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Record W2062622793 · doi:10.1063/1.1289464

A method whereby Onsager coefficients may be evaluated

2000· article· en· W2062622793 on OpenAlexafffund
Janet A.W. Elliott, Heidi Elmoazzen, Locksley E. McGann

Bibliographic record

VenueThe Journal of Chemical Physics · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsUniversity of Alberta
FundersMedical Research Council Canada
KeywordsOnsager reciprocal relationsNon-equilibrium thermodynamicsReciprocity (cultural anthropology)LinearityA priori and a posterioriStatistical physicsThermodynamicsPhysicsMathematicsQuantum mechanics

Abstract

fetched live from OpenAlex

Much of our understanding of transport phenomena is based on linear irreversible thermodynamics formalized most notably by Onsager in 1931. As with any theory based on an a priori linear assumption, coefficients appear that may not be calculated from within the theory. In the case of transport these coefficients are usually found empirically. To correctly apply a linear theory the criteria for linearity should be evaluated. In this paper, a general theory of nonequilibrium thermodynamics, statistical rate theory, is used to outline a method whereby Onsager coefficients may be evaluated for a given circumstance. For a particular osmotic transport example, expressions for the Onsager coefficients are found which are shown to satisfy Onsager’s reciprocity hypothesis. Most importantly, criteria for linearity are explicitly formulated.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.778
Threshold uncertainty score1.000

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)0.0010.000

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 head0.016
GPT teacher head0.314
Teacher spread0.298 · 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.

Study designTheoretical or conceptual
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

Citations32
Published2000
Admission routes2
Has abstractyes

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