Aggregation-induced emissions of tetraphenylethene derivatives and their utilities as chemical vapor sensors and in organic light-emitting diodes

Yongqiang Dong; Jacky W. Y. Lam; Anjun Qin; Jianzhao Liu; Zhen Li; Ben Zhong Tang; Jiaxin Sun; Hoi Sing Kwok

doi:10.1063/1.2753723

Abstract

Nonemissive tetraphenylethene (TPE) 1 and its diphenylated derivative 2 were induced to emit intensely by aggregate formation. Crystalline aggregates of the dyes emitted bluer lights than their amorphous counterparts. The emissions of the TPE dyes could be switched off and on continuously and reversibly by wetting and dewetting with solvent vapors, respectively, manifesting their ability to optically sense volatile organic compounds. The light-emitting diodes fabricated from 1 and 2 were turned on at ∼2.9 and ∼5V and emitted blue lights with maximum luminance of ∼1800 and ∼11000cd∕m2, respectively.

Keywords

OLEDOptoelectronicsDewettingMaterials scienceDiodeAmorphous solidWettingDerivative (finance)PhotochemistryChemistryThin filmNanotechnologyOrganic chemistryLayer (electronics)

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Publication Info

Year: 2007
Type: article
Volume: 91
Issue: 1
Citations: 517
Access: Closed

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APA Style

                            
                                
                                    Yongqiang Dong, 
                                
                                    Jacky W. Y. Lam, 
                                
                                    Anjun Qin
                                
                                et al.
                            
                            (2007). 
                            Aggregation-induced emissions of tetraphenylethene derivatives and their utilities as chemical vapor sensors and in organic light-emitting diodes. 
                            Applied Physics Letters
                            , 91
                            (1)
                            .
                            https://doi.org/10.1063/1.2753723
                        

Identifiers

DOI: 10.1063/1.2753723

Data Quality

Data completeness: 77%