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Record W1983367541 · doi:10.1063/1.3357381

Structural morphology and Mn distribution in annealed InP coimplanted with P and Mn

2010· article· en· W1983367541 on OpenAlexaff
I. G. Bucsa, R. W. Cochrane, S. Roorda

Bibliographic record

VenueJournal of Applied Physics · 2010
Typearticle
Languageen
FieldMaterials Science
TopicZnO doping and properties
Canadian institutionsUniversité de MontréalRegroupement Québécois sur les Matériaux de Pointe
Fundersnot available
KeywordsAnnealing (glass)Materials scienceTransmission electron microscopyCrystalliteRutherford backscattering spectrometryAnalytical Chemistry (journal)EpitaxySecondary ion mass spectrometryParamagnetismIonCrystallographyChemistryThin filmCondensed matter physicsNanotechnologyLayer (electronics)Metallurgy

Abstract

fetched live from OpenAlex

We have studied the structural, chemical, and magnetic properties of InP following coimplantation with high energy P and Mn ions to fluences in excess of 1016 cm−2 and subsequent annealing above 600 °C. Rutherford backscattering spectrometry, x-ray diffraction, secondary ion mass spectrometer, and transmission electron microscopy measurements reveal that rapid thermal annealing causes only a partial epitaxial recrystallization of the layer amorphized by the implantations; the remaining region up to the surface crystallizes incoherently but retains most of the implanted Mn. Magnetic measurements demonstrate that fully three quarters of the Mn has been incorporated into MnP nanoparticles embedded into this polycrystalline InP region. The remaining Mn is most probably incorporated into the InP lattice but gives only a paramagnetic response that can be described by a simple Brillouin function at temperatures down to 5 K.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.201

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 head0.012
GPT teacher head0.226
Teacher spread0.214 · 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 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
Published2010
Admission routes1
Has abstractyes

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