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- W4376455837 abstract "We have proposed a deep learning protocol to effectively forecast the electronic transition properties of delayed fluorescence molecules, and achieved a significant predictive accuracy when the torsional profile of the dataset is enriched." @default.
- W4376455837 created "2023-05-14" @default.
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- W4376455837 date "2023-01-01" @default.
- W4376455837 modified "2023-09-26" @default.
- W4376455837 title "A deep learning framework for predictions of excited state properties of light emissive molecules" @default.
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- W4376455837 doi "https://doi.org/10.1039/d3nj01174g" @default.
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