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Record W2866612414

New Insights into Nucleation

2008· book· en· W2866612414 on OpenAlexaboutno aff
David Ghosh

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEarth and Planetary Sciences
Topicnanoparticles nucleation surface interactions
Canadian institutionsnot available
Fundersnot available
KeywordsNucleationSupersonic speedPetrochemicalNozzleImpurityNatural gasParticle (ecology)ChemistryRaw materialMaterials scienceChemical engineeringThermodynamicsProcess engineeringOrganic chemistryEngineeringPhysics
DOInot available

Abstract

fetched live from OpenAlex

Natural gas currently supplies ~23% of world energy needs. In addition to methan, raw natural gas contains water, higher hydrocarbons, and impurities that must be removed before the gas is transported and used. Supersonic nozzle separators for natural gas are currently being developed to remove impurities and the first step is to cool the gas to induce droplet formation and growth. Thus, understanding particle formation of the n-alkanes and n-alcohols in supersonic flows has important technological applications in the petrochemical industry and provides a way to replace chemical separation processes with one that is more environmentally benign. In this work, the homogeneous nucleation rates of the n alkanes and n-alcohols have been determined by combining information from two sets of supersonic Laval nozzle expansion experiments under almost identical conditions. In the first experiments static pressure measurements were conducted to determine the thermodynamical properties related to the nucleation event. In the second set of experiments Small Angle X ray Scattering is applied to investigate the geometric properties of the aerosol particles.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.077
Threshold uncertainty score0.971

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)0.0390.030

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 head0.015
GPT teacher head0.212
Teacher spread0.197 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2008
Admission routes1
Has abstractyes

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Same topicnanoparticles nucleation surface interactionsFrench-language works237,207