Misra Debolina, Di Liberto Giovanni, Pacchioni Gianfranco
Department of Physics, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai 600127, India.
Dipartimento di Scienza dei Materiali, Università di Milano - Bicocca, via R. Cozzi 55, Milano 20125, Italy.
Phys Chem Chem Phys. 2024 Apr 3;26(14):10746-10756. doi: 10.1039/d4cp00175c.
One key process involving single atom catalysts (SACs) is the electroreduction of CO to fuels. The chemistry of SACs differs largely from that of extended catalytic surfaces, presenting an opportunity to improve the ability to activate very stable molecules, such as CO. In this work, we performed a density functional theory (DFT) study of CO activation on a series of SACs, focusing on the role played by the adopted functional in activity predictions. The role of the exchange-correlation functional has been widely investigated in heterogenous catalysts, but it is less explored in SACs. We tested the widely used PBE and the PBE+ corrected functionals against the more robust hybrid PBE0 functional. The results show that PBE is reliable if one is interested in qualitative predictions, but it leads to some inaccuracies in other cases. A possible way to attenuate this effect is by adopting the PBE+ framework, as it gives results that are very similar to PBE0 at an acceptable computational cost. The results of this study further underline the importance of the computational framework adopted in predicting the activity of SACs. The work suggests that one needs to go beyond PBE for quantitative estimates, an important consideration when performing screening and high-throughput calculations.
涉及单原子催化剂(SACs)的一个关键过程是将CO电还原为燃料。SACs的化学性质与扩展催化表面的化学性质有很大不同,这为提高活化非常稳定的分子(如CO)的能力提供了机会。在这项工作中,我们对一系列SACs上的CO活化进行了密度泛函理论(DFT)研究,重点关注所采用的泛函在活性预测中所起的作用。交换关联泛函在多相催化剂中的作用已得到广泛研究,但在SACs中的研究较少。我们将广泛使用的PBE和PBE +校正泛函与更稳健的杂化PBE0泛函进行了测试。结果表明,如果对定性预测感兴趣,PBE是可靠的,但在其他情况下会导致一些不准确。减弱这种影响的一种可能方法是采用PBE +框架,因为它以可接受的计算成本给出与PBE0非常相似的结果。这项研究的结果进一步强调了在预测SACs活性时所采用的计算框架的重要性。这项工作表明,对于定量估计,需要超越PBE,这是进行筛选和高通量计算时的一个重要考虑因素。