statistical physics
E59635
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| statistical physics canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T478475 — 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: statistical physics Context triple: [Itô calculus, usedIn, statistical physics]
-
A.
Journal of Statistical Physics
Journal of Statistical Physics is a peer-reviewed scientific journal focusing on research in statistical mechanics and related areas of theoretical physics.
-
B.
Ising models
Ising models are mathematical models in statistical mechanics that describe systems of interacting binary variables (spins) on a lattice, widely used to study phase transitions, magnetism, and as a foundation for various probabilistic and machine learning models.
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C.
soft matter physics
Soft matter physics is the branch of physics that studies materials such as polymers, colloids, gels, liquid crystals, and biological matter, focusing on their complex structural, dynamical, and rheological properties.
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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.
Maxwell–Boltzmann statistics
Maxwell–Boltzmann statistics is a classical statistical framework in physics that describes the distribution of speeds or energies among distinguishable, non-quantum particles in thermal equilibrium.
- 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: statistical physics Target entity description: 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.
-
A.
Journal of Statistical Physics
Journal of Statistical Physics is a peer-reviewed scientific journal focusing on research in statistical mechanics and related areas of theoretical physics.
-
B.
Ising models
Ising models are mathematical models in statistical mechanics that describe systems of interacting binary variables (spins) on a lattice, widely used to study phase transitions, magnetism, and as a foundation for various probabilistic and machine learning models.
-
C.
soft matter physics
Soft matter physics is the branch of physics that studies materials such as polymers, colloids, gels, liquid crystals, and biological matter, focusing on their complex structural, dynamical, and rheological properties.
-
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.
-
E.
Maxwell–Boltzmann statistics
Maxwell–Boltzmann statistics is a classical statistical framework in physics that describes the distribution of speeds or energies among distinguishable, non-quantum particles in thermal equilibrium.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
academic discipline
ⓘ
branch of physics ⓘ subfield of theoretical physics ⓘ |
| appliesTo |
biological systems
ⓘ
complex systems ⓘ gases ⓘ liquids ⓘ magnetic systems ⓘ plasmas ⓘ polymer systems ⓘ solids ⓘ |
| associatedWith |
J. Willard Gibbs
ⓘ
linked to:
Josiah Willard Gibbs
James Clerk Maxwell ⓘ Ludwig Boltzmann ⓘ |
| explains |
collective behavior of particles
ⓘ
emergent phenomena ⓘ |
| goal |
derive thermodynamics from microscopic laws
ⓘ
predict macroscopic behavior from microscopic models ⓘ |
| historicallyDevelopedFrom | kinetic theory of gases ⓘ |
| includes |
critical phenomena
ⓘ
equilibrium statistical mechanics ⓘ fluctuation theory ⓘ kinetic theory ⓘ nonequilibrium statistical mechanics ⓘ phase transition theory ⓘ |
| isBasedOn |
classical mechanics
ⓘ
laws of thermodynamics ⓘ quantum mechanics ⓘ statistical ensembles ⓘ |
| relatedTo |
condensed matter physics
ⓘ
information theory ⓘ physical chemistry ⓘ probability theory ⓘ thermodynamics ⓘ |
| relates | microscopic states to macroscopic observables ⓘ |
| studies |
macroscopic properties of matter
ⓘ
many-particle systems ⓘ systems with many degrees of freedom ⓘ |
| uses |
mathematical modeling
ⓘ
probability theory ⓘ statistical methods ⓘ |
| usesConcept |
Boltzmann distribution
ⓘ
Gibbs ensemble ⓘ canonical ensemble ⓘ entropy ⓘ free energy ⓘ grand canonical ensemble ⓘ microcanonical ensemble ⓘ partition function ⓘ temperature ⓘ |
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: statistical physics Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.