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Fabrication and Characterization of Helium and Neon Ion Deposited Platinum Wires for Circuit Edit Applications

2012· article· en· W2591188832 on OpenAlex
William B. Thompson, Lewis Stern, Huimeng Wu, Dave Ferranti, Deying Xia, Fouzia Khanom, Philip D. Rack, Carlos Gonzales, Michael W. Phaneuf

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.

Bibliographic record

VenueProceedings - International Symposium for Testing and Failure Analysis · 2012
Typearticle
Languageen
FieldEngineering
TopicIntegrated Circuits and Semiconductor Failure Analysis
Canadian institutionsFibics (Canada)
Fundersnot available
KeywordsMaterials scienceNanolithographyIon beamFocused ion beamNeonPlatinumFabricationIon beam-assisted depositionDeposition (geology)NanotechnologyIonDielectricIon beam depositionElectrical resistivity and conductivityOptoelectronicsIon sourceConductivityElectrical engineeringAtomic physicsChemistryArgonPhysics

Abstract

fetched live from OpenAlex

Abstract Sub-nanometer focused inert gas ions derived from a Gas Field Ion Source (GFIS) contain properties that can improve the dimensional and conductivity characteristics of ion beam deposited platinum circuit edit wiring. The following paper, presents ion interaction simulations that help provide insight into the factors which determine the ultimate wire width, resistivity, and metal deposition rates. An experimental result that has aided in the understanding of the primary wire width limiting mechanism is also presented. Finally, a description of the ion beam and precursor properties used for the platinum deposition is provided, a long with a discussion of the wire resistivity measurement technique and challenges. To conclude, the prospects for GFIS ion induced dielectric and metal deposition for circuit edit and nanofabrication applications are discussed.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.758
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.216
Teacher spread0.203 · 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