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

Hydrogen Bonds01:04

Hydrogen Bonds

7.7K
A hydrogen bond is formed when a weakly positive hydrogen atom already bonded to one electronegative atom (for example, the oxygen in the water molecule) is attracted to another electronegative atom from another polar molecule, such as water (H2O), hydrogen fluoride (HF), or ammonia (NH3). The huge electronegativity difference between the H atom (2.1) and the atom to which it is bonded (4.0 for an F atom, 3.5 for an O atom, or 3.0 for an N atom), combined with the very small size of an H atom...
7.7K
Bond Energies and Bond Lengths02:49

Bond Energies and Bond Lengths

24.8K
Stable molecules exist because covalent bonds hold the atoms together. The strength of a covalent bond is measured by the energy required to break it, that is, the energy necessary to separate the bonded atoms. Separating any pair of bonded atoms requires energy — the stronger a bond, the greater the energy required to break it.
24.8K
IR Spectrum Peak Broadening: Hydrogen Bonding01:23

IR Spectrum Peak Broadening: Hydrogen Bonding

776
The vibrational frequency of a bond is directly proportional to its bond strength. As a result, stronger bonds vibrate at higher frequencies, while weaker bonds vibrate at lower frequencies. The stretching vibration of the strong O–H bond in alcohols and phenols (very dilute solution or gas phase) appears as a sharp peak at 3600–3650 cm−1.
However, the extent of hydrogen bonding influences the observed stretching frequency and band broadening. Intermolecular or intramolecular...
776
Noncovalent Attractions in Biomolecules02:35

Noncovalent Attractions in Biomolecules

46.3K
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,...
46.3K
Molecular Orbital Theory II03:51

Molecular Orbital Theory II

18.7K
Molecular Orbital Energy Diagrams
18.7K
VSEPR Theory and the Effect of Lone Pairs04:01

VSEPR Theory and the Effect of Lone Pairs

41.5K
Effect of Lone Pairs of Electrons on Molecule Geometry
41.5K

You might also read

Related Articles

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

Sort by
Same author

Reaching precise proton affinities in non-Born-Oppenheimer calculations.

The Journal of chemical physics·2026
Same author

Triply-Linked N-Confused Porphyrin Dimers: Cross Conjugation-Mediated Expansion of π-Conjugation.

Angewandte Chemie (International ed. in English)·2026
Same author

Change of the aromatic nature through face-to-face stacking.

Chemical science·2026
Same author

A Reusable Library for Second-Order Orbital Optimization Using the Trust Region Method.

Journal of chemical theory and computation·2026
Same author

The Electronic Structure of Planar Rhombic Co<sub>2</sub>O<sub>2</sub>.

The journal of physical chemistry. A·2026
Same author

Steric Effects of β-Annulated Pyrroles Trigger the Formation of Ethynylene-Bridged Hexaphyrinogen versus Ethynylene-Cumulene-Linked Aromatic [30] π Hexaphyrin.

Organic letters·2025
Same journal

Active learning-driven global search for neutral gold clusters <i>via</i> neural network potential.

Physical chemistry chemical physics : PCCP·2026
Same journal

Development of indole-based hydration-sensitive fluorescent nucleoside analogues: experimental and computational studies.

Physical chemistry chemical physics : PCCP·2026
Same journal

Gradient engineering enabled thermoelectric performance optimization in LaP/LaAs heterostructures.

Physical chemistry chemical physics : PCCP·2026
Same journal

Barrierless proton and hydrogen atom migrations in photoionized benzaldehyde clusters result in benzyl alcohol formation: an ion-molecule perspective.

Physical chemistry chemical physics : PCCP·2026
Same journal

Weakly protonated polyethylenimine induces SiC flocculation in alkaline suspensions.

Physical chemistry chemical physics : PCCP·2026
Same journal

Accurate interdomain contacts in a mixed folded protein from NMR-guided coarse-grained simulations.

Physical chemistry chemical physics : PCCP·2026
See all related articles

Related Experiment Video

Updated: May 15, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

12.7K

Density functional benchmark for quadruple hydrogen bonds.

Usman Ahmed1, Mikael P Johansson1,2, Susi Lehtola1

  • 1Department of Chemistry, University of Helsinki, P.O. Box 55, A. I. Virtasen aukio 1, FI-00014, Finland. susi.lehtola@helsinki.fi.

Physical Chemistry Chemical Physics : PCCP
|April 9, 2025
PubMed
Summary
This summary is machine-generated.

Density functional theory (DFT) approximates hydrogen bonding energies. The B97M-V functional with D3BJ dispersion correction best reproduced benchmark energies, outperforming other density functional approximations (DFAs).

More Related Videos

Measuring Biomolecular DSC Profiles with Thermolabile Ligands to Rapidly Characterize Folding and Binding Interactions
09:15

Measuring Biomolecular DSC Profiles with Thermolabile Ligands to Rapidly Characterize Folding and Binding Interactions

Published on: November 21, 2017

8.2K
Capillary Electrophoresis-based Hydrogen/Deuterium Exchange for Conformational Characterization of Proteins with Top-down Mass Spectrometry
05:45

Capillary Electrophoresis-based Hydrogen/Deuterium Exchange for Conformational Characterization of Proteins with Top-down Mass Spectrometry

Published on: June 8, 2021

3.2K

Related Experiment Videos

Last Updated: May 15, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

12.7K
Measuring Biomolecular DSC Profiles with Thermolabile Ligands to Rapidly Characterize Folding and Binding Interactions
09:15

Measuring Biomolecular DSC Profiles with Thermolabile Ligands to Rapidly Characterize Folding and Binding Interactions

Published on: November 21, 2017

8.2K
Capillary Electrophoresis-based Hydrogen/Deuterium Exchange for Conformational Characterization of Proteins with Top-down Mass Spectrometry
05:45

Capillary Electrophoresis-based Hydrogen/Deuterium Exchange for Conformational Characterization of Proteins with Top-down Mass Spectrometry

Published on: June 8, 2021

3.2K

Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Supramolecular Chemistry

Background:

  • Hydrogen bonding is a key non-covalent interaction crucial for molecular self-organization and supramolecular structures.
  • Accurate description of hydrogen bonding via *ab initio* methods is computationally expensive for large systems.
  • Density functional theory (DFT) provides a balance of accuracy and computational efficiency for large molecular assemblies.

Purpose of the Study:

  • To benchmark the performance of 152 density functional approximations (DFAs) in reproducing highly accurate hydrogen bonding energies.
  • To identify the most reliable DFAs for studying hydrogen bonding in large molecular systems.
  • To guide the selection of appropriate DFAs for computational chemistry applications involving hydrogen bonds.

Main Methods:

  • Utilized a dataset of highly accurate hydrogen bonding energies for 14 quadruply hydrogen-bonded dimers, previously obtained by extrapolating coupled-cluster energies to the complete basis set limit.
  • Evaluated 152 different DFAs for their ability to reproduce these benchmark hydrogen bonding energies.
  • Analyzed the performance of various functional families, including Berkeley and Minnesota functionals, with and without dispersion corrections.

Main Results:

  • The B97M-V functional, when combined with the D3BJ dispersion correction, emerged as the top-performing DFA.
  • Eight variants of Berkeley functionals and two Minnesota 2011 functionals (with dispersion corrections) were among the ten best-performing DFAs.
  • Modifications to the dispersion components of other Berkeley functionals resulted in decreased accuracy.

Conclusions:

  • The B97M-V functional with D3BJ dispersion correction is recommended as the best DFA for accurately calculating hydrogen bonding energies.
  • The study highlights the importance of dispersion corrections and specific functional designs for reliable DFT calculations of hydrogen bonds.
  • Findings provide essential guidance for researchers selecting DFT methods for studying hydrogen bonding in complex systems.