fig8

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

Figure 8. (A) The activation process of proton conduction in oxides; (B) Schematic workflow to screen the unconventional proton-conducting oxides; (C) and (D) Proton conductivities and H-D isotope effects of predicted Bi10.8Pb1.2SiO20-δ and Bi3.6Sr0.4Ge3O12-δ oxides. Reproduced with permission from Fujii et al.[63] Copyright 2023 John Wiley & Sons.

Energy Materials
ISSN 2770-5900 (Online)
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