MétaCan
Menu
Back to cohort
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 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

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

Al 2 O 3 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 &gt; 20% were realized. Further, such cells are processed with throughputs &gt; 3000 wafers/hr. The thermal stability of the film is improved by selecting thin films (&lt; 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.

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 score0.187
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 head0.192
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