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

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
Molecular Orbital Theory I02:35

Molecular Orbital Theory I

43.0K
Overview of Molecular Orbital Theory
43.0K
Molecular Shapes01:18

Molecular Shapes

60.2K
Molecules have characteristic shapes that are crucial for their function. The arrangement of various electron groups around the central atom dictates their molecular geometry. Electron pairs in the valence shell of a central atom will adopt an arrangement that minimizes repulsions between the electron pairs by maximizing the distance between them. The valence electrons form either bonding pairs, located primarily between bonded atoms, or lone pairs.
Two regions of electron density in a diatomic...
60.2K
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

9.6K
9.6K
The Equilibrium Binding Constant and Binding Strength02:18

The Equilibrium Binding Constant and Binding Strength

14.6K
The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
14.6K
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

61.9K
Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
61.9K

You might also read

Related Articles

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

Sort by
Same author

Interstellar ice embedded glycine response to H<sup>+</sup>/proton irradiation. A theoretical study.

Physical chemistry chemical physics : PCCP·2026
Same author

Vibrational Quantum-State-Controlled Reactivity in the O<sub>2</sub><sup>+</sup> + C<sub>3</sub>H<sub>4</sub> Reaction.

The journal of physical chemistry letters·2026
Same author

QMCkl: A kernel library for quantum Monte Carlo applications.

The Journal of chemical physics·2026
Same author

Electron-Induced Fragmentation Dynamics of 1-Methylpyrene (C<sub>17</sub>H<sub>12</sub>) Dications and Trications: C<sub>2</sub>H<sub><i>x</i></sub><sup><i>q</i>+</sup> Release Pathways.

The journal of physical chemistry. A·2026
Same author

Rotational Behavior in Piano Stool Ru(II) Complexes with Bulky-Substituted Cyclopentadienyl Ligands.

ACS organic & inorganic Au·2026
Same author

The ARMAGNHAC Database: A Ratio-based Molecular Analyzer and Generator of Numerous Hydrogenated Amorphous Carbons.

The journal of physical chemistry. A·2025
Same journal

Modeling biomolecular condensates across scales: Atomistic, coarse-grained, and data-driven approaches.

Advances in physics: X·2026
Same journal

Recent Advancements in Nanophotonics for Optofluidics.

Advances in physics: X·2024
Same journal

Water adsorption and dynamics on graphene and other 2D materials: Computational and experimental advances.

Advances in physics: X·2023
Same journal

Assessing membrane material properties from the response of giant unilamellar vesicles to electric fields.

Advances in physics: X·2022
Same journal

Computational methods and theory for ion channel research.

Advances in physics: X·2022
Same journal

Advances in multi-dimensional coherent spectroscopy of semiconductor nanostructures.

Advances in physics: X·2017
See all related articles

Related Experiment Video

Updated: Dec 1, 2025

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

8.5K

Density-functional tight-binding: basic concepts and applications to molecules and clusters.

Fernand Spiegelman1, Nathalie Tarrat2, Jérôme Cuny1

  • 1Laboratoire de Chimie et Physique Quantiques LCPQ/IRSAMC, UMR5626, Université de Toulouse (UPS)and CNRS, Toulouse, France.

Advances in Physics: X
|November 6, 2020
PubMed
Summary
This summary is machine-generated.

Density Functional based Tight Binding (DFTB) offers a computationally efficient method for studying molecular systems. This overview details DFTB

Keywords:
DFTBclusterselectronic structuremoleculessimulation

More Related Videos

Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

11.4K
Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

3.4K

Related Experiment Videos

Last Updated: Dec 1, 2025

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

8.5K
Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

11.4K
Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

3.4K

Area of Science:

  • Computational Chemistry
  • Materials Science
  • Quantum Mechanics

Background:

  • Density Functional Theory (DFT) provides accurate electronic structure calculations but is computationally expensive.
  • The Tight Binding (TB) method offers a simpler, faster approach but often lacks accuracy.
  • Density Functional based Tight Binding (DFTB) combines the strengths of both DFT and TB.

Purpose of the Study:

  • To provide a comprehensive overview of the Density Functional based Tight Binding (DFTB) method.
  • To discuss the fundamental principles and standard formulation of DFTB.
  • To review recent methodological advancements and diverse applications of DFTB.

Main Methods:

  • Standard second-order expansion of DFTB.
  • Third-order expansion for improved accuracy.
  • Inclusion of non-covalent interactions and self-interaction error correction schemes.
  • Time-dependent DFTB for excited states.
  • Hybrid DFT/DFTB and DFTB/Molecular Mechanics (MM) schemes.
  • Fragment decomposition for large systems.
  • Molecular dynamics simulations for potential energy landscapes.
  • Non-adiabatic dynamics calculations.

Main Results:

  • DFTB accurately describes various systems, including small and large molecules, biomolecules, and clusters.
  • DFTB enables the study of diverse properties like vibrational spectroscopy, thermodynamics, and fragmentation.
  • Methodological developments extend DFTB's applicability to excited states and complex dynamics.

Conclusions:

  • DFTB is a versatile and efficient method for a wide range of chemical and material science problems.
  • Ongoing developments continue to expand the scope and accuracy of DFTB.
  • DFTB serves as a powerful tool for exploring molecular properties and dynamics.