fig11

From: Smart design of Rh-based hydrogen evolution electrocatalysts: integrating DFT, machine learning, and structural optimization for sustainable hydrogen energy

Smart design of Rh-based hydrogen evolution electrocatalysts: integrating DFT, machine learning, and structural optimization for sustainable hydrogen energy

Figure 11. Morphological and structural characterizations of MoO_x-Rh metallene: (A and B) HAADF-STEM and (C) TEM. (D) The k³-weighted χ(k)-function extracted from the EXAFS spectra is presented, where the dashed lines represent experimental data and the solid lines correspond to the fitted results. (E) HER polarization curves for commercial Pt/C, Rh/C, Rhene/C, MoO₃+ Rh/C, and MoO_x-Rh/C catalysts. The inset provides a schematic illustration of the atomic structure of MoO_x-Rh metallene, with Rh, molybdenum, and oxygen atoms represented by cyan, pink, and red spheres, respectively. This figure is reproduced from Ref.^[205] with permission. Copyright 2022, Wiley.