光催化
还原(数学)
材料科学
国家(计算机科学)
纳米技术
氢
制氢
化学工程
工艺工程
化学
计算机科学
工程类
数学
催化作用
有机化学
几何学
算法
作者
Saddam Sk,Hafijul Islam,B. Moses Abraham,Indranil Mondal,Ujjwal Pal
标识
DOI:10.1002/smtd.202401689
摘要
Abstract Metal–organic frameworks (MOFs) are highly studied for solar H 2 production from H 2 O due to their abundant active sites and open pore channels. Titanium (Ti) and Zirconium (Zr) MOFs are particularly noted for their stability and optoelectronic properties, resembling conventional metal oxide semiconductors. These MOFs allow molecular‐level tuning to alter optoelectronic properties, creating opportunities to enhance catalytic activity. Introducing defects in the MOF's structure is a versatile strategy for modifying molecular topology, morphology, and optical and electronic properties. This review compiles essential methods for synthesizing defect‐oriented MOFs, discussing characterization techniques and their structural and electronic modifications to boost catalytic activity. It also highlights the connection between photocatalytic H 2 production and MOF properties, exploring strategies to address current limitations using defective Ti and Zr‐based MOFs. Additionally, the role of machine learning (ML) in predicting MOF properties for faster material discovery and optimization is emphasized. This review aims to identify challenges and propose ideas for designing future defect‐oriented MOF photocatalysts.
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