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- W3163016399 abstract "Abstract In the oxidative coupling of methane (OCM), the activation of methane and the suppression of deep oxidation are in a persistent trade‐off relationship, and a catalyst design strategy that balances the activity and the selectivity is desired. In this study, we analyzed a random catalyst dataset for OCM that was earlier obtained by high‐throughput experimentation, and extracted heuristics such as elements, supports, and their combinations related to methane activation at a low temperature and selective formation of C 2 compounds at a high temperature. The obtained heuristics were used for catalyst development. The most effective was the use of a mixed support between La 2 O 3 and BaO, which improved the low‐temperature activity, the high‐temperature selectivity, as well as the maximum C 2 yield. It was considered that La 2 O 3 acted as a heater and helped low‐temperature operation of BaO, which is highly selective but not active at a low temperature." @default.
- W3163016399 created "2021-05-24" @default.
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- W3163016399 date "2021-06-08" @default.
- W3163016399 modified "2023-09-26" @default.
- W3163016399 title "Extraction of Catalyst Design Heuristics from Random Catalyst Dataset and their Utilization in Catalyst Development for Oxidative Coupling of Methane" @default.
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- W3163016399 doi "https://doi.org/10.1002/cctc.202100460" @default.
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