Novel two-dimensional molybdenene as a promising electrocatalyst for the nitrogen reduction reaction: a first-principles prediction

The exploration of two-dimensional (2D) metallenes is driven by their noteworthy attributes, encompassing high conductivity and substantial exposure of metal active sites, facilitating the development of nitrogen reduction reaction (NRR) electrocatalysts characterized by a low overpotential and superior selectivity. Here, employing first-principles swarm-intelligence structural search methods, we predict molybdenene as a novel and stable non-precious metallene, featuring a 2-atom-thick structure. Our findings demonstrate that the basal plane of molybdenene showcases remarkable catalytic activity with an overpotential of 0.27 V. Bader charge analysis reveals that the exposed Mo bonded to N<sub><i>x</i></sub>H<sub><i>y</i></sub> groups not only transfers electrons to these groups but also the remaining Mo transfers electrons to N<sub><i>x</i></sub>H<sub><i>y</i></sub> upon the breaking of NN bonds. This electron transfer mechanism contributes to elevated NRR catalytic activity. Our work broadens the scope of metallenes as promising electrocatalysts for the NRR with the expectation that more attention will be paid to emerging metallenes, thus offering a modest contribution to the theoretical exploration, fundamental understanding and practical application of metallenes.

Authors

Institutions

Publication Details

Journal
Nanoscale
Published
2024-11-19
DOI
https://doi.org/10.1039/d4nr03988b
Citations
4
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Novel two-dimensional molybdenene as a promising electrocatalyst for the nitrogen reduction reaction: a first-principles prediction

Song Yu, Dongxiao Yang, Gang Bi, Haibin Pan et al.
4 citations
Nanoscale
Ammonia Synthesis and Nitrogen Reduction
0.43
article

Novel two-dimensional molybdenene as a promising electrocatalyst for the nitrogen reduction reaction: a first-principles prediction

Song Yu, Dongxiao Yang, Gang Bi, Haibin Pan, Xiaoqian Zhou, Xuepeng Xu
article en
4 citations

Abstract

The exploration of two-dimensional (2D) metallenes is driven by their noteworthy attributes, encompassing high conductivity and substantial exposure of metal active sites, facilitating the development of nitrogen reduction reaction (NRR) electrocatalysts characterized by a low overpotential and superior selectivity. Here, employing first-principles swarm-intelligence structural search methods, we predict molybdenene as a novel and stable non-precious metallene, featuring a 2-atom-thick structure. Our findings demonstrate that the basal plane of molybdenene showcases remarkable catalytic activity with an overpotential of 0.27 V. Bader charge analysis reveals that the exposed Mo bonded to N<sub><i>x</i></sub>H<sub><i>y</i></sub> groups not only transfers electrons to these groups but also the remaining Mo transfers electrons to N<sub><i>x</i></sub>H<sub><i>y</i></sub> upon the breaking of NN bonds. This electron transfer mechanism contributes to elevated NRR catalytic activity. Our work broadens the scope of metallenes as promising electrocatalysts for the NRR with the expectation that more attention will be paid to emerging metallenes, thus offering a modest contribution to the theoretical exploration, fundamental understanding and practical application of metallenes.

NanoscaleVol. 17(2)
Hangzhou City University, Zhejiang University of Technology (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Zhejiang Province
Clean water and sanitation
Openalex Percentile: Top 47%
Ammonia Synthesis and Nitrogen Reduction
0.43
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.

Novel two-dimensional molybdenene as a promising electrocatalyst for the nitrogen reduction reaction: a first-principles prediction — Song Yu, Dongxiao Yang, et al. · Nanoscale (2024) | TGRS Research Map | TGRS