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相关概念视频

Conformations of Cyclohexane02:11

Conformations of Cyclohexane

15.2K
Cyclohexane does not exist in a planar form due to the high angle and torsional strain it would experience in the planar structure. Instead, it adopts non-planar chair and boat conformations.
The chair form is the most stable and derives its name from its resemblance to the “easy chair.” In the chair conformation, two carbon atoms are arranged out-of-plane — one above and one below, minimizing the torsional strain. In the chair form, the bond angle is very close to the ideal...
15.2K
¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

1.3K
At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
1.3K
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.0K
VSEPR Theory for Determination of Electron Pair Geometries
45.0K
Conformations of Cycloalkanes02:29

Conformations of Cycloalkanes

14.1K
Adolf von Baeyer attempted to explain the instabilities of small and large cycloalkane rings using the concept of angle strain — the strain caused by the deviation of bond angles from the ideal 109.5° tetrahedral value for sp3  hybridized carbons. However, while cyclopropane and cyclobutane are strained, as expected from their highly compressed bond angles, cyclopentane is more strained than predicted, and cyclohexane is virtually strain-free. Hence, Baeyer’s theory that...
14.1K
Chair Conformation of Cyclohexane02:02

Chair Conformation of Cyclohexane

17.9K
The chair conformation is the most stable form of cyclohexane due to the absence of angle and torsional strain. The absence of angle strain is a result of cyclohexane’s bond angle being very close to the ideal tetrahedral bond angle of 109.5° in its chair conformer. Similarly, the torsional strain is also absent owing to the perfectly staggered arrangement of bonds.
The hydrogen atoms linked to carbons are arranged in two different axial and equatorial orientations to achieve this...
17.9K
¹H NMR of Conformationally Flexible Molecules: Variable-Temperature NMR01:15

¹H NMR of Conformationally Flexible Molecules: Variable-Temperature NMR

1.7K
The axial and equatorial protons in cyclohexane can be distinguished by performing a variable-temperature NMR experiment. In this process, except for one proton, the remaining eleven protons are replaced by deuterium. The deuterium substitution avoids the possible peak splitting caused by the spin-spin coupling between the adjacent protons. The remaining proton flips between the axial and equatorial positions.
1.7K

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Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR
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使用机器学习的原子间潜能对宏环化合物的构成分析.

Hani M Hashim1, Jeremy N Harvey1

  • 1Department of Chemistry, KU Leuven, Celestijnenlaan 200f, 3001 Leuven, Belgium.

Journal of chemical theory and computation
|October 15, 2025
PubMed
概括
此摘要是机器生成的。

机器学习,使用图形神经网络,准确地分析宏循环化合物形状. 这种方法克服了预测结构和能量方面的挑战,匹配密度函数理论结果.

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科学领域:

  • 计算化学的计算化学
  • 机器学习 机器学习
  • 分子建模分子建模

背景情况:

  • 宏环化合物在化学和生物学中至关重要.
  • 这些分子的形状分析在计算上具有挑战性.
  • 准确预测分子结构和能量至关重要.

研究的目的:

  • 开发和验证机器学习的原子间潜力 (MLIP) 用于宏循环结构分析.
  • 评估MLIP的准确性与高级量子化学方法相比.
  • 将MLIP集成到采样方法中,以有效地预测结构.

主要方法:

  • 训练一个Nequip-like图形神经网络MLIP对DFT能量差异.
  • 使用 ωB97XD3 和 GFN1-xTB 层次的理论训练数据.
  • 在CREST框架下采用基于元动力学的构造性采样.

主要成果:

  • MLIP准确地复制了DFT级相对调整器能量.
  • 来自MLIP的优化结构与DFT结果密切匹配.
  • 使用MLIP进行符合性采样,从晶体数据中恢复了DFT优化的结构.

结论:

  • 机器学习,特别是MLIP,为宏观循环结构分析提供了强大的解决方案.
  • 这种方法显著提高了分子建模的效率和准确性.
  • 开发的MLIP对研究复杂的宏观循环系统有很大的前景.