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Record W4396601806 · doi:10.1002/9781119896890.ch6

Complexity of Chalcopyrite Mineral Affecting Copper Recovery During Leaching

2024· other· en· W4396601806 on OpenAlexaff
Kolela J. Nyembwe, F.B. Waanders, Martin Mkandawire, Bhekie B. Mamba, Elvis Fosso‐Kankeu

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsCape Breton University
Fundersnot available
KeywordsChalcopyriteLeaching (pedology)CopperMineralGeochemistryChemistryGeologyEnvironmental scienceMetallurgyMaterials scienceSoil science

Abstract

fetched live from OpenAlex

Regardless of the media/solvent used, chalcopyrite (CuFeS 2 ) is highly refractory and is considered to be one of the most difficult to leach. Its leaching is slow and incomplete owing to the diffusion barrier formed that prevents further attack of the leaching solution (solvent) on the unreacted CuFeS 2 mineral surface. The nature and composition of this barrier, together with the dissolution mechanism, remain controversial. There are three hypotheses for the structure of the formed diffusion barrier. The first hypothesis is that elemental sulfur (S o ), formed during leaching, prevents further diffusion of the reactant from reaching the un-leached chalcopyrite. The second hypothesis, commonly cited, ascribes the poor leaching to the formation of Cu-rich polysulfides, promoted by Fe preferential dissolution occurring through solid-state transformation (metal-deficient sulfide). The third hypothesis blames iron-precipitates including jarosite, jarosite-like species, and goethite. This book chapter aims to explore the various challenges related to the mineralogy of chalcopyrite that affect the recovery of copper during the leaching process.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.135
Threshold uncertainty score0.998

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.253
Teacher spread0.225 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2024
Admission routes1
Has abstractyes

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