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Record W4413585083 · doi:10.1002/andp.202500204

Cosmology Due to Thermodynamics of Apparent Horizon

2025· article· en· W4413585083 on OpenAlexaff
Serguei Krouglov

Bibliographic record

VenueAnnalen der Physik · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicCosmology and Gravitation Theories
Canadian institutionsCanadian Quantum Research CenterUniversity of Toronto
Fundersnot available
KeywordsCosmologyPhysicsHorizonThermodynamicsTheoretical physicsApparent horizonAstrophysicsEvent horizonAstronomy

Abstract

fetched live from OpenAlex

Abstract This study proposes new entropy of the apparent horizon , where is the Bekenstein–Hawking entropy. As parameter one comes to the Bekenstein–Hawking entropy. This allows to consider the generalized Friedmann–Lemaître–Robertson–Walker (FLRW) equations for the barotropic matter fluid with for arbitrary equation of state parameter . The modified Friedmann's equations are found. The addition term in the second modified Friedmann's equation plays the role of a dynamical cosmological constant. The dark energy density, pressure, and the deceleration parameter are found. It is shown that at some parameters and , two phases can be obtained, acceleration and deceleration or the eternal inflation. The model under consideration by using the holographic principle can describe the universe inflation and late time of the universe acceleration. Thus, the holographic dark energy model with the generalized entropy of the apparent horizon is considered. It is shown that entropic cosmology with the entropy proposed is equivalent to cosmology based on the teleparallel gravity with the function . New cosmology based on the generalized entropy can be of interest for a description of inflation and late time of the universe evolution.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.270
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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