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Disclination: Example in two dimensions, Types & Overview

In crystallography, a disclination is a line defect in which there is compensation of an angular gap. They were first discussed by Vito Volterra in 1907, who provided an analysis of the elastic strains of a wedge disclination. By analogy to dislocations in crystals, the term, disinclination, was first used by Charles Frank and since then has been…

Language: English [EN]
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Disclination topic overview

The analysis highlights Example in two dimensions, Types and Overview as prominent areas in the source structure around Disclination.

Related topics
28
Source areas
3
Connected nodes
31
Extracted relationships
15
Concept neighborhoods
17
Bridge connections
31

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 13 topics
Example in two dimensions · 11 topics
Types · 4 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Types

Example in two dimensions

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Disclination connects Entity context

The extracted context around Disclination shows recurring relationship patterns in the source. For example, Disclination → Disclinations, Equally, If, Ignoring, In, Kosterlitz, KTHNY, Local, They, Thouless Another extracted example is Disclination → Burgers, Disclinations, Frank, When. Use these groups to spot repeated connection types before inspecting the individual relationships.

Disclination

Top relations

related to Example in two dimensions · 10
Disclination → Disclinations, Equally, If, Ignoring, In, Kosterlitz, KTHNY, Local, They, Thouless
related to Types · 4
Disclination → Burgers, Disclinations, Frank, When
is a · 1
Disclination → line defect in which there is compensation of an angular gap

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

disclinations dislocations two crystal crystals dimensions hexagonal 19 line 2d doi wedge vector defects melting 10 physical frank first bibcode

Disclination relationships Subject–Predicate–Object triples

TTTA extracted 15 structured relationships around Disclination. Examples in this analysis include Disclination → is a → line defect in which there is compensation of an angular gap and Disclination → related to Example in two dimensions → In. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Disclinationis aline defect in which there is compensation of an angular gap0.90text
Disclinationrelated to Example in two dimensionsIn0.60section
Disclinationrelated to Example in two dimensionsThey0.60section
Disclinationrelated to Example in two dimensionsKTHNY0.60section
Disclinationrelated to Example in two dimensionsKosterlitz0.60section
Disclinationrelated to Example in two dimensionsThouless0.60section
Disclinationrelated to Example in two dimensionsEqually0.60section
Disclinationrelated to Example in two dimensionsLocal0.60section
Disclinationrelated to Example in two dimensionsDisclinations0.60section
Disclinationrelated to Example in two dimensionsIgnoring0.60section
Disclinationrelated to Example in two dimensionsIf0.60section
Disclinationrelated to TypesDisclinations0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Disclination bring nearby vocabulary together. In this analysis, examples include Dislocations, Wedge and Line. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Disclination
    • Dislocations
    • Wedge
    • Line
    • Called
    • Frank
    • Similarly
    • Vector
    • Disclinations
    • Angular
    • First
    • 5-folded
    • 7-folded
  • disclination
    • Dislocations
    • Wedge
    • Line
    • Called
    • Frank
    • Similarly
    • Vector
    • Disclinations
    • Angular
    • First
    • 5-folded
    • 7-folded
  • dislocations
    • Disclinations
    • Line
    • Called
    • Frank
    • Similarly
    • Vector
    • Dimensions
    • Two
    • Decahedral
    • Dislocation
    • Example
    • First
  • edge dislocations
    • Disclinations
    • Line
    • Called
    • Frank
    • Similarly
    • Vector
    • Dimensions
    • Two
    • Decahedral
    • Dislocation
    • Example
    • First
  • screw dislocations
    • Disclinations
    • Line
    • Called
    • Frank
    • Similarly
    • Vector
    • Dimensions
    • Two
    • Decahedral
    • Dislocation
    • Example
    • First
  • example in two dimensions
    • Two
    • Melting
    • Motion
    • Particles
    • Called
    • Frank
    • Similarly
    • Vector
    • Dislocations
    • Line
    • Dimensions
    • Example
  • liquid crystals
    • Melting
    • Two
    • Decahedral
    • Different
    • First
    • Many
    • Nanoparticles
    • Frank
    • Topological
    • 2d
    • Defects
    • Dimensions
  • 2d
    • Defects
    • Crystal
    • Disclinations
    • Many
    • 5-folded
    • 7-folded
    • Topological
    • Melting
    • Crystals
    • Line
    • Two
    • Dislocations

Connections between topic areas Semantic bridges

For Disclination, one of the stronger structural bridges in this analysis connects Disclination with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Disclination — Overview · splits 18 ⟂ 14
Disclination — Example in two dimensions · splits 20 ⟂ 12
Disclination — Types · splits 27 ⟂ 5

Map overview Semantic statistics

Disclination

Nodes32
Edges31
Triples15
Avg. degree1.94
Density0.0625
Components1

Source & methodology

TTTA analyzes the structure around Disclination to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Example in two dimensions, Types & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Disclination · EN edition · Analysis: TopicsToTalkAbout

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