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Physics

63 primes originate from Physics. 41 more draw from it as a secondary origin.

Primary members (63)

Primes whose canonical origin is Physics.

Also draws from Physics (41)

Primes whose canonical origin is elsewhere, but who list Physics among their alternate origin domains.

  • Allometry and Scaling Law — Properties scale nonlinearly with size according to characteristic exponents.
  • Approximation — Good-enough representation.
  • Balance — Even distribution of elements.
  • Calibration — Aligning a system's output to a trusted reference by measuring deviation, adjusting to reduce it, and monitoring for drift.
  • Causality — Cause-effect relationships.
  • Chaos — Unpredictable dynamics.
  • Coaxiality — Two or more spatial entities are coaxial when their constitutive axes coincide, allowing placement, rotation, and radial offset to be reasoned about relative to one common line.
  • Correlation — Systematic co-variation between variables, distinct from causation.
  • Coupling — Interdependence among subsystems.
  • Crystallization — A parent phase is driven into conditions where an ordered solid can form, stable crystalline nuclei appear or are supplied, and interfacial growth converts mobile building units into a crystal population whose number, size, form, and purity record the competition among thermodynamics, transport, and kinetics.
  • Dimension — Degrees of freedom in a system.
  • Discreteness — Countable steps.
  • Duality — Complementary perspectives.
  • Environmental Coupling Strength — Rate of energy, information, or material exchange across boundary.
  • Equivariance — A map whose output transforms in step with transformations of its input.
  • Gradient — Distribution and change over space/time.
  • Gradual Deterioration — The incremental, often invisible decay of a system as sub-threshold stressors accumulate damage until capacity collapses, posing greater risk precisely because the slow progression is easy to overlook.
  • Invariance — Properties unchanged under transformation.
  • Linearity — Proportional output.
  • Markov Process — Future state depends only on the present, not the full history.
  • Modal Reasoning — Reasoning about necessity, possibility, and contingency.
  • Monte Carlo Simulation — Random sampling approximation.
  • Nonlinearity — Disproportionate output.
  • Periodicity — Regular cycles.
  • Permutation — Reassign every member or position of a collection exactly once, preserving membership while changing arrangement; the resulting bijective self-maps compose, invert, and decompose into cycles.
  • Progressive Refinement from Core Model — Incremental refinement.
  • Randomness — Model unpredictability.
  • Reciprocal Additivity (Optic Equation) — Relate nonzero inputs to one effective result by requiring the reciprocal of the result to equal the sum of the input reciprocals, so parallel contribution becomes ordinary addition after reciprocal transformation.
  • Recurrence — The property by which a state, event, or value reappears across time or iterations because the present state depends on prior states, distinct from mere repetition by its measurable lag structure.
  • Reductionism — Explaining a whole entirely in terms of its constituent parts.
  • Scale — Properties change with size.
  • Scaling and Scale Dependence — Patterns and constraints change qualitatively across different scales.
  • Sedimentation
  • Self-Organization — Order without central control.
  • Simulated Annealing — Probabilistic search escaping local optima.
  • Stationarity — Stable statistical properties.
  • Stress and Rupture — Accumulated tension leads to break.
  • Symmetry — Invariance under transformation.
  • Thought Experiment — Test a claim or expose a concept by stipulating an imagined case, propagating its constraints, and treating the resulting fit, conflict, or consequence as evidence for revision.
  • Threshold — Safe vs harmful levels.
  • Uncertainty — Incomplete knowledge.