MétaCan
Menu
Back to cohort
Record W1978435728 · doi:10.1063/1.1315627

Principles for the design and operation of a molecular wire transistor

2000· article· en· W1978435728 on OpenAlexaff
Eldon Emberly, George Kirczenow

Bibliographic record

VenueJournal of Applied Physics · 2000
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTransistorMaterials scienceMoleculeLayer (electronics)AdsorptionOptoelectronicsThin-film transistorConjugated systemNanotechnologyVoltageChemical physicsChemistryElectrical engineeringPolymerComposite material

Abstract

fetched live from OpenAlex

We explore theoretically the fundamental principles of design and operation of a three-terminal molecular wire transistor that consists of a single π-conjugated carbon chain molecule with thiol end groups (CnHn−2S4), self-assembled on the cleaved edge of a multilayer of alternating thin gold and insulating films. The ends of the chain bond to two outer gold layers that act as source and drain, and the chain bridges a third (inner) gold layer that acts as a gate. We show that transistor action should occur in this device if sulfur atoms are adsorbed on the surface of the gold gate. The sulfur atoms acquire charge as the gate voltage is increased, thereby enhancing the interaction between the gate and molecule and creating a strong potential barrier that hinders electron flow along the molecular wire.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.194
Teacher spread0.184 · 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 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

Citations18
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Applied PhysicsSame topicMolecular Junctions and NanostructuresFrench-language works237,207