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Record W2090346674 · doi:10.1063/1.4818989

What can we learn about a dynamical length scale in glasses from measurements of surface mobility?

2013· article· en· W2090346674 on OpenAlex
James A. Forrest

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Chemical Physics · 2013
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Dynamics and Properties
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsScale (ratio)Length scaleSurface (topology)Glass transitionMaterials scienceLimit (mathematics)Statistical physicsChemical physicsPhysicsPolymerMathematicsMechanicsComposite materialGeometry

Abstract

fetched live from OpenAlex

We consider the ability of recent measurements on the size of a liquid-like mobile surface region in glasses to provide direct information on the length scale of enhanced surface mobility. While these quantities are strongly related there are important distinctions that limit the ability of measurements to quantify the actual length over which the surface properties change from surface to bulk-like. In particular, we show that for temperatures near the bulk glass transition, measurements of a liquid-like mobile layer may have very limited predictive power when it comes to determining the temperature dependent length scale of enhanced surface mobility near the glass transition temperature. This places important limitations on the ability of measurements of such enhanced surface dynamics to contribute to discussion on the length scale for dynamical correlation in glassy materials.

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)0.001
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 score0.017
Threshold uncertainty score0.326

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 science0.0000.000
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 head0.025
GPT teacher head0.241
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