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Synergistic Enhancement of Water-Splitting Performance Using MOF-Derived Ceria-Modified g-C 3 N 4 Nanocomposites: Synthesis, Performance Evaluation, and Stability Prediction with Machine Learning.

Pramod A KoyaleSwapnajit V MulikJayavant L GunjakarTukaram D DongaleValmiki B KoliNavaj B MullaniSantosh S SutarYash G KapdiSaurabh S SoniSagar D Delekar
Published in: Langmuir : the ACS journal of surfaces and colloids (2024)
Diminishing the charge recombination rate by improving the photoelectrochemical (PEC) performance of graphitic carbon nitride (g-C 3 N 4 ) is essential for better water oxidation. In this concern, this research explores the competent approach to enhance the PEC performance of g-C 3 N 4 nanosheets (NSs), creating their nanocomposites (NCs) with metal-organic framework (MOF)-derived porous CeO 2 nanobars (NBs) along with ZnO nanorods (NRs) and TiO 2 nanoparticles (NPs). The synthesis involved preparing CeO 2 NBs and g-C 3 N 4 NSs through the calcination of respective precursors, while the sol-gel method is employed for ZnO NRs and TiO 2 NPs. Following the subsequent analysis of the physicochemical properties of the materials, the binder-free brush-coating method is deployed to fabricate NC-based photoanodes, followed by an evaluation of the PEC performance through various electrochemical techniques. Remarkably, the binary g-C 3 N 4 /CeO 2 NCs with 20 wt % CeO 2 NBs (gC20 NCs) exhibited a significantly enhanced current density of 0.460 mA/cm 2 at 1.23 V vs reversible hydrogen electrode, which is 2.3 times greater than that of bare g-C 3 N 4 NSs (0.195 mA/cm 2 ). Further improvements are observed with ternary gC20/TiO 2 (gCT50) and gC20/ZnO (gCZ50) NCs, achieving current densities of 1.810 and 1.440 mA/cm 2 , respectively. These enhanced current densities are attributed to increased donor densities, reduced charge transfer resistances, and efficient charge transport within the NCs. In addition, higher surface areas with beneficial instinctive defects are perceived for gCT50 and gCZ50 NCs, as revealed by Brunauer-Emmett-Teller and electron spin resonance analysis. Finally, the stability of gCZ50 and gCT50 NC-based photoanodes is predicted and forecasted with the help of the recurrent neural network-based long short-term memory technique. Overall, this study demonstrates the efficacy of organic-inorganic hybrids for efficient photoanodes, facilitating advancements in water-splitting studies.
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