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用于析氢反应的单原子催化剂筛选的关键成分:以氮化钛为例

Key Ingredients for the Screening of Single Atom Catalysts for the Hydrogen Evolution Reaction: The Case of Titanium Nitride.

作者信息

Saetta Clara, Barlocco Ilaria, Liberto Giovanni Di, Pacchioni Gianfranco

机构信息

Dipartimento di Scienza dei Materiali, Università degli studi di Milano Bicocca, Via R. Cozzi 55, Milano, 20125, Italy.

出版信息

Small. 2024 Sep;20(37):e2401058. doi: 10.1002/smll.202401058. Epub 2024 Apr 26.

DOI:10.1002/smll.202401058
PMID:38671564
Abstract

A computational screening of Single Atom Catalysts (SACs) bound to titanium nitride (TiN) is presented, for the Hydrogen Evolution Reaction (HER), based on density functional theory. The role of fundamental ingredients is explored to account for a reliable screening of SACs. Namely, the formation of H-complexes besides the classical H one impacts the predicted HER activity, in line with previous studies on other SACs. Also, the results indicate that one needs to adopt self-interaction-corrected functionals. Finally, predicting an active catalyst is of little help without an assessment of its stability. Thus, it is included in the theoretical framework the analysis of the stability of the SACs in working conditions of pH and voltage. Once unconventional intermediates and stability are considered in a self-interaction corrected scheme, the number of potential good catalysts for HER is strongly reduced since i) some potentially good catalysts are not stable against dissolution and ii) the formation of unconventional intermediates leads to thermodynamic barriers. This study highlights the importance of including ingredients for the prediction of new systems, such as the formation of unconventional intermediates, estimating the stability of SACs, and the adoption of self-interaction corrected functionals. Also, this study highlights some interesting candidates deserving of dedicated work.

摘要

基于密度泛函理论,提出了一种用于筛选与氮化钛(TiN)结合的单原子催化剂(SAC)以用于析氢反应(HER)的计算方法。研究了基本成分的作用,以实现对SAC的可靠筛选。具体而言,除了经典的氢复合物外,氢复合物的形成也会影响预测的HER活性,这与之前对其他SAC的研究一致。此外,结果表明需要采用自相互作用校正泛函。最后,如果不评估催化剂的稳定性,预测活性催化剂几乎没有帮助。因此,在理论框架中纳入了对SAC在pH和电压工作条件下稳定性的分析。一旦在自相互作用校正方案中考虑了非常规中间体和稳定性,HER潜在的良好催化剂数量就会大幅减少,原因如下:一是一些潜在的良好催化剂在溶解方面不稳定;二是非常规中间体的形成会导致热力学障碍。这项研究强调了纳入新系统预测要素的重要性,如非常规中间体的形成、评估SAC的稳定性以及采用自相互作用校正泛函。此外,这项研究还突出了一些值得专门研究的有趣候选物。

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