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Record W2112672449 · doi:10.1149/06103.0003ecst

(Invited) Spatial ALD, Deposition of Al<sub>2</sub>O<sub>3</sub> Films at Throughputs Exceeding 3000 Wafers per Hour

2014· article· en· W2112672449 on OpenAlexaff
Ernst Granneman, В. И. Кузнецов, P. Vermont

Bibliographic record

VenueECS Transactions · 2014
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsCégep de Lévis
FundersAgentschap NL
KeywordsPassivationWaferMaterials scienceDeposition (geology)Carrier lifetimeAtomic layer depositionAnnealing (glass)Thermal stabilityOptoelectronicsThin filmAnalytical Chemistry (journal)NanotechnologyChemical engineeringSiliconComposite materialChemistryLayer (electronics)Environmental chemistry

Abstract

fetched live from OpenAlex

Al2O3 is the first ALD film being introduced in the solar cell (PV) industry. The primary driver for implementation is two-fold: excellent surface passivation and low cost-of-ownership. ‘Spatial’ ALD systems satisfy both criteria. On Fz and Cz-type wafers minority carrier lifetimes in the range of 5-8 and 0.5-1ms, respectively, are obtained. With this type of film, PERC-type cells with efficiencies > 20% were realized. Further, such cells are processed with throughputs > 3000 wafers/hr. The thermal stability of the film is improved by selecting thin films (< 6nm), and by carrying out a post-deposition anneal at 600°C. This anneal drives out excess hydrogen that is incorporated during deposition, thereby avoiding the formation of blisters upon exposure to subsequent high-temperature (‘firing’) steps.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

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)0.0130.005

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 head0.192
Teacher spread0.184 · 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 source (direct Gemma or distilled Codex), 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

Citations13
Published2014
Admission routes1
Has abstractyes

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