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Record W2129145015 · doi:10.1109/icmens.2005.76

Modeling the Zinc Chelating Rosette Nanotube

2006· article· en· W2129145015 on OpenAlexaff
Fuqiang Ban, S. Kingsley, R. E. Johnson, Hicham Fenniri, Andriy Kovalenko

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicSupramolecular Self-Assembly in Materials
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHydrogen bondZincNanotubeChelationCrystallographyMaterials scienceStructural motifChemistryStereochemistryNanotechnologyCarbon nanotubeMoleculeInorganic chemistryOrganic chemistryBiochemistry

Abstract

fetched live from OpenAlex

Hybrid Guanine/Cytosine (G/spl and/C) is a well-established motif that forms nanotubular architectures via self-assembly process. Six G/C motifs form the rosette through hydrogen bonding and the rosettes stack on top of each other through /spl pi/ interaction to form the nanotubes. The chemo-physical properties of the tube are featured by the arrangement of the substituents on the G/C motifs. A zinc chelating pyridyl group attached to G/C motif has been synthesized and the metallated compound showed linearly aggregated bundles of nanotubes. Extensive molecular modeling work using molecular orbital theory at the PM5 semi-empirical level has been performed on the motif. It is found that nanotubes of the 3-pyridyl substituted G/spl and/C motif traps zinc ions between the pyridyl groups of two adjacent rosettes of a single tube. A model has been suggested to explain the linear aggregation of the nanotubes.

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)0.000
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0010.000
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 head0.013
GPT teacher head0.239
Teacher spread0.226 · 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
Published2006
Admission routes1
Has abstractyes

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