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Record W4402274347 · doi:10.1080/00268976.2024.2400177

Dimers between the hydrides LiH, BeH <sub>2</sub> , BH <sub>3</sub> , CH <sub>4</sub> , NH <sub>3</sub> , H <sub>2</sub> O and HF

2024· article· en· W4402274347 on OpenAlexaff
Friedrich Grein

Bibliographic record

VenueMolecular Physics · 2024
Typearticle
Languageen
FieldChemistry
TopicMolecular Spectroscopy and Structure
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsChemistryAtomic physicsPhysics

Abstract

fetched live from OpenAlex

CCSD(T)/aug-cc-pVQZ calculations were performed on dimers of second-row hydrides. The hydrides can be divided into two groups, group X with LiH, BeH2, BH3, and group Y with CH4, NH3, H2O and HF. Dimers within group X are cyclic, dimers within group Y are hydrogen-bonded, and dimers of group X with group Y hydrides are main group-bonded. Cyclic dimers have the highest dissociation energies, from 11,847cm−1 for BeH2-BeH2 (with structure HBe-H2-BeH) up to 23,336 cm−1 for LiH-BH3 (with structure Li-H3-BH). Main group-bonded dimers have intermediate dissociation energies, the highest being 10,942 cm−1 for BH3-NH3 with B-N bonding, whereas hydrogen-bonded dimers have lower dissociation energies, the largest being 4302 cm−1 for NH3-HF with N-H bonding. Stable dihydrogen-bonded dimers were found for LiH-CH4 and BeH2-HF. Harmonic vibrational frequencies and infrared intensities of the BH3-NH3 dimer are compared with corresponding monomer values. Vibrational properties of the cyclic LiH-BH3 dimer are related to those of the BH4 anion.

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 score0.018
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.220
Teacher spread0.214 · 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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