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

Molecular Orbital Theory I02:35

Molecular Orbital Theory I

49.2K
Overview of Molecular Orbital Theory
49.2K
Electron Orbital Model01:18

Electron Orbital Model

76.5K
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...
76.5K
Atomic Orbitals02:44

Atomic Orbitals

47.3K
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.
47.3K
Molecular Orbital Theory II03:51

Molecular Orbital Theory II

28.4K
Molecular Orbital Energy Diagrams
28.4K
The Energies of Atomic Orbitals03:21

The Energies of Atomic Orbitals

31.1K
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.
31.1K
MO Theory and Covalent Bonding02:40

MO Theory and Covalent Bonding

14.8K
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...
14.8K

You might also read

Related Articles

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

Sort by
Same author

Supramolecular purification of mono-adamantane mixtures <i>via</i> stabilized three-shell Matryoshka assemblies.

Chemical science·2026
Same author

Chemical bonding concepts emerge naturally from maximally entangled atomic orbitals.

Nature communications·2026
Same author

Single-molecule kinetic exploration of functional sub-states in an evolving phosphotriesterase.

Nature communications·2026
Same author

Establishing the Fatty Acid Photodecarboxylase <i>Cv</i>FAP as a Platform for Photobiocatalytic Radical Transformations.

ACS catalysis·2026
Same author

Correction: Deciphering the molecular origin of the 19.3 eV electronic excitation energy of H<sub>3</sub><sup></sup>.

Chemical science·2026
Same author

Light-Induced Rotation of a Molecular Motor in the Confined Space of a Metal-Organic Nanocage.

Journal of the American Chemical Society·2026
Same journal

Electron Alchemy with Machine-Learned Interatomic Potentials: Case Studies of Local Charge in Bond Dissociation Curves.

Journal of chemical theory and computation·2026
Same journal

Multilevel Fragmentation and Boundary Corrections for Accurate Vibrational Spectra of Large Molecules.

Journal of chemical theory and computation·2026
Same journal

Special Topics: Developments of Theoretical and Computational Chemistry Methods in Asia.

Journal of chemical theory and computation·2026
Same journal

Predicting Excited-State Energies from Ground-State Descriptors in Thermally Fluctuating π-Conjugated Molecules.

Journal of chemical theory and computation·2026
Same journal

Many-Body Theory Predictions of Positron Binding Energies in Five-Membered Heterocycles Involving N, O, S, and NH Substituents.

Journal of chemical theory and computation·2026
Same journal

<i>opt</i>-DDAP: Optimizable Density-Derived Atomic Point Charges via Automatic Differentiation.

Journal of chemical theory and computation·2026
See all related articles

Related Experiment Video

Updated: Mar 29, 2026

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

9.1K

Electron Localization Function at the Correlated Level: A Natural Orbital Formulation.

Ferran Feixas1, Eduard Matito1, Miquel Duran1

  • 1Institut de Química Computacional i Department de Química, Universitat de Girona, Campus de Montilivi, 17071 Girona, Catalonia, Spain, Institute of Physics, University of Szczecin, Wielkopolska 15, 70-451 Szczecin, Poland, and Laboratoire de Chimie Théorique Université Pierre et Marie Curie 3, rue Galilée 94200 Ivry sur Seine, Paris, France.

Journal of Chemical Theory and Computation
|December 1, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a 2-fold approximation for calculating the electron localization function (ELF) without needing two-particle density (2-PD). This method enables routine ELF calculations for medium-sized molecules using correlated electronic structure methods.

More Related Videos

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
09:30

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

Published on: July 19, 2024

2.3K
Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F&#8722;
06:53

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

Published on: July 27, 2018

9.3K

Related Experiment Videos

Last Updated: Mar 29, 2026

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids
08:04

Excitonic Hamiltonians for Calculating Optical Absorption Spectra and Optoelectronic Properties of Molecular Aggregates and Solids

Published on: May 27, 2020

9.1K
Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps
09:30

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

Published on: July 19, 2024

2.3K
Photoelectron Imaging of Anions Illustrated by 310 Nm Detachment of F&#8722;
06:53

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

Published on: July 27, 2018

9.3K

Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Materials Science

Background:

  • The electron localization function (ELF) is crucial for understanding chemical bonding.
  • Calculating ELF typically requires two-particle density (2-PD), limiting its use with certain computational methods.
  • Correlated methods like CCSD and MP2 are powerful but often incompatible with standard ELF calculations due to 2-PD requirements.

Purpose of the Study:

  • To develop a computationally efficient approximation for the electron localization function (ELF).
  • To enable the calculation of ELF using correlated methods that do not readily provide two-particle density (2-PD).
  • To facilitate routine ELF analysis in medium-sized molecules.

Main Methods:

  • A 2-fold approximation strategy was developed for ELF calculation.
  • The first approximation refines the ELF computation itself.
  • The second approximation estimates pair populations within ELF basins, utilizing natural orbitals and their occupancies.

Main Results:

  • The proposed method successfully calculates ELF without explicit two-particle density (2-PD).
  • Natural orbitals and their occupancies, readily available from most electronic structure methods, are sufficient inputs.
  • The approximation allows the use of advanced correlated methods (e.g., CCSD, MP2) for ELF analysis.

Conclusions:

  • This work presents a practical and robust approximation for ELF calculations.
  • The method overcomes limitations associated with two-particle density (2-PD) in correlated electronic structure theory.
  • It paves the way for routine ELF analysis in medium-sized molecules using high-level computational chemistry techniques.