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Record W2496305981 · doi:10.1149/1.3485280

(Invited) High Throughput ALD of Al<sub>2</sub>O<sub>3</sub> Layers for Surface Passivation of Silicon Solar Cells

2010· article· en· W2496305981 on OpenAlexaff
В. И. Кузнецов, Ernst Granneman, P. Vermont, K. Vanormelingen

Bibliographic record

VenueECS Transactions · 2010
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsCégep de Lévis
Fundersnot available
KeywordsPassivationWaferAnnealing (glass)Materials scienceCarrier lifetimeSiliconOptoelectronicsOhmThroughputAnalytical Chemistry (journal)NanotechnologyComposite materialElectrical engineeringChemistryLayer (electronics)Computer science

Abstract

fetched live from OpenAlex

A high-throughput ALD system based on wafer transport in an atmospheric gas bearing was developed. Line-shaped TMA and H2O precursor zones are present in the direction perpendicular to transport takes place. Thin Al2O3 films of 4-24 nm were deposited at wafer speed of 160-230 mm/s (corresponding to a throughput of 2400 - 3600 wph). After annealing and firing the films show good passivation. Effective minority carrier lifetimes measured on 2.3 ohm cm p-type c-Si wafers at excess carrier density of 1E15 cm-3 reach values of 0.3-2.5 ms depending on surface preparation, annealing steps and film thickness. No degradation of films during firing was observed and the lifetime values remain stable in time. The Levitrack system presented in this paper is expected to meet the requirements of the PV industry.

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)
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 score0.064
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
Bibliometrics0.0000.000
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 head0.008
GPT teacher head0.200
Teacher spread0.191 · 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.

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

Citations7
Published2010
Admission routes1
Has abstractyes

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