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Record W2010170232 · doi:10.1021/ie020163r

Estimation of Nucleation and Growth Kinetics of Ammonium Sulfate from Transients of a Cooling Batch Seeded Crystallizer

2002· article· en· W2010170232 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

VenueIndustrial & Engineering Chemistry Research · 2002
Typearticle
Languageen
FieldMaterials Science
TopicCrystallization and Solubility Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsSupersaturationSeedingNucleationAmmonium sulfateKineticsCrystal growthChemistryKinetic energyThermodynamicsCrystal (programming language)Growth rateMaterials scienceBiological systemChromatographyCrystallographyPhysicsMathematicsComputer science

Abstract

fetched live from OpenAlex

Nucleation and growth kinetics of ammonium sulfate are determined using a 1.5-L cooling batch seeded crystallizer, a rigorous mathematical model of the process, and a nonlinear optimization program. Supersaturation and crystal size distribution are employed as the major outputs of the model in the optimization objective function. The former is estimated by an online density meter, and the latter is measured by a Malvern Mastersizer. The size-independent growth kinetic is shown to lack the necessary parameters to accurately fit the experimental data. The information gathered from a large number of measurements in this study indicates that ammonium sulfate possesses a size-dependent growth kinetic. It is shown that a second-order size-dependent growth model reasonably describes the experimental measurements, while a combination of a second-order size dependence for small and medium crystals and a slightly lower dependence (order of 1.85) for large crystals results in the least error between experimental and simulated results.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.425

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 science0.0000.000
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 head0.084
GPT teacher head0.295
Teacher spread0.211 · 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