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相关概念视频

Spin–Spin Coupling Constant: Overview01:08

Spin–Spin Coupling Constant: Overview

940
In bromoethane, the three methyl protons are coupled to the two methylene protons that are three bonds away. In accordance with the n+1 rule, the signal from the methyl protons is split into three peaks with 1:2:1 relative intensities. The methylene protons appear as a quartet, with the relative intensities of 1:3:3:1.
Qualitatively, any spin plus-half nucleus polarizes the spins of its electrons to the minus-half state. Consequently, the paired electron in the hydrogen–carbon bond must...
940
Spin–Spin Coupling: One-Bond Coupling01:17

Spin–Spin Coupling: One-Bond Coupling

987
Coupling interactions are strongest between NMR-active nuclei bonded to each other, where spin information can be transmitted directly through the pair of bonding electrons. While nuclei polarize their electrons to the opposite spins, the bonding electron pair has opposite spins. Configurations with antiparallel nuclear spins are expected to be lower in energy. When coupling makes antiparallel states more favorable, J is considered to have a positive value. The one-bond coupling constant, 1J,...
987
Network Covalent Solids02:18

Network Covalent Solids

13.5K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
13.5K
Stability of structures01:14

Stability of structures

177
In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
177
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.0K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.0K
Entropy Change in Reversible Processes01:10

Entropy Change in Reversible Processes

2.6K
In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
The statement can be further generalized to prove that entropy is a state function. Take a cyclic process between any two points on a p-V diagram.
2.6K

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相关实验视频

Updated: Jul 11, 2025

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

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模块化转折点:局部网络结构如何影响网络自旋系统中的关键转换.

Daniel Reisinger1, Raven Adam1, Fabian Tschofenig1

  • 1Institute of Environmental Systems Sciences, University of Graz, Graz, Styria, Austria.

PloS one
|November 14, 2023
PubMed
概括

网络结构对关键过渡有重大影响. 高模块化导致级联转移,而低模块化导致统一过渡,突出显示了组件角色在网络系统中的重要性.

科学领域:

  • 复杂系统科学 复杂系统科学
  • 网络理论 网络理论
  • 动态系统是动态系统.

背景情况:

  • 关键转变是系统状态的突然转变,在生态学,社会学和物理学中具有相关性.
  • 系统网络结构极大地影响过渡动态.
  • 网络模块化是关键过渡的一个研究不足的因素.

研究的目的:

  • 调查网络模块化对关键过渡行为的影响.
  • 分析如何改变度数排列性影响过渡动态.
  • 了解本地网络结构在全系统转换中的作用.

主要方法:

  • 模拟网络系统中的不同模块化和分类度的关键过渡.
  • 通过程度的分类性来控制局部网络结构的操纵.
  • 分析跨不同度分布的过渡行为 (例如,权力定律,Poisson).

主要成果:

  • 高模块化网络表现为级联过渡;低模块化网络显示为统一过渡.
  • 具有异质节点连接性过渡的网络比平均度预测的更早.
  • 早期过渡的例外发生在低模块化,高分类性网络中.

结论:

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  • 网络模块化决定了过渡模式 (级联与统一).
  • 节点连接异质性影响过渡时间.
  • 了解关键过渡需要分析单个组件及其网络角色.