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Understanding Polymer Networks with Reversibly Associating Side Groups

Explore how polymer architecture impacts shape memory properties using polymers with hydrogen bonding side groups. Discover the benefits of chemically crosslinked networks in supporting reversible binding for stronger recovery forces in shape memory elastomers. Shape memory response includes stable temporary shape, fast shape recovery at 60°C, as detailed in Macromolecules 2011. NSF funding supports green engineering workshops, PhD student training, and research instrumentation acquisition for industrial research.

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Understanding Polymer Networks with Reversibly Associating Side Groups

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  1. Polymer Networks Containing Reversibly Associating Side-GroupsMitchell Anthamatten, University of Rochester, DMR 0906627 Architecture Matters: Dynamic Mechanical Properties Polymers bearing multiple-hydrogen bonding side-groups exhibit unique viscoelastic properties and are enabling new approaches to shape memory polymers, self-healing interfaces, and thermoplastic elastomers. To explore how polymer architecture impacts shape memory properties, we synthesized and characterized a series of polymers bearing different amounts of thermo-reversible and photo-crosslinkable side-groups. We discovered that the presence of a chemically crosslinked network strongly supports cooperative reversible binding of side-groups. This finding will spur development of shape memory elastomers with stronger recovery forces. Shape Memory Response: shape setting (temporary shape is stable for minutes…) (immersionin hot water) fast, thermally triggered, shape-recovery (60 °C) Macromolecules2011, 44, 5336–5343

  2. Polymer Networks Containing Reversibly Associating Side-GroupsMitchell Anthamatten, University of Rochester, DMR 0906627 • NSF Funding Supported: • Development of twonew “Green Engineering” workshops for local secondary school teachers to highlight national science & technology in the area of energy and the environment. • fuel cells • global warming & CO2 sequestration • Training of two PhD students who will establish careers in industrial research: the first, Jiahui Li completed his PhD in July, 2011. • Acquisition and installation of shared research instrumentation (see left) also used for undergraduate training through the PI’s Soft Matter course. Acquired & setup a solid-state rheometer (instrument donated by Rohm & Haas) external liquid nitrogen coolingenables low temperature studies

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