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Tokamak je zařízení, vytvářející toroidální magnetické pole, používané jako magnetická nádoba pro uchovávání vysokoteplotního plazmatu. Slovo pochází z ruštiny, kde Токамак je zkratkou popisu тороидальная камера с магнитными катушками (toroidní komora s magnetickými cívkami). Myšlenka tokamaku se zrodila v 50. letech Igorem Jevgeněvičem Tammem a Andrejem…
The analysis highlights Termojaderná fúze, Princip tokamaku and Ohřev plazmatu as prominent areas in the source structure around Tokamak.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around Tokamak shows recurring relationship patterns in the source. For example, Tokamak → AV, COMPASS, Culham, Dále, Díky, EUROATOM, Fakulta, Fyzika, H-modem, H-modu, ITER, ITERu, Jak, L-modem, Lze, Matematicko-fyzikální, Prvním, Tokamak COMPASS, UK Another extracted example is Tokamak → Demonstrátorem, International Thermonuclear Experimental Reactor, ITER, Jedná, JET, Joint European Torus, Jsou, MW, Např, Nicméně, Překážkou, TFTR, Tokamak Fusion Test Reactor, Tyto. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
plazmatu tokamaku fúze jako roce pole roku zařízení bude magnetické energie termojaderné iter čvut compass golem první plazma čr jaderné
TTTA extracted 52 structured relationships around Tokamak. Examples in this analysis include Tokamak → related to Ohřev neutrálními svazky → Plazma and Tokamak → related to Ohřev neutrálními svazky → Vzhledem. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Tokamak | related to Ohřev neutrálními svazky | Plazma | 0.60 | section |
| Tokamak | related to Ohřev neutrálními svazky | Vzhledem | 0.60 | section |
| Tokamak | related to Ohřev neutrálními svazky | MeV | 0.60 | section |
| Tokamak | related to Ohřev neutrálními svazky | Neutrální | 0.60 | section |
| Tokamak | related to Princip tokamaku | Jeho | 0.60 | section |
| Tokamak | related to Princip tokamaku | Tyto | 0.60 | section |
| Tokamak | related to Princip tokamaku | Prstencová | 0.60 | section |
| Tokamak | related to Princip tokamaku | Siločáry | 0.60 | section |
| Tokamak | related to Princip tokamaku | Připomeňme | 0.60 | section |
| Tokamak | related to Princip tokamaku | Různé | 0.60 | section |
| Tokamak | related to Současný stav fúzního výzkumu | JET | 0.60 | section |
| Tokamak | related to Současný stav fúzního výzkumu | Joint European Torus | 0.60 | section |
The concept neighborhoods around Tokamak bring nearby vocabulary together. In this analysis, examples include Iter, Compass and Zařízení. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Tokamak, one of the stronger structural bridges in this analysis connects Tokamak 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.
TTTA analyzes the structure around Tokamak to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Termojaderná fúze, Princip tokamaku & Ohřev plazmatu, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Tokamak · CS edition · Analysis: TopicsToTalkAbout