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Record W2765965011 · doi:10.1021/acs.jced.7b00586

Density, Viscosity, and Refractive Index of Aqueous CO<sub>2</sub>-Loaded and -Unloaded Ethylaminoethanol (EAE) Solutions from 293.15 to 323.15 K for Post Combustion CO<sub>2</sub> Capture

2017· article· en· W2765965011 on OpenAlexafffund
Hongxia Gao, Ge Gao, Helei Liu, Xiao Luo, Zhiwu Liang, Raphael Idem

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2017
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsUniversity of Regina
FundersNatural Sciences and Engineering Research Council of CanadaQatar National Research FundNatural Science Foundation of Hunan ProvinceMinistry of Science and Technology of the People's Republic of ChinaMinistry of Education of the People's Republic of ChinaCanada Foundation for InnovationNational Natural Science Foundation of ChinaChina Scholarship Council
KeywordsRefractive indexViscosityAqueous solutionTernary operationThermodynamicsArrhenius equationChemistryAbsorption (acoustics)Ternary numeral systemAnalytical Chemistry (journal)Mass fractionMaterials sciencePhysical chemistryChromatographyOrganic chemistryActivation energyPhase (matter)Composite materialPhysics

Abstract

fetched live from OpenAlex

The physical properties of densities, viscosities, and refractive indices, which are important in kinetics and mass transfer processes were measured for aqueous CO 2 -loaded and -unloaded (EAE) solutions applied in CO 2 absorption in the temperature range from 293.15 to 323.15 K at atmospheric pressure. Due to the limitation of the instrument and corrosive behavior with increasing concentration, the mass fractions ( w 1 ) of aqueous EAE solutions selected were: as 0.089, 0.178, 0.267, and 0.356, which correspond to the molar concentrations of 1, 2, 3, and 4 mol·L –1, respectively. The determined density, viscosity and refractive index data for binary EAE+H 2 O and ternary CO 2 +EAE+H 2 O systems were correlated using Weiland et al. model, Redlich–Kister equation, extended Arrhenius equation, and a new proposed empirical function. All the calculated density, viscosity, and refractive index data fitted well with experimental values at all operational conditions.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.021
GPT teacher head0.251
Teacher spread0.230 · 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 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

Citations24
Published2017
Admission routes2
Has abstractyes

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