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Spaser: Overview, Related Topics & Entities

A spaser or plasmonic laser is a type of laser which aims to confine light at a subwavelength scale far below Rayleigh's diffraction limit of light by storing some of the light energy in electron oscillations called surface plasmon polaritons. The phenomenon was first described by David J. Bergman and Mark Stockman in 2003. The word spaser is an acronym…

Language: English [EN]
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Spaser topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Spaser.

Related topics
21
Source areas
1
Connected nodes
22
Extracted relationships
14
Concept neighborhoods
18
Bridge connections
22

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 · 21 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

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 Spaser connects Entity context

The extracted context around Spaser shows recurring relationship patterns in the source. For example, Spaser → Bibcode, Dmitry, Ekaterina, Galanzha, ISSN, Nature Communications, Nedosekin, PMC, PMID, Robert, Weingold Another extracted example is Spaser → acronym for, nanoplasmonic counterpart of a laser, proposed nanoscale source of optical fields that is being investigated in a number of leading laboratories around the world. Use these groups to spot repeated connection types before inspecting the individual relationships.

Spaser

Top relations

related to Further reading · 11
Spaser → Bibcode, Dmitry, Ekaterina, Galanzha, ISSN, Nature Communications, Nedosekin, PMC, PMID, Robert, Weingold
is a · 3
Spaser → acronym for, nanoplasmonic counterpart of a laser, proposed nanoscale source of optical fields that is being investigated in a number of leading laboratories around the world

Important terminology

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

Important terminology

surface laser plasmons photons plasmonic first gain medium mode optical nature nanoscale energy oscillations plasmon stimulated emission nanoparticle state berkeley

Spaser relationships Subject–Predicate–Object triples

TTTA extracted 14 structured relationships around Spaser. Examples in this analysis include Spaser → is a → acronym for and Spaser → is a → proposed nanoscale source of optical fields that is being investigated in a number of leading laboratories around the world. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Spaseris aacronym for0.90text
Spaseris aproposed nanoscale source of optical fields that is being investigated in a number of leading laboratories around the world0.90text
Spaseris ananoplasmonic counterpart of a laser0.90text
Spaserrelated to Further readingGalanzha0.60section
Spaserrelated to Further readingEkaterina0.60section
Spaserrelated to Further readingWeingold0.60section
Spaserrelated to Further readingRobert0.60section
Spaserrelated to Further readingNedosekin0.60section
Spaserrelated to Further readingDmitry0.60section
Spaserrelated to Further readingNature Communications0.60section
Spaserrelated to Further readingBibcode0.60section
Spaserrelated to Further readingISSN0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Spaser bring nearby vocabulary together. In this analysis, examples include Surface, Photons and Plasmons. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Spaser
    • Surface
    • Photons
    • Plasmons
    • Analogous
    • Emission
    • Physical
    • Plasmon
    • Stimulated
    • Optical
    • Rayleigh's
    • Subwavelength
    • Ultraviolet
  • spaser
    • Surface
    • Photons
    • Plasmons
    • Analogous
    • Emission
    • Physical
    • Plasmon
    • Stimulated
    • Optical
    • Rayleigh's
    • Subwavelength
    • Ultraviolet
  • laser
    • Spaser
    • Photons
    • Surface
    • Energy
    • Physical
    • Plasmons
    • Plasmonic
    • Rayleigh's
    • Subwavelength
    • Analogous
    • Emission
    • Mechanism
  • surface plasmon polaritons
    • Plasmons
    • Rayleigh's
    • Subwavelength
    • Spaser
    • Laser
    • Emission
    • Photons
    • Stimulated
    • Excitations
    • Oscillations
    • Physical
    • Plasmon
  • surface plasmon
    • Plasmons
    • Rayleigh's
    • Subwavelength
    • Spaser
    • Laser
    • Emission
    • Photons
    • Stimulated
    • Excitations
    • Oscillations
    • Physical
    • Plasmon
  • photons
    • Plasmons
    • Surface
    • Spaser
    • Bosons
    • Spin
    • Analogous
    • Excitations
    • Physical
    • Plasmonic
  • stimulated emission
    • Stimulated
    • Physical
    • Plasmon
    • Mode
    • Surface
    • Spaser
    • Laser
    • Plasmons
  • optical fields
    • Ultraviolet
    • Mechanism
    • Nanoscale
    • Source
    • Team
    • University
    • Spaser
    • Plasmons

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Spaser map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Spaser

Nodes23
Edges22
Triples14
Avg. degree1.91
Density0.086957
Components1

Source & methodology

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

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

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