Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

The Energies of Atomic Orbitals03:21

The Energies of Atomic Orbitals

29.0K
In an atom, the negatively charged electrons are attracted to the positively charged nucleus. In a multielectron atom, electron-electron repulsions are also observed. The attractive and repulsive forces are dependent on the distance between the particles, as well as the sign and magnitude of the charges on the individual particles. When the charges on the particles are opposite, they attract each other. If both particles have the same charge, they repel each other.
29.0K
Atomic Orbitals02:44

Atomic Orbitals

41.4K
An atomic orbital represents the three-dimensional regions in an atom where an electron has the highest probability to reside. The radial distribution function indicates the total probability of finding an electron within the thin shell at a distance r from the nucleus. The atomic orbitals have distinct shapes which are determined by l, the angular momentum quantum number. The orbitals are often drawn with a boundary surface, enclosing densest regions of the cloud.
41.4K
Electron Orbital Model01:18

Electron Orbital Model

70.7K
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...
70.7K
Valence Bond Theory and Hybridized Orbitals02:38

Valence Bond Theory and Hybridized Orbitals

25.4K
According to valence bond theory, a covalent bond results when: (1) an orbital on one atom overlaps an orbital on a second atom, and (2) the single electrons in each orbital combine to form an electron pair. The strength of a covalent bond depends on the extent of overlap of the orbitals involved. Maximum overlap is possible when the orbitals overlap on a direct line between the two nuclei.
A σ bond (single bond in a Lewis structure) is a covalent bond in which the electron density is...
25.4K
Molecular Orbital Theory II03:51

Molecular Orbital Theory II

24.6K
Molecular Orbital Energy Diagrams
24.6K
MO Theory and Covalent Bonding02:40

MO Theory and Covalent Bonding

13.1K
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...
13.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Structure-property relationships in subnanometric transition metal tetramers.

RSC advances·2026
Same author

Geometry-Based Neural-Network Prediction of Electron Localization Function Topology in Dense Hydrogen.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026
Same author

Hydrogen-directed Au-H-Au chain networks redefine the active structure of sub-2 nm gold nanoparticles.

Nanoscale·2026
Same author

Quantifying the AI readiness gap: An international, multidisciplinary assessment of artificial intelligence literacy in the radiation oncology community.

Clinical and translational radiation oncology·2026
Same author

A New Family of Seniority-Restricted Coupled Cluster Methods.

The journal of physical chemistry. A·2026
Same author

Enhancing Catalyst Stability for Magnetically Induced Aqueous Catalysis: Functionalization with a Hydrosoluble Zwitterionic Amidinate Ligand.

ChemSusChem·2026

Related Experiment Video

Updated: Nov 26, 2025

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

5.8K

Orbital energies and nuclear forces in DFT: Interpretation and validation.

Rubén Laplaza1,2, Carlos Cárdenas3,4, Patrick Chaquin1

  • 1Laboratoire de Chimie Théorique, LCT, Sorbonne Université, CNRS, Paris, France.

Journal of Computational Chemistry
|December 10, 2020
PubMed
Summary

Dynamical orbital forces, derived from conceptual DFT, reveal molecular orbital bonding and antibonding character. This method offers a general approach to interpret ab initio calculations for various chemical systems.

Keywords:
conceptual density functional theorydensity functional theorydynamic orbital forcesnuclear Fukui functionnuclear forces

More Related Videos

Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene
08:44

Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene

Published on: August 22, 2017

7.9K
Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F−
06:53

Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F−

Published on: July 27, 2018

9.0K

Related Experiment Videos

Last Updated: Nov 26, 2025

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid
08:54

Vibrational Spectra of a N719-Chromophore/Titania Interface from Empirical-Potential Molecular-Dynamics Simulation, Solvated by a Room Temperature Ionic Liquid

Published on: January 25, 2020

5.8K
Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene
08:44

Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene

Published on: August 22, 2017

7.9K
Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F−
06:53

Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F−

Published on: July 27, 2018

9.0K

Area of Science:

  • Quantum Chemistry
  • Theoretical Chemistry
  • Computational Chemistry

Background:

  • Molecular orbital theory describes chemical bonding.
  • Orbital energy derivatives, or dynamical orbital forces, relate to orbital character.
  • Existing methods often rely on Koopmans' theorem.

Purpose of the Study:

  • To generalize the derivation of dynamical orbital forces.
  • To demonstrate the applicability of dynamical orbital forces beyond Koopmans' theorem.
  • To showcase the utility of dynamical orbital forces in interpreting chemical phenomena.

Main Methods:

  • Derivation of dynamical orbital forces from conceptual Density Functional Theory (DFT).
  • Numerical validation using Kohn-Sham DFT for valence orbitals.
  • Application to aromatic, antiaromatic, and excited state systems.

Main Results:

  • A more general derivation of dynamical orbital forces is presented.
  • The approach is validated for Kohn-Sham DFT.
  • Useful insights are gained for aromaticity, antiaromaticity, and excited states.

Conclusions:

  • Dynamical orbital forces provide a versatile tool for analyzing molecular orbitals.
  • This method bridges wavefunction and density-based ab initio calculations.
  • It offers a force and occupation-based interpretation of computational results.