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Updated: Mar 21, 2026
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Solar-Driven Electrochemical Green Fuel Production from CO2 and Water Using Ti3C2Tx MXene-Supported CuZn and NiCo Catalysts
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Science-Towards-Technology Breakthrough in CO2 Electroreduction: Multiphysics, Multiscale, and Artificial
Ping Hong1,2, Changfan Xu2, Huaping Zhao2
1School of Environmental & Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu, P. R. China.
Advanced Materials (Deerfield Beach, Fla.)
|March 20, 2026
Summary
Electrochemical carbon dioxide reduction (eCO2RR) converts CO2 into valuable chemicals. This review proposes a multi-scale framework integrating AI and multi-physics for industrial eCO2RR applications, bridging lab science and engineering practice.
Area of Science:
- Electrochemistry
- Catalysis
- Materials Science
- Chemical Engineering
Background:
- Electrochemical carbon dioxide reduction (eCO2RR) is crucial for converting CO2 into valuable chemicals.
- Current research faces a gap between laboratory findings and industrial application, often lacking integrated multi-physics and AI approaches.
- Existing reviews focus on material-structure-performance, neglecting a holistic systems engineering perspective.
Purpose of the Study:
- To establish a multi-scale research framework for industrializing eCO2RR, moving beyond traditional models.
- To integrate atomic-level mechanisms, interface engineering, external field optimization, and AI-driven design.
- To provide a systematic research pathway for eCO2RR, from materials to devices and experiments to systems.
Main Methods:
- Atomic-level mechanism interpretation and characterization.
- Interface microenvironment regulation strategies.
- External field-assisted optimization techniques.
- AI-driven material design and reaction prediction.
Main Results:
- A comprehensive research blueprint for eCO2RR industrialization.
- Integration of fundamental mechanisms with system-level engineering.
- Synergistic strategies for material development, device engineering, and AI application.
- Methodological references for AI-enabled catalysis and external field enhancement.
Conclusions:
- A systematic research pathway is proposed for eCO2RR, emphasizing closed-loop integration of mechanism, characterization, and optimization.
- The review highlights the importance of a holistic approach combining multi-physics, multi-scale, and AI for industrial eCO2RR.
- This work offers strategic references for advancing electrochemical carbon resource conversion technologies.
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