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Record W3113956439 · doi:10.1016/j.rinp.2020.103765

Effect of transition-elements substitution on mechanical properties and electronic structures of B2-AlCu compounds

2020· article· en· W3113956439 on OpenAlexaff
Fenger Sun, Guowei Zhang, Heping Liu, Hong Xu, Yizheng Fu, Dongyang Li

Bibliographic record

VenueResults in Physics · 2020
Typearticle
Languageen
FieldEngineering
TopicIntermetallics and Advanced Alloy Properties
Canadian institutionsUniversity of Alberta
FundersKey Research and Development Projects of Shaanxi ProvinceFundamental Research Funds of China West Normal UniversityNatural Science Foundation of Shanxi Province
KeywordsMaterials scienceCovalent bondShear modulusDuctility (Earth science)Transition metalElectronic structureAnisotropyPoisson's ratioAtom (system on chip)Composite materialBond lengthIsotropyCrystallographyComputational chemistryChemistryCrystal structurePoisson distributionOrganic chemistryOpticsPhysics

Abstract

fetched live from OpenAlex

The first-principles calculations have been performed to predict the effect of transition-elements substitution on mechanical properties and electronic structures of B2-AlCu compounds. The results show that Zn, Cd, La and Hg are preferred to replace Al atom, while other transition elements are preferred to replace Cu atom. Among the mechanically stable AlCu-TM compounds, the resistance of axial deformation is greater than that of shear deformation. According to Poisson's ratio and Pugh criteria, all compounds show ductility. The compounds of Al8Cu7Fe, Al8Cu7Tc and Al8Cu7Re exhibit excellent Young's modulus and Vickers hardness in fourth, fifth and sixth periods, respectively. The bulk moduli of all AlCu-TM compounds indicate a low degree of isotropic deviation, while the shear moduli have a large anisotropy. The analysis of the electronic structures of Al8Cu7Fe, Al8Cu7Tc and Al8Cu7Re demonstrates that metal bond and covalent bond are mixed, and the properties of covalent bond between TM and Cu are weak.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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

Citations12
Published2020
Admission routes1
Has abstractyes

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