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Record W2136410192 · doi:10.1149/1.2980005

Two Step Annealing of Iridium Thin Films prepared by Plasma-Enhanced Atomic Layer Deposition

2008· article· en· W2136410192 on OpenAlexaff
Sung‐Wook Kim, Se‐Hun Kwon, Sang-Won Kang

Bibliographic record

VenueECS Transactions · 2008
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsIridiumThin filmMaterials scienceAnnealing (glass)PlasmaArgonAtomic layer depositionAnalytical Chemistry (journal)Chemical engineeringChemistryNanotechnologyComposite materialCatalysis

Abstract

fetched live from OpenAlex

Plasma-enhanced atomic layer deposition of iridium thin film was investigated using (ethylcyclopentadienyl)(1,5-cyclooctadiene) iridium and ammonia plasma. The deposited Ir thin films had smooth surface and (111) preferred orientation due to atomic rearrangement by high energy of ammonia plasma. As a capacitor electrode material in dynamic random access memory applications, Ir thin films showed excellent thermal and morphological stability in ambient oxygen at 850 oC by adopting 2-step annealing process, which is consisted of the temperature rising step in ambient argon and the temperature maintenance step in ambient oxygen.

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 score0.031
Threshold uncertainty score0.538

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 head0.014
GPT teacher head0.222
Teacher spread0.209 · 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

Citations6
Published2008
Admission routes1
Has abstractyes

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