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Record W2108466760 · doi:10.1039/c5cp00471c

Nucleation and growth of condensate in nanoporous materials

2015· article· en· W2108466760 on OpenAlexafffund
Seyed Hadi Zandavi, C. A. Ward

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsUniversity of TorontoToronto Public Health
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyEuropean Space Agency
KeywordsNucleationNanoporousChemical engineeringMaterials scienceNanotechnologyChemical physicsChemistryThermodynamicsPhysicsEngineering

Abstract

fetched live from OpenAlex

We consider the adsorption-desorption cycles of water and of three hydrocarbons on MCM-41 and on SBA-15. We show that during the desorption portion of a cycle, when the condensate is still at the mouth of the pores, in equilibrium, and the pressure, P, is the minimum value reached before pore-emptying begins, the contact angle is zero. This value of the contact angle is used with the Kelvin equation to calculate the pore radius of each of the mesoporous silicas considered. The standard deviations in the values are found to differ by only a few percent. We propose a method for predicting the size of adsorbed-molecular clusters that must be formed in the pores to initiate condensate formation there. Once formed, the condensate grows spontaneously to the pore mouth. If the vapour-phase pressure when this condition is reached is also P, the adsorption-desorption cycle is reversible. Three of the eight systems considered meet this condition and their adsorption-desorption cycles are experimentally reversible.

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 score0.020
Threshold uncertainty score0.713

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 head0.016
GPT teacher head0.234
Teacher spread0.219 · 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

Citations26
Published2015
Admission routes2
Has abstractyes

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