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相关概念视频

Crystal Field Theory - Octahedral Complexes02:58

Crystal Field Theory - Octahedral Complexes

27.4K
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...
27.4K
Crystal Field Theory - Tetrahedral and Square Planar Complexes02:46

Crystal Field Theory - Tetrahedral and Square Planar Complexes

44.2K
Tetrahedral Complexes
Crystal field theory (CFT) is applicable to molecules in geometries other than octahedral. In octahedral complexes, the lobes of the dx2−y2 and dz2 orbitals point directly at the ligands. For tetrahedral complexes, the d orbitals remain in place, but with only four ligands located between the axes. None of the orbitals points directly at the tetrahedral ligands. However, the dx2−y2 and dz2 orbitals (along the Cartesian axes) overlap with the ligands less than the dxy,...
44.2K
Ionic Crystal Structures02:42

Ionic Crystal Structures

14.7K
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...
14.7K
Structures of Solids02:22

Structures of Solids

14.6K
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...
14.6K
Crystal Growth: Principles of Crystallization01:25

Crystal Growth: Principles of Crystallization

2.6K
Crystallization is a phase transformation process in which crystals are precipitated from a supersaturated solution or formed from other sources. During crystallization, atoms or molecules arrange themselves into a well-defined, rigid crystal lattice to minimize energy.
Initiating crystallization involves manipulating the concentration of the solute and the temperature of the solution. Since crystal growth occurs when the ratio of concentration and solubility of the solute in the solvent...
2.6K

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相关实验视频

Updated: Sep 9, 2025

Derivatization of Protein Crystals with I3C using Random Microseed Matrix Screening
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Derivatization of Protein Crystals with I3C using Random Microseed Matrix Screening

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一种使用图形理论提炼和选择随机晶体结构的通用方法

Shaobo Yu1, Junjie Wang1, Yu Han1

  • 1National Laboratory of Solid State Microstructures, School of Physics and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, China.

The Journal of chemical physics
|September 3, 2025
PubMed
概括
此摘要是机器生成的。

这项研究提出了一种使用最小信息的随机晶体结构的新方法. 这种方法有效地产生了大量的低能量晶体结构,加速了对稳定的材料的搜索.

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Improving the Success Rate of Protein Crystallization by Random Microseed Matrix Screening
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Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin
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Derivatization of Protein Crystals with I3C using Random Microseed Matrix Screening
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Derivatization of Protein Crystals with I3C using Random Microseed Matrix Screening

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Improving the Success Rate of Protein Crystallization by Random Microseed Matrix Screening
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Improving the Success Rate of Protein Crystallization by Random Microseed Matrix Screening

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Workflow and Tools for Crystallographic Fragment Screening at the Helmholtz-Zentrum Berlin
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科学领域:

  • 材料科学
  • 晶体学
  • 计算化学

背景情况:

  • 预测未知的晶体结构对于材料的发现至关重要.
  • 目前的方法通常需要大量的计算资源或先前的知识.
  • 有效地产生多样化和稳定的初始结构是一个关键挑战.

研究的目的:

  • 开发一种通用,最少信息的方法来精制和选择随机的晶体结构.
  • 提高晶体结构预测算法的效率和成功率.

主要方法:

  • 一种使用近邻分析得出的分数图的新方法.
  • 通过基于图形的拓信息来改进初始的随机结构.
  • 在九个不同的化学系统中进行验证.

主要成果:

  • 这种方法成功地产生了大量的低能量晶体结构.
  • 在各种系统中提炼随机结构的有效性.
  • 这种方法需要最少的预先信息来生成结构.

结论:

  • 开发的方法提供了一种强大的方法,用于生成高质量的初始结构,以预测晶体结构.
  • 整合到现有算法可以显著加快基本状态晶体结构的发现.
  • 这种技术提高了探索材料设计空间的效率.