Literature DB >> 29561001

Single transition metal atom embedded into a MoS2 nanosheet as a promising catalyst for electrochemical ammonia synthesis.

Jia Zhao1, Jingxiang Zhao1, Qinghai Cai1.   

Abstract

The electrochemical reduction of N2 to NH3 (NRR) under ambient conditions is significant for sustainable agriculture. Here, by means of density functional theory (DFT) computations, the potential of a series of single transition metal (TM) atoms embedded into a MoS2 monolayer with an S-vacancy (TM/MoS2) as electrocatalysts for NRR was systematically investigated. Our DFT results revealed that among all these considered candidate catalysts, the single Mo atom embedded into the MoS2 nanosheet was found to be the most active catalyst for NRR with an onset potential of -0.53 V, in which the hydrogenation of the adsorbed N2* to N2H* is the potential-determining step. The high stabilization of the N2H* species is responsible for the superior performance of the embedded Mo atom for the NRR, which is well consistent with its d-band center. Our findings may facilitate the further design of single-atom electrocatalysts with high efficiency for NH3 synthesis at room temperature.

Entities:  

Year:  2018        PMID: 29561001     DOI: 10.1039/C7CP08626A

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  3 in total

Review 1.  Versatile Applications of Metal Single-Atom @ 2D Material Nanoplatforms.

Authors:  Bin Zhang; Taojian Fan; Ni Xie; Guohui Nie; Han Zhang
Journal:  Adv Sci (Weinh)       Date:  2019-08-27       Impact factor: 16.806

Review 2.  MoS2 -Based Catalysts for N2 Electroreduction to NH3 - An Overview of MoS2 Optimization Strategies.

Authors:  Liang Tian; Jinxiu Zhao; Xiang Ren; Xu Sun; Qin Wei; Dan Wu
Journal:  ChemistryOpen       Date:  2021-10       Impact factor: 2.630

Review 3.  Atomic Modulation, Structural Design, and Systematic Optimization for Efficient Electrochemical Nitrogen Reduction.

Authors:  Yiyin Huang; Dickson D Babu; Zhen Peng; Yaobing Wang
Journal:  Adv Sci (Weinh)       Date:  2020-01-19       Impact factor: 16.806

  3 in total

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