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Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra. Schrödinger...
Electronic Structure of Atoms02:28

Electronic Structure of Atoms


An atom comprises protons and neutrons, which are contained inside the dense, central core called the nucleus, with electrons present around the nucleus. Taking into account the wave–particle duality of electrons and the uncertainty in position around the nucleus, quantum mechanics provides a more accurate model for the atomic structure. It describes atomic orbitals as the regions around the nucleus where electrons of discrete energy exist, characterized by four quantum numbers:  n, l, ml, and...
Electron Orbital Model01:18

Electron Orbital Model

Orbitals are the areas outside of the atomic nucleus where electrons are most likely to reside. They are characterized by different energy levels, shapes, and three-dimensional orientations. The location of electrons is described most generally by a shell or principal energy level, then by a subshell within each shell, and finally, by individual orbitals found within the subshells.
The first shell is closest to the nucleus, and it has only one subshell with a single spherical orbital called the...
Molecular Orbital Theory II03:51

Molecular Orbital Theory II

Molecular Orbital Energy Diagrams
Structure of Benzene: Molecular Orbital Model01:18

Structure of Benzene: Molecular Orbital Model

According to the molecular orbital (MO) model, benzene has a planar structure with a regular hexagon of six sp2 hybridized carbons. As shown in Figure 1, each carbon is bonded to three other atoms with C–C–C and H–C–C bond angles of 120°. The C–H bond length is 109 pm, and the C–C bond length is 139 pm which is midway between the single bond length of sp3 hybridized carbons (154 pm) and sp2 hybridized carbons (133 pm).

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Related Experiment Video

Updated: May 28, 2026

Modeling Ligands into Maps Derived from Electron Cryomicroscopy
09:30

Modeling Ligands into Maps Derived from Electron Cryomicroscopy

Published on: July 19, 2024

A new parametrizable model of molecular electronic structure.

Dimitri N Laikov1

  • 1Chemistry Department, Moscow State University, 119992 Moscow, Russia. laikov@rad.chem.msu.ru

The Journal of Chemical Physics
|October 14, 2011
PubMed
Summary

A novel electronic structure model offers accurate predictions for molecular properties. This method improves upon traditional semiempirical models, providing higher accuracy at a comparable computational cost for large systems.

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Last Updated: May 28, 2026

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Area of Science:

  • Computational Chemistry
  • Theoretical Chemistry
  • Quantum Chemistry

Background:

  • Accurate electronic structure calculations are crucial for understanding molecular properties.
  • Traditional semiempirical models often lack accuracy for complex systems.
  • Developing computationally efficient yet accurate models remains a challenge.

Purpose of the Study:

  • To develop a new electronic structure model for accurate prediction of molecular properties.
  • To improve dipole polarizabilities and intermolecular potentials, including dispersion terms.
  • To bridge the gap between traditional semiempirical methods and high-level correlated wavefunction theories.

Main Methods:

  • A Hartree-Fock-like electronic structure model using parametrized integrals.
  • Inclusion of polarization functions via second-order perturbation theory.
  • Extraction of Kohn-Sham Hamiltonian from coupled-cluster density matrix for parametrization.

Main Results:

  • The model was trained on 5581 molecules across 15 elements, involving 720 parameters.
  • Good agreement was observed between the model's predictions and coupled-cluster reference data.
  • The model successfully incorporates three-center one-electron and two-center two-electron integrals analytically.

Conclusions:

  • The new model achieves higher accuracy than traditional semiempirical methods.
  • It offers a promising approach for studying large molecular systems efficiently.
  • This work represents a significant step towards accurate and cost-effective computational chemistry.