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Record W2038901105 · doi:10.1021/nl060040m

A New Approach to the Realization and Control of Negative Differential Resistance in Single-Molecule Nanoelectronic Devices:  Designer Transition Metal−Thiol Interface States

2006· article· en· W2038901105 on OpenAlexaff
Hugh Dalgleish, George Kirczenow

Bibliographic record

VenueNano Letters · 2006
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTransition metalMoleculeAtomic orbitalChemical physicsChemistryMolecular orbitalThiolAb initioNanotechnologyRealization (probability)Interface (matter)Bridging (networking)Differential (mechanical device)Materials scienceTransition stateComputational chemistryPhysicsComputer scienceElectronCatalysisQuantum mechanicsOrganic chemistry

Abstract

fetched live from OpenAlex

On the basis of ab initio and semiempirical calculations, we predict single alkane dithiolate molecules bridging transition metal nanoelectrodes (including Pd/Rh, Pt/Rh, and Pt/Pt) to exhibit negative differential resistance (NDR). The mechanism is resonant conduction via interface states arising from hybridization between molecular thiol groups and transition metal d orbitals. We show how the NDR realized in this new way can be controlled by tailoring interface state properties through appropriate choice of nanoelectrode transition metals and surface structures.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.665
Threshold uncertainty score0.395

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 head0.178
Teacher spread0.173 · 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 designBench or experimental
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

Citations52
Published2006
Admission routes1
Has abstractyes

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