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Record W2315890359 · doi:10.1021/je500096r

High Temperature Diffusion Coefficients for O<sub>2</sub>, H<sub>2</sub>, and OH in Water, and for Pure Water

2014· article· en· W2315890359 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2014
Typearticle
Languageen
FieldEngineering
TopicSubcritical and Supercritical Water Processes
Canadian institutionsTrent University
Fundersnot available
KeywordsChemistrySupercritical fluidDiffusionThermodynamicsAqueous solutionPolynomialLogarithmAtmospheric temperature rangeAnalytical Chemistry (journal)Physical chemistryPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

Classical molecular dynamics simulations using simple point charge water potential were performed to obtain high temperature diffusion coefficients for pure water, and for O 2, H 2, and OH radical in an infinitely dilute aqueous solution. The simulations were carried out at temperatures ranging from ambient to 973 K and system densities from 0.1 to 1.0 g cm –3 . A logarithmic density expansion of a hard sphere collision model was used to formulate a polynomial fit to the diffusion data and four sets of fitting coefficients are presented. Fourteen coefficients were sufficient to accurately reproduce mass transport coefficients in water at high temperatures and at supercritical conditions. Our parametric fits can be used to estimate diffusion coefficients for these species in a wide range of thermodynamic states, including those relevant to the GEN IV supercritical water cooled nuclear reactor.

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.

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 score0.026
Threshold uncertainty score0.783

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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