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相关概念视频

Thermal Electrocyclic Reactions: Stereochemistry01:17

Thermal Electrocyclic Reactions: Stereochemistry

2.0K
The stereochemistry of electrocyclic reactions is strongly influenced by the orbital symmetry of the polyene HOMO. Under thermal conditions, the reaction proceeds via the ground-state HOMO.
Selection Rules: Thermal Activation
Conjugated systems containing an even number of π-electron pairs undergo a conrotatory ring closure. For example, thermal electrocyclization of (2E,4E)-2,4-hexadiene, a conjugated diene containing two π-electron pairs, gives trans-3,4-dimethylcyclobutene.
2.0K
Thermal and Photochemical Electrocyclic Reactions: Overview01:26

Thermal and Photochemical Electrocyclic Reactions: Overview

2.4K
Electrocyclic reactions are reversible reactions. They involve an intramolecular cyclization or ring-opening of a conjugated polyene. Shown below are two examples of electrocyclic reactions. In the first reaction, the formation of the cyclic product is favored. In contrast, in the second reaction, ring-opening is favored due to the high ring strain associated with cyclobutene formation.
2.4K
¹H NMR: Long-Range Coupling01:27

¹H NMR: Long-Range Coupling

1.8K
The coupling interactions of nuclei across four or more bonds are usually weak, with J values less than 1 Hz. While these are usually not observed in spectra, the presence of multiple bonds along the coupling pathway can result in observable long-range coupling.
In alkenes, spin information is communicated via σ–π overlap, as seen in allylic (four-bond) and homoallylic (five-bond) couplings. These coupling interactions are stronger when the σ bond is parallel to the alkene...
1.8K
Properties of Organometallic Compounds01:23

Properties of Organometallic Compounds

1.1K
Organometallic compounds are compounds that contain a carbon–metal bond. Carbon belongs to an organyl group like alkyl, aryl, allyl, or benzyl groups. The metal can be from Group I or Group II of the periodic table, a transition metal, or a semimetal.
1.1K

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相关实验视频

Updated: Jul 24, 2025

Fabrication of Ti3C2 MXene Microelectrode Arrays for In Vivo Neural Recording
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Fabrication of Ti3C2 MXene Microelectrode Arrays for In Vivo Neural Recording

Published on: February 12, 2020

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在MXenes上进行C-N电联的活动和选择性路线图

Yiran Jiao1, Haobo Li1, Yan Jiao1

  • 1School of Chemical Engineering, The University of Adelaide, Adelaide, South Australia 5005, Australia.

Journal of the American Chemical Society
|July 6, 2023
PubMed
概括

研究人员探索了电催化碳-的合, 他们确定了催化剂设计的关键吸附强度,并使用机器学习有效地选新的MXene材料.

科学领域:

  • 材料科学
  • 电化学
  • 计算化学

背景情况:

  • 电化学C-N合提供了可持续的途径,
  • 有限的机械学理解阻碍了合理的电催化剂设计,依靠试错.
  • 开发高效的电催化剂对于解决能源危机和促进绿色化学至关重要.

研究的目的:

  • 阐明电化学碳- (C-N) 合的机制.
  • 在MXene表面上构建C-N合的活性和选择性景观.
  • 为新型C-N合电催化剂开发数据驱动的高通量选方法.

主要方法:

  • 用密度功能理论 (DFT) 的计算来研究54个MXene表面.
  • 吸附强度 (*CO和*N) 的分析,以确定活性和选择性描述量.
  • 机器学习 (ML) 模型是基于原子特征来预测催化剂性能的.

主要成果:

  • 催化剂活性主要取决于*CO吸附强度,而选择性取决于*N和*CO的共同吸附.
  • 一个理想的MXene催化剂需要适度的*CO和稳定的*N吸附.
  • 通过ML查发现了包括Ta2W2C3在内的有前途的候选物质,并通过DFT进行了验证.

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Synthesis of Metal Nanoparticles Supported on Carbon Nanotube with Doped Co and N Atoms and its Catalytic Applications in Hydrogen Production
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Synthesis and Performance Characterizations of Transition Metal Single Atom Catalyst for Electrochemical CO2 Reduction
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Synthesis and Performance Characterizations of Transition Metal Single Atom Catalyst for Electrochemical CO2 Reduction

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Last Updated: Jul 24, 2025

Fabrication of Ti3C2 MXene Microelectrode Arrays for In Vivo Neural Recording
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Synthesis of Metal Nanoparticles Supported on Carbon Nanotube with Doped Co and N Atoms and its Catalytic Applications in Hydrogen Production
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Synthesis of Metal Nanoparticles Supported on Carbon Nanotube with Doped Co and N Atoms and its Catalytic Applications in Hydrogen Production

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Synthesis and Performance Characterizations of Transition Metal Single Atom Catalyst for Electrochemical CO2 Reduction
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Synthesis and Performance Characterizations of Transition Metal Single Atom Catalyst for Electrochemical CO2 Reduction

Published on: April 10, 2018

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结论:

  • 这项研究建立了对MXenes的C-N合的机制理解.
  • 整合ML为电催化剂发现提供了一种高通量选方法.
  • 该方法可以扩展,以加速各种绿色化学生产过程的催化剂的开发.