Data-Driven Accelerated Discovery Coupled with Precise Synthesis of Single-Atom Catalysts for Robust and Efficient...

Area of Science:

• Materials Science
• Environmental Chemistry
• Catalysis

Background:

• Traditional catalyst development relies on inefficient trial-and-error methods.
• Lack of controlled synthesis hinders the performance and efficiency of advanced catalysts.
• Accelerating the discovery of high-performance catalysts is crucial for environmental remediation.

Purpose of the Study:

• To accelerate the development of single-atom catalysts (SACs) for efficient water purification.
• To integrate data-driven prediction with precise synthesis for catalyst design.
• To validate and optimize SACs for enhanced catalytic activity and stability.

Main Methods:

• Utilized a data-driven approach to screen 43 metal-N4 structures for potential SACs.
• Employed a hard-template method for precise synthesis and structural modulation of SACs.
• Conducted density functional theory (DFT) calculations to understand catalytic mechanisms.

Main Results:

• Identified and synthesized a high-performance iron-based single-atom catalyst (Fe-SAC) with Fe-pyridine-N4 sites.
• Achieved ultra-high decontamination performance for sulfonamide antibiotics (rate constant of 100.97 min⁻¹ g⁻²).
• Demonstrated excellent stability and 100% degradation efficiency over 100 hours of continuous operation.

Conclusions:

• The integrated data-driven and precise synthesis strategy offers a novel paradigm for rapid catalyst development.
• The optimized Fe-SAC shows significant potential for environmental applications, particularly in water purification.
• This approach can be extended to other fields like sustainable energy and catalysis.