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Record W2089328236 · doi:10.7567/jjap.52.086501

Stochastic Effect on Contact Hole Imaging of Chemically Amplified Extreme Ultraviolet Resists

2013· article· en· W2089328236 on OpenAlexfundno aff
Takahiro Kozawa, Taku Hirayama

Bibliographic record

VenueJapanese Journal of Applied Physics · 2013
Typearticle
Languageen
FieldEngineering
TopicAdvancements in Photolithography Techniques
Canadian institutionsnot available
FundersWestern Canada Research GridNational Institutes of HealthNational Science Foundation
KeywordsExtreme ultraviolet lithographyResistExtreme ultravioletCritical dimensionLithographyRealization (probability)Materials scienceRADIUSMonte Carlo methodSurface finishContact angleOpticsUltravioletEnhanced Data Rates for GSM EvolutionNanotechnologyAnalytical Chemistry (journal)ChemistryChemical physicsOptoelectronicsPhysicsComposite materialChromatographyMathematics

Abstract

fetched live from OpenAlex

With the near realization of extreme ultraviolet (EUV) lithography, the critical dimension uniformity and edge roughness of contact holes have attracted much attention. In this study, the stochastic effect on contact hole patterns was investigated using a Monte Carlo method on the basis of the reaction mechanisms of chemically amplified EUV resists. The standard deviation of the number of protected units did not depend on exposure dose or acid generator concentration under the process conditions optimized in terms of the chemical gradient. However, the standard deviation of the number of protected units depended on the effective reaction radius for deprotection.

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 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 score0.021
Threshold uncertainty score0.794

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 head0.224
Teacher spread0.216 · 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.

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

Citations3
Published2013
Admission routes1
Has abstractyes

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