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Record W4396826642 · doi:10.5267/j.ccl.2024.3.003

Buckminsterfullerene fragments used as hydrogen carrier: Case of corannulene derivatives

2024· article· en· W4396826642 on OpenAlexvenueno aff
Siham Naima Derrar, Ossama Rafai

Bibliographic record

VenueCurrent Chemistry Letters · 2024
Typearticle
Languageen
FieldChemistry
TopicFullerene Chemistry and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryCorannuleneBuckminsterfullereneFullereneHydrogenComputational chemistryOrganic chemistryCombinatorial chemistryPhotochemistryStereochemistry

Abstract

fetched live from OpenAlex

Buckminsterfullerene fragments are interesting to use in hydrogen adsorption because of the suitable properties possessed by their concave structure. In the present paper, adsorption of hydrogen on the bowl-shaped corannulene and its derivatives is investigated. Both electron donor and electron acceptor are explored in the substitution and 28 derivatives are generated. DFT calculations are performed by means of WB97XD functional. The substitution number and the substitution nature of corannulene derivatives are analyzed through results based on several parameters. Besides bowl depth and equilibrium distance, also charge distribution and some reactivity indices, based on MEDT, are reported. Results show that a newly created charge distribution contributes to a better binding process.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.013
Threshold uncertainty score1.000

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)0.0030.000

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 head0.019
GPT teacher head0.283
Teacher spread0.264 · 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.

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
Published2024
Admission routes1
Has abstractyes

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