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Record W2889495832 · doi:10.1142/s021797921850265x

Nonequilibrium quantum electrodynamics: Entropy production during equilibration

2018· article· en· W2889495832 on OpenAlexaff
Akihiro Nishiyama, Jack A. Tuszyński

Bibliographic record

VenueInternational Journal of Modern Physics B · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum Electrodynamics and Casimir Effect
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPhysicsQuantum electrodynamicsNon-equilibrium thermodynamicsEntropy productionQuantum decoherenceQuantum mechanicsPhotonMaster equationEntropy (arrow of time)Quantum

Abstract

fetched live from OpenAlex

We study nonequilibrium processes of Quantum Electrodynamics (QED) with relativistic charged Bose fields. The aim is to describe thermal equilibration, based on the Klein–Gordon equation for background coherent fields and the Kadanoff–Baym (KB) equation including the leading-order (LO) self-energy of the coupling expansion (the Hartree–Fock approximation). We introduce a gauge invariant relativistic kinetic entropy current at the first-order in the gradient expansion of the KB equation and we show the proof of the H-theorem in d + 1 dimensions (d = 1, 2, 3) in the presence of nonzero background coherent fields. Finally, we present numerical simulation in 1 + 1 dimensions and aim to investigate whether decoherence of the system occurs or not. We find that equilibrium states are realized with remaining background coherent charged Bose and photon fields by preparing distributions of incoherent charged particles asymmetrically in frequency mode as initial conditions in the KB equation even if LO self-energy is present.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.250
Teacher spread0.244 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations5
Published2018
Admission routes1
Has abstractyes

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