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Record W4408597696 · doi:10.5539/ijc.v17n1p99

Task Specific Ionic Liquids for the Recovery of Rare Earth Element Europium from Coal Ash

2025· article· en· W4408597696 on OpenAlexvenueno aff
Adango Miadonye, Mumuni Amadu

Bibliographic record

VenueInternational Journal of Chemistry · 2025
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryEuropiumCoalIonic bondingTask (project management)Alkaline earth metalRare earthRare-earth elementInorganic chemistryMineralogyAlkali metalIonOrganic chemistry

Abstract

fetched live from OpenAlex

To meet the anticipated global transition to cleaner energy alternatives, the demand for critical metals must be met in all economies. Among the European Union designated critical metals, Rare Earth Elements (REEs) are the ones the supply of which has a current global over-dominance. Notably, Europium (Eu), a REE with a unique electronic structure that renders it critical for the manufacture of high precision luminescent and magnetic equipment has a current limited supply that needs to be addressed. To achieve this objective, its production from sources other than conventional geological deposits must be considered, and the potential for production using coal ash deposits from coal fired power plants deposit is the focus of the present review. Therefore, we have reviewed extensive literature to show the enormous potential of Task Specific Ionic Liquids (TSILs) for the recovery of Europium from coal ash deposits. Accordingly, we have shown that given the versatility in the design and manufacture of TSILs, the potential for the diversification of Europium supply from coal ash to mitigate over-monopoly in the supply chain is attractive and must be explored.

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 score0.345
Threshold uncertainty score0.413

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 head0.010
GPT teacher head0.256
Teacher spread0.247 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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