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A New Type Diluted Magnetic Semiconductor Li(Zn,Mn)As

2012· article· en· W1968317723 on OpenAlexaff
Zheng Deng, Q Q Liu, X C Wang, Jie Zhu, S. M. Feng, Lingjie Chen, Richeng Yu, Carlos J. Arguello, T. Goko, Fanlong Ning, Junmeng Zhang, Yuyan Wang, A. A. Aczel, Timothy J. S. Munsie, T. J. Williams, G. M. Luke, T. Kakeshita, S. Uchida, Wataru Higemoto, T. Ito, Bo Gu, Sadamichi Maekawa, G. D. Morris, Yohei Uemura, Chao Jin

Bibliographic record

VenueJournal of Physics Conference Series · 2012
Typearticle
Languageen
FieldMaterials Science
TopicZnO doping and properties
Canadian institutionsTRIUMFMcMaster University
Fundersnot available
KeywordsMagnetic semiconductorCoercivityCondensed matter physicsFerromagnetismMaterials scienceSpinsDopantMagnetizationDopingAnalytical Chemistry (journal)ChemistryMagnetic fieldPhysics

Abstract

fetched live from OpenAlex

Diluted magnetic semiconductor (DMS) exhibits unique magnetic and transport properties. The well known DMS is (Ga,Mn)As that is in thin film form so far only. However Mn dopant brings both localized spins and carriers in Ga 1−x Mn x As, result in the lack of independent control of local moment and carrier densities. It is therefore difficult to study or control charge and spin variable quantitatively. Here we report that an individual control of carrier and spin can be realized in a new type of DMS for Mn-doped I-II-V type semiconductor Li 1+y Zn 1-x Mn x As in bulk. The Li(Zn,Mn)As polycrystalline samples showed ferromagnetic transition temperature (T C ) up to 50K and spontaneous magnetization up to 2.9 μ B per Mn. The other advantage of new DMS over III-V DMSs is the availability of bulk specimens so far for these type of DMS Moreover the new DMS shows a soft magnetic behavior with the coercive force < 100Oe which would be promising for prospective application. Muon spin relaxtion (μSR) probed static magnetic order of full volume in the ferromagnetic region. Electrical transport properties showed Li 1+y (Zn,Mn)As (y = 0.05–0.1) compounds have p-type carriers since excess Li substitutes Zn sites presumably[1].

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 score0.003

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 head0.046
GPT teacher head0.262
Teacher spread0.216 · 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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