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相关概念视频

Radical Reactivity: Overview01:11

Radical Reactivity: Overview

2.0K
Radicals, the highly reactive species, gain stability by undergoing three different reactions. The first reaction involves a radical-radical coupling, in which a radical combines with another radical, forming a spin‐paired molecule. The second reaction is between a radical and a spin‐paired molecule, generating a new radical and a new spin‐paired molecule. The third reaction is radical decomposition in a unimolecular reaction, forming a new radical and a spin‐paired...
2.0K
Radical Reactivity: Electrophilic Radicals01:02

Radical Reactivity: Electrophilic Radicals

1.8K
Radicals adjacent to electron‐withdrawing groups are called electrophilic radicals. These radicals readily react with nucleophilic alkenes. For example, the malonate radical, in which the radical center is flanked by two electron‐withdrawing groups, reacts readily with butyl vinyl ether, which consists of an electron‐donating oxygen substituent. The reaction between electrophilic malonate radical and nucleophilic vinyl ether is favored because the radical has a...
1.8K
Radical Reactivity: Nucleophilic Radicals01:16

Radical Reactivity: Nucleophilic Radicals

2.0K
Radicals adjacent to electron-donating groups are called nucleophilic radicals. These radicals readily react with electrophilic alkenes. The SOMO–LUMO interactions are the driving force for the reaction, where the high-energy SOMO of the electron-rich, nucleophilic radicals interacts with the low-energy LUMO of the electron-deficient, electrophilic alkenes. Such SOMO–LUMO interactions are the basis of reactive radical traps, affecting the selectivity in radical reactions. For...
2.0K
Radical Reactivity: Intramolecular vs Intermolecular01:33

Radical Reactivity: Intramolecular vs Intermolecular

1.7K
Radical reactions can occur either intermolecularly or intramolecularly. In an intermolecular radical reaction, a nucleophilic radical adds to an electrophilic alkene or vice versa. In such reactions, the radical and generally the alkene, which is also called the radical trap, are two different molecules. Additionally, for such intermolecular reactions to occur, the radical trap must be active, present in an excess concentration, and the radical starting material must have a weak...
1.7K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

8.2K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
8.2K
Radical Reactivity: Steric Effects01:10

Radical Reactivity: Steric Effects

1.9K
The presence of electron-donating, electron-withdrawing, or conjugating groups adjacent to a radical center, imparts electronic stabilization to the radicals. Examples of such electronically-stabilized radicals are triphenylmethyl, tetramethylpiperidine‐N‐oxide, and 2,2‐diphenyl‐1‐picrylhydrazyl. These radicals are remarkably stable and are known as persistent radicals. Some of the persistent radicals can even be isolated and purified.
Along with electronic...
1.9K

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Free Radicals in Chemical Biology: from Chemical Behavior to Biomarker Development
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化学信息深度学习用于可解释的激进反应预测.

Mohammadamin Tavakoli1, Yin Ting T Chiu2, Ann Marie Carlton2

  • 1Department of Computer Science, University of California, Irvine, Irvine, California 92697, United States.

Journal of chemical information and modeling
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PubMed
概括
此摘要是机器生成的。

这项研究引入了有机基反应的预测框架,在预测反应产物和轨道相互作用方面达到96%的准确性. 该工具有助于识别各种化学应用的反应途径,中间体和副产品.

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科学领域:

  • 化学 化学 化学
  • 计算化学计算化学
  • 预测化学反应的方法

背景情况:

  • 有机基反应是合成,生物和大气化学的基础.
  • 预测这些反应的结果对于理解和控制化学过程至关重要.

研究的目的:

  • 开发一个机械级有机基反应的预测框架.
  • 根据分子轨道相互作用提供可解释的预测.

主要方法:

  • 开发了一个化学意识模型,专注于分子轨道相互作用.
  • 该模型使用RMechDB数据库的激进反应步骤进行训练和评估.
  • 通过链接模型预测来实现路径搜索.

主要成果:

  • 该模型在预测RMechDB测试集上正确的轨道相互作用和产物方面达到96%的准确性.
  • 途径搜索成功地确定了大气和聚合化学问题中的中间体和副产品.
  • 该RMechRP工具可在网上公开使用.

结论:

  • 开发的框架为有机激进反应提供了准确和可解释的预测.
  • 途径搜索能力增强了对复杂的激素反应机制的理解.
  • 这种方法对推进化学合成,大气科学和聚合研究具有重要意义.