fig8

Accelerating perovskite materials discovery and correlated energy applications through artificial intelligence

Figure 8. Model prediction and evaluation on synthesized perovskite thin film. (A) Description of A, B, and X in desired ABX3-type perovskite and explanation to ΔH and ΔL. (B) Predicted bandgap value versus experimental benchmark. (C, D) Bandgap rationalizes Cs/MA/FAPbI3 and Cs/MA/FASnI3 based on different Cs/MA/FA ratio. (E) Predicted PCE based on optimal values, implying that the highest PCE values are between 1.2 and 1.3 eV of bandgap with small ΔH and ΔL. (F) Comparison between PCE from Shockley and Queisser theory and maximum PCE from the model. (G, H) experimental ΔH, ΔL preference, and prediction map preference. (I, J) PCE map with ΔH and ΔL when Eg = 1.2 eV and Eg = 1.8 eV. Copyright from Wiley[63].

Energy Materials
ISSN 2770-5900 (Online)
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