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Record W2045242933 · doi:10.1103/physrevb.74.245308

Influence of exchange interaction on spin-dependent transport through a single quantum dot doped with a magnetic ion

2006· article· en· W2045242933 on OpenAlexafffund
Fanyao Qu, P. Vasilopoulos

Bibliographic record

VenuePhysical Review B · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum and electron transport phenomena
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCondensed matter physicsCoulomb blockadeSpin polarizationMagnetizationQuantum dotQuantum tunnellingPhysicsSpin (aerodynamics)Magnetic fieldMagnetoresistanceSpin Hall effectFerromagnetismElectronExchange interactionVoltageQuantum mechanics

Abstract

fetched live from OpenAlex

A quantum theory of single-electron tunneling through a quantum dot (QD), doped with a ${\mathrm{Mn}}^{2+}$ ion and weakly coupled to ferromagnetic (FM) leads in the Coulomb blockade regime, is developed using the sequential tunneling approach and assuming that spin flips do not occur. It predicts a spin-injection-induced magnetization and a spin-dependent current. The spin polarization of the current and the tunneling magnetoresistance (TMR) can be well controlled by a bias voltage and strongly enhanced by the electron-Mn exchange interaction and the spin selectivity of the leads. An appropriate choice of these parameters yields a highly polarized current even when the FM source is not 100% polarized. Analytical expressions for the magnetization, spin-dependent current, spin polarization, and the TMR are derived for zero magnetic field. When the QD is subjected to a strong magnetic field, the numerical calculations predict an oscillatory behavior of the TMR as a function of the bias voltage.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.693

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 head0.013
GPT teacher head0.267
Teacher spread0.254 · 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 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

Citations18
Published2006
Admission routes2
Has abstractyes

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