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Related Concept Videos

Crystal Field Theory - Octahedral Complexes02:58

Crystal Field Theory - Octahedral Complexes

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.
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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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Lattice energy represents the energy released when gaseous cations and anions combine to form an ionic solid, reflecting the strength of electrostatic interactions within the crystal. This process is fundamentally governed by Coulombic attraction between oppositely charged ions, where the potential energy varies inversely with the interionic distance and directly with the product of ionic charges. As ions approach one another, the electrostatic energy becomes increasingly negative, indicating a...

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Systematic and efficient navigating potential energy surface: Data for silver doped gold clusters.

Vitaly V Chaban1

  • 1Federal University of Sao Paulo, Brazil.

Data in Brief
|May 10, 2016
PubMed
Summary

This study introduces an efficient method for finding the lowest energy structures of atomistic systems. The approach accurately locates global minimum configurations for heavy metal nanoclusters, proving its utility for complex molecular modeling.

Keywords:
Global minimumGoldNanoclusterSimulation

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Area of Science:

  • Computational chemistry
  • Materials science
  • Nanotechnology

Background:

  • Locating the global minimum energy structure of atomistic ensembles is computationally intensive.
  • Accurate structure prediction is crucial for understanding material properties and designing new materials.

Purpose of the Study:

  • To present a robust and efficient computational method for determining the global minimum energy configurations of atomistic systems.
  • To validate the accuracy of the semi-empirical PM7 Hamiltonian for heavy metal nanoclusters.

Main Methods:

  • Utilized a combination of the semi-empirical PM7 Hamiltonian, Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm, and basin hopping optimization.
  • Calibrated the method using the well-established global minimum structure of the Au20 nanocluster.
  • Simulated and analyzed the performance for Au18Ag2 and Au15Ag5 nanoclusters.

Main Results:

  • The benchmarked method demonstrated encouraging results in navigating potential energy surfaces.
  • The PM7 Hamiltonian showed proper accuracy for heavy metal systems, including gold-silver nanoclusters.
  • The study provides a validated dataset for future investigations.

Conclusions:

  • The developed method offers an efficient approach for locating global minimum atomistic configurations.
  • The validated PM7-based methodology is suitable for studying diverse systems and predicting their stable structures.
  • This work encourages the application of the benchmarked method for broader materials science research.