MétaCan
Menu
Back to cohort
Record W2115044313 · doi:10.1149/2.007201jes

Transpassive Electrochemistry of Chalcopyrite Microparticles

2011· article· en· W2115044313 on OpenAlexafffund
Berny Rivera Vásquez, Gonzalo Viramontes Gamboa, David G. Dixon

Bibliographic record

VenueJournal of The Electrochemical Society · 2011
Typearticle
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaConsejo Nacional de Ciencia y Tecnología
KeywordsChalcopyriteSulfurSulfuric acidDissolutionElectrochemistryMineralOrthorhombic crystal systemAmorphous solidMaterials scienceChemical engineeringChemistryElectrodeMineralogyInorganic chemistryMetallurgyCrystallographyPhysical chemistryCopper

Abstract

fetched live from OpenAlex

Most of the electrochemistry of chalcopyrite reported in the literature has been done using either massive samples of the mineral or carbon paste electrodes. Despite its importance, reports of the electrochemical behavior of this mineral carried on individual microparticles are scarce. In this work the microelectrochemistry of chalcopyrite is studied in sulfuric acid solutions, focusing the study on its behavior at transpassive potentials. It is shown that microparticles with sizes typically found in chalcopyrite concentrates (20 to 100 μm) can be leached to completion in less than 4 minutes at room conditions under the influence of 1.2 V (SCE). According to EDX analysis, atomic absorption spectroscopy and ICP, around 88% of the sulfur in the mineral is transformed into a compact layer of amorphous plastic sulfur, while the rest is transformed to sulphate. The plastic sulfur gradually equilibrates to more stable S8-rings orthorhombic phase. This nearly instantaneous dissolution of chalcopyrite opens the window to the development of new technologies.

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)0.000
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 score0.009
Threshold uncertainty score0.253

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 head0.011
GPT teacher head0.198
Teacher spread0.186 · 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

Citations5
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueJournal of The Electrochemical SocietySame topicMetal Extraction and BioleachingFrench-language works237,207