研究目的

Investigating the therapeutic effects of a specific herbal medicine on a particular disease.

研究成果

In summary, a series of PyI-based luminescent materials based on different types of excited states of LE, HLCT and CT have been successfully developed. Highly mixed excited state of LE and CT appears in PyPPA and PyPPAC through a combined photophysical and DFT investigation. They show high ηPL both in solution and film. The LE and CT component work coefficiently to give excellent fluorescent performance as well as an ultimately high radiative exciton ratio. The nondoped devices with PyPPA and PyPPAC as the emitter reached a maximum CE of 9.16 and 8.74 cd A?1, maximum EQE of 8.47% and 7.52%, maximum brightness of 30344 and 50046 cd m-2 and a nearly 100% exciton utilization. The superior performance is attributed to a D-A design strategy which results in a equivalent hybrid excited state. In addition, high-performance hybrid WOLED is obtained by employing PyPPA as a blue-emitting component. The two-color WOLED exhibits warm white and provides the maximum forward-viewing EQE, PE and CE of 21.19%, 61.46 lm W?1 and 62.13 cd A?1, respectively. Therefore, the excellent blue and white OLEDs are obtained by the HLCT-based molecular design and optimized device structure. The blue device property stands among the best performances reported to date for HLCT-based nondoped blue OLEDs. And the hybrid WOLEDs with excellent performance is realized by HLCT blue emitter. They also show low efficiency roll-offs and good color stabilities. These results provide a practical molecular design concept which leads to a highly efficient radiated state of luminescent molecules for OLED applications. This work illustrates the utility and potential of rational molecular design in PyI-based blue-emitting materials. Advancing the overall understanding of molecular photochemistry, the results clarify the structure-property relationship, paving the way for easy access to the advantages of pyrene and efficient blue and white electroluminescence.

研究不足

The technical and application constraints of the experiments, as well as potential areas for optimization.