motions of Autonomous Repair in a Self-Healing Polymer.

Hanne M van der KooijArijana SusaSantiago J GarcíaSybrand van der ZwaagJoris Sprakel
Published in: Advanced materials (Deerfield Beach, Fla.) (2017)
Self-healing polymers can significantly extend the service life of materials and structures by autonomously repairing damage. Intrinsic healing holds great promise as a design strategy to mitigate the risks of damage by delaying or preventing catastrophic failure. However, experimentally resolving the microscopic mechanisms of intrinsic repair has proven highly challenging. This work demonstrates how optical micromechanical mapping enables the quantitative imaging of these molecular-scale dynamics with high spatiotemporal resolution. This approach allows disentangling delocalized viscoplastic relaxation and localized cohesion-restoring rebonding processes that occur simultaneously upon damage to a self-healing polymer. Moreover, frequency- and temperature-dependent imaging provides a way to pinpoint the repair modes in the relaxation spectrum of the quiescent material. These results give rise to a complete picture of autonomous repair that will guide the rational design of improved self-healing materials.
Keyphrases
  • high resolution
  • single molecule
  • oxidative stress
  • mass spectrometry
  • mental health
  • machine learning
  • big data
  • deep learning