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Record W4385341321 · doi:10.1021/acs.chemmater.3c01142

Metal Deficiency Tailored by the 18-Electron Rule Stabilizes Metal-Based Inorganic Compounds

2023· article· en· W4385341321 on OpenAlexaff
Ashutosh Kumar Singh, Dundappa Mumbaraddi, Vidyanshu Mishra, Soumyabrata Roy, C. P. Vinod, Sebastian C. Peter

Bibliographic record

VenueChemistry of Materials · 2023
Typearticle
Languageen
FieldMaterials Science
TopicHeusler alloys: electronic and magnetic properties
Canadian institutionsUniversity of Alberta
FundersJawaharlal Nehru Centre for Advanced Scientific ResearchDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsCrystal structureValence (chemistry)CrystallographyElectronic structureDensity functional theoryX-ray photoelectron spectroscopyTransition metalIntermetallicCrystal structure predictionValence electronMetalMaterials scienceChemistrySingle crystalAbsorption spectroscopyChemical physicsElectronComputational chemistryPhysicsNuclear magnetic resonanceAlloy

Abstract

fetched live from OpenAlex

The 18-electron (18-e – ) rule is typically restricted to predicting the stability of transition-metal-based complexes. Herein, we report the use of the 18-e – to predict the stability in a family of intermetallics MNiSn (M = V, Cr, Fe, and Co) crystallizing in the Co 1.75 Ge structure type. Site deficiencies at the M site obtained from single-crystal X-ray diffraction are understood as attaining a stable noble gas electronic configuration. The density functional theory -based structure calculation confirms that the deficient structure is more stable than the ideal occupation available at the crystal lattice. MnNiSn, which crystallizes in the half-Heusler crystal structure, depicts the role of covalent radii of the constituent elements in determining the crystal structure. Using X-ray absorption spectroscopy and X-ray photoelectron spectroscopy, the local structure of the above-mentioned compounds was also elucidated, supporting the role of deficiency tuned valence fluctuation to attain a 18-e – configuration that eventually leads to the formation of stable compounds.

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 score0.002

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 head0.016
GPT teacher head0.232
Teacher spread0.217 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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