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Record W2020334206 · doi:10.1021/ct600087c

Electron Transmission through Aromatic Molecules

2006· article· en· W2020334206 on OpenAlexaff
Matthias Ernzerhof, Hilke Bahmann, François Goyer, Min Zhuang, Philippe Rocheleau

Bibliographic record

VenueJournal of Chemical Theory and Computation · 2006
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsElectronMoleculeMolecular electronicsObservableRing (chemistry)Magnetic fieldElectrical conductorAtomic physicsCurrent (fluid)PhysicsMolecular physicsChemical physicsChemistryQuantum mechanics

Abstract

fetched live from OpenAlex

A prominent feature of aromatic compounds is the ring current that can be observed indirectly in nuclear magnetic resonance experiments. This current is generated by an external magnetic field. In molecular electronics, molecules serve as conductors, and they are connected to metallic contacts that act as electron sources and electron sinks. We show that ring currents can also be found in molecular electronic devices containing cyclic π-electron systems. The circular currents are related to interference phenomena that can render the molecule impenetrable to electrons. While only small currents pass through the molecule, large internal circular currents are stimulated. We conjecture that the internal currents should result in experimentally observable magnetic moments.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.027

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 studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.003
GPT teacher head0.206
Teacher spread0.203 · 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

Citations81
Published2006
Admission routes1
Has abstractyes

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