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Record W2162833410 · doi:10.1149/2.013212jes

Correlation between Electrical and Optical Properties of Tantalum Anodic Oxide and Electron Cyclotron Resonance Etching Studies of E-Beam Deposited Ta<sub>2</sub>O<sub>5</sub>Films

2012· article· en· W2162833410 on OpenAlexaff
A. Kulpa, Nicolas A. F. Jaeger

Bibliographic record

VenueJournal of The Electrochemical Society · 2012
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTantalumEtching (microfabrication)Electron cyclotron resonanceMaterials scienceCathode rayElectronAnodeOxideResonance (particle physics)Analytical Chemistry (journal)Atomic physicsChemistryLayer (electronics)MetallurgyNanotechnologyPhysicsNuclear physicsPhysical chemistryElectrode

Abstract

fetched live from OpenAlex

The anodic tantalum oxide films were grown in 5ml/98% H2SO4 electrolyte saturated with additional H2. Discharge currents were collected immediately after growth. The optical properties of these films were studied with an ellipsometer over a wide range of frequencies from the UV to the IR. It was established that films for which the discharge currents followed the known “~ -1” power dependence (specific for films that can sustain large electric fields in the MV/cm range) have different optical properties as compared to films for which the discharge current is not represented by that empirical function. Etching studies of e-beam deposited Ta2O5 films, combined with reflectance measurements after each etch step, resulted in a shift in the reflectance spectrum as a function of film thickness. This empirical f versus d dependence (where f is the frequency corresponding to the reflectance minimum for each film thickness, d) was used to calculate the energies of the 4d doublet of Ta in Ta2O5.

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 score0.003

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 head0.012
GPT teacher head0.221
Teacher spread0.210 · 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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