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

Catalysis02:50

Catalysis

30.8K
The presence of a catalyst affects the rate of a chemical reaction. A catalyst is a substance that can increase the reaction rate without being consumed during the process. A basic comprehension of a catalysts’ role during chemical reactions can be understood from the concept of reaction mechanisms and energy diagrams.
30.8K
Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

345
Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
345
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

10.9K
For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes...
10.9K
Group Design02:01

Group Design

10.8K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
10.8K
Cluster Sampling Method01:20

Cluster Sampling Method

14.9K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
14.9K
Vesicular Tubular Clusters01:45

Vesicular Tubular Clusters

3.3K
After budding out from the ER membrane, some COPII vesicles lose their coat and fuse with one another to form larger vesicles and interconnected tubules called vesicular tubular clusters or VTCs. These clusters constitute a compartment at the ER-Golgi interface known as ERGIC (Endoplasmic Reticulum Golgi Intermediate Compartment). The ERGIC is a mobile membrane-bound cargo transport system that sorts proteins secreted from ER and delivers them to the Golgi.
With the help of motor proteins such...
3.3K

You might also read

Related Articles

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

Sort by
Same author

Modeling CO<sub>2</sub> Hydrogenation to Methanol on an Ensemble of Inverse ZrO<sub>2</sub> on Cu Catalytic Sites: Mechanism, Reactivity, and Deactivation.

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

Cation-Limited Hydroxide Anion Diffusion Drives Asymmetric Hydrogen Kinetics on Transition-Metal Decorated Platinum Surface.

Journal of the American Chemical Society·2026
Same author

What can Raman spectroscopy really say about the adsorbed CO on roughened Cu electrodes in CO<sub>2</sub> electroreduction conditions?

Faraday discussions·2026
Same author

A protein-based model of carbon monoxide dehydrogenase exhibits tunable covalency across cluster oxidation and ligand-bound states.

Chemical science·2026
Same author

Low-Temperature Non-Oxidative Coupling of Methane on Atomically Dispersed Titanium-Aluminum-Boron Nanopowder.

Journal of the American Chemical Society·2026
Same author

The Crucial Role of Hydrogen Ligation in the Stability of Single Atoms on Rutile TiO<sub>2</sub>: A First-Principles Study.

ACS applied materials & interfaces·2026
Same journal

Coadsorption of Atmospheric Surface-Active Organics at the Aqueous Interface: A Molecular Dynamics Study.

Annual review of physical chemistry·2026
Same journal

Control of Chemical Reactions in Radiofrequency Ion Traps.

Annual review of physical chemistry·2026
Same journal

Theories of Chiral-Induced Spin Selectivity: A Pedagogical Overview.

Annual review of physical chemistry·2026
Same journal

Quantum Computing Beyond Ground-State Electronic Structure: A Review of Progress Toward Quantum Chemistry Out of the Ground State.

Annual review of physical chemistry·2026
Same journal

First-Principles Simulations of Chemical Transformations in Nanoporous Materials and Industrial Catalysts.

Annual review of physical chemistry·2026
Same journal

Structure and Dynamics of Microhydrated Complexes Revealed with Rotational Spectroscopy.

Annual review of physical chemistry·2026
See all related articles

Related Experiment Video

Updated: Feb 13, 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

8.7K

Computational Design of Clusters for Catalysis.

Elisa Jimenez-Izal1,2, Anastassia N Alexandrova1,3

  • 1Department of Chemistry and Biochemistry, University of California, Los Angeles, California 90095, USA;

Annual Review of Physical Chemistry
|March 1, 2018
PubMed
Summary
This summary is machine-generated.

Small clusters are crucial in catalysis, but their behavior under real conditions differs from fundamental studies. Understanding dynamic, metastable states is key to optimizing catalyst performance.

Keywords:
DFTcatalysisfluxionalitynanoclustersplatinumrealistic modeling

More Related Videos

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
10:40

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis

Published on: April 25, 2022

2.9K
Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

11.8K

Related Experiment Videos

Last Updated: Feb 13, 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

8.7K
CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
10:40

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis

Published on: April 25, 2022

2.9K
Spatial Separation of Molecular Conformers and Clusters
10:37

Spatial Separation of Molecular Conformers and Clusters

Published on: January 9, 2014

11.8K

Area of Science:

  • Chemical physics and physical chemistry
  • Catalysis science

Background:

  • Small clusters are typically studied for electronic structure and spectroscopy.
  • Their behavior under real catalytic conditions (high temperature, reagent coverage) is less understood.

Purpose of the Study:

  • To explore the complex behavior of small clusters in catalysis under realistic conditions.
  • To highlight the importance of dynamic, metastable states in cluster catalysis.

Main Methods:

  • Review of current research on cluster catalysis.
  • Discussion of advanced tools for synthesis, operando measurements, and multiscale modeling.

Main Results:

  • Catalysis is driven by dynamic, metastable cluster states under reaction conditions.
  • Catalyst activity, selectivity, and stability depend heavily on size, composition, shape, support, and environment.

Conclusions:

  • Mastering cluster catalysis requires understanding systems under operando conditions.
  • Sophisticated tools are essential for probing and controlling cluster catalysts effectively.