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Record W4322503692 · doi:10.1080/00268976.2023.2181647

Complexes of LiF and LiCl with LiF, LiCl, LiH, HF, HCl, H<sub>2</sub>, Li<sub>2</sub>, F<sub>2</sub>, Cl<sub>2</sub>, FCl, H<sub>2</sub>O and NH<sub>3</sub>. Structures, energies and vibrational frequencies

2023· article· en· W4322503692 on OpenAlexaff
Friedrich Grein

Bibliographic record

VenueMolecular Physics · 2023
Typearticle
Languageen
FieldChemistry
TopicInorganic Fluorides and Related Compounds
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsChemistryTriatomic moleculeDissociation (chemistry)Atomic physicsHydrofluoric acidBond-dissociation energyInorganic compoundInorganic chemistryPhysical chemistryPhysics

Abstract

fetched live from OpenAlex

Using coupled cluster calculations with quadruple-zeta basis sets optimal structures and dissociation energies were obtained for complexes of LiF and LiCl with LiH, HF, HCl, H2, Li2, F2, Cl2, FCl, H2O and NH3. Structures for LiF-LiF and LiCl-LiCl have D2h symmetry, while the structure of LiF-LiCl, as well as structures of LiF and LiCl with LiH, HF and Li2 are cyclic, with C2v symmetry. Most other systems have Cs symmetry, many in near-cyclic form. The largest dissociation energy of 21,304 cm−1 was obtained for LiF-LiF. Dissociation energies for LiCl-LiCl and for cyclic C2v systems range from about 10,000 to 20,000 cm−1. For cyclic systems with D2h and C2v symmetries harmonic vibrational frequencies cannot be related to monomer frequencies. Their higher frequencies, however, are close to frequencies of triatomic Li-Y-Li, with Y = H, F, Cl, and to frequencies of F-H-F-.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
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 score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0020.003
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.192
Teacher spread0.185 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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