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

Quantum Numbers02:43

Quantum Numbers

50.0K
It is said that the energy of an electron in an atom is quantized; that is, it can be equal only to certain specific values and can jump from one energy level to another but not transition smoothly or stay between these levels.
50.0K
Orthogonal Trajectories01:26

Orthogonal Trajectories

48
Orthogonal trajectories describe the geometric relationship between two families of curves that intersect each other at right angles. One illustrative case involves a family of parabolas that open sideways along the x-axis. These curves share a common shape but differ by a scaling parameter, resulting in a set of curves that all pass through the origin and widen at different rates.Determining Orthogonal TrajectoriesTo identify the orthogonal trajectories for these parabolas, the first step...
48
The Quantum-Mechanical Model of an Atom02:45

The Quantum-Mechanical Model of an Atom

57.2K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
57.2K
Methods of Sterilization II: Chemical Methods01:30

Methods of Sterilization II: Chemical Methods

9.0K
In healthcare, the chemical method of sterilization uses chemical sterilants to treat surgical instruments and medical supplies to help prevent the transmission of infectious pathogens to patients. Due to heat sensitivity, most medical supplies and equipment should not be exposed to high temperatures. These parts include rubber, plastic, glass, and other similar elements.
Using chemical sterilization rather than heat to clean out equipment is recommended. It eradicates and removes all bacteria,...
9.0K
Distance Corrections01:15

Distance Corrections

284
To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
284
Distribution and Dispersion00:54

Distribution and Dispersion

25.1K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
25.1K

You might also read

Related Articles

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

Sort by
Same author

Aitomia: An Agentic Framework for AI-Driven Atomistic and Quantum Chemical Simulations.

Journal of chemical theory and computation·2026
Same author

The Newton-X platform for mixed quantum-classical dynamics.

Physical chemistry chemical physics : PCCP·2026
Same author

Integrating Machine Learning Interatomic Potentials with MMPBSA for Accurate Protein-Ligand Binding Free Energy Calculations.

The journal of physical chemistry. B·2026
Same author

OMNI-P2x universal neural network potential for excited-state simulations.

Nature communications·2026
Same author

Flexible Framework for Surface Hopping: From Hybrid Schemes for Machine Learning to Benchmarkable Nonadiabatic Dynamics.

Journal of chemical theory and computation·2026
Same author

AIQM3: Targeting Coupled-Cluster Accuracy with Semi-Empirical Speed across Seven Main-Group Elements.

Journal of chemical theory and computation·2026
Same journal

Complementing Onsager's Conductivity Theory by Grotthuss Mechanism Mitigation via Ion-Induced Depletion of Hydrogen-Bond-Donating Water.

Journal of chemical theory and computation·2026
Same journal

Microscopic Stress in Biomembranes: A Perspective on Key Concepts, Methods, and Applications.

Journal of chemical theory and computation·2026
Same journal

Analytic Nuclear Gradients Including Oriented External Electric Fields in a Molecule-Fixed Frame.

Journal of chemical theory and computation·2026
Same journal

Knowledge Distillation of a Protein Language Model Yields a Foundational Implicit Solvent Model.

Journal of chemical theory and computation·2026
Same journal

Generalizable Protein Folding Pathway Exploration with DA2-GRASP: Extending Beyond Miniproteins.

Journal of chemical theory and computation·2026
Same journal

Improving PCM in Protic Media: Markov State Models for TD-DFT Calculations.

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

Related Experiment Video

Updated: Jan 29, 2026

Resonance Fluorescence of an InGaAs Quantum Dot in a Planar Cavity Using Orthogonal Excitation and Detection
12:57

Resonance Fluorescence of an InGaAs Quantum Dot in a Planar Cavity Using Orthogonal Excitation and Detection

Published on: October 13, 2017

9.6K

Semiempirical Quantum-Chemical Methods with Orthogonalization and Dispersion Corrections.

Pavlo O Dral1, Xin Wu1, Walter Thiel1

  • 1Max-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1 , 45470 Mülheim an der Ruhr , Germany.

Journal of Chemical Theory and Computation
|February 9, 2019
PubMed
Summary
This summary is machine-generated.

Two new semiempirical quantum-chemical methods, ODM2 and ODM3 (ODM x), offer improved accuracy for predicting molecular properties. These methods incorporate advanced dispersion corrections and thermal energy calculations, outperforming existing models for various chemical applications.

More Related Videos

Calibration Procedures for Orthogonal Superposition Rheology
08:43

Calibration Procedures for Orthogonal Superposition Rheology

Published on: November 18, 2020

2.4K
Production and Targeting of Monovalent Quantum Dots
10:16

Production and Targeting of Monovalent Quantum Dots

Published on: October 23, 2014

26.0K

Related Experiment Videos

Last Updated: Jan 29, 2026

Resonance Fluorescence of an InGaAs Quantum Dot in a Planar Cavity Using Orthogonal Excitation and Detection
12:57

Resonance Fluorescence of an InGaAs Quantum Dot in a Planar Cavity Using Orthogonal Excitation and Detection

Published on: October 13, 2017

9.6K
Calibration Procedures for Orthogonal Superposition Rheology
08:43

Calibration Procedures for Orthogonal Superposition Rheology

Published on: November 18, 2020

2.4K
Production and Targeting of Monovalent Quantum Dots
10:16

Production and Targeting of Monovalent Quantum Dots

Published on: October 23, 2014

26.0K

Area of Science:

  • Computational chemistry
  • Quantum chemistry

Background:

  • Semiempirical quantum-chemical methods are essential for molecular modeling.
  • Existing methods like MNDO-type and OM x have limitations in accuracy.
  • Accurate description of dispersion interactions and thermal effects is crucial.

Purpose of the Study:

  • To introduce two novel semiempirical quantum-chemical methods, ODM2 and ODM3 (ODM x).
  • To enhance the accuracy of predicting ground-state and excited-state properties.
  • To improve the description of noncovalent interactions.

Main Methods:

  • Development of ODM2 and ODM3 methods based on OM2 and OM3 electronic structure models.
  • Incorporation of Grimme's dispersion correction D3 with Becke-Johnson damping.
  • Inclusion of three-body corrections (EABC) for Axilrod-Teller-Muto interactions.
  • Explicit computation of zero-point vibrational energy and thermal corrections for heats of formation.
  • Optimization of parameters for H, C, N, O, and F using state-of-the-art reference data.

Main Results:

  • ODM x methods demonstrate superior performance compared to MNDO-type and OM x methods for ground-state and excited-state properties.
  • Noncovalent interactions are described with accuracy comparable to OM x methods using post-hoc dispersion corrections.
  • Optimized parameters cover key elements relevant to organic and medicinal chemistry.

Conclusions:

  • ODM x methods represent a significant advancement in semiempirical quantum chemistry.
  • These methods provide a more accurate and efficient approach for molecular property prediction.
  • The inclusion of dispersion and thermal corrections enhances predictive power for diverse chemical systems.