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Article

Improvement of the dynamic responses of liquid crystal mixtures through γ-Fe2O3 nanoparticle doping and driving mode adjustment

, , , , , , , , , , , , , & show all
Pages 1643-1654 | Received 11 Jan 2019, Accepted 06 Mar 2019, Published online: 12 Jul 2019
 

ABSTRACT

The dynamic response property of liquid crystal (LC) devices mainly depends on the selection of LC materials and driving method of the devices. In this work, we explored the modulation of the dynamic response property of LC mixtures through the microscopic mechanism and macroscopic method of γ-Fe2O3 nanoparticle doping and driving mode adjustment, respectively. LC mixtures doped with different concentrations of γ-Fe2O3 nanoparticles retained the dielectric and elastic properties of the LC state and good temperature stability. In addition, doped LC mixtures had lower threshold voltage, higher birefringence, and faster rise and decay times than pure LC materials. Besides, the application of voltage overdriving and undershooting methods could reduce the rise and decay times of LC mixtures by 74.8% and 21.7%, respectively. Moreover, the combined methods of γ-Fe2O3 nanoparticle doping and voltage overdriving and undershooting decreased the total response time of LC mixtures by 71.5%, and the response speed of doped LC mixtures increased by 3-fold relative to that of the pure LC materials.

Graphical Abstract

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research is supported by the National Natural Science Foundation of China (NSFC) [11374087, 11504080]; Natural Science Foundation of Hebei Province of China [A2019202235, A2017202004]; Research and practice project of Hebei Province higher education and teaching reform [2017GJJG018]; Research Projects of Undergraduate Education and Teaching Reform in Hebei University of Technology [201802003]; Key Subject Construction Project of Hebei Province University; Project of College Students Innovation and Entrepreneurship Training Program [20181008001, 201810080116].

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