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Record W2992931996 · doi:10.1103/physrevb.101.235401

Interdimensional effects in a three-dimensional electron gas with a Rashba spin-orbit coupling interface

2020· article· en· W2992931996 on OpenAlexafffund
A. C. Zulkoskey, Rainer Dick, К. Tanaka

Bibliographic record

VenuePhysical review. B./Physical review. B · 2020
Typearticle
Languageen
FieldMaterials Science
TopicElectronic and Structural Properties of Oxides
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHamiltonian (control theory)Bound stateSpin–orbit interactionCondensed matter physicsWave functionInverseFermi gasHeterojunctionElectronRashba effectCoupling (piping)PhysicsQuantum mechanicsMaterials scienceSpintronicsGeometry

Abstract

fetched live from OpenAlex

We examine the bound-state and free-state contributions to the density of states in a three-dimensional electron gas with a two-dimensional interface or quantum well with Rashba spin-orbit coupling. The motivation for our research comes from the interest in materials that exhibit Rashba spin splitting of energy bands and the Edelstein and inverse Edelstein effects in quantum wells or interfaces. By modifying the Hamiltonian of three-dimensional electron gas models to include a two-dimensional component with Rashba spin-orbit coupling, we are able to calculate the bound-state and free-state wave functions and corresponding densities of states analytically. In the case of weak asymmetry across the interface, we find that one of the spin-split energy bands has an upper bound where it merges into a three-dimensional energy band. On the other hand, with strong asymmetry across the interface, only one spin-momentum-locked band exists as an interface energy band, which emerges from a three-dimensional energy band.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.320
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.324
Teacher spread0.310 · 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.

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

Citations0
Published2020
Admission routes2
Has abstractyes

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