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Record W4410308227 · doi:10.1002/qua.70057

Theoretical Study of Be<sup>2+</sup>·(<scp>N<sub>2</sub></scp>)<sub>n</sub> Clusters (<i>n</i> = 1–4): Structural Configurations, Binding Energies, and Electrostatic Interactions

2025· article· en· W4410308227 on OpenAlexaff
Mohammed I. Alomari, Jamal N. Dawoud, Taher S. Ababneh, Eyad A. Younes, Samer M. Hamzeh

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2025
Typearticle
Languageen
FieldChemistry
TopicInorganic Fluorides and Related Compounds
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsBinding energyAtomic physicsChemistryPhysicsCrystallography

Abstract

fetched live from OpenAlex

ABSTRACT The structures and binding energies of the Be2+·(N2)n complexes have been determined utilizing the CCSD/aug‐cc‐pVTZ computational method. For the mono‐ and di‐ligated complexes, a linear configuration was observed, while tri‐ and tetra‐ligated complexes exhibited trigonal planar and tetrahedral geometries, respectively. The sequential bond dissociation energies for these complexes were calculated, revealing a specific hierarchy: Be2+·N2 > Be2+·(N2)2 > Be2+·(N2)3 > Be2+·(N2)4. This sequence corresponds to the variations in the strength of the ion‐quadrupole interaction energies present in these complexes. Bond analysis of these complexes indicates that σ‐donation is the primary factor influencing the observed trend in the sequential bond dissociation energies.

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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.006
GPT teacher head0.245
Teacher spread0.239 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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