Ikemoto Koki, Akiyoshi Misato, Kobayashi Ayano, Kita Hiroshi, Taka Hideo, Isobe Hiroyuki
Department of Chemistry, The University of Tokyo Hongo 7-3-1, Bunkyo-ku Tokyo 113-0033 Japan
Konica Minolta Ishikawacho 2970, Hachioji Tokyo 192-8505 Japan.
Chem Sci. 2024 Dec 23;16(7):3045-3050. doi: 10.1039/d4sc07039a. eCollection 2025 Feb 12.
A method for correlating reaction conditions with device performance was developed by combining Design-of-Experiments and machine-learning strategies in multistep device fabrication processes. This method allowed the "from-flask-to-device" optimisation of a macrocyclisation reaction yielding a mixture of methylated []cyclo--phenylenes, and a crude raw material was directly applied to the fabrication of Ir-doped organic light-emitting devices spin-coating. The method succeeded in eliminating energy-consuming and waste-producing separation and purification steps during device fabrication. The device using the optimal raw mixture material recorded a high external quantum efficiency of 9.6%, which surpassed the performance of purified materials. The raw material method was also found to be applicable to screen-printing processes, and image-transferred OLEDs were fabricated using the low-cost, environmentally benign materials.
通过在多步器件制造过程中结合实验设计和机器学习策略,开发了一种将反应条件与器件性能相关联的方法。该方法实现了宏观环化反应的“从烧瓶到器件”优化,生成了甲基化[]环-对亚苯基混合物,并且将粗原料直接应用于铱掺杂有机发光器件的旋涂制造。该方法成功消除了器件制造过程中耗能且产生废物的分离和纯化步骤。使用最佳原料混合物的器件记录了9.6%的高外部量子效率,超过了纯化材料的性能。还发现原料法适用于丝网印刷工艺,并且使用低成本、环境友好的材料制造了图像转移有机发光二极管。