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Record W4311268736 · doi:10.1139/cjp-2022-0250

A formula of Tietz potential parameters and applying for scandium iodine, nitrogen iodine, rubidium hydride, nitrogen, and carbon monoxide molecules

2022· article· en· W4311268736 on OpenAlexvenueno aff
Marwan Al‐Raeei

Bibliographic record

VenueCanadian Journal of Physics · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicCold Atom Physics and Bose-Einstein Condensates
Canadian institutionsnot available
Fundersnot available
KeywordsBond lengthDiatomic moleculeChemistryMoleculePhysicsAtomic physicsQuantum mechanics

Abstract

fetched live from OpenAlex

Tietz potential has several applications in the study of diatomic molecules in the discussion of vibrational states, especially in the quantum mechanics studies of the oscillations. Tietz potential has multiple forms; one of the Tietz potential forms has four parameters of the spectroscopic fitting. The spectroscopic fitting parameters of the Tietz potential are the Tietz potential equilibrium bond length, the Tietz potential depth, the width of the potential, and the parameter that controls the values as ratio of the depth of the well. This work focuses on finding a formula between the four parameters of the spectroscopic fitting employing some of principles of the statistical mechanics. Based on the derived formula, we discuss the relationship of the equilibrium bond length of Tietz potential interaction as a function to the absolute temperature. Based on this discussion, the equilibrium bond length of Tietz potential interaction varies slowly with absolute temperature. Besides, equilibrium bond length of Tietz potential varies linearly with the radius of the particles of the system. Also, the equilibrium bond length of Tietz potential varies with the Tietz potential depth, the width parameter of Tietz potential, and the fourth parameter of the Tietz potential. The formula of the Tietz interaction is applied to five different dimers or molecules. The five considered molecules are nitrogen dimer, scandium iodine dimer, nitrogen iodine dimer, rubidium hydride dimer, and carbon monoxide molecule. Generally, it is found that the equilibrium bond length of Tietz potential interaction values varies from 1 to 5 Å for different absolute temperature intervals. Besides, it is found that the scandium iodine dimer has the largest value of the equilibrium bond length of Tietz potential interaction, while carbon monoxide dimer has the lowest value of the equilibrium bond length of Tietz potential interaction. Generally, the derived formula of the four parameters of the spectroscopic fitting of Tietz potential can be applied for multiple molecules and dimers.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score0.912

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.010
GPT teacher head0.201
Teacher spread0.192 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations4
Published2022
Admission routes1
Has abstractyes

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