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Effect of nitrogen-doping configuration in graphene on the oxygen reduction reaction

机译:石墨烯中氮掺杂构型对氧还原反应的影响

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In this study, we investigate the oxygen reduction reaction (ORR) reactivity of nitrogen-doped graphene by using density functional theory (DFT), a computational quantum mechanical technique. Four doping configurations and five models were comprehensively studied: quaternary nitrogen (NQ), pyrrolic nitrogen (N5), two forms of pyridinic nitrogen (N6, N6nH) and three-pyridinic nitrogen (3N6). Models for possible sites during each step of ORR were set up and visualized to provide a platform to calculate the free energy of the reaction pathway to determine the suitability of each doping scenario. Associative mechanisms were displayed by all models except N5, which showed dissociative mechanism. The calculated free energy pathways demonstrate that the ranking of the reactivity for ORR by different nitrogen configurations from most reactive to least reactive is N6, NQ, N6nH, 3N6, and N5. Spin density and charge density aid in describing levels of reactivity.
机译:在这项研究中,我们通过使用密度泛函理论(DFT),一种计算量子力学技术,研究了氮掺杂石墨烯的氧还原反应(ORR)反应性。全面研究了四种掺杂构型和五个模型:季氮(NQ),吡咯氮(N5),两种形式的吡啶氮(N6,N6nH)和三吡啶氮(3N6)。建立了ORR每个步骤中可能的位点的模型,并将其可视化,以提供一个平台来计算反应路径的自由能,从而确定每种掺杂方案的适用性。除N5以外,所有模型均显示了关联机制。计算出的自由能路径表明,从反应性最高到反应性最低的不同氮构型,ORR的反应性等级为N6,NQ,N6nH,3N6和N5。自旋密度和电荷密度有助于描述反应性水平。

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