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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...
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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,...
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The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...
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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...
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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.
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Metallic Solids

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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.
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Microfluidic-based Synthesis of Covalent Organic Frameworks COFs: A Tool for Continuous Production of COF Fibers and Direct Printing on a Surface
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Microfluidic-based Synthesis of Covalent Organic Frameworks COFs: A Tool for Continuous Production of COF Fibers and Direct Printing on a Surface

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Determining Covalent Organic Framework Structures Using Electron Crystallography and Computational Intelligence.

Xiangyu Zhang1, Junyi Hu1, Huiyu Liu1

  • 1School of Physical Science and Technology & Shanghai Key Laboratory of High-Resolution Electron Microscopy, ShanghaiTech University, Shanghai 201210, China.

Journal of the American Chemical Society
|December 2, 2024
PubMed
Summary
This summary is machine-generated.

Determining covalent organic framework (COF) structures is challenging. A new COF+ method combining electron crystallography and computational intelligence accurately solves COF structures and discovers new candidates.

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Area of Science:

  • Materials Science
  • Crystallography
  • Computational Chemistry

Background:

  • Structural characterization of new materials, particularly covalent organic frameworks (COFs), is challenging due to difficulties in obtaining single crystals.
  • Understanding the atomic structure of COFs is crucial for correlating structure-function relationships and material properties.

Purpose of the Study:

  • To present a novel computational approach for determining the structures of covalent organic frameworks (COFs).
  • To overcome limitations in existing methods for COF structural analysis.

Main Methods:

  • Integration of electron crystallography with computational intelligence, termed COF+.
  • Application of particle swarm optimization (PSO) for generating trial COF structures based on established chemical principles.

Main Results:

  • Successful implementation of the COF+ approach on four diverse COFs, demonstrating accuracy and efficacy.
  • Identification of new, chemically feasible COF structure candidates with novel topologies and interpenetration patterns.

Conclusions:

  • The COF+ method significantly advances the field of COF structural determination.
  • This approach enables exploration of new COF structures, properties, and applications.