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Record W2684852365 · doi:10.1021/acs.jced.7b00112

Solubility of Nitrous Oxide in Aqueous Methyldiethanolamine Solutions

2017· article· en· W2684852365 on OpenAlexafffund
Fang‐Yuan Jou, Alan E. Mather, Kurt A. G. Schmidt

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2017
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNitrous oxideAqueous solutionSolubilityOxideChemistryChemical engineeringInorganic chemistryOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

The solubility of nitrous oxide in a 20 mass % aqueous solution of methyldiethanolamine (MDEA) was measured at the temperatures of (283.15, 298.15, 323.15, 348.15, 373.15, and 398.15) K at pressures up to 20.37 MPa. In addition, the solubility of nitrous oxide in a 40 mass % aqueous solution of MDEA was measured at temperatures of (274.15, 283.15, 298.15, 323.15, 348.15, 373.15, and 398.15) K at pressures up to 20.57 MPa. The individual data sets were correlated with the Peng–Robinson equation of state with temperature-dependent binary interaction parameters. The correlation approach reproduced the experimental data to within an overall average percent deviation in the N 2 O liquid-phase mole fraction of 3.5% and 4.5% in the 20 mass % and 40 mass % MDEA solutions, respectively. The Peng–Robinson equation of state combined with the Krichevsky–Ilinskaya equation were used to obtain Henry’s law constants, partial molar volumes at infinite dilution, and Margules parameters for these systems. The new Henry’s law constants were correlated with the Li–Mather model. The new binary (N 2 O + MDEA) interaction energy parameters correlated the Henry’s law constants of N 2 O in both of the aqueous MDEA solutions to within 1.2%. As part of the solubility and Henry’s law constant model development, new models for the density of pure MDEA and (MDEA + H 2 O) solutions were developed. These models could reproduce the literature density data of pure MDEA and aqueous MDEA solutions to within 0.10% and 0.13%, respectively.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.037
GPT teacher head0.265
Teacher spread0.228 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

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