N-heterocyclic carbene coordinated single atom catalysts on C<sub>2</sub>N for enhanced nitrogen reduction

Single-atom catalysts (SACs) with N-heterocyclic carbene (NHC) coordination provide an effective strategy for enhancing nitrogen reduction reaction (NRR) performance by modulating the electronic properties of the metal active sites. In this work, we designed a novel NHC-coordinated SAC by embedding transition metals (TM) into a two-dimensional C2N-based nanomaterial (TM@C2N-NCM) and evaluated the NRR catalytic performance using a combination of density functional theory and machine learning. A multi-step screening identified eight high-performance catalysts (TM = Nb, Fe, Mn, W, V, Ta, Zr, Ti), with Nb@C2N-NCM showing the best performance (limiting potential = -0.29 V). All catalysts demonstrated lower limiting potential values compared to their TM@graphene-NCM counterparts, revealing the effectiveness of the C2N substrate in enhancing catalytic activity. Machine learning analysis achieved high predictive accuracy (coefficient of determination = 0.91; mean absolute error = 0.19) and identified final step protonation (S6), Mendeleev number (Nm), and d-electron count (Nd) as key factors influencing catalytic performance. This study offers valuable insights into the rational design of NHC-coordinated SACs and highlights the potential of C2N-based nanomaterials for advancing high-performance NRR electrocatalysts.

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Publication Details

Journal
Journal of Materials Informatics
Published
2024-12-28
DOI
https://doi.org/10.20517/jmi.2024.65
Citations
3
Primary Topic
Ammonia Synthesis and Nitrogen Reduction
Type
article
Field-Weighted Citation Impact
0.32

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article

N-heterocyclic carbene coordinated single atom catalysts on C2N for enhanced nitrogen reduction

Daifei Ye, Jing Xu, Wei Liu, Wenming Lu et al.
3 citations
Journal of Materials Informatics
Ammonia Synthesis and Nitrogen Reduction
0.32
article

N-heterocyclic carbene coordinated single atom catalysts on C2N for enhanced nitrogen reduction

Daifei Ye, Jing Xu, Wei Liu, Wenming Lu, Dian Zheng, Xiaxia Gong, Jiasheng Peng
article en
3 citations

Abstract

Single-atom catalysts (SACs) with N-heterocyclic carbene (NHC) coordination provide an effective strategy for enhancing nitrogen reduction reaction (NRR) performance by modulating the electronic properties of the metal active sites. In this work, we designed a novel NHC-coordinated SAC by embedding transition metals (TM) into a two-dimensional C2N-based nanomaterial (TM@C2N-NCM) and evaluated the NRR catalytic performance using a combination of density functional theory and machine learning. A multi-step screening identified eight high-performance catalysts (TM = Nb, Fe, Mn, W, V, Ta, Zr, Ti), with Nb@C2N-NCM showing the best performance (limiting potential = -0.29 V). All catalysts demonstrated lower limiting potential values compared to their TM@graphene-NCM counterparts, revealing the effectiveness of the C2N substrate in enhancing catalytic activity. Machine learning analysis achieved high predictive accuracy (coefficient of determination = 0.91; mean absolute error = 0.19) and identified final step protonation (S6), Mendeleev number (Nm), and d-electron count (Nd) as key factors influencing catalytic performance. This study offers valuable insights into the rational design of NHC-coordinated SACs and highlights the potential of C2N-based nanomaterials for advancing high-performance NRR electrocatalysts.

Journal of Materials Informatics
Zhejiang A & F University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 52%
Ammonia Synthesis and Nitrogen Reduction
0.32
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