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Designing C3N-supported single atom catalysts for efficient nitrogen reduction based on descriptor of catalytic activity
Carbon ( IF 10.5 ) Pub Date : 2021-06-07 , DOI: 10.1016/j.carbon.2021.05.066
Wei Nong , Shihan Qin , Fan Huang , Haikuan Liang , Zhen Yang , Chenze Qi , Yan Li , Chengxin Wang

The two-step strategy screening based high throughput calculation is an effective method to search for highly active single atom catalysts (SACs) for efficient nitrogen reduction reaction (NRR), sharing a common feature of active metal centers MN4. However, this method faces the lack of descriptor for designing SACs due to limited data. Herein we proposed a robust empirical rule to estimate 312 credible limiting potentials for NRR over 104 C3N-supported SACs. It is found that the limiting potential scales clearly with the adsorption free energies of two key reaction intermediates (∗N2H and ∗NH2), which are significantly dependent on the structure relating descriptor φ, and the activity of SACs with and without N coordination exhibits similar catalytic efficiency. We identified four high-performance SACs having moieties of CrC2N2, CrC4, MnC4 and OsC4 with high selectivity towards NRR and competitive limiting potentials of −0.40, −0.45, −0.53 and −0.54 V, respectively. The φ values for these four SACs are around 19–25 which fall within its optimal ranges of 20–25 validating its prediction fidelity. This work broadens the discovery of two-dimensional carbon-nitrides supported SACs free of N coordination towards efficient N2 reduction and opens a new route of descriptor-guided design of efficient SACs for electrocatalysis process.



中文翻译:

基于催化活性描述符设计用于高效氮还原的C 3 N 负载单原子催化剂

基于高通量计算的两步策略筛选是寻找用于高效氮还原反应 (NRR) 的高活性单原子催化剂 (SAC) 的有效方法,具有活性金属中心 MN 4的共同特征。然而,由于数据有限,该方法面临缺乏设计 SAC 的描述符。在此,我们提出了一个稳健的经验规则来估计 104 个 C 3 N 支持的 SAC 上NRR 的 312 个可信限制潜力。发现极限电位与两个关键反应中间体(*N 2 H 和 ∗NH 2),这在很大程度上取决于与描述符 φ 相关的结构,并且有和没有 N 配位的 SAC 的活性表现出相似的催化效率。我们确定了具有CRC部分四个高性能的SAC 2 Ñ 2,CRC 4,MNC 4和OSC 4具有朝向NRR高选择性和-0.40,-0.45,-0.53和-0.54分别V,有竞争力的限制的电势。这四个 SAC 的 φ 值约为 19-25,落在其 20-25 的最佳范围内,验证了其预测保真度。这项工作拓宽了对二维碳氮化物支持的 SAC 的发现,该 SAC 没有 N 配位,可实现高效的 N 2 并为电催化过程中高效 SAC 的描述符引导设计开辟了一条新途径。

更新日期:2021-06-15
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