Literature DB >> 33797214

High-Throughput Screening of a Single-Atom Alloy for Electroreduction of Dinitrogen to Ammonia.

Guokui Zheng1,2,3,4, Yanle Li2,3, Xu Qian2,3, Ge Yao5, Ziqi Tian2,3, Xingwang Zhang1,4, Liang Chen2,3.   

Abstract

Exploring electrocatalysts with high activity, selectivity, and stability is essential for the development of applicable electrocatalytic ammonia synthesis technology. By performing density functional theory calculations, we systematically investigated the potential of a series of transition-metal-doped Au-based single-atom alloys (SAAs) as promising electrocatalysts for nitrogen reduction reaction (NRR). The overall process for the Au-based electrocatalyst suffers from the limiting potential arising from the first hydrogenation step of the reduction of *N2 to *NNH. However, SAAs showed to be favorable toward lowering free energy barriers by increasing the binding strength of N2. According to simulation results, three descriptors were proposed to describe the first hydrogenation step ΔG(*N2 → *NNH): ΔG(*NNH), d-band center, and d/√Em. Eight doped elements (Ti, V, Nb, Ru, Ta, Os, W, and Mo) were initially screened out with a limiting potential ranging from -0.75 to -0.30 V. Particularly, Mo- and W-doped systems possess the best activity with a limiting potential of -0.30 V each. Then, the intrinsic relationship between the structure and potential performance was analyzed using machine learning. The selectivity, feasibility, and stability of these candidates were also evaluated, confirming that SAA containing Mo, Ru, Ta, and W could be outstanding NRR electrocatalysts. This work not only broadens our understanding of SAA application in electrocatalysis, but also leads to the discovery of novel NRR electrocatalysts.

Entities:  

Keywords:  electrocatalysis; high-throughput calculations; machine learning; nitrogen reduction reaction; single-atom alloy

Year:  2021        PMID: 33797214     DOI: 10.1021/acsami.1c01098

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  1 in total

1.  Stick or Spill? Scaling Relationships for the Binding Energies of Adsorbates on Single-Atom Alloy Catalysts.

Authors:  Romain Réocreux; E Charles H Sykes; Angelos Michaelides; Michail Stamatakis
Journal:  J Phys Chem Lett       Date:  2022-08-02       Impact factor: 6.888

  1 in total

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