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![Accelerating perovskite materials discovery and correlated energy applications through artificial intelligence](https://image.oaes.cc/cbf360c7-527e-4ddb-b3ff-04d68939f7b5/4847.fig.9.jpg)
Figure 9. (A) PCE versus bandgap energy of eight perovskites. The filled symbols represent predicted results from ML, while the empty symbol represents experimental data. Copyright from Wiley[64]. (B) J-V curves of undoped and 3% KI-doped PSCs. Copyright from Springer Nature[65]. (C) Contribution of features under different temperatures. The feature importance is calculated from GBT regression and SHAP assessment, where aging_temp denotes aging temperature, dep_method denotes deposition method, Ost denotes over-stoichiometric with excess iodide, and α-δ denotes the probability of phase transition in humid air. The purple and orange color indicates low and high values of a given feature. Copyright from Springer Nature[66]. PCE: Power conversion efficiency; PSCs: perovskite solar cells; GBT: gradient boosting tree; SHAP: shapley additional explaining.