Chrome Extension
WeChat Mini Program
Use on ChatGLM

Decoupling H2 and O2 Release in Particulate Photocatalytic Overall Water Splitting Using a Reversible O2 Binder

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION(2025)

Fuzhou University | Nanjing Tech Univ

Cited 0|Views5
Abstract
H2 and O2 evolutions occur simultaneously for conventional particulate photocatalytic overall water splitting (PPOWS), leading to a significant backward reaction and the formation of an explosive H2/O2 gas mixture. This is an issue that must be addressed prior to industrialization of PPOWS. Here, a convenient, cost‐effective, and scalable concept is introduced to uncouple hydrogen and oxygen production for PPOWS. Based on this idea, a three‐component photocatalyst, Co(5%)‐HPCN/(rGO/Pt), is constructed, consisting of a photoresponsive chip (HPCN), a H2 evolution cocatalyst (rGO/Pt), and a cobalt complex capable of reversibly binding O2 (Co), to achieve the decoupling of PPOWS under alternating UV and visible light irradiations. The asynchronous O2 and H2 evolution strategy have considerable flexibility regarding the photocatalyst structure and light sources suitable for PPOWS.
More
Translated text
Key words
photocatalytic,overall water splitting,reaction mechanism,carbon nitride chips,PPOWS decoupling
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:提出了一种利用可逆氧结合剂实现粒子光催化整体水分解中H2和O2释放解耦的新概念,有效解决了传统方法中的爆炸性气体混合物问题。

方法】:构建了一种由光响应芯片(HPCN)、H2演化助催化剂(rGO/Pt)和可逆氧结合钴复合物(Co)组成的三组分光催化剂(Co(5%)‐HPCN/(rGO/Pt)),在交替的紫外和可见光照射下实现H2和O2的解耦。

实验】:通过交替的紫外和可见光照射实验,使用三组分光催化剂(Co(5%)‐HPCN/(rGO/Pt))实现了H2和O2的解耦,实验结果显示该策略在PPOWS中具有显著效果。文中未提及具体的数据集名称。