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Crystal Field Theory - Octahedral Complexes02:58

Crystal Field Theory - Octahedral Complexes

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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...
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The molecular orbital theory describes the distribution of electrons in molecules in a manner similar to the distribution of electrons in atomic orbitals. The region of space in which a valence electron in a molecule is likely to be found is called a molecular orbital. Mathematically, the linear combination of atomic orbitals (LCAO) generates molecular orbitals. Combinations of in-phase atomic orbital wave functions result in regions with a high probability of electron density, while...
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Crystal Field Theory - Tetrahedral and Square Planar Complexes02:46

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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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Molecular Orbital Theory I02:35

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Overview of Molecular Orbital Theory
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IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

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A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to...
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Updated: Sep 20, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

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Density-functional theory vs density-functional fits.

Axel D Becke1

  • 1Department of Chemistry, Dalhousie University, 6274 Coburg Road, P.O. Box 15000, Halifax, Nova Scotia B3H 4R2, Canada.

The Journal of Chemical Physics
|June 8, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new density functional theory (DFT) approach for electronic structure calculations. Our physically-based DFT model achieves performance comparable to heavily parameterized methods.

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Area of Science:

  • Computational Chemistry
  • Quantum Mechanics
  • Materials Science

Background:

  • Kohn-Sham density-functional theory (DFT) is a cornerstone of modern electronic structure calculations.
  • Early DFT models relied on simple, parameter-free approximations.
  • Recent advances involve extensive empirical fitting, leading to numerous parameters and potential loss of physical insight.

Purpose of the Study:

  • To develop a new density functional that prioritizes theoretical modeling over extensive empirical fitting.
  • To evaluate the performance of this theoretically grounded functional against highly parameterized methods.
  • To assess the efficacy of physically motivated parameters in DFT approximations.

Main Methods:

  • Development of a novel density functional based on theoretical principles for exchange-correlation modeling.
  • Performance evaluation using the GMTKN55 chemical reference dataset.
  • Comparison against established, heavily parameterized Kohn-Sham functionals.

Main Results:

  • The proposed density functional, with few physically motivated parameters, demonstrates competitive accuracy.
  • Its performance rivals that of extensively fitted functionals on the GMTKN55 benchmark.
  • This suggests that theoretical rigor can yield highly accurate DFT approximations.

Conclusions:

  • A theoretically derived DFT functional can achieve high accuracy comparable to empirical methods.
  • Minimizing empirical parameters while adhering to physical principles is a viable strategy for developing robust DFT functionals.
  • This work advocates for a return to theory-driven development in DFT approximations.