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Record W4292595362 · doi:10.1063/5.0095769

Ubiquity of the kinetic compensation effect: A consequence of the existence of a maximum in energy dissipation

2022· article· en· W4292595362 on OpenAlexafffund
R. A. Masut

Bibliographic record

VenueJournal of Applied Physics · 2022
Typearticle
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDissipationKinetic energyStatistical physicsRelaxation (psychology)Theoretical physicsPhysicsThermodynamicsClassical mechanicsMedicine

Abstract

fetched live from OpenAlex

The significance of the often observed kinetic compensation effect (KCE) remains controversial. The assumption of its validity, as well as its ubiquity, has led to speculations on its significance with no general consensus in the scientific community. Efforts to understand the KCE have usually attempted connections between microscopic events, structures, and mechanisms involved in various kinetic processes. An alternative proposition, with no relation to specific mechanisms, is presented suggesting that there is no new conceptual physics in the KCE. An analysis of internal friction (IF) in the framework of linear response to weak perturbations highlights that the concomitant energy dissipation cannot exceed a maximum or peak value which depends solely on the anelastic properties of the material. The KCE is shown to be a consequence of this simple fact. This physical principle underpinning the KCE is able to explain its ubiquity because of its general nature beyond any specific kinetic rate mechanism. Examples of IF in different systems such as polycrystalline thermoelectric composites and Al bicrystals, which show evidence of the KCE, conform to this prediction. While the observation on Al bicrystals has previously been presented and interpreted as signaling a phase transition, the analysis presented here demonstrates the simpler alternative. A similar argument is presented to derive the KCE in the thermal desorption of gases, which involves kinetic processes unrelated to the above examples. It is proposed that a KCE can, in general, be deduced for any set of closely related relaxation processes having close peak values of energy dissipation.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.193

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.016
GPT teacher head0.224
Teacher spread0.209 · 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 designBench or experimental
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

Citations1
Published2022
Admission routes2
Has abstractyes

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