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

Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta catalyst, high molecular...
Cationic Chain-Growth Polymerization: Mechanism00:57

Cationic Chain-Growth Polymerization: Mechanism

The cationic polymerization mechanism consists of three steps: initiation, propagation, and termination. In the initiation step of the polymerization process, the π bond of a monomer gets protonated by the Lewis acid catalyst, which is formed from boron trifluoride and water. The protonation of the π bond generates a carbocation stabilized by the electron‐donating group. In the propagation step, the π bond of the second monomer acts as a nucleophile and attacks the generated carbocation,...
Anionic Chain-Growth Polymerization: Mechanism01:04

Anionic Chain-Growth Polymerization: Mechanism

The mechanism for anionic chain-growth polymerization involves initiation, propagation, and termination steps. In the initiation step, a nucleophilic anion, such as butyl lithium, initiates the polymerization process by attacking the π bond of the vinylic monomer. As a result, a carbanion, stabilized by the electron‐withdrawing group, is generated. The resulting carbanion acts as a Michael donor in the propagation step and attacks the second vinylic monomer, which acts as a Michael acceptor.
Network Covalent Solids02:18

Network Covalent Solids

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...
Anionic Chain-Growth Polymerization: Overview01:20

Anionic Chain-Growth Polymerization: Overview

The polymerization process that involves carbanion as an intermediate is called anionic polymerization. It is also a type of addition or chain-growth polymerization. Anionic polymerization gets initiated by a strong nucleophile such as an organolithium or a Grignard reagent. The most commonly used initiator for anionic polymerization is butyl lithium. Monomers involved in anionic polymerization must possess a vinyl group bonded to one or two electron-withdrawing groups. For instance,...

You might also read

Related Articles

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

Sort by
Same author

Nanogel Integrated Zwitterionic Injectable Hydrogel with Sequential Drug-Releasing Capability for the Programmable Repair of Spinal Cord Injury.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2025
Same author

Comparison of the potency-ratio of ciprofol and propofol on sedative effects in painless hysteroscopy: a randomized double-blind dose-response study.

BMC anesthesiology·2025
Same author

Multifunctional Co-FeS<sub>2</sub> nanozyme-hydrogel composite promotes diabetic wound healing by synergistic antioxidant, antibacterial, and anti-inflammation therapy.

Journal of colloid and interface science·2025
Same author

Different responses of luminal and glandular epithelium during mouse embryo implantation.

Frontiers in veterinary science·2025
Same author

Long-Term Outcomes of Triple Cannulated Compression Screws Combined With Bone Graft Sleeve Parallel Implantation of DBM Crunch Internal Fixation for the Treatment of Femoral Neck Fractures in Middle-Aged and Young Adults.

Orthopaedic surgery·2025
Same author

Two-Dimensional Hybrid SnO<sub>2</sub>@WO<sub>3</sub> Nanosheets Synthesized by Polyoxometallate Cluster-Nucleus Coassembly for Highly Efficient H<sub>2</sub> Detection.

ACS sensors·2025

Related Experiment Video

Updated: Jun 2, 2026

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

Modeling three-dimensional network formation with an atomic lattice model: application to silicic acid

Lin Jin1, Scott M Auerbach, Peter A Monson

  • 1Department of Chemical Engineering, University of Massachusetts, Amherst, Massachusetts 01003, USA.

The Journal of Chemical Physics
|April 12, 2011
PubMed
Summary

We developed a simple atomic lattice model to simulate silica polymerization, accurately predicting material structures and properties. This model advances the study of silica materials synthesis and related compounds.

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

Interactive Molecular Model Assembly with 3D Printing
06:15

Interactive Molecular Model Assembly with 3D Printing

Published on: August 13, 2020

Related Experiment Videos

Last Updated: Jun 2, 2026

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

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

Interactive Molecular Model Assembly with 3D Printing
06:15

Interactive Molecular Model Assembly with 3D Printing

Published on: August 13, 2020

Area of Science:

  • Materials Science
  • Computational Chemistry
  • Solid-State Chemistry

Background:

  • Silica materials synthesis, particularly via sol-gel processes, relies on understanding silicic acid polymerization.
  • The versatility of silica polymorphs is linked to variations in the Si-O-Si angle.
  • Existing atomistic models face limitations in system size and degree of polymerization.

Purpose of the Study:

  • To present a novel, simplified atomic lattice model for simulating silicic acid polymerization.
  • To enable the study of silica material synthesis, including sol-gel and related processes.
  • To provide a versatile model capable of simulating chalcogenides and clays.

Main Methods:

  • An atomic lattice model using a body-centered-cubic lattice for Si and O atoms in SiO(4) tetrahedra.
  • Monte Carlo simulations were performed at varying concentrations (low and high density).
  • The model incorporates energy penalties for specific ring geometries to simulate related materials.

Main Results:

  • The model successfully simulates silica structure assembly from silicic acid solutions.
  • Simulations at high concentration show good agreement with experimental Nuclear Magnetic Resonance (NMR) data on Q(n) distribution.
  • Quantitative predictions of ring-size distributions align well with X-ray and neutron diffraction data.

Conclusions:

  • The atomic lattice model effectively captures the fundamental mechanisms of silica polymerization.
  • This simplified approach allows for simulations of larger systems and higher polymerization degrees.
  • The model offers a valuable tool for predicting structural properties of silica and related materials.