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Isomerization-Induced Dynamic Heterogeneity in a Glass Former below and above<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>T</mml:mi><mml:mi>g</mml:mi></mml:msub></mml:math>

2009· article· en· W1987719838 on OpenAlex
Victor Teboul, Mohamed Saiddine, Jean‐Michel Nunzi

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

VenuePhysical Review Letters · 2009
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Dynamics and Properties
Canadian institutionsQueen's University
Fundersnot available
KeywordsIsomerizationAzobenzeneSupercoolingGlass transitionPhotoisomerizationDiffusionAmorphous solidMaterials scienceMolecular dynamicsDynamical heterogeneityNon-equilibrium thermodynamicsPhysicsMoleculeChemical physicsThermodynamicsChemistryPolymerCrystallographyQuantum mechanicsOrganic chemistry

Abstract

fetched live from OpenAlex

We report the first molecular dynamics simulations of the effect of the photoisomerization of probe molecules on the nonequilibrium dynamics of a glassy or supercooled molecular material. We show that the isomerization of the probe molecules creates a new mobile dynamic heterogeneity inside the matrix. Together with these induced cooperative motions, we find an important increase of the diffusion coefficient leading to liquidlike diffusion below the glass-transition temperature. This result could explain the massive mass transport that leads to surface relief grating formation in azobenzene containing amorphous materials. We find that the isomerization process controls the heterogeneity and the non-gaussian parameter of the material, leading to extremely rapid variations of these quantities.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.508
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.255
Teacher spread0.240 · 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