We defined two novel descriptors to demonstrate the flexibility<br>of both chemical and electronic structures of organic<br>fluorescence compounds upon excitation. Classification<br>algorithms were introduced to predict the aggregationinduced<br>emission behavior from the chemical structures<br>based on the new descriptors. A dataset was built to train<br>the classifier, which is optimized to 87.3% accuracy finally.
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