fig6

Machine learning-assisted advances and perspectives for electrolytes of protonic solid oxide fuel cells

Figure 6. (A) Schematic workflow for discovering proton-conducting oxides by constructing gradient boosting regressor (GBR) model; (B) Structure-property maps for hydration in 540 perovskites (in the case of CH); (C) 761 data for proton concentration; (D) Proton conductivity for SrSn0.8Sc0.2O3-δ and other oxides. Reproduced with permission from Hyodo et al.[23] Copyright 2021 American Chemical Society.

Energy Materials
ISSN 2770-5900 (Online)
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