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Record W2972312317 · doi:10.1088/1361-6528/ab6dfe

Controllable p–n junctions in three-dimensional Dirac semimetal Cd <sub>3</sub> As <sub>2</sub> nanowires

2020· article· en· W2972312317 on OpenAlexafffund
Janice Ruth Bayogan, Kidong Park, Zhuo Bin Siu, Sung Jin An, Chiu-Chun Tang, Xiao-Xiao Zhang, Man Suk Song, Jeunghee Park, M. B. A. Jalil, Naoto Nagaosa, Kazuhiko Hirakawa, Christian Schönenberger, Jungpil Seo, Minkyung Jung

Bibliographic record

VenueNanotechnology · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicTopological Materials and Phenomena
Canadian institutionsUniversity of British Columbia
FundersCore Research for Evolutional Science and TechnologyCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaNational Research Foundation of KoreaSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungH2020 European Research CouncilJapan Society for the Promotion of ScienceMinistry of Science, ICT and Future PlanningMinistry of Education, Culture, Sports, Science and TechnologyMinistry of Education - SingaporeNational Research Foundation SingaporeCanadian Institute for Advanced Research
KeywordsAmbipolar diffusionNanowireConductanceMaterials scienceCondensed matter physicsQuantum dotSemimetalRealization (probability)Magnetic fieldDirac (video compression format)Gate voltageElectronNanotechnologyOptoelectronicsVoltagePhysicsTransistorQuantum mechanics

Abstract

fetched live from OpenAlex

nanowire with two recessed bottom gates. The device exhibits four different conductance regimes with gate voltages, the unipolar (n-n and p-p) and bipolar (n-p and n-p) regimes, where p-n junctions are formed. The conductance in the p-n junction regimes decreases drastically when a magnetic field is applied perpendicular to the nanowire. In these regimes, the device shows quantum dot behavior, whereas the device exhibits conductance plateaus in the n-n regime at high magnetic fields. Our experiment shows that the ambipolar tunability of DSM nanowires can enable the realization of quantum devices based on quantum dots and electron optics.

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 score0.001
Threshold uncertainty score0.002

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.211
Teacher spread0.201 · 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

Citations6
Published2020
Admission routes2
Has abstractyes

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