Suppr超能文献

A DFT study of the catalytic pyrolysis of benzaldehyde on ZnO, γ-AlO, and CaO models.

作者信息

Cui Li-Ping, Liu Jiang-Tao, Liu Shi-Zhong, Wang Ming-Fei, Gao Zhi-Hua, Zuo Zhi-Jun, Huang Wei

机构信息

Key Laboratory of Coal Science and Technology of Ministry of Education and Shanxi Province, Taiyuan University of Technology, Taiyuan, Shanxi, 030024, China.

Department of Chemistry, Stony Brook University, Stony Brook, NY, 11794, USA.

出版信息

J Mol Model. 2018 Feb 21;24(3):65. doi: 10.1007/s00894-018-3587-x.

Abstract

The catalytic pyrolysis pathways of carbonyl compounds in coal were systematically studied using density functional theory (DFT), with benzaldehyde (CHCHO) employed as a coal-based model compound and ZnO, γ-AlO, and CaO as catalysts. The results show that the products of both pyrolysis and catalytic pyrolysis are CH and CO. However, the presence of any of the catalysts changes the reaction pathway and reduces the energy barrier, indicating that these catalysts promote CHCHO decomposition. Graphical abstract The presence of catalysts changes the reaction pathway and the energy barrier decreases in the order Ea (no catalyst)> Ea (CaO)> Ea (γ-AlO)> Ea (ZnO), indicating that these catalysts promote CHCHO decomposition.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验