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Fractional quantization of Hall resistance as a consequence of\n mesoscopic feedback

2005· preprint· en· W4298199963 on OpenAlexaff
Artur Sowa

Bibliographic record

VenuearXiv (Cornell University) · 2005
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicQuantum and electron transport phenomena
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsMesoscopic physicsQuantum Hall effectQuantization (signal processing)PhysicsFilling factorMagnetic fluxQuantum mechanicsCondensed matter physicsMagnetic fieldNonlinear systemMathematical physicsMathematics

Abstract

fetched live from OpenAlex

A nonlinear single-particle model is introduced, which captures the\ncharacteristic of systems in the quantum Hall regime. The model entails the\nmagnetic Shr\\"odinger equation with spatially variable magnetic flux density.\nThe distribution of flux is prescribed via the postulates of the mesoscopic\nmechanics (MeM) introduced in my previous articles [cf. J. Phys. Chem. Solids,\n65 (2004), 1507-1515; J. Geom. Phys., Vol. 55/1 (2005), 1-18]. The model is\nfound to imply exact integer and fractional quantization of the Hall\nconductance. In fact, Hall resistance is found to be $R_H =\n\\frac{h}{2e^2}\\frac{M}{N}$ at the filling factor value $N/M$. The assumed\ngeometry of the Hall plate is rectangular. Special properties of the magnetic\nShr\\"odinger equation with the mesoscopic feedback loop allow us to demonstrate\nquantization of Hall resistance as a direct consequence of charge and flux\nquantization. I believe results presented here shed light at the overall status\nof the MeM in quantum physics, confirming its validity.\n

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.193
Teacher spread0.159 · 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".

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Citations0
Published2005
Admission routes1
Has abstractyes

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