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Record W2969433679 · doi:10.1016/j.ifacol.2019.07.003

On the Positivity of Entropy Production in Multiphase Thermodynamic Systems

2019· article· en· W2969433679 on OpenAlexaff
Aarón Romo‐Hernández, Nicolas Hudon, B. Erik Ydstie, Denis Dochain

Bibliographic record

VenueIFAC-PapersOnLine · 2019
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsQueen's University
Fundersnot available
KeywordsEntropy productionThermodynamicsThermodynamic processEntropy (arrow of time)Thermodynamic systemThermodynamic equilibriumLyapunov functionThermodynamic stateMultiphase flowBounded functionStatistical physicsPhysicsMathematicsMaterial propertiesNonlinear systemMathematical analysis

Abstract

fetched live from OpenAlex

Multiphase processes are frequently assumed to evolve restricted by thermodynamic equilibrium relations. In this article, we study the possibility of multiphase systems to evolve far from thermodynamic equilibrium while contained in what we call a domain of physical feasibility. We show that processes evolving in the domain of feasibility have a positive definite internal entropy production rate. Being positive definite, the internal entropy production stands as a Lyapunov function candidate to characterize the stability of equilibrium for irreversible multiphase systems contained in the feasibility domain. In addition, the thermodynamic-based approach considered in our study provides phenomenological insight into the dynamic properties of multiphase systems. Counter-flow interface molar transport processes, for instance, are found to be thermodynamically stable provided that the transport is bounded by a function that depends on the deviation from thermodynamic equilibrium.

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: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.303

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 communication0.0000.000
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 head0.005
GPT teacher head0.184
Teacher spread0.180 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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