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

Ionic Crystal Structures02:42

Ionic Crystal Structures

16.2K
Ionic crystals consist of two or more different kinds of ions that usually have different sizes. The packing of these ions into a crystal structure is more complex than the packing of metal atoms that are the same size.
Most monatomic ions behave as charged spheres, and their attraction for ions of opposite charge is the same in every direction. Consequently, stable structures for ionic compounds result (1) when ions of one charge are surrounded by as many ions as possible of the opposite...
16.2K
Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

60.0K
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
60.0K
Newman Projections02:06

Newman Projections

19.6K
Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as...
19.6K
Structures of Solids02:22

Structures of Solids

16.9K
Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...
16.9K
Network Covalent Solids02:18

Network Covalent Solids

15.6K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
15.6K
Thermal Sigmatropic Reactions: Overview01:16

Thermal Sigmatropic Reactions: Overview

2.3K
Sigmatropic rearrangements are a class of pericyclic reactions in which a σ bond migrates from one part of a π system to another. These are intramolecular rearrangements where the total number of σ and π bonds remain unchanged.
Sigmatropic shifts are classified based on an order term [i, j ], where i and j indicate the number of atoms across which each end of the σ bond migrates. Below are examples of a [3,3] sigmatropic shift in 1,5-hexadiene, referred...
2.3K

You might also read

Related Articles

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

Sort by
Same author

Design improvements for a recirculating reactor: Enhanced temperature measurement and sample-isolated reactivity in steady-state kinetic studies.

The Review of scientific instruments·2026
Same author

Tandem bulk oxygen diffusion and surface reactions in reducible metal oxides control redox cycle dynamics.

Nature communications·2026
Same author

Alumina Priming-Mediated Enhanced Binding of Diethylzinc with Carbonyl Groups in Poly(Methyl Methacrylate) during Vapor-Phase Infiltration.

Chemistry of materials : a publication of the American Chemical Society·2026
Same author

Mechanism of Vapor-Phase Infiltration of Organometallic Hf in Poly(Methyl Methacrylate) for Hybrid Resist Applications.

Chemistry of materials : a publication of the American Chemical Society·2026
Same author

Thermally driven surface phase separation in intermetallic alloys.

Nature communications·2025
Same author

Surface Phase Stability of Fe<sub>2</sub>O<sub>3</sub>(001) in Hydrogen Reducing Environments: A DFT and XPS Analysis.

The journal of physical chemistry letters·2025
Same journal

Unraveling the synergy of core doping and the motif shell in atomically precise PtAg nanoclusters for CF<sub>3</sub>-ketone alkynylation.

Nanoscale·2026
Same journal

A dual-functional heavy-metal-free quantum dot/TiO<sub>2</sub> hybrid system for simultaneous pollutant degradation and green hydrogen production.

Nanoscale·2026
Same journal

Rational design of spherical NiCoB@rGO nanocomposites for efficient electrochemical energy storage.

Nanoscale·2026
Same journal

Ligand-controlled engineering of Cu-H active sites on Cu<sub>25</sub> hydride nanoclusters for efficient CO<sub>2</sub> electroreduction.

Nanoscale·2026
Same journal

Isostructural Co/Ni-containing banana-shaped polyoxometalates for visible-light-driven hydrogen production.

Nanoscale·2026
Same journal

Exploring gefitinib to enhance endocytosis of antibodies and nucleic acid aptamers targeting EGFR in glioblastoma.

Nanoscale·2026
See all related articles

Related Experiment Video

Updated: Nov 25, 2025

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

4.8K

Structural evolution of two-dimensional silicates using a "bond-switching" algorithm.

Alejandro M Boscoboinik1, Sergio J Manzi2, Víctor D Pereyra3

  • 1Department of Chemistry and Biochemistry and Laboratory for Surface Studies, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53211, USA.

Nanoscale
|December 15, 2020
PubMed
Summary
This summary is machine-generated.

Researchers developed a computationally inexpensive bond-switching algorithm to model the evolution of two-dimensional (2D) bilayer silicates. This method accurately predicts equilibrium ring size distributions, aiding the study of nanoscale structural transformations.

More Related Videos

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

10.7K
Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

12.1K

Related Experiment Videos

Last Updated: Nov 25, 2025

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package

Published on: September 17, 2021

4.8K
Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

10.7K
Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis
11:29

Novel 3D/VR Interactive Environment for MD Simulations, Visualization and Analysis

Published on: December 18, 2014

12.1K

Area of Science:

  • Materials Science
  • Nanotechnology
  • Computational Chemistry

Background:

  • Silicates are Earth's most abundant crustal materials.
  • Two-dimensional (2D) bilayer silicates on metal supports enable atomic-scale studies.
  • These 2D silicates exhibit both crystalline and vitreous structures, with observed nanoscale interconversions.

Purpose of the Study:

  • To develop a computationally inexpensive method for simulating bilayer silicate evolution.
  • To understand the nanoscale transformations between vitreous and crystalline states.
  • To provide a theoretical framework for analyzing experimental data on 2D silicates.

Main Methods:

  • A novel bond-switching algorithm was employed.
  • The algorithm simulates the evolution of bilayer silicate structures.
  • The computational approach is designed to be inexpensive and efficient for large systems and long timescales.

Main Results:

  • The bond-switching algorithm successfully represents the evolution of bilayer silicates.
  • Equilibrium ring size distributions were achieved.
  • The results correlate with experimental data from the literature.

Conclusions:

  • The developed bond-switching algorithm offers a computationally efficient approach to study 2D silicate transformations.
  • This method aids in understanding the relationship between temperature and bond-switching energy in structural evolution.
  • The findings provide a valuable tool for theoretical and experimental investigations of nanoscale silicate behavior.