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

Imperfections in Crystal Structure: Point, Line and Plane Defects01:25

Imperfections in Crystal Structure: Point, Line and Plane Defects

120
A perfect crystal, in theory, has a uniform structure with the same unit cell and lattice points throughout. However, any deviation from this periodic arrangement is known as an imperfection or defect. These defects can be categorized into three types: point, line, and plane defects.Point defects occur when there is a deviation from the ideal due to missing atoms, displaced atoms, or additional atoms. These imperfections might occur due to imperfect packing during crystallization or because of...
120
Imperfections in Crystal Structure: Stoichiometric Point Defects01:26

Imperfections in Crystal Structure: Stoichiometric Point Defects

99
Schottky defects arise when some lattice points in a crystal, such as those in NaCl, remain unoccupied, creating lattice vacancies without disturbing the overall electrical neutrality of the crystal. This defect is common in ionic crystals where the positive and negative ions are similar in size, as seen in sodium chloride and cesium chloride. The presence of Schottky defects enables the crystal to conduct electricity to a small extent through an ionic mechanism. Electric fields cause nearby...
99
Imperfections in Crystal Structure: Non-Stoichiometric Defects01:29

Imperfections in Crystal Structure: Non-Stoichiometric Defects

98
Non-stoichiometric defects refer to a type of defect in the crystal structure of a compound where the ratio of its constituent elements deviates from the ideal stoichiometric ratio. There are two main types of non-stoichiometric defects: metal excess defects and metal deficiency defects.Metal excess defects occur when there is a slight surplus of metal ions than what is required by the stoichiometric ratio of the compound. For example, heating a sodium chloride crystal in sodium vapor results...
98
Structures of Solids02:22

Structures of Solids

22.3K
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...
22.3K
Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

21.8K
Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
21.8K
Laminar Flow: Problem Solving01:24

Laminar Flow: Problem Solving

621
Laminar flow occurs when a fluid moves smoothly in parallel layers with minimal mixing and turbulence. In fluid mechanics, ensuring laminar flow within a pipe is essential for precise control of flow characteristics, especially in engineering applications. The key factor in determining whether flow remains laminar is the Reynolds number, a dimensionless quantity that depends on the fluid's velocity, density, viscosity, and the pipe's diameter. A Reynolds number of 2100 or lower...
621

You might also read

Related Articles

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

Sort by
Same author

National Database Study of the effect of mode of transportation on trauma patients injured in snowmobile accidents.

The American journal of emergency medicine·2026
Same author

[Advances in gynecological pathology in China over the past ten years: retrospect and prospect].

Zhonghua bing li xue za zhi = Chinese journal of pathology·2025
Same author

[Pediatric cardiac allograft transplantation: a clinicopathological study of twelve recipient hearts].

Zhonghua bing li xue za zhi = Chinese journal of pathology·2025
Same author

[Clinicopathological and molecular genetic features of POLE-mutated endometrioid carcinoma].

Zhonghua bing li xue za zhi = Chinese journal of pathology·2024
Same author

Resolving and functional analysis of RNA editing sites in sheep ovaries and associations with litter size.

Animal : an international journal of animal bioscience·2024
Same author

[Metastatic goblet cell adenocarcinoma of the appendix with ovarian tumor as the initial symptom: report of a case].

Zhonghua bing li xue za zhi = Chinese journal of pathology·2024
Same journal

Erratum: Spectroscopy and Ground-State Transfer of Ultracold Bosonic ^{39}K^{133}Cs Molecules [Phys. Rev. Lett. 135, 203401 (2025)].

Physical review letters·2026
Same journal

Erratum: Lifetime of the ^{2}F_{7/2} Level in Yb^{+} for Spontaneous Emission of Electric Octupole Radiation [Phys. Rev. Lett. 127, 213001 (2021)].

Physical review letters·2026
Same journal

Laser-Plasma Based Seeded Free Electron Laser in the High-Gain Regime.

Physical review letters·2026
Same journal

Parent Hamiltonians for Stabilizer Quantum Many-Body Scars.

Physical review letters·2026
Same journal

Properties of Heavy Cosmic Nuclei Phosphorus, Chlorine, Argon, Potassium, and Calcium: Results from the Alpha Magnetic Spectrometer.

Physical review letters·2026
Same journal

Role of Spin-Isospin Symmetries in Nuclear β-Decays.

Physical review letters·2026
See all related articles

Related Experiment Video

Updated: Apr 15, 2026

Measuring Material Microstructure Under Flow Using 1-2 Plane Flow-Small Angle Neutron Scattering
09:08

Measuring Material Microstructure Under Flow Using 1-2 Plane Flow-Small Angle Neutron Scattering

Published on: February 6, 2014

14.9K

Identifying structural flow defects in disordered solids using machine-learning methods.

E D Cubuk1, S S Schoenholz2, J M Rieser2

  • 1Department of Physics and School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts 02138, USA.

Physical Review Letters
|March 28, 2015
PubMed
Summary
This summary is machine-generated.

Machine learning identifies flow defects, or particles prone to rearrangement, in jammed and glassy systems. This method reveals structural features linked to heterogeneous dynamics in disordered materials.

More Related Videos

Determining the Mechanical Strength of Ultra-Fine-Grained Metals
05:04

Determining the Mechanical Strength of Ultra-Fine-Grained Metals

Published on: November 22, 2021

2.7K
Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
09:00

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

13.9K

Related Experiment Videos

Last Updated: Apr 15, 2026

Measuring Material Microstructure Under Flow Using 1-2 Plane Flow-Small Angle Neutron Scattering
09:08

Measuring Material Microstructure Under Flow Using 1-2 Plane Flow-Small Angle Neutron Scattering

Published on: February 6, 2014

14.9K
Determining the Mechanical Strength of Ultra-Fine-Grained Metals
05:04

Determining the Mechanical Strength of Ultra-Fine-Grained Metals

Published on: November 22, 2021

2.7K
Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography
09:00

Visualization of Failure and the Associated Grain-Scale Mechanical Behavior of Granular Soils under Shear using Synchrotron X-Ray Micro-Tomography

Published on: September 29, 2019

13.9K

Area of Science:

  • Physics
  • Materials Science
  • Computational Science

Background:

  • Jammed and glassy systems exhibit complex behaviors due to particle rearrangements.
  • Understanding these rearrangements is crucial for predicting material properties.
  • Heterogeneous dynamics are a hallmark of disordered materials.

Purpose of the Study:

  • To develop a machine-learning method for identifying flow defects in jammed and glassy systems.
  • To apply this method to diverse physical systems.
  • To characterize the structural features of flow defects.

Main Methods:

  • Utilized machine-learning algorithms focused on local structural properties.
  • Applied the method to a 2D granular pillar under compression.
  • Analyzed Lennard-Jones glasses in 2D and 3D, across the glass transition temperature.

Main Results:

  • Successfully identified flow defects in both granular and Lennard-Jones glass systems.
  • Distinguished characteristics of flow defects from the bulk material.
  • Demonstrated the method's applicability to different dimensions and states.

Conclusions:

  • Machine learning effectively identifies critical structural features related to flow defects.
  • These findings provide insight into the origins of heterogeneous dynamics in disordered matter.
  • The approach is broadly applicable to various disordered materials.