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Atomic Layer Deposition of Zn(O,S) Buffer for CIGS-Based Solar Cells

2013· article· en· W2202277809 on OpenAlex

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.

Bibliographic record

VenueEU PVSEC · 2013
Typearticle
Languageen
FieldEngineering
TopicChalcogenide Semiconductor Thin Films
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCopper indium gallium selenide solar cellsAtomic layer depositionBuffer (optical fiber)Layer (electronics)Deposition (geology)Materials scienceThin film solar cellOptoelectronicsZincChemical engineeringMetallurgyNanotechnologyComputer scienceGeologyEngineeringTelecommunications

Abstract

fetched live from OpenAlex

Atomic layer deposition (ALD) Zn(O,S) layers were prepared in an industrial-scale reactor by Beneq on in-line Cu(In,Ga)Se2 (CIGS) coated Mo/glass substrates provided by ZSW and Manz. The samples were completed to solar cells at ZSW with a sputtered ZnO/ZnO:Al or (Zn,Mg)O/ZnO:Al front electrode. We discuss effects concerning the ex-situ growth of ALD Zn(O,S) on CIGS and their influence on the electrical properties of ALD Zn(O,S) buffered CIGS-based solar cells. The growth rate and coverage of ALD Zn(O,S) on CIGS was found to depend on the CIGS surface composition and could be significantly improved by modification of the CIGS surface from a selenidic to an oxidic composition. This modification resulted in an increase of open-circuit voltage and fill factor of the completed cells. Small-area cell efficiencies over 18 % could be achieved, which is comparable to reference cells with a chemical bath deposited CdS buffer layer.

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)0.000
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 score0.047
Threshold uncertainty score0.622

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)0.0010.000

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 head0.015
GPT teacher head0.210
Teacher spread0.195 · 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