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Record W2973028072 · doi:10.23919/acc.2019.8815267

Modeling and stability analysis of a class of convective distributed thermodynamic systems

2019· article· en· W2973028072 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicControl and Stability of Dynamical Systems
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEntropy productionAdiabatic processNonlinear systemEntropy (arrow of time)Thermodynamic systemState variableThermodynamic processThermodynamic equilibriumMathematicsThermodynamicsConvectionInternal energyStatistical physicsMechanicsPhysicsMaterial properties

Abstract

fetched live from OpenAlex

In this contribution we develop a distributed parameter model of a class of thermodynamic systems described by transport hyperbolic partial differential equations. The general model is proposed in a thermodynamically consistent framework, where the internal entropy production is positive semi-definite regardless if the system is far from equilibrium, i.e., the force-flux relations can be nonlinear and the internal entropy production can be associated to stability or passivity properties. A case study of an adiabatic plug flow reactor with stream recycle is analyzed from an entropy production point of view, showing the sensitivity of the steady internal entropy production density and state variables to the recycle rate and a possible link to instabilities.

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.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.337

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 head0.006
GPT teacher head0.188
Teacher spread0.182 · 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