论文标题

过渡金属双核位点的高吞吐量筛选N2固定

High Throughput Screening of Transition Metal Binuclear Site for N2 Fixation

论文作者

Lv, Xingshuai, Wei, Wei, Huang, Baibiao, Dai, Ying, Frauenheim, Thomas

论文摘要

通过发现金属(M)-nx作为一个有希望的催化中心,引起了单个原子催化剂(SAC)对N2还原反应(NRR)的极大热情。但是,由于催化中心的吸附行为不适当,可用囊的性能(包括活动和选择性差)远离工业需求。通过第一原理,高吞吐量筛选,我们发现分布在氮化石碳(FE2/GCN)上的Fe-Fe双原子中心地点的合理构建损害了吸附N2H和NH2的能力,从而在23个不同的过渡金属(TM)中心中实现了最佳的NRR性能。我们的结果表明,FE2/GCN可以实现NH3生产的FARADIC效率100%。令人印象深刻的是,Fe2/GCN的限制潜力估计低至-0.13 V,这是迄今为止报告的理论结果中最低的值。从能量,电子结构和基本特征的角度来看,多级描述符(吸附的N2和集成晶体轨道汉密尔顿人口的过量电子)阐明了NRR活性的起源。作为电催化NRR期间无处不在的问题,可以同时克服源自底物分解的氨污染。我们的预测为NH3的电催化合成提供了一个新的平台,有助于进一步阐明结构 - 性能相关性。

Great enthusiasm in single atom catalysts (SACs) for the N2 reduction reaction (NRR) has been aroused by the discovery of Metal (M)-Nx as a promising catalytic center. However,the performance of available SACs,including poor activity and selectivity,is far away from the industrial requirement because of the inappropriate adsorption behaviors of the catalytic centers. Through the first principles high throughput screening, we find that the rational construction of Fe-Fe dual atom centered site distributed on graphite carbon nitride (Fe2/gCN) compromises the ability to adsorb N2H and NH2, achieving the best NRR performance among 23 different transition metal (TM) centers. Our results show that Fe2/gCN can achieve a Faradic efficiency of 100% for NH3 production. Impressively, the limiting potential of Fe2/gCN is estimated as low as -0.13 V, which is hitherto the lowest value among the reported theoretical results. Multiple level descriptors (excess electrons on the adsorbed N2 and integrated crystal orbital Hamilton population) shed light on the origin of NRR activity from the view of energy, electronic structure, and basic characteristics. As a ubiquitous issue during electrocatalytic NRR, ammonia contamination originating from the substrate decomposition can be surmounted. Our predictions offer a new platform for electrocatalytic synthesis of NH3, contributing to further elucidate the structure-performance correlations.

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