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相关概念视频

Base-Catalyzed Ring-Opening of Epoxides02:26

Base-Catalyzed Ring-Opening of Epoxides

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Due to their highly strained structures, epoxides can readily undergo ring-opening reactions through nucleophilic substitution, either in the presence of an acid or a base. The nucleophilic substitution reactions in the presence of acid are called acid-catalyzed ring-opening reactions, and nucleophilic substitution reactions in the presence of a base are called base-catalyzed ring-opening reactions. Epoxides undergo base-catalyzed ring-opening reactions in the presence of a strong nucleophile...
8.5K
Olefin Metathesis Polymerization: Ring-Opening Metathesis Polymerization (ROMP)01:16

Olefin Metathesis Polymerization: Ring-Opening Metathesis Polymerization (ROMP)

2.6K
Ring-opening metathesis polymerization or ROMP involves strained cycloalkenes as starting materials. The mechanism of ROMP proceeds by reacting cycloalkene with Grubbs catalyst to give metallacyclobutane intermediate which undergoes a ring-opening reaction to form new carbene. The new carbene reacts with another molecule of cycloalkene. Repetition of these steps leads to the formation of an unsaturated open-chain polymer product. All these steps are reversible, however, relieving the ring...
2.6K
Acid-Catalyzed Ring-Opening of Epoxides02:24

Acid-Catalyzed Ring-Opening of Epoxides

7.3K
Epoxides that are three-membered ring systems are more reactive than other cyclic and acyclic ethers. The high reactivity of epoxides originates from the strain present in the ring. This ring strain acts as a driving force for epoxides to undergo ring-opening reactions either with halogen acids or weak nucleophiles in the presence of mild acid. The acid catalyst converts the epoxide oxygen, a poor leaving group, into an oxonium ion, a better leaving group, making the reaction feasible. The...
7.3K
α-Alkylation of Ketones via Enolate Ions01:10

α-Alkylation of Ketones via Enolate Ions

3.1K
Ketones with α protons are deprotonated by strong bases like lithium diisopropylamide (LDA) to form enolate ions. The anion is stabilized by resonance, and its hybrid structure exhibits negative charges on the carbonyl oxygen and the α carbon. This ambident nucleophile can attack an electrophile via two possible sites: the carbonyl oxygen, known as O-attack, or the α carbon, known as C-attack. The nucleophilic attack via the carbanionic site is preferred. This is due to the...
3.1K
Crossed Aldol Reaction Using Strong Bases: Directed Aldol Reaction00:56

Crossed Aldol Reaction Using Strong Bases: Directed Aldol Reaction

2.2K
The reaction between two different carbonyl compounds comprising α hydrogen in the presence of a strong base like lithium diisopropylamide (LDA) to form a crossed aldol product is known as a directed aldol reaction. The directed aldol reaction is depicted in Figure 1.
2.2K
Preparation of Aldehydes and Ketones from Carboxylic Acid Derivatives01:18

Preparation of Aldehydes and Ketones from Carboxylic Acid Derivatives

2.6K
Aldehydes are more reactive than carboxylic acids and hence, can get over-reduced to alcohol in the presence of strong reducing agents. Therefore, carboxylic acids are inefficient in preparing aldehydes using LAH.
Carboxylic acid derivatives like acid chlorides and esters are more easily reducible than the corresponding acids. The derivatives reduce in the presence of mild reducing agents to give aldehydes. Aldehydes can also be prepared by Rosenmund reduction, that is, the reduction of...
2.6K

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Controlled Photoredox Ring-Opening Polymerization of O-Carboxyanhydrides Mediated by Ni/Zn Complexes
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通过两步机器学习完全自动化优化乳衍生物中的环开放反应.

Linh Thi Hoai Nguyen1, Yasuhide Fukumoto1, Pierluigi Cesana1

  • 1Institute of Mathematics for Industry, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan.

The journal of physical chemistry. A
|November 20, 2023
PubMed
概括

这项研究引入了一个自动化的计算平台,通过优化环开放反应速率来设计新的乳. 它使用机器学习和进化算法高效地探索化学空间,减少90%的计算时间.

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科学领域:

  • 计算化学是一种计算化学.
  • 材料科学是一种材料科学.
  • 有机化学 有机化学

背景情况:

  • 循环化和循环逆转是设计纳米电子功能分子的关键过程.
  • 乳是分子和纳米电子应用中的重要组成部分.

研究的目的:

  • 开发一个全自动计算平台,用于设计五和六个环状乳.
  • 为了优化乳衍生物的环开反应速度.

主要方法:

  • 利用密度函数理论 (DFT) 和过渡状态理论来研究反应机制.
  • 开发了用于数据集生成的进化算法和用于财产预测的机器学习模型.
  • 确定了一个描述符与反应速率相关联,使得从基态计算中进行预测.

主要成果:

  • 使用在~800个分子上训练的机器学习模型,实现了90%的计算时间缩短.
  • 生成的数据集比最初的数据集大三倍,使得广泛的化学空间探索成为可能.
  • 成功地将一个简单的描述符与乳环开放反应速率相关联.

结论:

  • 开发的平台自动化了乳的设计,并优化了反应动力学.
  • 这种方法显著降低了探索化学空间的计算成本和精力.
  • 模块化平台可以扩展到设计更复杂的分子系统.