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相关概念视频

Molecular and Ionic Solids02:54

Molecular and Ionic Solids

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Crystalline solids are divided into four types: molecular, ionic, metallic, and covalent network based on the type of constituent units and their interparticle interactions.
Molecular Solids
Molecular crystalline solids, such as ice, sucrose (table sugar), and iodine, are solids that are composed of neutral molecules as their constituent units. These molecules are held together by weak intermolecular forces such as London dispersion forces, dipole-dipole interactions, or hydrogen bonds, which...
19.8K
Structures of Solids02:22

Structures of Solids

17.3K
Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
17.3K
Ionic Crystal Structures02:42

Ionic Crystal Structures

16.7K
Ionic crystals consist of two or more different kinds of ions that usually have different sizes. The packing of these ions into a crystal structure is more complex than the packing of metal atoms that are the same size.
Most monatomic ions behave as charged spheres, and their attraction for ions of opposite charge is the same in every direction. Consequently, stable structures for ionic compounds result (1) when ions of one charge are surrounded by as many ions as possible of the opposite...
16.7K
Crystal Field Theory - Octahedral Complexes02:58

Crystal Field Theory - Octahedral Complexes

30.4K
Crystal Field Theory
To explain the observed behavior of transition metal complexes (such as colors), a model involving electrostatic interactions between the electrons from the ligands and the electrons in the unhybridized d orbitals of the central metal atom has been developed. This electrostatic model is crystal field theory (CFT). It helps to understand, interpret, and predict the colors, magnetic behavior, and some structures of coordination compounds of transition metals.
CFT focuses on...
30.4K
Metallic Solids02:37

Metallic Solids

20.4K
Metallic solids such as crystals of copper, aluminum, and iron are formed by metal atoms. The structure of metallic crystals is often described as a uniform distribution of atomic nuclei within a “sea” of delocalized electrons. The atoms within such a metallic solid are held together by a unique force known as metallic bonding that gives rise to many useful and varied bulk properties.
All metallic solids exhibit high thermal and electrical conductivity, metallic luster, and malleability....
20.4K
Recrystallization: Solid–Solution Equilibria01:10

Recrystallization: Solid–Solution Equilibria

2.0K
Recrystallization is a purification technique used to separate impurities from solid compounds. In this technique, no chemical reactions occur. Instead, it exploits physical properties only, specifically, the solubility differences between the desired compound and impurities, either at a single temperature or at different temperatures, and under other selected conditions. The solid-solution equilibrium (solubility equilibrium) of each component in the solution represents a binary phase...
2.0K

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相关实验视频

Updated: Jan 6, 2026

Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization
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Rapid in-silico Battery Electrolyte Electrochemical Reaction Generation using 3T-VASP Multi-Scale Energy Minimization

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数据驱动的晶体和玻璃状固态电解质的原子模型.

Rui Zhou1, Kun Luo1, Qi An1

  • 1Department of Materials Science and Engineering, Iowa State University, Ames, Iowa 50011, USA. qan@iastate.edu.

Chemical communications (Cambridge, England)
|October 10, 2025
PubMed
概括

机器学习力场 (ML-FFs) 加快了对固体电解质的研究,以获得更安全,更高能量的电池. 这些先进的模型为开发下一代全固态电池技术提供了至关重要的原子洞察力.

科学领域:

  • 材料科学 材料科学 材料科学
  • 计算化学的计算化学
  • 电化学 电化学 电化学

背景情况:

  • 全固态电池提供更高的安全性和能量密度,但需要对固体电解质有更深入的了解.
  • 原子模拟是这种理解的关键,但传统方法在计算上昂贵.

研究的目的:

  • 审查用于固体电解质研究的机器学习力场 (ML-FFs) 的最新进展.
  • 突出ML-FFs在研究晶体和玻璃状固体电解质中的应用.
  • 讨论ML-FF在电池开发中的挑战和未来方向.

主要方法:

  • 讨论ML-FF框架和培训策略.
  • 不同ML-FF模型的比较,包括可转移性和不确定性量化.
  • 在ML-FF开发中对数据生成和验证的最佳实践的审查.

主要成果:

  • ML-FFs能够进行大规模,长时间的模拟,超越了ab initio方法.
  • 应用程序揭示了对离子运输,缺陷,结构-属性关系,相位稳定性和接口现象的洞察.
  • ML-FF 已被证明对晶体和玻璃状固体电解质都有效.

结论:

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Solid-state Graft Copolymer Electrolytes for Lithium Battery Applications
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  • ML-FF是加速发现和优化固体电解质的强大工具.
  • 主要挑战仍然存在,包括远程静电学,化学反应性和多组件系统.
  • 对于实际的全固态电池来说,ML-FF的进一步开发将至关重要.