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Record W2005934644 · doi:10.1103/physrevb.64.104508

Nonlinear transport theory for hybrid normal-superconducting devices

2001· article· en· W2005934644 on OpenAlexafffund
Jian Wang, Yadong Wei, Hong Guo, Qing‐Feng Sun, Tsung-han Lin

Bibliographic record

VenuePhysical review. B, Condensed matter · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaHong Kong GovernmentPeking University
KeywordsSuperconductivityNonlinear systemCondensed matter physicsPhysicsMaterials scienceQuantum mechanics

Abstract

fetched live from OpenAlex

We report a theory for analyzing nonlinear DC transport properties of mesoscopic or nanoscopic normal-superconducting (NS) systems. Special attention was paid such that our theory satisfies gauge invariance. At the nonlinear regime, our theory allows the investigation of a number of important problems: for NS hybrid systems we have derived the general nonlinear current-voltage characteristics in terms of the scattering Green's function, the second-order nonlinear conductance at the weakly nonlinear regime, and nonequilibrium charge pileup in the device that defines the electrochemical capacitance coefficients.

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: 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
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.298
Teacher spread0.279 · 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

Citations28
Published2001
Admission routes2
Has abstractyes

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