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Record W4403258524 · doi:10.53063/synsint.2024.43231

Synthesis of molybdenum carbide using mechanochemical and thermal approaches

2024· article· en· W4403258524 on OpenAlexvenueno aff
Pegah Mohazab, Samad Ghasemi, Akbar Heidarpour

Bibliographic record

VenueSynthesis and Sintering · 2024
Typearticle
Languageen
FieldEngineering
TopicAdvanced materials and composites
Canadian institutionsnot available
Fundersnot available
KeywordsMolybdenumCarbideMaterials scienceMetallurgyThermalThermodynamicsPhysics

Abstract

fetched live from OpenAlex

The carbothermic reduction of MoS2 using Mg, an efficient sulfur scavenger, was carried out by two very different routes, i.e., mechanochemical reaction and heat treatment. The thermodynamic calculation results show that Mo2C and MgS are the phases formed when the elements are combined, and carbothermic reduction of molybdenite takes place. XRD analysis data indicates no reaction occurred at 1, 2, and 5 h of milling by the mechanochemical method, and the initial phases MoS2, Mg, and C were identified. On the other hand, after 7 hours of milling, Mo2C and MgS phases finally emerged. Through heat treatment, the desired Mo2C and MgS phases were successfully prepared with the crystal diffraction spots obvious at 700, 800, and 900 °C, respectively. Both of these methods produced powders which were then washed with a 10% 1M HCl solution, and as a result, a reasonable yield of pure molybdenum carbide was obtained.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.021
GPT teacher head0.205
Teacher spread0.185 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

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