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Record W2070251136 · doi:10.1116/1.1463073

Dry etch process optimization for small-area<i>a</i>-Si:H vertical thin film transistor

2002· article· en· W2070251136 on OpenAlexafffund
I-Min Chan, Arokia Nathan

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2002
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceFabricationDry etchingEtching (microfabrication)Thin-film transistorTransistorSiliconOptoelectronicsAmorphous solidDeposition (geology)PlasmaPlasma etchingAmorphous siliconThin filmReactive-ion etchingNanotechnologyLayer (electronics)Electrical engineeringCrystalline siliconChemistryCrystallographyGeologyEngineeringVoltage

Abstract

fetched live from OpenAlex

This article reports the investigation of dry etch processes suitable for small-area amorphous silicon (a-Si:H) vertical thin film transistor (VTFT) fabrication. SF6/O2 and CF4/H2 gas mixtures were experimented on for the anisotropic etching of an n+a-Si:H/a-SiNx:H/n+a-Si:H trilayer to give a self-aligned vertical drain–source stacked structure that is desirable for subsequent deposition of the VTFT channel layers. The results show that the trilayer profiles formed with the SF6/O2 plasma for different O2 concentrations suffered different degrees of undercutting of the composite layers under overetching condition, leading to misaligned etch profiles. On the other hand, the CF4/20%H2 plasma provides a self-aligned vertical trilayer profile even after 1 min of overetching.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score1.000

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 head0.016
GPT teacher head0.219
Teacher spread0.203 · 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 designSimulation or modeling
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

Citations8
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Vacuum Science & Technology A Vacuum Surfaces and FilmsSame topicThin-Film Transistor TechnologiesFrench-language works237,207