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Record W1968505159 · doi:10.1063/1.1386903

The dielectric relaxation time of ice V, its partial anti-ferroelectric ordering and the role of Bjerrum defects

2001· article· en· W1968505159 on OpenAlexaff
G. P. Johari, E. Whalley

Bibliographic record

VenueThe Journal of Chemical Physics · 2001
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Dynamics and Properties
Canadian institutionsMcMaster University
Fundersnot available
KeywordsActivation energyDielectricArrhenius plotRelaxation (psychology)Arrhenius equationChemistryAtmospheric temperature rangeDiffusionFerroelectricityThermodynamicsMaterials sciencePhysical chemistryPhysics

Abstract

fetched live from OpenAlex

The dielectric relaxation spectra of ice V has been studied over the 133–270 K range, at frequencies in the 0.05 Hz–300 kHz range. Its dielectric relaxation time, τ, is 1.5 s at 133 K. The Arrhenius plot of its τ is found to bend sharply at ∼200 K, and the Arrhenius energy decreases from 49.9 kJ/mol at 260 K to 23.3 kJ/mol at 160 K. This confirms the inference from the orientational ordering studies that τ of ice V at 125 K is much less than 100 s [J. Chem. Phys. 112, 7169 (2000)]. The increase in the equilibrium permittivity on cooling ice V from 266 to 133 K is 77% of that anticipated from a decrease in its volume and thermal energy. The discrepancy is attributed to a gradual increase in orientational ordering of water molecules in its structure, leading to a partially antiferroelectric state at low temperatures. A comparison made with the earlier studies of uncontaminated (H2O and D2O) ice Ih and N2- and CO2-contaminated (H2O) ice Ih (impurities in the latter used to generate extrinsic Bjerrum defects), showed that the decrease in the Arrhenius energy on cooling ice V may be explained without invoking a change in mechanism from Bjerrum defects diffusion to ionic defects diffusion with zero activation energy.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
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 studies0.0000.000
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 head0.007
GPT teacher head0.200
Teacher spread0.194 · 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 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

Citations41
Published2001
Admission routes1
Has abstractyes

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