Role of Coordination Environment in Synergistic Catalysis: A Molecular Orbital Perspective on M <sub>1</sub> M <sub>2</sub> N <sub>6</sub> Catalysts

High Resolution Image Download MS PowerPoint Slide Visualizing the coordination environment-dependent synergistic mechanisms that govern the structural stability and adsorption behavior of dual-atom catalysts (DACs) is pivotal for precise catalyst design. However, insights into these mechanisms at the molecular orbital level remain elusive. Herein, we present large-scale density functional theory calculations to elucidate how synergistic effects arise from the combination of d atomic orbitals into molecular orbitals between M 1 and M 2 sites, with notable variations observed from M 1 –N 3 –M 2 –N 3 –C to M 1 –N 4 –M 2 –N 4 –C. We identify an average weakening of M 1 /M 2 –N bond strength in M 1 –N 3 –M 2 –N 3 –C relative to M 1 –N 4 –M 2 –N 4 –C, which is attributed to a shift from direct d x 2 –y 2 orbital overlap to nitrogen-mediated interactions involving the hybridization of bridge nitrogen 2 p orbitals. Using hydrogen as a model adsorbate, we demonstrate that hydrogen adsorption on M 1 –N 3 –M 2 –N 3 –C shifts from wild modulation via a bridge configuration to mild modulation through an end-on configuration, signifying a selective orbital coupling from d x 2 –y 2 to d z 2 orbitals. In contrast, hydrogen adsorption on M 1 –N 4 –M 2 –N 4 –C exhibits only mild modulation via an end-on configuration. This behavior is ascribed to the symmetry constraints of antibonding ( d - d / d *)- p * molecular orbitals near the Fermi level, mediated by nitrogen-mediated d z 2 - d z 2 * molecular orbitals. Furthermore, machine learning analyses corroborate these coordination environment-dependent synergistic mechanisms. Our findings provide a comprehensive molecular orbital-level understanding of how the interplay between coordination environments and electronic structures influences the properties of M 1 M 2 N 6 catalysts, thereby establishing a theoretical framework for enhanced DACs design.

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Journal
Journal of the American Chemical Society
Published
2026-07-16
DOI
https://doi.org/10.1021/jacs.6c08871
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

Role of Coordination Environment in Synergistic Catalysis: A Molecular Orbital Perspective on M 1 M 2 N 6 Catalysts

Ziyang Wu, Zhangsheng Shi, Xin Wang, Zheng Shu
Journal of the American Chemical Society
Machine Learning in Materials Science
article

Role of Coordination Environment in Synergistic Catalysis: A Molecular Orbital Perspective on M 1 M 2 N 6 Catalysts

Ziyang Wu, Zhangsheng Shi, Xin Wang, Zheng Shu
article en

Abstract

High Resolution Image Download MS PowerPoint Slide Visualizing the coordination environment-dependent synergistic mechanisms that govern the structural stability and adsorption behavior of dual-atom catalysts (DACs) is pivotal for precise catalyst design. However, insights into these mechanisms at the molecular orbital level remain elusive. Herein, we present large-scale density functional theory calculations to elucidate how synergistic effects arise from the combination of d atomic orbitals into molecular orbitals between M 1 and M 2 sites, with notable variations observed from M 1 –N 3 –M 2 –N 3 –C to M 1 –N 4 –M 2 –N 4 –C. We identify an average weakening of M 1 /M 2 –N bond strength in M 1 –N 3 –M 2 –N 3 –C relative to M 1 –N 4 –M 2 –N 4 –C, which is attributed to a shift from direct d x 2 –y 2 orbital overlap to nitrogen-mediated interactions involving the hybridization of bridge nitrogen 2 p orbitals. Using hydrogen as a model adsorbate, we demonstrate that hydrogen adsorption on M 1 –N 3 –M 2 –N 3 –C shifts from wild modulation via a bridge configuration to mild modulation through an end-on configuration, signifying a selective orbital coupling from d x 2 –y 2 to d z 2 orbitals. In contrast, hydrogen adsorption on M 1 –N 4 –M 2 –N 4 –C exhibits only mild modulation via an end-on configuration. This behavior is ascribed to the symmetry constraints of antibonding ( d - d / d *)- p * molecular orbitals near the Fermi level, mediated by nitrogen-mediated d z 2 - d z 2 * molecular orbitals. Furthermore, machine learning analyses corroborate these coordination environment-dependent synergistic mechanisms. Our findings provide a comprehensive molecular orbital-level understanding of how the interplay between coordination environments and electronic structures influences the properties of M 1 M 2 N 6 catalysts, thereby establishing a theoretical framework for enhanced DACs design.

Journal of the American Chemical Society
National University of Singapore (SG), City University of Hong Kong (HK), Donghua University (CN), Division of Materials Science and Engineering (AU)
City University of Hong Kong, Research Grants Council, University Grants Committee, Hong Kong Jockey Club
Openalex Percentile: Top 19%
Machine Learning in Materials Science
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