Suppr超能文献

利用自动反应路径搜索方法预测完整催化循环:以 HCo(CO)3 催化的加氢甲酰化反应为例。

Toward Predicting Full Catalytic Cycle Using Automatic Reaction Path Search Method: A Case Study on HCo(CO)3-Catalyzed Hydroformylation.

机构信息

The Hakubi Center, Kyoto University , Kyoto 606-8302, Japan.

Fukui Institute for Fundamental Chemistry, Kyoto University , Kyoto 606-8103, Japan.

出版信息

J Chem Theory Comput. 2012 Feb 14;8(2):380-5. doi: 10.1021/ct200829p. Epub 2012 Jan 4.

Abstract

Toward systematic prediction of reaction pathways in complex chemical reaction systems by quantum chemical calculations, a new automatic reaction path search approach has been proposed on the basis of the artificial force induced reaction (AFIR) method [J. Chem. Theory Comput.2011, 7, 2335-2345.]. We demonstrate in this Letter that this approach enabled semiautomatic determination of the full catalytic cycle of the HCo(CO)3-catalyzed hydroformylation. The search was fully systematic; no initial guess was required concerning the entire reaction mechanism as well as each transition-state structure. This approach opens the door to nonempirical prediction of complex reaction mechanisms involving multiple steps in multiple pathways, such as full cycles of catalytic reactions.

摘要

为了通过量子化学计算对复杂化学反应体系中的反应途径进行系统预测,我们在人为力诱导反应(AFIR)方法的基础上提出了一种新的自动反应途径搜索方法[J. Chem. Theory Comput.2011, 7, 2335-2345.]。在本研究中,我们证明了该方法能够半自动确定 HCo(CO)3 催化加氢甲酰化的完整催化循环。该搜索是完全系统的;对于整个反应机制以及每个过渡态结构,都不需要初始猜测。该方法为非经验预测涉及多个途径的多个步骤的复杂反应机制(例如,催化反应的完整循环)开辟了道路。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验