dynamics of nonequilibrium systems
E430451
Dynamics of nonequilibrium systems is the field of physics that studies how physical systems evolve and organize over time when they are driven away from thermal or mechanical equilibrium.
All labels observed (1)
| Label | Occurrences |
|---|---|
| dynamics of nonequilibrium systems canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4316872 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: dynamics of nonequilibrium systems Context triple: [James S. Langer, knownFor, dynamics of nonequilibrium systems]
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A.
statistical physics
Statistical physics is a branch of physics that uses probabilistic and mathematical methods to explain the collective behavior and macroscopic properties of systems with many particles.
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B.
fluctuation–dissipation theorem
The fluctuation–dissipation theorem is a fundamental principle in statistical physics that links the random microscopic fluctuations in a system at thermal equilibrium to its macroscopic response to external perturbations.
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C.
The Principles of Statistical Mechanics
The Principles of Statistical Mechanics is a classic 1938 textbook by Richard C. Tolman that systematically develops the foundations of statistical mechanics and its applications to thermodynamics and physical chemistry.
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D.
Boltzmann–Gibbs entropy in statistical mechanics
Boltzmann–Gibbs entropy in statistical mechanics is the standard measure of disorder or uncertainty in a system, quantifying how many microscopic configurations correspond to a given macroscopic state and forming the basis of classical equilibrium statistical mechanics.
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E.
Onsager reciprocal relations
Onsager reciprocal relations are fundamental symmetry relations in nonequilibrium thermodynamics that link pairs of coupled fluxes and forces, showing that certain transport coefficients are equal.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: dynamics of nonequilibrium systems Target entity description: Dynamics of nonequilibrium systems is the field of physics that studies how physical systems evolve and organize over time when they are driven away from thermal or mechanical equilibrium.
-
A.
statistical physics
Statistical physics is a branch of physics that uses probabilistic and mathematical methods to explain the collective behavior and macroscopic properties of systems with many particles.
-
B.
fluctuation–dissipation theorem
The fluctuation–dissipation theorem is a fundamental principle in statistical physics that links the random microscopic fluctuations in a system at thermal equilibrium to its macroscopic response to external perturbations.
-
C.
The Principles of Statistical Mechanics
The Principles of Statistical Mechanics is a classic 1938 textbook by Richard C. Tolman that systematically develops the foundations of statistical mechanics and its applications to thermodynamics and physical chemistry.
-
D.
Boltzmann–Gibbs entropy in statistical mechanics
Boltzmann–Gibbs entropy in statistical mechanics is the standard measure of disorder or uncertainty in a system, quantifying how many microscopic configurations correspond to a given macroscopic state and forming the basis of classical equilibrium statistical mechanics.
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E.
Onsager reciprocal relations
Onsager reciprocal relations are fundamental symmetry relations in nonequilibrium thermodynamics that link pairs of coupled fluxes and forces, showing that certain transport coefficients are equal.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
field of physics
ⓘ
research area in theoretical physics ⓘ subfield of statistical physics ⓘ |
| appliesTo |
biological cells and tissues
ⓘ
ecological and population systems ⓘ financial and socio-economic systems ⓘ fluids driven by external fields ⓘ plasmas ⓘ |
| goal |
characterize universal properties of nonequilibrium behavior
ⓘ
understand how order emerges in driven systems ⓘ |
| relatedTo |
chemical physics
ⓘ
complex systems ⓘ soft condensed matter physics ⓘ thermodynamics of irreversible processes ⓘ |
| studies |
active matter
ⓘ
aging phenomena in complex systems ⓘ biological nonequilibrium processes ⓘ critical phenomena far from equilibrium ⓘ driven granular media ⓘ entropy production in physical systems ⓘ fluctuations in nonequilibrium states ⓘ glassy dynamics ⓘ irreversible processes ⓘ noise-induced phenomena ⓘ nonequilibrium phase transitions ⓘ nonlinear dynamical systems in physics ⓘ pattern formation in extended systems ⓘ reaction-diffusion systems ⓘ relaxation in disordered systems ⓘ relaxation processes toward equilibrium ⓘ response of systems to external driving forces ⓘ self-organization in driven media ⓘ steady states far from equilibrium ⓘ stochastic processes in physics ⓘ time evolution of physical systems out of equilibrium ⓘ transport in mesoscopic systems ⓘ transport phenomena in driven systems ⓘ turbulence and chaotic flows ⓘ |
| usesConcept |
Boltzmann equation
NERFINISHED
ⓘ
Fokker–Planck equations NERFINISHED ⓘ Langevin equations NERFINISHED ⓘ chaos theory ⓘ fluctuation theorems ⓘ fluctuation–dissipation relations ⓘ kinetic theory ⓘ large deviation theory ⓘ linear response theory ⓘ master equations ⓘ nonequilibrium statistical mechanics ⓘ nonlinear dynamics ⓘ stochastic thermodynamics ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: dynamics of nonequilibrium systems Description of subject: Dynamics of nonequilibrium systems is the field of physics that studies how physical systems evolve and organize over time when they are driven away from thermal or mechanical equilibrium.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.