Emerging 2D Materials for Green Ammonia Electrosynthesis: Integrating Experimental, Computation, and Machine Learning...

Area of Science:

• Materials Science
• Electrochemistry
• Sustainable Chemistry

Background:

• Electrochemical nitrogen reduction reaction (NRR) is a sustainable alternative for ammonia synthesis.
• Ammonia production is crucial for fertilizers and industry, but current methods have a large carbon footprint.
• Developing efficient and selective NRR catalysts is key to reducing environmental impact.

Purpose of the Study:

• To review emerging 2D materials for enhanced NRR efficiency, activity, and selectivity.
• To integrate theoretical and experimental insights for understanding NRR mechanisms.
• To evaluate the commercialization potential and challenges of green ammonia production.

Main Methods:

• Review of 2D materials (doped graphene, MXene, transition metal-based) for NRR.
• Integration of density functional theory (DFT) and machine learning (ML) for catalyst screening.
• Utilizing in situ characterization for mechanistic studies and reaction intermediate assessment.

Main Results:

• Emerging 2D materials show promise for improving NRR performance.
• Structure-activity relationships and reaction mechanisms are being elucidated through advanced computational and experimental techniques.
• Standardized protocols and cell designs are progressing for NRR evaluation.

Conclusions:

• Significant progress in NRR materials and understanding offers pathways for sustainable ammonia production.
• Techno-economic feasibility, renewable energy integration, and infrastructure are critical for commercialization.
• This review provides insights for developing decentralized green ammonia production.