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Record W4394833936 · doi:10.1139/cjp-2024-0017

Theoretical prediction of hexagonal ternary phase Mo<sub>2</sub>Ga<sub>2</sub>C and its evolution to layered carbide Mo<sub>2</sub>C

2024· article· en· W4394833936 on OpenAlexvenueno aff
Shouxin Cui, Biao Ma, Wenxia Feng, Jun Li

Bibliographic record

VenueCanadian Journal of Physics · 2024
Typearticle
Languageen
FieldMaterials Science
TopicMXene and MAX Phase Materials
Canadian institutionsnot available
FundersNatural Science Foundation of Shandong ProvinceLiaocheng University
KeywordsTernary operationCrystallographyStructural stabilityCrystal structureCarbideBond lengthUltimate tensile strengthMaterials sciencePhysicsThermodynamicsComposite materialChemistry

Abstract

fetched live from OpenAlex

The stable structure of Mo2Ga2C was determined by using a combination of crystal structure searching technique and first-principles calculations. Mo2Ga2C crystallizes a hexagonal layered structure of space group P63/ m m c (No. 194), which is the typical structure of conventional M n+1AX n phases. The dynamical and mechanical stability of the predicted structure is confirmed by the phonon dispersion and elastic constants, respectively. The structural stability of Mo2Ga2C is investigated by analyzing the stability of chemical bonds under tensile and shear deformations. Layered structural stability of Mo2Ga2C is determined by the strength of covalent Mo–Ga bond under tensile and shear strains. The stress–strain relationships of Mo2Ga2C are evaluated and compared with Mo2GaC. Two-dimensional layered Mo2C can be obtained by the selective removal of Ga atoms from Mo2Ga2C. Theoretical prediction of monolayer Mo2C is metallic, and has potential application as anode and thermoelectric material.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.014
GPT teacher head0.240
Teacher spread0.226 · 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 designSimulation or modeling
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

Citations1
Published2024
Admission routes1
Has abstractyes

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