(346i) Predicting an Optimal Oxide/Metal Interface Catalyst for Hydrodeoxygenation Chemistry of Biomass Derivatives
AIChE Annual Meeting
2020
2020 Virtual AIChE Annual Meeting
Computational Molecular Science and Engineering Forum
Poster Session: Computational Molecular Science and Engineering Forum (CoMSEF)
Wednesday, November 18, 2020 - 8:00am to 9:00am
With this mechanistic insight, we have extended this model to predict an optimal combination of oxides and metal catalyst with interfacial properties that combine hydrogenation and redox requirements of HDO. Descriptors that dictate the synergy between the oxide and metalsâ functionalities for HDO at the oxide/metal interface are evaluated, including the interfacial reducibility, metalâoxygen bond strength, metal-carbon binding energy, metalâs work function or its relative d-band center. We identify a greater stabilization of the C-O activation transition state through electronic charge redistribution at the interface, facilitated by a higher metal work function. Stronger metal-carbon binding dictates the favorable hydrogenation of the resulting organic fragment. The mechanistic study is also successfully extended to predict deoxygenation of other stringent oxygenates like m-cresol, phenols etc., to establish more generic correlations aimed to optimize the overall HDO chemistry, hydrogen activation and subsequent hydrogenation of different oxygenated biomass derivatives.
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