fig7

Accelerated discovery of high-performance small-molecule hole transport materials via molecular splicing, high-throughput screening, and machine learning

Figure 7. The true values and ML predicted values for (A) Hole reorganization energy, (B) Solvation free energy, (C) Maximum absorption, and (D) LogP based on the XGBoost model, respectively. ML: Machine learning; XGBoost: extreme gradient boosting.

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