Optimizing\nNitrate Reduction to Ammonia via Modulating\nAdsorption–Desorption Dynamics with High-Entropy CuNiCoZnMn\nAlloy Catalysts

NO<sub>3</sub>RR synthesis of ammonia is a complex eight-electron\nreaction involving multiple steps and intermediates, in which NO<sub>3</sub><sup>–</sup> adsorption and NH<sub>3</sub> desorption\nare crucial. The Cu-based high entropy quinary alloy catalyst has\ngood surface adsorption and desorption ability for the reduction of\nnitric acid to ammonia. Here, the catalytic sites were coordinated\nby constructing CuNiCoZnMn alloys to adjust the electronic structure\nof the catalytic sites to facilitate the reaction of the substrate\nand thus optimize the whole reaction path. Based on the ternary alloy\nCuNiCo, the introduction of the Zn element continues to reduce the\ndesorption energy barrier, and the introduction of the Mn element\ncontinues to enhance the initial adsorption energy so that the target\nproduct can be quickly held and released to accelerate the production\nof ammonia. The NH<sub>3</sub> yield and Faraday efficiency obtained\nfor the quinary CuNiCoZnMn alloy catalyst reached 723.7 μmol\nh<sup>–1</sup> cm<sup>–2</sup> and 96.6%, respectively,\nat −0.35 V vs RHE potential. The density functional theory\ncalculations showed that the quinary CuNiCoZnMn alloy (NO<sub>3</sub><sup>–</sup> to *NO<sub>3</sub><sup>–</sup>) initial\nadsorption-free energy change and (*NH<sub>3</sub> to NH<sub>3</sub>) NH<sub>3</sub> desorption-free energy change are −2.50,\n0.072 eV, respectively, which are significantly better than those\nof the ternary CuNiC and quaternary CuNiCoZn of −2.02, 0.544\neV and −1.97, 0.217 eV.

Publication Details

Journal
Figshare
Published
2024-08-08
DOI
https://doi.org/10.1021/acsami.4c07339.s001
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing\nNitrate Reduction to Ammonia via Modulating\nAdsorption–Desorption Dynamics with High-Entropy CuNiCoZnMn\nAlloy Catalysts

Figshare
Ammonia Synthesis and Nitrogen Reduction
article

Optimizing\nNitrate Reduction to Ammonia via Modulating\nAdsorption–Desorption Dynamics with High-Entropy CuNiCoZnMn\nAlloy Catalysts

article en

Abstract

NO<sub>3</sub>RR synthesis of ammonia is a complex eight-electron\nreaction involving multiple steps and intermediates, in which NO<sub>3</sub><sup>–</sup> adsorption and NH<sub>3</sub> desorption\nare crucial. The Cu-based high entropy quinary alloy catalyst has\ngood surface adsorption and desorption ability for the reduction of\nnitric acid to ammonia. Here, the catalytic sites were coordinated\nby constructing CuNiCoZnMn alloys to adjust the electronic structure\nof the catalytic sites to facilitate the reaction of the substrate\nand thus optimize the whole reaction path. Based on the ternary alloy\nCuNiCo, the introduction of the Zn element continues to reduce the\ndesorption energy barrier, and the introduction of the Mn element\ncontinues to enhance the initial adsorption energy so that the target\nproduct can be quickly held and released to accelerate the production\nof ammonia. The NH<sub>3</sub> yield and Faraday efficiency obtained\nfor the quinary CuNiCoZnMn alloy catalyst reached 723.7 μmol\nh<sup>–1</sup> cm<sup>–2</sup> and 96.6%, respectively,\nat −0.35 V vs RHE potential. The density functional theory\ncalculations showed that the quinary CuNiCoZnMn alloy (NO<sub>3</sub><sup>–</sup> to *NO<sub>3</sub><sup>–</sup>) initial\nadsorption-free energy change and (*NH<sub>3</sub> to NH<sub>3</sub>) NH<sub>3</sub> desorption-free energy change are −2.50,\n0.072 eV, respectively, which are significantly better than those\nof the ternary CuNiC and quaternary CuNiCoZn of −2.02, 0.544\neV and −1.97, 0.217 eV.

Figshare
Affordable and clean energy
Openalex Percentile: Top 82%
Ammonia Synthesis and Nitrogen Reduction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.