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Record W1974819582 · doi:10.1063/1.3664740

Reversible Oregonator model revisited: Thermodynamic validity

2011· article· en· W1974819582 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAIP Advances · 2011
Typearticle
Languageen
FieldComputer Science
TopicNonlinear Dynamics and Pattern Formation
Canadian institutionsnot available
FundersMcGill University
KeywordsThermodynamic equilibriumThermodynamicsStatistical physicsWork (physics)Equilibrium constantDiffusionKinetic energyPhysicsChemistryClassical mechanics

Abstract

fetched live from OpenAlex

We have investigated the features of thermodynamic equilibrium state of the reversible Oregonator (RO) model with close system approximation for a plausible stoichiometry, in which there is no overall change in the concentrations of the intermediates. For Field-Försterling (ff) parameters, this model with close system approximation attains the state of thermodynamic equilibrium at equilibrium concentration of its final product in the order of 104 mol l-1, which is obviously unrealistic in a laboratory experiment. From numerical experiment, we report that if the equilibrium constant of the fifth step (K5) is assigned a value less than 1.0 (which is opposite to that proposed by Field), the RO model under open system approximation could execute oscillations, as well as under close system approximation could evolve to a thermodynamic equilibrium state with reasonably low and realistic equilibrium concentration of its final product for the overall reaction considered here. To accommodate the findings of this numerical work for the RO kinetic steps with K5 <1, we have found it necessary to revise the 2-variable diffusion-reaction model of Tyson.

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.908
Threshold uncertainty score0.338

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 science0.0010.000
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 head0.040
GPT teacher head0.255
Teacher spread0.215 · 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