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A nano-scale free volume perspective on the glass transition of supercooled water in confinement

2014· article· en· W2142332331 on OpenAlexaff
Mina Roussenova, M. A. Alam, Sam Townrow, Duncan Kilburn, P. E. Sokol, Rémy Guillet‐Nicolas, Freddy Kleitz

Bibliographic record

VenueNew Journal of Physics · 2014
Typearticle
Languageen
FieldEngineering
TopicMuon and positron interactions and applications
Canadian institutionsUniversité Laval
FundersEngineering and Physical Sciences Research Council
KeywordsSupercoolingGlass transitionPhysicsSpectroscopyMolecular sieveMeasure (data warehouse)Chemical physicsVolume (thermodynamics)Mesoporous materialCrystallizationCondensed matter physicsMolecular physicsThermodynamicsNuclear magnetic resonancePhysical chemistryAdsorptionChemistryPolymer

Abstract

fetched live from OpenAlex

We employ positron annihilation lifetime spectroscopy (PALS) to measure the temperature dependent fluctuations in a local free volume of water confined in a variety of mesoporous materials with different pore sizes and morphologies.We demonstrate that this unconventional approach can be used to probe the dynamics and glass transition temperature, T g , of water in confinement.In the simplest case of water confined in a 13X molecular sieve (d = 7.4 Å), the confinement is so severe that it precludes crystallisation altogether, and we measure a T g = 190 ± 2 K.We also show that temperature dependent PALS measurements can be used to probe the glass transition of water molecules confined in matrices with larger pore diameters (SBA-15, KIT-6 and Vycor glass), where the confinement is expected to be less severe.

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)0.000
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.001
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 head0.007
GPT teacher head0.217
Teacher spread0.210 · 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

Citations25
Published2014
Admission routes1
Has abstractyes

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