Researchers at Chung-Ang University, led by Professor Jaemin Kim, have developed a new AI model to predict the characteristics of blue OLED devices. The new model is highly precise, so much so that during experiments it achieved a prediction accuracy of 99.2% for the triplet fusion constant and 99.9% for the triplet emission rate.
To develop this model, they explain on Oled-info, the researchers first created modeling that improved the precision of calculating the triplet emission ratio, one of the key properties of blue light-emitting materials. Based on this modeling, an AI model was then created to predict the triplet emission ratio and fusion constant, generating a transient EL extinction curve. For those wishing to know more, the research was published in the scientific journal Advanced Materials.
Researchers believe that such accurate AI models can help accelerate the development of blue OLED emitting materials and devices, which should also have a positive impact on the market, and it is interesting to see how artificial intelligence and machine learning are increasingly more central to the research and development processes.
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