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相关概念视频

Qualitative Analysis03:46

Qualitative Analysis

22.6K
For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
22.6K
Washing, Drying, and Ignition of Precipitates00:52

Washing, Drying, and Ignition of Precipitates

1.1K
After filtration, the precipitate is washed to remove coprecipitated impurities and any remaining mother liquor. Colloidal precipitates, such as silver chloride, are washed with an electrolyte (such as dilute nitric acid) to prevent the peptization of the precipitate. In the case of slightly soluble precipitates, the wash solution contains a common ion to reduce solubility. Lead sulfate, which is slightly soluble in water, is washed with dilute sulfuric acid. Similarly, wash solutions may be...
1.1K
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

2.1K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
2.1K
Complexometric Titration: Ligands00:43

Complexometric Titration: Ligands

1.1K
Different monodentate and polydentate ligands are used as complexing agents in complexometric titration reactions. The formation of complexes by mono- and bidentate ligands involves two or more intermediate steps, limiting their use as complexing agents. In comparison, polydentate ligands can form complexes with metal ions in a single-step process, facilitating sharper end points. This means polydentate ligands, such as amino carboxylic acid derivatives, are most commonly employed in...
1.1K
Ionic Strength: Effects on Chemical Equilibria01:19

Ionic Strength: Effects on Chemical Equilibria

1.8K
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...
1.8K

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一个可推广的机器学习框架,用于识别可持续的多离子石榴电解质.

Jinjin Dong1, Wenjun Yang1, Haolin Liu1

  • 1Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, School of Mechanical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.

ACS applied materials & interfaces
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概括

研究人员开发了一个机器学习框架,以发现可持续的固态电解质 (SE) 用于,和离子电池,解决离子技术的局限性.

关键词:
离子电池 离子电池密度函数理论密度函数理论石榴石类型的固态电解质.机器学习是机器学习.离子电池 离子电池离子电池 离子电池固态电池是一种固态电池.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 电化学 电化学 电化学
  • 计算化学计算化学

背景情况:

  • 离子固态电池 (SSB) 提供高能量密度,但由于资源的限制,它们面临着可持续性挑战.
  • 为了克服这些问题,正在探索使用 (Na), (Mg) 和 (Al) 离子的替代SSB.
  • 为这些替代电池化学物质确定合适的固态电解质 (SE) 是一个重大障碍.

研究的目的:

  • 开发一个通用的机器学习 (ML) 框架,以有效地选高性能石榴石型SE.
  • 预测潜在的SE材料的热稳定性和电导率.
  • 为下一代SSB确定具有成本效益和环境优势的SE.

主要方法:

  • 使用了一种机器学习框架,使用专门设计的化学描述符.
  • 经过ML模型的训练,可以预测石榴石型SE的热稳定性和电导率.
  • 使用密度函数理论 (DFT) 的第一原则计算用于验证.

主要成果:

  • ML模型实现了很高的预测准确度:热稳定性为94%,电导率为89%.
  • 从一个包含43732种化合物的数据库中,选了1764种具有高热稳定性和宽带间隙的石榴类型SE.
  • 44个具有有利的环境和经济特征的石榴石型SE被通过DFT识别和验证.

结论:

  • 开发的ML框架有效地选了Na,Mg和Al离子SSB的有希望的石榴石型SE.
  • 已识别的SE展示了具有成本效益,高性能和可持续能源存储的潜力.
  • 这项研究为先进的SSB提供了探索特定空间组内的材料系统的途径.