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Controlling Deformations of Gel-based Composites by Electromagnetic Signals within GHz Frequency Range

Abstract

Using theoretical and computational modeling, we focus on dynamics of gels filled with uniformly dispersed ferromagnetic nanoparticles subjected to electromagnetic (EM) irradiation within the GHz frequency range. For the polymer matrix, we choose Poly(N-isopropylacrylamide) gel, which have a low critical solution temperature and shrinks upon heating. When these composites are irradiated with the frequency close to that of the Ferro-Magnetic Resonance (FMR) frequency, the heating rate increases dramatically. The energy dissipation of EM signal within the magnetic nanoparticles results in the heating of the gel matrix. We show that the EM signal causes volume phase transitions, leading to the large deformations of the sample for a range of system parameters. We propose a model that accounts for the dynamic coupling between the elastodynamics of polymer gel and an FMR heating of magnetic nanoparticles. This coupling is nonlinear: when the system is heated and the gel shrinks during the volume phase transition, the particles concentration increases, which in turn results in an increase of the heating rates as long as the concentration of nanoparticles does not exceed a critical value. We show that the system exhibits high selectivity to the frequency of the incident EM signal and can result in a large mechanical feedback in response to a small change in the applied signal. These results suggest a design of a new class of soft active gel-based materials remotely controlled by the low power EM signals within the GHz frequency range.

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Publication details

The article was received on 13 Jun 2018, accepted on 30 Sep 2018 and first published on 01 Oct 2018


Article type: Paper
DOI: 10.1039/C8SM01207E
Citation: Soft Matter, 2018, Accepted Manuscript
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    Controlling Deformations of Gel-based Composites by Electromagnetic Signals within GHz Frequency Range

    O. Savchak, T. Morrison, K. Kornev and O. Kuksenok, Soft Matter, 2018, Accepted Manuscript , DOI: 10.1039/C8SM01207E

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