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

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

34.6K
VSEPR Theory for Determination of Electron Pair Geometries
34.6K
Atomic Absorption Spectroscopy: Atomization Methods01:25

Atomic Absorption Spectroscopy: Atomization Methods

596
Atomic Absorption Spectroscopy (AAS) atomizes samples through flame atomization or electrothermal atomization. Flame atomization typically involves a nebulizer and spray chamber assembly to combine the sample with a fuel–oxidant mixture, creating a fine aerosol mist that enters a burner. Typically, the fuel and oxidant are combined in an approximately stoichiometric ratio. However, for atoms that are easily oxidized, a fuel-rich mixture may be more advantageous. Only about 5% of the...
596
Atomic Absorption Spectroscopy: Interference01:25

Atomic Absorption Spectroscopy: Interference

872
Interference leads to systematic error in atomic absorption (AA) measurements by enhancing or diminishing the analytical signal or the background. These interferences can be grouped into three main categories: spectral interference, chemical interference, and physical interference.
Spectral interference occurs when signals from other elements or molecules overlap with the analyte signal, falsely elevating or masking the analyte's absorbance. This interference can be corrected using Zeeman,...
872
Analyte Adsorption and Distribution01:09

Analyte Adsorption and Distribution

707
In certain chromatographic separations, solutes transfer between the mobile phase and the stationary phase via sorption, which typically refers to the process of adsorption. For many chromatographic systems, the sorption process often depends on the polarity of the compounds—an expression of the overall dipole moment within the molecule. During the separation process, there is competition between the solute and solvent for adsorption to the stationary phase. Highly polar compounds and...
707

You might also read

Related Articles

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

Sort by
Same author

High-Durability Metal-Doped Cu/ZnO/Al<sub>2</sub>O<sub>3</sub> Catalysts for Reforming of Model Biomethanol.

ChemistryOpen·2026
Same author

Efficient quantum algorithm for the design of complex materials: quantum circuit learning.

Scientific reports·2026
Same author

High baseline CD317 expression on T cells predicts favorable anifrolumab response in systemic lupus erythematosus.

Frontiers in immunology·2026
Same author

Low-temperature CO<sub>2</sub> methanation over Ni catalysts supported on nanocrystalline CeO<sub>2</sub> in an electric field.

RSC advances·2026
Same author

Robotic-Assisted Sigmoidectomy with D3 Lymphadenectomy for Sigmoid Colon Cancer in a Patient with Situs Inversus Totalis: A Case Report.

Surgical case reports·2026
Same author

Portal vein stenting for variceal bleeding at the choledochojejunostomy site in a patient with portal vein occlusion or stenosis: Report of two cases.

International journal of surgery case reports·2026

Related Experiment Video

Updated: Aug 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

8.3K

Quantum Annealing Boosts Prediction of Multimolecular Adsorption on Solid Surfaces Avoiding Combinatorial Explosion.

Hiroshi Sampei1, Koki Saegusa1, Kenshin Chishima1

  • 1Department of Applied Chemistry, Waseda University, Tokyo 169-8555, Japan.

JACS Au
|May 1, 2023
PubMed
Summary

Quantum annealing accelerates molecular adsorption prediction on solid surfaces. This novel method drastically reduces computation time for finding stable configurations, aiding materials science and catalysis research.

More Related Videos

Monitoring Protein Adsorption with Solid-state Nanopores
08:51

Monitoring Protein Adsorption with Solid-state Nanopores

Published on: December 2, 2011

13.6K
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

12.9K

Related Experiment Videos

Last Updated: Aug 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

8.3K
Monitoring Protein Adsorption with Solid-state Nanopores
08:51

Monitoring Protein Adsorption with Solid-state Nanopores

Published on: December 2, 2011

13.6K
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

12.9K

Area of Science:

  • Materials Science
  • Computational Chemistry
  • Surface Science

Background:

  • Adsorption on solid surfaces is critical in many scientific fields, including catalysis and materials science.
  • Predicting stable molecular coordination for multimolecular adsorption is computationally challenging due to the vast number of possible configurations.
  • Existing theoretical methods struggle with the combinatorial complexity of high-coverage adsorption scenarios.

Purpose of the Study:

  • To introduce a novel quantum annealing-based method for rapid prediction of molecular adsorption coordination on solid surfaces.
  • To overcome the combinatorial explosion issue in theoretical calculations for multimolecular adsorption.
  • To demonstrate significantly improved speed and accuracy in identifying stable adsorption configurations.

Main Methods:

  • Utilized the principle of quantum annealing to perform adsorption coordination searches.
  • Developed a method to avoid combinatorial explosion in exploring potential molecular arrangements.
  • Applied the method to predict the configurational adsorption of 16 molecules on a solid surface.

Main Results:

  • The quantum annealing method achieved significantly faster search times compared to conventional approaches.
  • Identified more stable molecular arrangements, particularly in high-coverage regions.
  • Reduced the configurational prediction time for 16 molecules from 38,601 seconds to 2286 seconds (including one-time preparation).

Conclusions:

  • Quantum annealing offers a powerful and efficient approach for predicting molecular adsorption coordination.
  • This method accelerates the optimization of adsorption behavior in complex systems like composite materials.
  • Enables large-scale modeling of adsorption phenomena, advancing surface science and related applications.