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Black hole thermodynamics applies to Entropy. Activate to inspect this relation.Channel capacity depends on Bandwidth. Activate to inspect this relation.Channel capacity depends on Signal-to-noise ratio. Activate to inspect this relation.Channel capacity depends on Shannon entropy. Activate to inspect this relation.Chemical thermodynamics depends on Entropy. Activate to inspect this relation.Entropy constrains Efficiency. Activate to inspect this relation.Entropy measures Microstate. Activate to inspect this relation.Entropy is part of Free energy. Activate to inspect this relation.Entropy is analogous to Shannon entropy. Activate to inspect this relation.Entropy applies to Information theory. Activate to inspect this relation.Entropy depends on Probability. Activate to inspect this relation.Error-correcting code depends on Channel capacity. Activate to inspect this relation.Gibbs free energy depends on Entropy. Activate to inspect this relation.Information theory depends on Shannon entropy. Activate to inspect this relation.Kolmogorov complexity is part of Information theory. Activate to inspect this relation.Mutual information is derived from Shannon entropy. Activate to inspect this relation.Nyquist–Shannon sampling theorem constrains Sampling rate. Activate to inspect this relation.Nyquist–Shannon sampling theorem explains Aliasing. Activate to inspect this relation.Nyquist–Shannon sampling theorem is part of Information theory. Activate to inspect this relation.Second law of thermodynamics explains Entropy. Activate to inspect this relation.Shannon entropy applies to Probability. Activate to inspect this relation.Signal enables Information. Activate to inspect this relation.Signal applies to Information theory. Activate to inspect this relation.Signal-to-noise ratio measures Signal. Activate to inspect this relation.EntropyEfficiencySecond law of thermodynamicsGibbs free energyProbabilityShannon entropyInformation theoryChemical thermodynamicsMicrostateFree energyBlack hole thermodynamicsChannel capacityMutual informationNyquist–Shannon sampling theoremSignalKolmogorov complexityBandwidthSignal-to-noise ratioError-correcting codeSampling rateAliasingInformation
Relationship types

17 concepts viewed through this lens. Bridge concepts connect this view to Acoustics, Algorithms, Audio Engineering, Audiology….

Legend
  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
22 concepts24 relationships23 disciplines6 relation families

At a glance

A measure of disorder; in any real transfer some energy always spreads out as unusable heat.

Disciplines
Thermodynamics · Physics · Information Theory · Statistical Physics · Physical Chemistry
Role in the graph
Cross-disciplinary bridge reaches Chemical Engineering, Chemistry, Economics, Engineering, Environmental Engineering, Mathematics, Probability, Statistics, Sustainability Science
Relationships
10 · 6 relation families
Mental models
2

What am I looking at?

In this lens (17)

Bridge concepts (32)

Just outside the lens — they connect it to other context.

  • Mathematics, Probability, Statistics · connects to Entropy, Shannon entropy
  • Algorithms, Computer Science, Discrete Mathematics, Logic, Mathematics, Software Engineering, Theory of Computation · connects to Data compression
  • Signal Processing · connects to Nyquist–Shannon sampling theorem
  • Telecommunications Engineering · connects to Signal-to-noise ratio
  • Acoustics, Audiology, Psychoacoustics · connects to Audio data compression

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 23 disciplines: Audio Engineering, Biology, Chemical Engineering, Chemistry, Communication Science, Computer Science, Economics, Electrical Engineering, Engineering, Environmental Engineering, Human-Computer Interaction, Information Theory, Mathematics, Neuroscience, Physical Chemistry, Physics, Probability, Signal Processing, Statistical Physics, Statistics, Sustainability Science, Telecommunications Engineering, Thermodynamics.
  • Entropy is a bridge concept — viewed here through Information Theory, Physical Chemistry, Physics, Statistical Physics, Thermodynamics.
  • The connections here span 6 relation families.
  • Energy transformation explains 4 concepts in this view (Chemical Engineering, Chemistry, Economics, Engineering, Environmental Engineering, Information Theory, Physical Chemistry, Physics, Statistical Physics, Sustainability Science, Thermodynamics).

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

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Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.