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Record W4416451954 · doi:10.1080/15422119.2025.2588165

Pyrometallurgical and Electrochemical Routes for Synthesis and Refining of Metallic Vanadium

2025· article· en· W4416451954 on OpenAlex
Dapeng Zhong, Jin Wang, Wenhao Yu, Qingyun Huang, Wei Lv, Xuewei Lv

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

VenueSeparation and Purification Reviews · 2025
Typearticle
Languageen
FieldEngineering
TopicMetal Extraction and Bioleaching
Canadian institutionsUniversity of Toronto
FundersFundamental Research Funds for the Central UniversitiesNatural Science Foundation Project of Chongqing, Chongqing Science and Technology CommissionNational Natural Science Foundation of China
KeywordsRefining (metallurgy)ElectrochemistryVanadiumMetalNickelPyrometallurgy

Abstract

fetched live from OpenAlex

Vanadium, a critical refractory metal, is essential in advanced industries due to its exceptional mechanical properties. However, synthesizing high-purity vanadium remains a challenge, with the conventional aluminothermic reduction-electron beam melting technique dominating industrial productions despite its high energy consumption and suboptimal recovery rates with > 20% vanadium loss. This review systematically evaluates the calciothermic, aluminothermic, and magnesiothermic reduction mainstream synthesis methods and the molten salt electrolysis, iodide decomposition, and solid-state electrotransport refining techniques. Thermodynamic principles, process pathways, and impurity control mechanisms are elucidated, highlighting the trade-offs between purity (up to 99.999%), energy efficiency, and scalability. While the aluminothermic reduction technique combined with the electron beam melting remain the sole large-scale industrial process, emerging electrochemical approaches and molten salt-assisted reductions show promise for sustainable production. Key challenges include minimizing equipment contamination, enhancing recovery rates, and reducing capital costs. This paper also provides recommendations to accelerate the transition toward sustainable, high-recovery vanadium production for next-generation applications.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.283

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 head0.025
GPT teacher head0.298
Teacher spread0.273 · 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