Literature DB >> 34132010

Computational Screening of 3 d Transition Metal Atoms Anchored on Defective Graphene for Efficient Electrocatalytic N2 Fixation.

Wei Song1, Kun Xie2, Yongliang Guo1, Ling Fu3, Chaozheng He4,5.   

Abstract

The synthesis of ammonia (NH3 ) through the electrochemical reduction of molecular nitrogen (N2 ) is a promising strategy for significantly reducing energy consumption compared to traditional industrial processes. Herein, we report the design of a series of monovacancy and divacancy defective graphenes decorated with single 3d transition metal atoms (TM@MVG and TM@DVG; TM=Sc-Zn) as electrocatalysts for the nitrogen-reduction reaction (NRR) aided by density functional theory (DFT) calculations. By comparing energies for N2 adsorption as well as the free energies associated with *N2 activation and *N2 H formation, we successfully identified V@MVG, with the lowest potential of -0.63 V, to be an effective catalytic substrate for the NRR in an enzymatic mechanism. Electronic properties, including Bader charges, charge density differences, partial densities of states, and crystal orbital Hamilton populations, are further analyzed in detail. We believe that these results help to explain recent observations in this field and provide guidance for the exploration of efficient electrocatalysts for the NRR.
© 2021 Wiley-VCH GmbH.

Entities:  

Keywords:  defects; density functional calculations; electrocatalysis; graphene; nitrogen reduction reaction

Year:  2021        PMID: 34132010     DOI: 10.1002/cphc.202100257

Source DB:  PubMed          Journal:  Chemphyschem        ISSN: 1439-4235            Impact factor:   3.102


  1 in total

1.  Descriptors and graphical construction for in silico design of efficient and selective single atom catalysts for the eNRR.

Authors:  Samadhan Kapse; Shobhana Narasimhan; Ranjit Thapa
Journal:  Chem Sci       Date:  2022-08-05       Impact factor: 9.969

  1 in total

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