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Enhancement of frequency modulation response time for polymer-dispersed liquid crystal

Title
Enhancement of frequency modulation response time for polymer-dispersed liquid crystal
Author(s)
Shim, HyunseokLyu, Hong-KunAllabergenov, BunyodGarbovskiy, YuriyGlushchenko, AnatoliyChoi, Byeongdae
Issued Date
2016
Citation
Liquid Crystals, v.43, no.10, pp.1390 - 1396
Type
Article
Author Keywords
Polymer-dispersed liquid crystalsferroelectric particlesresponse timefrequency modulation
Keywords
COMPOSITEDISPLAYSELECTROLUMINESCENT DEVICESFerroelectric ParticlesFrequency ModulationPERFORMANCEPolymer-Dispersed Liquid CrystalsResponse Time
ISSN
0267-8292
Abstract
ABSTRACT: Through the ferroelectric nanoparticles of BaTiO3 (BTO) doping, the response time for the frequency modulation of the polymer-dispersed liquid crystal (PDLC) was improved. The BTO-doped PDLC cells were prepared by polymerisation induced phase separation (PIPS) process using UV light. The capacitance of the PDLC composites was measured with an impedance analyzer in the frequency range of 100Hz–1MHz at 1V. The dynamic signal for the response time of the PDLC devices was monitored through a digital oscilloscope. The electro-optical properties of the PDLC were found to strongly depend on the doped BTO concentration. The BTO doping caused a large increase in the capacitance. The dielectric constants were drastically decreased in the samples with rather low BTO doping ratio at a high frequency. No outstanding difference in the rising time of the LC was observed in the BTO-doped PDLC device, but the falling time was significantly decreased from 0.334 to 0.094s. The present results imply that the nanoparticle-doping technology could improve the electro-optical performance of the PDLC requiring fast response and frequency modulation, such as optical modulators and PDLC-hybrid electroluminescence device for flexible electronic devices. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
URI
http://hdl.handle.net/20.500.11750/2780
DOI
10.1080/02678292.2016.1175677
Publisher
Taylor and Francis Ltd.
Related Researcher
  • 류홍근 Lyu, Hong-Kun
  • Research Interests Image-based AI application;Real-time AI system;AI-AMR System;AI farming machinery
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Appears in Collections:
Intelligent Devices and Systems Research Group 1. Journal Articles
Division of AI, Big data and Block chain 1. Journal Articles

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