Rescaling Approach to Molecular Orientation for NMR and Optical Properties of Polymer Networks

2002 ◽  
Vol 35 (14) ◽  
pp. 5665-5669 ◽  
Author(s):  
M. E. Ries ◽  
M. G. Brereton ◽  
I. M. Ward ◽  
J. I. Cail ◽  
R. F. T. Stepto
Polymers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1625 ◽  
Author(s):  
Rijeesh Kizhakidathazhath ◽  
Hiroya Nishikawa ◽  
Yasushi Okumura ◽  
Hiroki Higuchi ◽  
Hirotsugu Kikuchi

The widespread electro–optical applications of polymer dispersed liquid crystals (PDLCs) are hampered by their high-driving voltage. Attempts to fabricate PDLC devices with low driving voltage sacrifice other desirable features of PDLCs. There is thus a clear need to develop a method to reduce the driving voltage without diminishing other revolutionary features of PDLCs. Herein, we report a low-voltage driven PDLC system achieved through an elegantly simple and uniquely designed acrylate monomer (A3DA) featuring a benzene moiety with a dodecyl terminal chain. The PDLC films were fabricated by the photopolymerization of mono- and di-functional acrylate monomers (19.2 wt%) mixed in a nematic liquid crystal E7 (80 wt%). The PDLC film with A3DA exhibited an abrupt decline of driving voltage by 75% (0.55 V/μm) with a high contrast ratio (16.82) while maintaining other electro–optical properties almost the same as the reference cell. The response time was adjusted to satisfactory by tuning the monomer concentration while maintaining the voltage significantly low (3 ms for a voltage of 0.98 V/μm). Confocal laser scanning microscopy confirmed the polyhedral foam texture morphology with an average mesh size of approximately 2.6 μm, which is less in comparison with the mesh size of reference PDLC (3.4 μm), yet the A3DA-PDLC showed low switching voltage. Thus, the promoted electro–optical properties are believed to be originated from the unique polymer networks formed by A3DA and its weak anchoring behavior on LCs. The present system with such a huge reduction in driving voltage and enhanced electro–optical performance opens up an excellent way for abundant perspective applications of PDLCs.


2000 ◽  
Vol 363 (1-2) ◽  
pp. 86-89 ◽  
Author(s):  
J.P Ni ◽  
Y Ueda ◽  
Y Ichino ◽  
K Yase ◽  
D.K Wang

2004 ◽  
Vol 95 (3) ◽  
pp. 881-886 ◽  
Author(s):  
Hao-Wu Lin ◽  
Chun-Liang Lin ◽  
Hsin-Hua Chang ◽  
Yu-Ting Lin ◽  
Chung-Chih Wu ◽  
...  

1993 ◽  
Vol 76 (1) ◽  
pp. 233-240 ◽  
Author(s):  
P. R. Subramanian ◽  
V. Galiatsatos

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