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Record W2021187915 · doi:10.1109/pvsc.2010.5614128

P- to n-type conversion with sodium addition in bridgman-grown CuInSe<inf>2</inf>

2010· article· en· W2021187915 on OpenAlexaff
H.F. Myers, C.H. Champness, Yue Hua Tan, I. Shih

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsMcGill University
Fundersnot available
KeywordsAmpouleSodiumIngotMaterials scienceImpurityAnalytical Chemistry (journal)Hall effectNuclear chemistryType (biology)MineralogyChemistryElectrical resistivity and conductivityMetallurgyChromatographyPhysicsComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Ingots containing monocrystals of CuInSe <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> have been fabricated, using a Bridgman-growth procedure, in quartz ampoules, to which varying concentrations of sodium and excess selenium have been added. The CuInSe <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ingots were nominally p-type, but could be made n-type by adding sufficient sodium to the melts before growth. Small additions of excess Se required that greater additions of Na be introduced for the type conversion to occur. The occurrence of deposits found within the ampoules after growth was strongly indicative of conductivity type. Hall coefficient measurements were carried out on some samples, as were compositional analyses by SEM/EDX, revealing the grown material to be deficient in Cu, regardless of type. Additionally, analysis of the interior of an ingot uncovered no Na within the bulk material, but a significant quantity was found on the exterior surface. This marks the first time sodium was shown to reside only on surfaces, rather than within the bulk crystals, in melt-grown material where sodium was added before compound synthesis.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.009
GPT teacher head0.199
Teacher spread0.190 · 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; both teacher heads agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

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