Hai Guangtong, Wang Haihui
Beijing Key Laboratory for Membrane Materials and Engineering, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China.
Small Methods. 2023 Nov;7(11):e2300756. doi: 10.1002/smtd.202300756. Epub 2023 Sep 5.
Accurate prediction of the catalytic performance of nitrogen reduction reaction catalysts based on density functional theory (DFT) calculation is of great significance for developing catalytic materials for nitrogen fixation. However, the applied electrode potential induced the fixation of Fermi level and solvation effect are commonly ignored in the current computational hydrogen electrode method, which leads to the large deviation between the calculation predicted limit potential and the experimentally measured limit potential. In this work, the simple external iteration method is proposed to simulate the Fermi level of the catalysts that are fixed by the applied electrode potential, along with the hybrid solvent model to describe the strong interaction, such as hydrogen bond, between the solvent molecules and the intermediates. This method allowed the theoretical and experimental limit potentials to be in good agreement, indicating the significant effect of the electrode potential and solvation in the DFT calculation. These results will guide the calculation-based prediction of other reaction systems in the field of electrocatalysis.
基于密度泛函理论(DFT)计算准确预测氮还原反应催化剂的催化性能对于开发用于固氮的催化材料具有重要意义。然而,当前的计算氢电极方法通常忽略了外加电极电位引起的费米能级固定和溶剂化效应,这导致计算预测的极限电位与实验测量的极限电位之间存在较大偏差。在这项工作中,提出了一种简单的外部迭代方法来模拟由外加电极电位固定的催化剂的费米能级,并采用混合溶剂模型来描述溶剂分子与中间体之间的强相互作用,如氢键。该方法使得理论和实验极限电位吻合良好,表明电极电位和溶剂化在DFT计算中具有显著影响。这些结果将指导电催化领域基于计算的其他反应体系的预测。