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Oxygen species evolution is central to the catalytic performance of oxidative coupling of methane (OCM), yet understanding and controlling this evolution remains a major challenge. SrTiO3 is a promising OCM catalyst due to its high C2 selectivity and stability but suffers from low activity. Here, DFT calculations combined with kMC simulations were employed to investigate facet-dependent oxygen species cycling on SrTiO3. Our findings reveal that SrTiO3(100)-Ti is the most favorable facet, sustaining a regenerable oxygen cycle (“O2− → OV → O22− → Ti-OH → O2−”). The local oxygen chemical potential (μO) is further identified as a thermodynamic descriptor linking oxygen stability with CH4* activation ability, following the order OV > O22− > Ti-OH > O2−. Furthermore, the spatial distribution of OV acts as a structural switch, directing two competing Mars–van Krevelen (MvK) cycles. kMC simulations reveal that the peroxide-mediated pathway dominates under operando conditions, whereas the overall activity is limited by the low activity of O2− and the accumulation of inert OlatH that further poisons active sites. Notably, B-site La doping effectively overcomes this bottleneck by activating OlatH and increasing the μO of O2− from –9.12 eV to –6.57 eV, which enhances the CH4(g) turnover frequency from 4.79 × 10−1 to 2.40 s−1 at 1073.15 K. These results establish μO and oxygen vacancy distribution as general design principles for perovskite oxide catalysts, offering a promising strategy to enhance OCM activity.
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Gao et al. (2026) studied this question.
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