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1.
ACS Appl Mater Interfaces ; 7(12): 6438-43, 2015 Apr 01.
Article in English | MEDLINE | ID: mdl-25748448

ABSTRACT

A highly efficient and stable electron injection layer (EIL) for inverted organic light-emitting diodes (OLEDs) is developed. A 1 nm-thick Al is deposited between indium tin oxide cathode and commonly used Cs2CO3 EIL, which can significantly improve the stability. The Al may react with evaporated Cs2CO3 and form a much stabler Al-O-Cs complex, avoiding Cs oxidization by air according to X-ray photoemission spectroscopy measurement. When the Al is evaporated after Cs2CO3 layer, although such a Al-O-Cs complex also forms, the inferior electron injection at Al/4,7-diphenyl-1,10-phenanthroline interface leads to a joule heat-induced resistance that adversely affects the air stability of the device. It is expected that the developed Al/Cs2CO3 EIL promotes high efficiency and stable active-matrix OLEDs based on n-type thin film transistor.

2.
Adv Mater ; 27(6): 1077-82, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25532496

ABSTRACT

Inspired by butterflies an advanced detection and sensing system is developed. The hierarchical nanoarchitecture of Morpho butterfly wings is shown to facilitate the selective modification of such a structure, which results in a sensitive infrared response. These findings offer a new path both for detecting infrared photons and for generating nanostructured bimaterial systems for high-performance sensing platforms.

3.
Zhongguo Yi Liao Qi Xie Za Zhi ; 35(5): 341-3, 2011 Sep.
Article in Chinese | MEDLINE | ID: mdl-22242380

ABSTRACT

Due to the drawbacks of the single function for the existing pedometers, this paper proposes an intelligent fitness partner based on the acceleration and photoelectric sensors.Through low-cost and single-chip three axles acceleration sensors MMA7260, it extracts and analysis the human's sports information. Furthermore, it detects and analyses the human's heart rate signal, by using the photoelectric sensor. Microcontroller PIC18F4520 is used to realize the algorithm of adaptive step counting model, and the heart rate detection circuit is also set up. The experimental results show that the proposed fitness partner can accurately display the heart rate wave of the testee, and the accurate rate is above 90%.


Subject(s)
Biomedical Technology/instrumentation , Walking , Acceleration , Algorithms , Biomedical Technology/methods , Heart Rate/physiology , Humans
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