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Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

5.3K
The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
5.3K
Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion03:48

Behavior of Gas Molecules: Molecular Diffusion, Mean Free Path, and Effusion

31.1K
Although gaseous molecules travel at tremendous speeds (hundreds of meters per second), they collide with other gaseous molecules and travel in many different directions before reaching the desired target. At room temperature, a gaseous molecule will experience billions of collisions per second. The mean free path is the average distance a molecule travels between collisions. The mean free path increases with decreasing pressure; in general, the mean free path for a gaseous molecule will be...
31.1K
Molecular Models02:00

Molecular Models

43.5K
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
43.5K
Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

2.7K
Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...
2.7K
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

3.9K
Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta...
3.9K
Diffusion01:12

Diffusion

216.0K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
216.0K

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相关实验视频

Updated: Jan 15, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

Published on: September 26, 2016

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MG-DIFF:一种用于分子生成和优化的新型分子图形扩散模型.

Xiaochen Zhang1, Shuangxi Wang1, Ying Fang1

  • 1School of Information Technology, Shangqiu Normal University, Shangqiu, Henan, People's Republic of China.

PloS one
|October 16, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了MG-DIFF,一种用于分子生成和优化的新扩散模型. 它改善了分子结构表示和条件优化,在基准上取得了最先进的结果.

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A Simple, Robust, and High Throughput Single Molecule Flow Stretching Assay Implementation for Studying Transport of Molecules Along DNA
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A Simple, Robust, and High Throughput Single Molecule Flow Stretching Assay Implementation for Studying Transport of Molecules Along DNA

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Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
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相关实验视频

Last Updated: Jan 15, 2026

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level
06:55

Synthesis of Cyclic Polymers and Characterization of Their Diffusive Motion in the Melt State at the Single Molecule Level

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A Simple, Robust, and High Throughput Single Molecule Flow Stretching Assay Implementation for Studying Transport of Molecules Along DNA
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A Simple, Robust, and High Throughput Single Molecule Flow Stretching Assay Implementation for Studying Transport of Molecules Along DNA

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Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
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Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids

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科学领域:

  • 人工智能的人工智能
  • 计算化学计算化学
  • 药物发现 药物发现 药物发现

背景情况:

  • 消灭扩散模型在各个领域推进了生成任务.
  • 现有的分子生成扩散模型缺乏对分子特征的优化,阻碍了性能和条件优化.
  • 需要新的方法来增强使用扩散模型的分子生成和优化.

研究的目的:

  • 推出MG-DIFF,这是一种专门为分子生成和优化而设计的新型扩散模型.
  • 解决现有模型在捕获复杂分子结构和允许条件优化方面的局限性.
  • 提高生成和优化分子的质量和效率.

主要方法:

  • 提出了一种掩盖和替换离散扩散策略,以增强分子结构表示.
  • 引入了一个带有随机节点初始化的图形变压器模型,以克服传统图形神经网络的局限性.
  • 通过原子组加法开发了条件生成和分子优化的图形填充策略.

主要成果:

  • MG-DIFF在几个分子生成基准上实现了最先进的性能.
  • 在条件分子优化任务中表现出显著的潜力.
  • 提出的策略有效地提高了产生的分子的质量和优化能力.

结论:

  • MG-DIFF代表了基于扩散的分子生成和优化方面的重大进步.
  • 该模型的新策略与以前的方法相比,提供了更好的性能和灵活性.
  • MG-DIFF对药物发现和材料科学中的应用非常有前途.