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

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
Hybridization of Atomic Orbitals II03:35

Hybridization of Atomic Orbitals II

50.3K
sp3d and sp3d 2 Hybridization
50.3K
Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

69.3K
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
69.3K
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
Molecular Orbital Theory I02:35

Molecular Orbital Theory I

49.2K
Overview of Molecular Orbital Theory
49.2K
Molecular Orbital Theory II03:51

Molecular Orbital Theory II

28.4K
Molecular Orbital Energy Diagrams
28.4K

You might also read

Related Articles

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

Sort by
Same author

EphA2 sustains the adaptive response of colorectal organoids to chemotherapy.

Frontiers in cell and developmental biology·2026
Same author

A length-gauge origin-invariant approach to vibrational circular dichroism spectra without gauge-including atomic orbitals.

The Journal of chemical physics·2026
Same author

Ruptured primary intrahepatic ectopic pregnancy: A case report and review of literature.

World journal of clinical cases·2026
Same author

Length vs velocity gauge formulation of the frequency-dependent polarizability for 1D periodic systems at coupled cluster with single and double excitations level.

The Journal of chemical physics·2026
Same author

Weak Noncovalent Interactions in Nonequilibrium Structures: How Good Are the Dispersion Corrections?

The journal of physical chemistry letters·2026
Same author

Comparison of purse-string technique versus linear suture for skin closure after stoma reversal: a meta-analysis of high-quality studies.

Annals of coloproctology·2026

Related Experiment Video

Updated: Mar 29, 2026

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

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.8K

Projected Coupled Cluster Amplitudes from a Different Basis Set As Initial Guess.

Marco Caricato1, Gary W Trucks1, Michael J Frisch1

  • 1Gaussian, Inc., 340 Quinnipiac St. Bldg. 40, Wallingford, Connecticut 06492, United States.

Journal of Chemical Theory and Computation
|November 26, 2015
PubMed
Summary

This study introduces a novel method for accelerating coupled cluster (CC) calculations by using corresponding orbitals to generate better initial guesses. This approach significantly reduces computational time and cycles needed for convergence in quantum chemistry.

More Related Videos

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
Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
13:56

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

Published on: October 12, 2019

8.5K

Related Experiment Videos

Last Updated: Mar 29, 2026

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

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.8K
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
Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
13:56

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

Published on: October 12, 2019

8.5K

Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • High-level calculations, such as coupled cluster (CC) methods, are crucial in computational chemistry.
  • The efficiency of iterative CC equation solvers heavily relies on the quality of the initial guess.
  • Standard initial guesses can slow down convergence, increasing computational cost.

Purpose of the Study:

  • To develop an improved strategy for generating initial guesses in CC calculations.
  • To leverage previous CC calculation results with different basis sets for a more efficient starting point.
  • To reduce the number of iterative cycles required for convergence.

Main Methods:

  • Employing the concept of corresponding orbitals to link results from previous CC calculations.
  • Projecting converged amplitudes from a prior calculation that correspond to the new basis set space.
  • Utilizing this projection as a new, improved initial guess for subsequent calculations.

Main Results:

  • The proposed method significantly reduces the number of iterative cycles needed for convergence.
  • Computational time for generating the guess is negligible.
  • Demonstrated effectiveness for ground and excited state calculations using CCSD and EOM-CCSD methods.
  • Validated with restricted and unrestricted Hartree-Fock reference functions.

Conclusions:

  • The corresponding orbitals approach provides a superior initial guess for CC calculations compared to standard methods.
  • This strategy offers substantial computational savings without significant overhead.
  • The method is general and applicable to various CC expansions and reference functions.