MétaCan
Menu
Back to cohort
Record W2014736870 · doi:10.1116/1.1649347

Mitigation of accumulated electric charge by deposited fluorocarbon film during SiO2 etching

2004· article· en· W2014736870 on OpenAlexaff
Tadashi Shimmura, Yuya Suzuki, S. Soda, Seiji Samukawa, Mitsumasa Koyanagi, Kazuhiro Hane

Bibliographic record

VenueJournal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2004
Typearticle
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsWaferEtching (microfabrication)Reactive-ion etchingMaterials sciencePlasma etchingDry etchingPlasmaOptoelectronicsElectrical contactsFluorocarbonElectric chargeElectric fieldNanotechnologyComposite material

Abstract

fetched live from OpenAlex

SiO 2 contact-hole etching with a high-aspect ratio is a key process in fabricating ultra-large scale integrated devices. However, charge accumulation in contact holes during plasma etching causes serious problems, such as charge-build-up damage, etching-stop, and microloading effects. Therefore, understanding the mechanism behind this electric charge accumulation and controlling the plasma etching processes would be very important to achieve the next-generation semiconductor devices. We found, through our previous research, that deposited fluorocarbon film in contact holes had high electric conductivity because of ion bombardment. In this experiment, we investigated the build up of charging potential during plasma processes by in situ on-wafer monitoring to control charge accumulation in the contact holes. We developed an on-wafer monitoring device to measure the charging potential in SiO2 contact holes (aspect ratio=5.7). The dc potential of the SiO2 contact hole top and bottom surfaces were measured during plasma exposure with/without deposited fluorocarbon film in the holes. The results revealed that the sidewall deposited fluorocarbon film has high electric conductivity that may mitigate electric charge accumulation at the bottom of contact holes during SiO2 etching processes.

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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

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)0.0010.000

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 head0.003
GPT teacher head0.205
Teacher spread0.202 · 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

Citations30
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Vacuum Science & Technology A Vacuum Surfaces and FilmsSame topicPlasma Diagnostics and ApplicationsFrench-language works237,207