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Record W4414290295 · doi:10.1063/5.0287732

Exploiting positive work and efficiency of quantum Otto engine based on two coupled two-level atomic systems: Local vs global approach

2025· article· en· W4414290295 on OpenAlexaff
Hao Wang

Bibliographic record

VenueJournal of Applied Physics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsArtificial Intelligence in Medicine (Canada)
Fundersnot available
KeywordsCarnot cycleHeat engineQuantum thermodynamicsWork (physics)QuantumCoupling (piping)Focus (optics)Work output

Abstract

fetched live from OpenAlex

We developed a model of a quantum Otto engine using two dipole-coupled two-level atoms. Based on the platform, we focus on fundamental thermodynamic quantities, including heat absorption, release to heat baths, work done, and efficiency. The characteristic of the engine either for the case of identical as well as non-identical two two-level atoms is investigated under the influence of average frequency, frequency detuning, and coupling strength. The conditions for the efficiency to be higher than in the noninteracting case are found. A tighter upper bound for the efficiency is found, which is lower than the Carnot limit. The second law of thermodynamics holds all the while. Our findings represent a step forward in the design of quantum thermodynamic devices, which take advantage of quantum resources.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score0.773

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.009
GPT teacher head0.251
Teacher spread0.242 · 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 designSimulation or modeling
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

Citations0
Published2025
Admission routes1
Has abstractyes

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