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Record W2113764612 · doi:10.1103/physrevb.62.10451

Multiterminal molecular wire systems: A self-consistent theory and computer simulations of charging and transport

2000· article· en· W2113764612 on OpenAlexaff
Eldon Emberly, George Kirczenow

Bibliographic record

VenuePhysical review. B, Condensed matter · 2000
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMolecular wireScatteringMetalMaterials scienceMoleculeMolecular electronicsElectronChain (unit)TransistorLayer (electronics)VoltageCondensed matter physicsChemistryMolecular physicsNanotechnologyPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

We present a self-consistent method for the evaluation of the electronic current flowing through a multiterminal molecular wire. The method is based on B\"uttiker-Landauer theory, which relates the current to one-electron scattering probabilities. The scattering problem is solved using a tight-binding form for Schr\"odinger's equation that incorporates a self-consistent evaluation of the electrostatic potential in the region of the molecular wire. We apply the method to a three-terminal molecular wire connected to metallic leads. The molecular wire is a $\ensuremath{\pi}$-conjugated carbon chain with thiol end groups, self-assembled on the cleaved edge of a multilayer of alternating thin metal and insulating films. The ends of the chain bond to two outer metal layers that act as source and drain, and the chain bridges a third (inner) metal layer that acts as a gate. We show that transistor action should occur in this device if on the surface of the metal gate there are adsorbed atoms that 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. We find that electronic solitons play an important role in the response of this system to applied voltages.

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 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 score0.734
Threshold uncertainty score0.510

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)0.0000.000

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 head0.004
GPT teacher head0.226
Teacher spread0.222 · 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.

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

Citations68
Published2000
Admission routes1
Has abstractyes

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