4.8 Article

Spatial Identification of Zeroth Defect Formation in Organic Light-Emitting Diodes by Multispectral Mappings

期刊

ACS APPLIED MATERIALS & INTERFACES
卷 14, 期 27, 页码 31474-31481

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsami.2c09033

关键词

Raman spectroscopy; organic light-emitting diodes; black spots; multispectral mappings; online quality prediction

资金

  1. Natural Science Foundation of China [51873068, 51573055, 51521002]
  2. Foundation of Guangzhou Science and Technology Project [201904020035]
  3. Natural Science Foundation of Guangdong Province [2019B030301003]

向作者/读者索取更多资源

In this study, complete maps of electroluminescent, photoluminescent, and Raman scattering in an organic light-emitting diode during its operation were achieved using a confocal spectrometer with multiple laser sources. The different spectral characters helped to identify different regions and suggest degradation mechanisms. This method has high spatial resolution and reproducibility, which is significant for online quality prediction and mechanistic analysis.
In recently developed organic semiconductors, the continuously improving sample purity makes the stability of the chemical bonds of organic materials themselves become a key factor in device stability, which provides greater uncertainty for the generation of zeroth defect , and the spatial resolution of performance at different positions becomes particularly important. In this work, complete maps of electroluminescent, photo-luminescent, and Raman scattering in the same area on an organic light-emitting diode during its operation have been achieved with a confocal spectrometer with multiple laser sources. The different spectral characters help to establish different regions and suggest the mechanism of degradation. In particular, Raman scattering has been shown to be very sensitive in a multilayer device to a change in thickness of several nanometers. In amorphous films with few defects, the very weak film uniformity, including the thickness and degree of aggregation, would induce dramatic degradation. The relatively thin and/or loosely textured region easily locally overheats and has the highest probability of zeroth defect generation. This method has high spatial resolution, a low level of damage to samples, good reproducibility, and multiple interconnected pieces of information, which is significant for online quality prediction and mechanistic analysis.

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