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相关概念视频

Ionic Strength: Effects on Chemical Equilibria01:19

Ionic Strength: Effects on Chemical Equilibria

1.7K
The addition of an inert ionic compound increases the solubility of a sparingly soluble salt. For example, adding potassium nitrate to a saturated solution of calcium sulfate significantly enhances the solubility of calcium sulfate. Le Châtelier's principle cannot predict this shift in the equilibrium. Instead, this could be explained in terms of changes in the effective concentration of the ions in solution in the presence of added inert salt.
In this solution, the primary...
1.7K
Aqueous Solutions and Heats of Hydration02:42

Aqueous Solutions and Heats of Hydration

15.1K
Water and other polar molecules are attracted to ions. The electrostatic attraction between an ion and a molecule with a dipole is called an ion-dipole attraction. These attractions play an important role in the dissolution of ionic compounds in water.
When ionic compounds dissolve in water, the ions in the solid separate and disperse uniformly throughout the solution because water molecules surround and solvate the ions, reducing the strong electrostatic forces between them. This process...
15.1K
Precipitation of Ions03:11

Precipitation of Ions

28.1K
Predicting Precipitation
The equation that describes the equilibrium between solid calcium carbonate and its solvated ions is:
28.1K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

87
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
87
Molecular Models02:00

Molecular Models

40.5K
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.
40.5K
Ions as Acids and Bases02:54

Ions as Acids and Bases

24.1K
Salts with Acidic Ions
Salts are ionic compounds composed of cations and anions, either of which may be capable of undergoing an acid or base ionization reaction with water. Aqueous salt solutions, therefore, may be acidic, basic, or neutral, depending on the relative acid-base strengths of the salt’s constituent ions. For example, dissolving the ammonium chloride in water results in its dissociation, as described by the equation:
24.1K

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Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization
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使用机器学习模拟复杂水性电解质的行为 原子间潜力:硫酸的案例

Ademola Soyemi1, Tibor Szilvási1

  • 1Department of Chemical and Biological Engineering, The University of Alabama, Tuscaloosa, Alabama 35487, United States.

The journal of physical chemistry. B
|July 21, 2025
PubMed
概括

机器学习的原子间潜能 (MLIP) 准确地模拟了离子,揭示了和硫酸盐在水中的相互作用. 这种方法克服了研究溶液中复杂离子行为的传统方法的局限性.

科学领域:

  • 计算化学计算化学
  • 物理化学 物理化学
  • 材料科学 材料科学 材料科学

背景情况:

  • 精确的离子建模对于电化学,水处理和能量储存至关重要.
  • 最初的分子动力学方法提供了高精度,但受到计算成本的限制.
  • 经典力场缺乏复杂离子相互作用所需的精度.

研究的目的:

  • 探索复杂的单价-双价离子对的结构和热力学.
  • 用一种新的计算方法研究水溶液中的-硫酸盐离子配对.
  • 为了确定各种度的离子对的水结构和平均力潜力.

主要方法:

  • 在密度函数理论 (DFT) 数据上训练的机器学习原子间潜力 (MLIP) 的开发和应用.
  • 在0.1-2M的度范围内模拟硫酸 (Na2SO4(aq)) 水溶液.
  • 分析散装性质,水化结构,平均力潜力和最小能量路径.

主要成果:

  • MLIP准确地复制了水的关键散装特性,包括密度和辐射分布函数.
  • 获得了和硫酸盐离子的详细水合结构,以及0.1M的离子配对的平均力潜力.
  • 在低度下,强硫酸盐溶解有利于溶剂分离离子对而不是接触离子对;离子协调是一个连续的过程.

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Controlling the Size, Shape and Stability of Supramolecular Polymers in Water
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Controlling the Size, Shape and Stability of Supramolecular Polymers in Water
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结论:

  • 机器学习的原子间潜能提供了一个强大的工具,可以实现DFT级准确度,用于研究复杂的离子.
  • 这种方法使得对离子对热力学和结构的研究能够在以前无法获得的度和时间尺度上进行.
  • 这些发现推动了我们对离子-水相互作用的理解,并对电化学和分离技术产生了影响.