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Record W4386854580 · doi:10.1149/ma2023-01121259mtgabs

(Invited) Metallofullerenes, Fullerenes, and Fullertubes: Prediction of Structure Based on Anisotropic Polarizability and Chromatographic Retention Behavior

2023· article· en· W4386854580 on OpenAlexaff
Xiaoyang Liu, Emmanuel Bourret, Kevin Cover, Steven Stevenson, Harry C. Dorn

Bibliographic record

VenueECS Meeting Abstracts · 2023
Typearticle
Languageen
FieldChemistry
TopicFullerene Chemistry and Applications
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPolarizabilityFullereneDipoleChemistryAnisotropyMoleculeComputational chemistryChemical physicsOrganic chemistryPhysicsOptics

Abstract

fetched live from OpenAlex

Today, computed structures of fullerenes and fullertubes are readily obtained from Fowler’s spiral program.1 In addition, DFT parameters for fullerenes and fullertubes are readily calculated for these molecules, such as, UV-vis, Raman, and Polarizability. Especially important in this regard is their polarizability and anisotropic polarizability because they are related to the experimental HPLC chromatographic retention time and capacity factor, k′. Kappes and coworkers have mathematically described the effect of polarizabilities, dipole moments, and ionization potentials on these molecules.2 For fullerenes and metallofullerenes, the polarizability is directly proportional to the experimental chromatographic retention parameter, ln(tr/to). Further work by Sabirov3 indicates that anisotropic polarizability is an even better parameter for establishing subtle differences in fullerene structure. In 2021, Stevenson’s laboratory discovered a chemical separation approach that removes from consideration spheroidal and ellipsoidal fullerene cages leaving only tubular fullerenes or “fullertubes.”4 In this presentation, we will show examples where structure determination can begin and end with chromatographic retention time data coupled with DFT calculated parameters for pristine fullertubes, C100-C180. References: Fowler, Patrick W., and D. E. Manolopoulos. An Atlas of Fullerenes. Clarendon Press-Oxford, 1995. Fuchs, D.; Rietschel, H.; Michel, R. H.; Fischer, A.; Weis, P.; Kappes, M. M. Extraction and chromatographic elution behavior of endohedral metallofullerenes: Inferences regarding effective dipole moments. J. Phys. Chem. 1996, 100 (2), 725−72 Sabirov, D. S. The C70 Fullerene Adducts with Low Anisotropy of Polarizability are More Efficient Electron Acceptors for Organic Solar Cells. The Minimum Anisotropy Hypothesis for Efficient Isomer-Free Fullerene-Adduct Photovoltaics. J. Phys. Chem. 2016, 120 (43), 24667−24674. Stevenson, S.; Liu, X.; Sublett, D. M., Jr; Koenig, R. M.; Seeler, T. L.; Tepper, K. R.; Franklin, H. M.; Wang, X.; Huang, R.; Feng, X.;et al, Semiconducting and Metallic [5,5] Fullertube Nanowires: Characterization of Pristine D5h(1)-C90 and D5d(1)-C100. J. Am. Chem. Soc., 2021, 143 (12), 4593−4599.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.005

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 head0.017
GPT teacher head0.227
Teacher spread0.209 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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