fig10

Decoding donor/acceptor hierarchy in DAD triads via fragment-centric machine learning

Figure 10. Correlation between predicted ΔETT and ΔEST values for 5,400 DAD molecules, visualized by (A) donor fragments and (B) acceptor fragments. Color-coding represents different fragment categories, revealing distinct clustering patterns between donor and acceptor contributions to energy-gap modulation. DAD: Donor–acceptor–donor.

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