透视图(图形)
半导体
共价键
多孔性
材料科学
可见光谱
多孔介质
分解水
纳米技术
光电子学
工程物理
化学物理
物理
计算机科学
化学
有机化学
量子力学
复合材料
光催化
人工智能
催化作用
作者
Yu‐Ting Wu,Haifeng Lv,Xiaojun Wu
出处
期刊:Chinese Journal of Structural Chemistry
日期:2024-06-25
卷期号:43 (11): 100375-100375
被引量:2
标识
DOI:10.1016/j.cjsc.2024.100375
摘要
Utilizing sunlight to split water into H2 and O2 is a highly promising approach in renewable energy production approaches. Recently, significant efforts have been devoted to develop innovative photocatalysts for splitting water. Metal-free two-dimensional (2D) covalent organic frameworks (COFs) are emerging as ideal catalytic platforms for this purpose. However, the rational design of these materials requires appropriate band alignment and active sites capable of catalyzing both hydrogen and oxygen evolution reactions, which depends on the judicious selection of molecular precursors. To address these requirements, first-principles calculations have proven to be an efficient method for designing and screening potential photocatalysts. Here, we provide a concise overview of recent advancements in the development of 2D COFs photocatalysts for overall water splitting (OWS), examining it from a theoretical perspective. This includes outlining the design principles, exploring the data-driven discovery of potential candidates using a COFs database, and applying machine learning techniques to predict the electronic structure of COFs based on the molecular orbitals of their precursors. Furthermore, we discuss the accuracy of current computational methods and address future challenges and potential of 2D COFs in practical applications for OWS. © 2017 Elsevier Inc. All rights reserved.
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