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Record W2000029619 · doi:10.1063/1.1394211

The rates of redistribution of CCl3F clusters under subsaturation conditions

2001· article· en· W2000029619 on OpenAlexaff
Zhikai Cheng, Raman Pall, Heshel Teitelbaum

Bibliographic record

VenueThe Journal of Chemical Physics · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicnanoparticles nucleation surface interactions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRedistribution (election)ChemistryThermodynamicsShock waveSchlierenAtomic physicsMechanicsPhysics

Abstract

fetched live from OpenAlex

Pure CCl3F (Freon-11) vapor, initially below its room-temperature saturated vapor pressure, was compressed behind weak incident shock waves. The initial pressure was varied from 26 to 747 mm Hg, and the shock speed was varied from 141 to 321 m/s. The equilibrium cluster-size distribution was thus perturbed to varying degrees. Under the present experimental conditions cluster-forming processes en route to homonuclear condensation were set into motion. The exothermic redistribution of cluster sizes at the new temperature and pressure was monitored using the laser-schlieren technique over a time period of 10–300 μs. A characteristic redistribution time scale was measured as a function of temperature and pressure. The measured temperature and pressure dependence of the redistribution times are different than the classical temperature and pressure dependence of lag times in supersaturated vapors. A negative activation energy is observed, indicative of a strong competition between cluster formation, redissociation, and stabilization. A stability analysis of the nonlinear kinetic mechanism leads to a criterion for the onset of oscillations, and provides a basis for extracting elementary rate constants from the observations.

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)0.000
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 score0.046
Threshold uncertainty score0.097

Codex and Gemma teacher scores by category

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 head0.022
GPT teacher head0.269
Teacher spread0.247 · 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.

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

Citations0
Published2001
Admission routes1
Has abstractyes

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