2021
DOI: 10.33774/chemrxiv-2021-j5pfd-v3
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Data-driven machine learning models for the quick and accurate prediction of thermal stability properties of OLED materials

Abstract: Organic light-emitting-diode (OLED) materials have exhibited a wide range of applications. However, the further development and commercialization of OLEDs requires higher-quality OLED materials, including materials with a high thermal stability. Thermal stability is associated with the glass transition temperature (Tg) and decomposition temperature (Td), but experimental determinations of these two important properties genernally involve a time-consuming and laborious process. Thus, the development of a quick … Show more

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