Atom-realm effect for the design of dual-atom catalysts and reaction mechanisms
Special Issue on Celebrating the 100th Anniversary of the School of Chemical Engineering and Technology of Tianjin University|Updated:2026-01-08
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Atom-realm effect for the design of dual-atom catalysts and reaction mechanisms
Chinese Journal of Chemical EngineeringVol. 86, Issue 10, Pages: 233-242(2025)
Affiliations:
1. Institute of Molecular Engineering Plus, College of Chemistry, Fuzhou University,Fuzhou,China,50108
2. Key Laboratory of Luminescence and Optical Information, Ministry of Education, School of Physical Science and Engineering, Beijing Jiaotong University,Beijing,China,100044
3. Key Laboratory of Photochemistry, Institute of Chemistry, Chinese Academy of Sciences,Beijing,China,100190
Jingnan Wang, Xi Wang, Jiannian Yao. Atom-realm effect for the design of dual-atom catalysts and reaction mechanisms[J]. Chinese Journal of Chemical Engineering, 2025, 86(10): 233-242.
DOI:
Jingnan Wang, Xi Wang, Jiannian Yao. Atom-realm effect for the design of dual-atom catalysts and reaction mechanisms[J]. Chinese Journal of Chemical Engineering, 2025, 86(10): 233-242.DOI: 10.1016/j.cjche.2025.06.015.
Atom-realm effect for the design of dual-atom catalysts and reaction mechanisms
摘要
Abstract
The atom-realm effect (AR) represents a transformative paradigm in catalytic materials design
enabling dynamic electronic reconstruction and reaction pathway engineering through localized microenvironment modulation. By introducing heteroatoms to induce atomic-scale rearrangements of electronic structures
geometric configurations
and quantum wavefunctions
this strategy overcomes the limitations of traditional catalysts constrained by static active sites and global electronic regulation. The AR mechanism facilitates selective bond cleavage and directional reassembly
via
dual-atom communicative effects and spin-polarization control
as demonstrated in electrocatalytic reaction
thermal-catalytic reaction
and fuel cells. Advanced synthesis strategies incorporating vacancy engineering and atomic layer deposition
coupled with operando characterization techniques
reveal dynamic interface evolution at sub-angstrom resolution. While significant progress has been achieved
future development requires time-resolved bond dynami
cs analysis
machine learning-driven multiscale modeling
and continuous-flow fabrication to realize photonic-magnetic-thermal synergies in next-generation catalytic systems. This perspective establishes AR as a universal framework bridging quantum-level electronic manipulation with macroscopic catalytic performance optimization.
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