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Record W2330216601 · doi:10.1021/ie0507631

Electrical Conductivity of Concentrated MgSO<sub>4</sub>−H<sub>2</sub>SO<sub>4</sub>Solutions up to 250 °C

2006· article· en· W2330216601 on OpenAlexafffund
Ming Huang, Vladimiros G. Papangelakis

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2006
Typearticle
Languageen
FieldChemical Engineering
TopicChemical and Physical Properties in Aqueous Solutions
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Toronto
KeywordsConductivityLimitingDrop (telecommunication)ChemistryAnalytical Chemistry (journal)Aqueous solutionElectrical resistivity and conductivityRADIUSThermodynamicsIonic strengthChromatographyPhysical chemistryPhysics

Abstract

fetched live from OpenAlex

A conductivity cell, developed previously, was employed to investigate the speciation of MgSO 4 −H 2 SO 4 solutions particularly at high temperatures. These solutions were measured from 15 to 250 °C at the equilibrium vapor pressures. The maximum measured concentrations of MgSO 4 and H 2 SO 4 were 0.30 m and 0.45 m, respectively. At 250 °C and constant H 2 SO 4 concentration, the solution conductivity drops with the increase of MgSO 4 concentration. It is postulated that this drop is caused by a decrease in the concentration of H + due to bisulfate formation. However, the limiting equivalent conductivity of H + was not significantly affected by MgSO 4 . Application of the extended mean spherical approximation (MSA) theory to the experimental data allowed the coefficients that determine the ionic strength dependence of the average effective radius to be obtained. With these coefficients, the conductivity of the MgSO 4 −H 2 SO 4 aqueous system can be reproduced up to 250 °C with an average absolute difference of 2.47%.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.006
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.004
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 head0.063
GPT teacher head0.285
Teacher spread0.222 · 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

Citations12
Published2006
Admission routes2
Has abstractyes

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