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Record W1669858353 · doi:10.1103/physrevb.84.094512

Pressure gradients in solid<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msup><mml:mrow/><mml:mn>4</mml:mn></mml:msup></mml:math>He: Thermal quenching and annealing

2011· article· lv· W1669858353 on OpenAlexafffund
A. Suhel, John Beamish

Bibliographic record

VenuePhysical Review B · 2011
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicQuantum, superfluid, helium dynamics
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaNational Cancer Research Institute
KeywordsMaterials scienceAnnealing (glass)HeliumThermalThermodynamicsAtomic physicsPhysicsComposite material

Abstract

fetched live from OpenAlex

Torsional oscillator measurements on solid ${}^{4}$He show a frequency increase at low temperatures that suggests mass decoupling or nonclassical rotational inertia (NCRI). The magnitude of the NCRI appears to be larger when the helium is frozen and cooled rapidly. Annealing at high temperatures usually reduces the NCRI, with an accompanying drop in pressure, suggesting that defects are involved. Measurements in quenched or deformed crystals show a ${T}^{2}$ term in the temperature dependence of the pressure which has also been attributed to defects. We have built a cell with two capacitive gauges to measure the temperature dependence of the pressure and the magnitude of pressure gradients in solid helium. The helium can be melted in a few seconds using a heater embedded in the crystal and can be refrozen and quenched to low temperature very rapidly. From the maximum pressure differences in the cell, we infer a yield stress of order 4 kPa for solid ${}^{4}$He near melting. The pressure gradients relax when the temperature is raised above about 0.5 K via a thermally activated annealing process with an activation barrier of about 5 K. The existence of significant pressure gradients makes it difficult to measure the thermodynamic temperature dependence of the pressure, for example to extract information about glassy regions or other defects.

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 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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.985
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.019
GPT teacher head0.263
Teacher spread0.243 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2011
Admission routes2
Has abstractyes

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Same venuePhysical Review BSame topicQuantum, superfluid, helium dynamicsFrench-language works237,207