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Record W2041999323 · doi:10.1116/1.1722487

Monocrystalline CuInSe2 photovoltaic cell of superior performance

2004· article· en· W2041999323 on OpenAlex
Hongxia Du, I. Shih, C.H. Champness

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2004
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsMcGill University
FundersNational Renewable Energy LaboratoryNatural Sciences and Engineering Research Council of Canada
KeywordsMonocrystalline siliconMaterials sciencePhotocurrentIngotWaferSolar cellOptoelectronicsEnergy conversion efficiencyPhotovoltaic systemAcceptorSubstrate (aquarium)CapacitanceLayer (electronics)OpticsSiliconNanotechnologyChemistryElectrical engineeringMetallurgyElectrode

Abstract

fetched live from OpenAlex

Using a wafer cut from a Bridgman-grown ingot of CuInSe2 as the p-type monocrystalline absorber substrate, a photovoltaic cell has been fabricated with the layer structure Au–CuInSe2 (p)-CdS–ZnO–In. This device has shown superior photovoltaic performance with an apparent initial effective area conversion efficiency of some 12.5% (11.3% total area efficiency), without an antireflection coating, under direct sunlight, where the irradiance corresponded approximately to 90.5 mW/cm2. The effective cell area was 12.6 mm2 (total area 13.8 mm2) and the acceptor concentration in the CuInSe2, estimated from a Mott–Schottky plot, was about 1017 cm−3. However, the photocurrent–capacitance method applied to the cell indicated an electron diffusion length of only about 0.3 μm.

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.

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)0.001
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 score0.009
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.200
Teacher spread0.193 · 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