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Record W2089307247 · doi:10.1063/1.3343346

Simulation of redeposition during platinum etching in argon plasmas

2010· article· en· W2089307247 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Applied Physics · 2010
Typearticle
Languageen
FieldEngineering
TopicIon-surface interactions and analysis
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPlatinumSputteringArgonPlasmaEtching (microfabrication)Plasma etchingAtomic physicsSticking coefficientMaterials scienceAnalytical Chemistry (journal)Atom (system on chip)ChemistryMolecular physicsThin filmNanotechnologyPhysical chemistryPhysicsNuclear physics

Abstract

fetched live from OpenAlex

The influence of redeposition on the space and time evolution of feature profiles during platinum etching in high-density argon plasmas is examined using simulations. The simulator takes into account redeposition resulting from either direct sticking of the sputtered species on the materials walls (line-of-sight redeposition) or from sputtered species returning from plasma (indirect redeposition). Overall, the simulator successfully reproduces experimental profiles sputter etched in platinum, in particular V-shaped profiles reported in literature. From comparison between experimental and simulated profiles at very low pressure, Pt/resist sticking probability was estimated to be 0.1 and the angular spread of the sputtered atom distribution was predicted to be about ±50°. It was further found that indirect redeposition becomes crucial at higher pressure for explaining the amount of redeposited matter.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.270

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 head0.005
GPT teacher head0.218
Teacher spread0.213 · 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