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Record W4283651508 · doi:10.1016/j.physe.2022.115347

Inter-Landau level transfer in valence band of In0.53Ga0.47As/InP quantum well

2022· article· en· W4283651508 on OpenAlexafffund
M. A. T. Patricio, M. D. Teodoro, G. M. Jacobsen, Ray LaPierre, Yu.A. Pusep

Bibliographic record

VenuePhysica E Low-dimensional Systems and Nanostructures · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsMcMaster University
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoNatural Sciences and Engineering Research Council of CanadaCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsLandau quantizationCondensed matter physicsShubnikov–de Haas effectPhysicsRecombinationMagnetic fieldQuantum wellValence bandPolarization (electrochemistry)Spin polarizationQuantum oscillationsElectronQuantum mechanicsBand gapChemistry

Abstract

fetched live from OpenAlex

The recombination dynamics of photoexcited holes is studied in an In0.53Ga0.47As/InP quantum well in a quantizing magnetic field. The experimental data are analyzed in a framework of the four level system formed in the valence band by Landau levels. As a result, the characteristic times including the inter-Landau level transfer time, the spin relaxation time, and the interband recombination time are obtained. The inverse population of higher energy Landau level is found due to the slow transfer between Landau levels as compared to the fast interband recombination. It is demonstrated that optical spin injection led to about 50% spin polarization in the inversely populated Landau level, while the lowest energy Landau level is unpolarized.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.231
Teacher spread0.218 · 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 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

Citations1
Published2022
Admission routes2
Has abstractno

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