fig2

Data-driven OLED candidate design: a generative model from independent-property domains to the comprehensive performance enhancement

Figure 2. LumiGen framework, comprising a Molecular Generator, a Spectral Discriminator, and a Sampling Augmentor. The Molecular Generator leverages a ChEMBL24 pre-trained LSTM model to produce three types of high-quality luminescent molecules. The Spectral Discriminator is trained on the DBexp dataset. The Sampling Augmentor generates new high-quality subsets through clustering, completing the loop from lab to ML. LSTM: Long short-term memory; ML: machine learning.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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