Unraveling the Effect of Dopants in Zirconia-Based Catalysts for CO2 Hydrogenation to Methanol

掺杂剂 反应性(心理学) 格式化 催化作用 密度泛函理论 化学 甲醇 离解(化学) 计算化学 过渡状态 化学物理 物理化学 材料科学 兴奋剂 有机化学 光电子学 医学 替代医学 病理
作者
Raffaele Cheula,Thien An Michael Quoc Tran,Mie Andersen
出处
期刊:ACS Catalysis [American Chemical Society]
卷期号:14 (17): 13126-13135 被引量:12
标识
DOI:10.1021/acscatal.4c03206
摘要

The doping of zirconia to enhance its activity and selectivity for the hydrogenation of CO2 to methanol has been studied intensively in experiments, but a thorough theoretical understanding of the factors that decide whether a dopant has a positive or negative influence on the reactivity is lacking. In this work, we conduct a mechanistic investigation using density functional theory and microkinetic modeling, considering the ZrO2(101) surface doped with 16 different metals. This analysis elucidates the following two criteria for enhanced reactivity. One, the ability of the surface to facilitate the dissociation of H2 and provide the H* species necessary for the catalytic reaction is deemed a necessary but not sufficient criterion. Two, dopants that are thermodynamically stable under reaction conditions in a 2+ or 3+ oxidation state are beneficial, since this entails the introduction of O vacancies, which stabilize O-containing reaction intermediates such as formate and lower key transition states. We construct linear scaling relations that can reliably predict transition state energies in terms of less computationally costly adsorption energies. It is revealed that dopants that are stable in the 4+ state (e.g., Ti), and thereby lack O vacancies, follow a different scaling relation with a higher intercept for formate formation, which can explain their reduced reactivity. Overall, our microkinetic models can successfully predict the trends for dopants that have been found active in experiments (Zn2+, Cd2+, Ga3+, In3+) and not. Together with the established reactivity criteria, this paves the way for computational screening of oxides for the important CO2-to-methanol process.
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