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

44.6K
VSEPR Theory for Determination of Electron Pair Geometries
44.6K
Network Covalent Solids02:18

Network Covalent Solids

16.0K
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...
16.0K
Carbon-13 (¹³C) NMR: Overview01:10

Carbon-13 (¹³C) NMR: Overview

7.6K
Carbon-13 is a naturally occurring NMR-active isotope of carbon with a low natural abundance of 1.1%. In contrast, carbon-12 is the most abundant isotope of carbon with zero nuclear spin. Therefore, it is NMR inactive. The gyromagnetic ratio of carbon-13 is smaller than that of protons. As a result, carbon-13 resonance is about 6000 times weaker than proton resonance. For a given magnetic field strength, the resonance frequency of carbon-13 is about one-fourth of the resonance frequency for...
7.6K
Neural Circuits01:25

Neural Circuits

2.6K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
2.6K
Generation of Straight or Branched Actin Filaments01:14

Generation of Straight or Branched Actin Filaments

3.7K
The straight or branched structure formation of actin filaments is controlled by nucleating proteins such as the formins and Arp2/3 complex. Formin-mediated assembly results in straight filaments, whereas Arp2/3 protein complex-mediated assembly results in branched actin filaments.
Arp2/3 Complex
Arp2/3 complex is a seven-subunit complex consisting of two proteins similar to actin- Arp2 and Arp3, and five other subunits that help keep Arp2 and Arp3 inactive. When required, the complex is...
3.7K

You might also read

Related Articles

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

Sort by
Same author

Monolithic ion-electron coupling interfaces enable low-impedance moisture-electric generators.

Materials horizons·2026
Same author

Bayesian calibration of rheological parameters for predicting displacement evolution of a dump slope in open pit mining.

Scientific reports·2026
Same author

Development and preliminary validation of a WeChat-based auditory-speech rehabilitation system for Mandarin-speaking cochlear implant users.

Digital health·2026
Same author

Reversible Interlayer Coupling/Decoupling in Bilayer Graphene Regulated by Electrochemical Hydrogenation.

Precision chemistry·2026
Same author

Effectiveness and Safety of a Novel Catheter-Over-Needle Assembly for Postoperative Analgesia in Orthopedic Limb Surgery: A Multicenter, Randomized, Single-Blind, Active-Controlled Noninferiority Trial.

Pain research & management·2026
Same author

LCN2/SLC22A17 mediates the phagocytosis of GABAergic synapses by oligodendrocyte progenitor cells and contributes to cancer-induced pain and comorbid anxiety-like behaviors in mice.

Acta neuropathologica communications·2026

Related Experiment Video

Updated: Jan 12, 2026

Precision Milling of Carbon Nanotube Forests Using Low Pressure Scanning Electron Microscopy
08:10

Precision Milling of Carbon Nanotube Forests Using Low Pressure Scanning Electron Microscopy

Published on: February 5, 2017

7.8K

Nanotube Derived Ordered Carbons Predicted by Neural Network Potential.

Shuqi Xie1, Kun Ni1, Yanwu Zhu1

  • 1Department of Materials Science and Engineering, School of Chemistry and Materials Science, & Hefei National Research Center for Physical Sciences at the Microscale, & State Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, Anhui 230026, China.

Precision Chemistry
|October 31, 2025
PubMed
Summary

Researchers explored new carbon structures derived from carbon nanotubes (CNTs) under pressure. This study utilized neural network potentials to discover novel, stable carbon allotropes with diverse mechanical and electronic properties.

Keywords:
CNTs evolutionDFTneural network potentialnovel carbon structuressurface walking algorithm

More Related Videos

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

12.3K
Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering
09:12

Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering

Published on: June 1, 2016

9.5K

Related Experiment Videos

Last Updated: Jan 12, 2026

Precision Milling of Carbon Nanotube Forests Using Low Pressure Scanning Electron Microscopy
08:10

Precision Milling of Carbon Nanotube Forests Using Low Pressure Scanning Electron Microscopy

Published on: February 5, 2017

7.8K
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

12.3K
Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering
09:12

Functionalization of Single-walled Carbon Nanotubes with Thermo-reversible Block Copolymers and Characterization by Small-angle Neutron Scattering

Published on: June 1, 2016

9.5K

Area of Science:

  • Materials Science
  • Computational Chemistry
  • Condensed Matter Physics

Background:

  • Discovering novel carbon allotropes with superior mechanical and electronic properties is crucial.
  • Traditional methods like density functional theory (DFT) and Monte Carlo (MC) are computationally intensive for large structural searches.
  • Carbon nanotubes (CNTs) are promising precursors for new carbon materials.

Purpose of the Study:

  • To develop an efficient method for the global structural search of ordered carbons from CNTs under pressure.
  • To identify novel carbon allotropes with unique mechanical and electronic characteristics.
  • To understand the pressure-induced structural evolution of CNTs.

Main Methods:

  • Utilized neural network potentials to accelerate stochastic surface walking algorithm for global structural search.
  • Applied pressure to carbon nanotubes (CNTs) to induce structural transformations.
  • Employed *ab initio* molecular dynamics simulations and phonon spectra to verify stability.
  • Analyzed mechanical properties (hardness, ductility) and electronic properties (band gaps).

Main Results:

  • A variety of previously unreported ordered carbon structures were obtained.
  • Smaller CNTs (< 0.7 nm diameter) showed higher sensitivity to pressure.
  • Most synthesized carbon allotropes exhibited excellent thermodynamic and kinetic stability.
  • Discovered 13 superhard (Hv > 40 GPa) and 1 ductile (Pugh's Ratio G/B < 0.57) structures.
  • Observed a linear correlation between the modulus and density of the ordered carbons.
  • Identified direct or indirect band gaps ranging from 0 to 4.4 eV.

Conclusions:

  • Neural network potentials combined with stochastic surface walking offer an efficient pathway for discovering new carbon materials from CNTs.
  • The study provides a deeper understanding of CNT structural evolution under pressure.
  • The newly discovered carbon allotropes possess significant potential for applications requiring advanced mechanical and electronic properties.