fig9

Accelerating perovskite materials discovery and correlated energy applications through artificial intelligence

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.

Energy Materials
ISSN 2770-5900 (Online)
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