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Record W2013605265 · doi:10.1103/physrevb.77.024304

Vibrational and configurational parts of the specific heat at glass formation

2008· article· en· W2013605265 on OpenAlexaff
E. Tombari, C. Ferrari, G. Salvetti, G. P. Johari

Bibliographic record

VenuePhysical Review B · 2008
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Dynamics and Properties
Canadian institutionsMcMaster University
FundersCentre National de la Recherche Scientifique
KeywordsAnharmonicitySupercoolingMaterials scienceThermodynamicsCurvatureVitrificationSpecific heatPhononEnergy landscapeCondensed matter physicsPhysics

Abstract

fetched live from OpenAlex

The specific heat ${C}_{p}$ of a liquid is partly vibrational, arising from change in phonons and anharmonic forces with temperature $T$, and partly configurational, arising from change in the structure with $T$. The first determines a liquid's elastic resistance to stress or rigidity and the second its fluid behavior. Both are thought to decrease on liquid's vitrification, and their ad hoc estimates are currently used for understanding a supercooled liquid's dynamics. We report measurements of the vibrational part, ${C}_{p,\mathrm{vib}}$, and determine the configurational part. It is found that there is almost no decrease in ${C}_{p,\mathrm{vib}}$ on structural freezing of the polymer melts, and the decrease in ${C}_{p}$ is configurational. An interpretation of the finding is that the curvature of the fixed configurational energy minimum in which a polymer glass structure is trapped and the associated anharmonicity have quantitatively the same effect on ${C}_{p}$ as the corresponding two sources when its melt explores a multiplicity of high energy minima and its volume changes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.246
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), 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

Citations20
Published2008
Admission routes1
Has abstractyes

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