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Record W2152269655 · doi:10.1109/wcpec.2006.279393

Defect Density in Doped Amorphous Layer and Interface of Silicon Heterojunction Devices Obtained with the Constant Photocurrent Method

2006· article· en· W2152269655 on OpenAlexaff
Barzin Bahardoust, Nazir P. Kherani, S. Costea, Davit Yeghikyan, S. Źükotyński

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceAmorphous siliconHeterojunctionPhotocurrentAmorphous solidSiliconOptoelectronicsDopingSubstrate (aquarium)Layer (electronics)Nanocrystalline siliconPhotoconductivityCrystalline siliconNanotechnologyCrystallographyChemistry

Abstract

fetched live from OpenAlex

We present here the application of CPM for the examination of defect density in the doped amorphous silicon layer and the amorphous-crystalline silicon interface of silicon heterojunction photovoltaic devices. CPM derived absorption and internal quantum efficiency (QE) spectra of the devices are measured. A simple model is proposed wherein the amorphous layer and the interface constitute one absorbing layer while the crystalline substrate forms the other absorbing layer. On the basis of this model, we obtain the combined defect density in the amorphous film and interface. Also, an estimate of the defect density at the interface is inferred using an independent measure of the defect density in a similar amorphous film

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 score0.032
Threshold uncertainty score0.485

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 head0.009
GPT teacher head0.233
Teacher spread0.223 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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