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Title: Prediction of Highly Selective Electrocatalytic Nitrogen Reduction at Low Overpotential on a Mo-Doped g-GaN Monolayer

Abstract

Identifying efficient electrocatalysts with low overpotential and high selectivity for producing ammonia from nitrogen gas is essential for any future electrocatalytic nitrogen reduction reaction (NRR)-based ammonia synthesis. Via density functional theory calculations and the computational hydrogen electrode model, we systematically examine the prospect of using a single-transition-metal (TM)-atom-doped graphene-like GaN (g-GaN) monolayer as an electrocatalyst for artificial nitrogen reduction. Among 15 TMs investigated, the Mo-doped g-GaN (Mo@g-GaN) monolayer is the only electrocatalyst predicted to be feasible for the NRR. The Mo@g-GaN monolayer satisfies all screening criteria considered for activating the inert N≡N triple bond effectively, including stabilization of the adsorbed (*) NRR intermediate *NNH and destabilization of the *NH2 species. This monolayer also possesses sufficient overall stability. A complete analysis of the likely mechanisms involved in the NRR on this catalyst suggests that the Mo@g-GaN monolayer could exhibit promising NRR catalytic activity. It achieves this via one specific (distal) pathway, which has a very low onset potential of –0.33 V vs the reversible hydrogen electrode (RHE), corresponding to a low overpotential of 0.42 V vs the RHE, defined using the measured equilibrium potential for NRR of 0.09 V vs the RHE. The potential-determining step, conversion of *NH2 to *NH3, alsomore » exhibits a surmountable barrier of 0.42 eV, suggesting kinetics will be facile. Finally, the Mo@g-GaN monolayer is predicted to exhibit substantial selectivity (~31%) toward ammonia synthesis over the competing hydrogen evolution reaction. The finding presented in this work may open a potential route for artificial ammonia synthesis using a single-atom catalyst under ambient conditions.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [3]
  1. Princeton Univ., NJ (United States)
  2. Univ. of California, Los Angeles, CA (United States)
  3. Princeton Univ., NJ (United States); Univ. of California, Los Angeles, CA (United States)
Publication Date:
Research Org.:
Princeton Univ., NJ (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1808601
Grant/Contract Number:  
SC0002120
Resource Type:
Accepted Manuscript
Journal Name:
ACS Catalysis
Additional Journal Information:
Journal Volume: 10; Journal Issue: 21; Journal ID: ISSN 2155-5435
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; 36 MATERIALS SCIENCE; 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 77 NANOSCIENCE AND NANOTECHNOLOGY; free energy; GaN monolayers; solvation model; ammonia synthesis; single-atom catalyst; nitrogen reduction reaction

Citation Formats

Li, Lesheng, Martirez, J. M. P., and Carter, Emily A. Prediction of Highly Selective Electrocatalytic Nitrogen Reduction at Low Overpotential on a Mo-Doped g-GaN Monolayer. United States: N. p., 2020. Web. doi:10.1021/acscatal.0c03140.
Li, Lesheng, Martirez, J. M. P., & Carter, Emily A. Prediction of Highly Selective Electrocatalytic Nitrogen Reduction at Low Overpotential on a Mo-Doped g-GaN Monolayer. United States. https://doi.org/10.1021/acscatal.0c03140
Li, Lesheng, Martirez, J. M. P., and Carter, Emily A. Tue . "Prediction of Highly Selective Electrocatalytic Nitrogen Reduction at Low Overpotential on a Mo-Doped g-GaN Monolayer". United States. https://doi.org/10.1021/acscatal.0c03140. https://www.osti.gov/servlets/purl/1808601.
@article{osti_1808601,
title = {Prediction of Highly Selective Electrocatalytic Nitrogen Reduction at Low Overpotential on a Mo-Doped g-GaN Monolayer},
author = {Li, Lesheng and Martirez, J. M. P. and Carter, Emily A.},
abstractNote = {Identifying efficient electrocatalysts with low overpotential and high selectivity for producing ammonia from nitrogen gas is essential for any future electrocatalytic nitrogen reduction reaction (NRR)-based ammonia synthesis. Via density functional theory calculations and the computational hydrogen electrode model, we systematically examine the prospect of using a single-transition-metal (TM)-atom-doped graphene-like GaN (g-GaN) monolayer as an electrocatalyst for artificial nitrogen reduction. Among 15 TMs investigated, the Mo-doped g-GaN (Mo@g-GaN) monolayer is the only electrocatalyst predicted to be feasible for the NRR. The Mo@g-GaN monolayer satisfies all screening criteria considered for activating the inert N≡N triple bond effectively, including stabilization of the adsorbed (*) NRR intermediate *NNH and destabilization of the *NH2 species. This monolayer also possesses sufficient overall stability. A complete analysis of the likely mechanisms involved in the NRR on this catalyst suggests that the Mo@g-GaN monolayer could exhibit promising NRR catalytic activity. It achieves this via one specific (distal) pathway, which has a very low onset potential of –0.33 V vs the reversible hydrogen electrode (RHE), corresponding to a low overpotential of 0.42 V vs the RHE, defined using the measured equilibrium potential for NRR of 0.09 V vs the RHE. The potential-determining step, conversion of *NH2 to *NH3, also exhibits a surmountable barrier of 0.42 eV, suggesting kinetics will be facile. Finally, the Mo@g-GaN monolayer is predicted to exhibit substantial selectivity (~31%) toward ammonia synthesis over the competing hydrogen evolution reaction. The finding presented in this work may open a potential route for artificial ammonia synthesis using a single-atom catalyst under ambient conditions.},
doi = {10.1021/acscatal.0c03140},
journal = {ACS Catalysis},
number = 21,
volume = 10,
place = {United States},
year = {Tue Oct 20 00:00:00 EDT 2020},
month = {Tue Oct 20 00:00:00 EDT 2020}
}

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Combining theory and experiment in electrocatalysis: Insights into materials design
journal, January 2017


Rational design of electrocatalysts and photo(electro)catalysts for nitrogen reduction to ammonia (NH 3 ) under ambient conditions
journal, January 2018

  • Guo, Chunxian; Ran, Jingrun; Vasileff, Anthony
  • Energy & Environmental Science, Vol. 11, Issue 1
  • DOI: 10.1039/C7EE02220D

Achieving a Record-High Yield Rate of 120.9 μgNH3  mgcat.−1  h−1 for N 2 Electrochemical Reduction over Ru Single-Atom Catalysts
journal, August 2018


Atomically Dispersed Molybdenum Catalysts for Efficient Ambient Nitrogen Fixation
journal, January 2019

  • Han, Lili; Liu, Xijun; Chen, Jinping
  • Angewandte Chemie International Edition, Vol. 58, Issue 8
  • DOI: 10.1002/anie.201811728