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

Network Covalent Solids02:18

Network Covalent Solids

14.7K
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...
14.7K
Atomic Force Microscopy01:08

Atomic Force Microscopy

3.6K
Atomic force microscopy (AFM) is a type of scanning probe microscopy that can analyze topographic details of various specimens like ceramics, glass, polymers, and biological samples. AFM offers over 1000 times more resolution than the optical imaging system. Images generated from AFM are three-dimensional surface profiles, offering an advantage over the flat, two-dimensional images from other imaging techniques.
The AFM Probe
The probe is regarded as the heart of any AFM setup and comprises the...
3.6K
X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

4.1K
X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...
4.1K

You might also read

Related Articles

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

Sort by
Same author

Thiourea-derived coating enabled lithium-rich manganese oxide positive electrode in solid-state batteries.

Nature communications·2026
Same author

Origin of crack propagation in lithium cobalt oxide positive electrode for lithium-ion batteries.

Nature communications·2026
Same author

Topological Data Analysis in Materials Science: Principles, Machine Learning Integration, and Application Landscapes.

Chemical reviews·2026
Same author

Roles of Slab-Gliding-Induced Surface Nano-Steps in High-Voltage Instability of LiCoO<sub>2</sub>.

Journal of the American Chemical Society·2026
Same author

Aqueous Magnesium-Ion Battery Anode with 75,000 Cycles Lifespan.

Journal of the American Chemical Society·2026
Same author

Deciphering Metastable Structure Evolution in Voltage Hysteresis of Lithium-Rich Cathodes.

ACS nano·2026

Related Experiment Video

Updated: Sep 20, 2025

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
13:56

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

Published on: October 12, 2019

7.7K

Graph-based discovery and analysis of atomic-scale one-dimensional materials.

Shunning Li1, Zhefeng Chen1, Zhi Wang1

  • 1School of Advanced Materials, Peking University, Shenzhen Graduate School, Shenzhen 518055, China.

National Science Review
|June 9, 2022
PubMed
Summary

This study introduces a graph theory method to classify and identify one-dimensional (1D) atomic chains from bulk crystals. The approach reveals insights into 1D material properties and design.

Keywords:
1D atomic chainsdensity functional theorygraph theorylow-dimensional materialstopological classification

More Related Videos

Quantitative Atomic-Site Analysis of Functional Dopants/Point Defects in Crystalline Materials by Electron-Channeling-Enhanced Microanalysis
07:24

Quantitative Atomic-Site Analysis of Functional Dopants/Point Defects in Crystalline Materials by Electron-Channeling-Enhanced Microanalysis

Published on: May 10, 2021

6.4K
Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials
10:18

Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials

Published on: January 5, 2019

11.9K

Related Experiment Videos

Last Updated: Sep 20, 2025

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations
13:56

Probe Type II Band Alignment in One-Dimensional Van Der Waals Heterostructures Using First-Principles Calculations

Published on: October 12, 2019

7.7K
Quantitative Atomic-Site Analysis of Functional Dopants/Point Defects in Crystalline Materials by Electron-Channeling-Enhanced Microanalysis
07:24

Quantitative Atomic-Site Analysis of Functional Dopants/Point Defects in Crystalline Materials by Electron-Channeling-Enhanced Microanalysis

Published on: May 10, 2021

6.4K
Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials
10:18

Exfoliation and Analysis of Large-area, Air-Sensitive Two-Dimensional Materials

Published on: January 5, 2019

11.9K

Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Computational Chemistry

Background:

  • Low-dimensional materials (LDMs) discovery is rapidly advancing, driven by sophisticated computational and characterization tools.
  • The success of 2D materials has spurred interest in one-dimensional (1D) atomic chains.
  • Understanding the structure-property relationships in 1D materials is crucial for their application.

Purpose of the Study:

  • To develop a topological classification methodology for structural units in crystals.
  • To identify exfoliable 1D atomic chains and group them into chemical families.
  • To explore the interplay between 1D structural motifs, chemical space, and material properties.

Main Methods:

  • Application of graph theory for topological classification of crystal structures.
  • Analysis of structure graphs to understand bonding and electronic properties.
  • Identification of exfoliable 1D atomic chains within bulk crystal structures.

Main Results:

  • A novel graph-theory-based method for classifying 1D atomic chains is presented.
  • The study identifies exfoliable 1D atomic chains and categorizes them by chemical families.
  • A self-passivation mechanism in 1D compounds involving lone electron pairs is elucidated.
  • The electronic band gap dependence on the cationic percolation network is revealed.

Conclusions:

  • The developed graph-theory formalism provides a systematic approach for identifying and designing 1D atomic chains.
  • This methodology offers new insights into the structure-property relationships of 1D materials.
  • The findings can guide the future discovery and engineering of novel low-dimensional materials.