25‐3: Machine‐Learning‐Assisted Materials Discovery of Blue Emitter for More Efficient and Durable OLED Device
SID Symposium Digest of Technical Papers2021Vol. 52(1), pp. 314–316
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Sohae Kim, Dahye Cho, Seran Kim, Sunwoo Kang, Eunkyung Koh, Il-Joon Kang, Hoilim Kim, Young Mi Cho, Yongjo Kim
Abstract
While a more efficient and stable emitter with a deep blue color is essential for a better performance of organic light‐emitting diodes (OLED) devices, obtaining such materials is extremely challenging. In the current work, we have developed a tool to assist the discovery of blue OLED materials by applying a v‐HTS of materials based on the properties predicted using ML and a ML‐predictabiltiy scale. In this study, the materials of interest include both Pt (II) phosphor complexes [1−3] and thermally activated delayed fluorescence materials for blue dopants [4−6] . We have also developed a user‐friendly version that includes most of the algorithms used in this study, which is available on an internal web‐based simulation platform.
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