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相关概念视频

Thermodynamics: Activity Coefficient01:24

Thermodynamics: Activity Coefficient

2.8K
Activity is the measure of the effective concentration of the species in solution. It can be expressed as the product of the molar concentration of the species and its activity coefficient. The activity coefficient is a dimensionless quantity and depends on the total ionic strength of the solution.
The activity coefficient is a measure of the deviation from ideal behavior. When the ionic strength of the solution is minimal, the activity coefficient of an ionic species is close to unity, making...
2.8K
Factors Affecting Activity Coefficient01:17

Factors Affecting Activity Coefficient

1.5K
The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size. 
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
1.5K
Arrhenius Plots02:34

Arrhenius Plots

46.6K
The Arrhenius equation relates the activation energy and the rate constant, k, for chemical reactions. In the Arrhenius equation, k = Ae−Ea/RT, R is the ideal gas constant, which has a value of 8.314 J/mol·K, T is the temperature on the kelvin scale, Ea is the activation energy in J/mole, e is the constant 2.7183, and A is a constant called the frequency factor, which is related to the frequency of collisions and the orientation of the reacting molecules.
The Arrhenius equation can be used...
46.6K
Phase Diagrams02:39

Phase Diagrams

48.7K
A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
48.7K
Phase Diagram01:19

Phase Diagram

6.9K
The phase of a given substance depends on the pressure and temperature. Thus, plots of pressure versus temperature showing the phase in each region provide considerable insights into the thermal properties of substances. Such plots are known as phase diagrams. For instance, in the phase diagram for water (Figure 1), the solid curve boundaries between the phases indicate phase transitions (i.e., temperatures and pressures at which the phases coexist).
6.9K
Thermodynamics: Chemical Potential and Activity01:10

Thermodynamics: Chemical Potential and Activity

1.6K
The effective concentration of a species in a solution can be expressed precisely in terms of its activity. Activity considers the effect of electrolytes present in the vicinity of the species of interest and depends on the ionic strength of the solution. The activity of a species is expressed as the product of molar concentration and the activity coefficient of the species.
The thermodynamic equilibrium constant is more accurately defined in terms of activity rather than concentration.
1.6K

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相关实验视频

Updated: Jan 14, 2026

Phase Diagram Characterization Using Magnetic Beads as Liquid Carriers
12:37

Phase Diagram Characterization Using Magnetic Beads as Liquid Carriers

Published on: September 4, 2015

12.9K

通过活动系数预测加速相位图的构建.

Mohsen Farshad1, Fathya Y M Salih1, Dinis O Abranches2

  • 1Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, USA.

The Journal of chemical physics
|October 24, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种机器学习方法,以高效地预测相位图. 通过在Kirkwood-Buff积分上使用高斯过程模型,它可以降低复杂混合物的计算成本.

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High-pressure Sapphire Cell for Phase Equilibria Measurements of CO2/Organic/Water Systems
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Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
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Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy

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相关实验视频

Last Updated: Jan 14, 2026

Phase Diagram Characterization Using Magnetic Beads as Liquid Carriers
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Phase Diagram Characterization Using Magnetic Beads as Liquid Carriers

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High-pressure Sapphire Cell for Phase Equilibria Measurements of CO2/Organic/Water Systems
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Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy
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Phase Behavior of Charged Vesicles Under Symmetric and Asymmetric Solution Conditions Monitored with Fluorescence Microscopy

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科学领域:

  • 计算化学和热力学.
  • 机器学习在物理科学中的应用.

背景情况:

  • 使用分子模拟预测相位图是计算密集的.
  • 准确的热力学数据对于理解混合物行为至关重要.

研究的目的:

  • 开发一种高效的机器学习方法来预测相位行为.
  • 为了降低与相位图确定相关的计算成本.
  • 建立基克伍德-巴夫积分和活动系数之间的预测联系.

主要方法:

  • 在Kirkwood-Buff积分 (KBI) 上训练高斯过程 (GP) 模型.
  • 使用KBI来预测活动系数,这些系数量化了偏离理想的偏差.
  • 在没有先前阶段数据的情况下,将训练的GP模型应用于新的Lennard-Jones混合物.

主要成果:

  • 成功预测了新系统的活动系数,绕过了直接的共存模拟.
  • 对于阶段行为预测的计算费用显著降低.
  • 建立了一个可扩展的框架来分析复杂的混合物.

结论:

  • 开发的机器学习方法为相位图预测提供了一个计算效率高的替代方案.
  • 这种方法在计算热力学中广泛适用于研究具有可调节相互作用的混合物.
  • 利用GP模型的KBI提供了一个强大的工具来加速热力学计算.