Sanmei Wang , Yong Zhou , Hengxin Fang , Chunyang Nie , Chang Q Sun , Biao Wang
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引用次数: 0
Abstract
Charge-neutral method (CNM) is extensively used in investigating the performance of catalysts and the mechanism of N2 electrochemical reduction (NRR). However, disparities remain between the predicted potentials required for NRR by the CNM methods and those observed experimentally, as the CNM method neglects the charge effect from the electrode potential. To address this issue, we employed the constant electrode potential (CEP) method to screen atomic transition metal-N-graphene (M1/N-graphene) as NRR electrocatalysts and systematically investigated the underlying catalytic mechanism. Among eight types of M1/N-graphene (M1 = Mo, W, Fe, Re, Ni, Co, V, Cr), W1/N-graphene emerges as the most promising NRR electrocatalyst with a limiting potential as low as −0.13 V. Additionally, the W1/N-graphene system consistently maintains a positive charge during the reaction due to its Fermi level being higher than that of the electrode. These results better match with the actual circumstances compared to those calculated by conventional CNM method. Thus, our work not only develops a promising electrocatalyst for NRR but also deepens the understanding of the intrinsic electrocatalytic mechanism.
电荷中性法(CNM)被广泛用于研究催化剂的性能和N2电化学还原(NRR)的机理。然而,由于CNM方法忽略了电极电位的电荷效应,因此CNM方法预测的NRR所需电位与实验观察到的电位之间仍然存在差异。为了解决这一问题,我们采用恒电极电位(CEP)方法筛选原子过渡金属- n -石墨烯(M1/ n -石墨烯)作为NRR电催化剂,并系统地研究了潜在的催化机制。在8种类型的M1/ n -石墨烯(M1 = Mo, W, Fe, Re, Ni, Co, V, Cr)中,W1/ n -石墨烯是最有前途的NRR电催化剂,其极限电位低至- 0.13 V。此外,W1/ n -石墨烯体系在反应过程中始终保持正电荷,因为它的费米能级高于电极的费米能级。与传统CNM方法计算的结果相比,这些结果更符合实际情况。因此,我们的工作不仅为NRR开发了一种有前景的电催化剂,而且加深了对内在电催化机理的理解。
期刊介绍:
Chinese Chemical Letters (CCL) (ISSN 1001-8417) was founded in July 1990. The journal publishes preliminary accounts in the whole field of chemistry, including inorganic chemistry, organic chemistry, analytical chemistry, physical chemistry, polymer chemistry, applied chemistry, etc.Chinese Chemical Letters does not accept articles previously published or scheduled to be published. To verify originality, your article may be checked by the originality detection service CrossCheck.