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Record W1766448249 · doi:10.1063/1.2730090

Scanning Gate Imaging of Transport within an InGaAs QPC

2007· article· en· W1766448249 on OpenAlexaff
Nobuyuki Aoki, Carlo Requião da Cunha, Takahiro Morimoto, R. Akis, D. K. Ferry, Y. Ochiai

Bibliographic record

VenueAIP conference proceedings · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Semiconductor Devices and Circuit Design
Canadian institutionsMcGill University
Fundersnot available
KeywordsQuantum point contactScanning gate microscopyConductanceGallium arsenidePhysicsQuantumInterference (communication)GaussianCondensed matter physicsOptoelectronicsMaterials scienceQuantum wellOpticsScanning electron microscopeQuantum mechanicsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Quantum transport in a quantum point contact of InGaAs has been successfully visualized using a low temperature scanning gate microcopy. The images involves three kinds of features: (i) conductance fluctuations due to quantum interference, (ii) characteristic peaks corresponding to the propagating mode, (iii) a static‐peak pattern observed just before the pinch‐off condition. Furthermore, the fluctuations in the image reveal that the area distribution has a peak at around 2.5 × 104 nm2 and follows Gaussian unitary ensemble. It is consistent with a distribution of frequency components of the magnetoconductance fluctuations of the quantum point contact.

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: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.894

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 communication0.0000.001
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 head0.026
GPT teacher head0.256
Teacher spread0.231 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

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