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Record W4409490414 · doi:10.1088/2515-7647/adcddc

Low-temperature fabrication of plasmonic titanium nitride thin films by electron beam evaporation

2025· article· en· W4409490414 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.

Bibliographic record

VenueJournal of Physics Photonics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGaN-based semiconductor devices and materials
Canadian institutionsUniversity of Waterloo
FundersH2020 European Research CouncilEngineering and Physical Sciences Research CouncilLeverhulme Trust
KeywordsFabricationMaterials scienceElectron beam physical vapor depositionPlasmonEvaporationOptoelectronicsThin filmCathode rayNitrideTitanium nitrideTitaniumNanotechnologyElectronMetallurgyLayer (electronics)Physics

Abstract

fetched live from OpenAlex

Abstract Titanium nitride (TiN) is a refractory metal nitride compound with the potential to function as an alternative plasmonic material to gold, especially for high-power linear and nonlinear applications such as materials processing, telecommunications, and laser systems. This paper presents a simple, electron beam evaporation based deposition process to fabricate sub-100 nm TiN thin films at low temperatures. The dependence of optical properties and film thickness on deposition temperature was explored and it was observed that low-temperature annealing during deposition further enhances the plasmonic properties of the films. These results are essential for promoting the utilisation of highly metallic TiN thin films in plasmonic and photonic applications.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.603

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 head0.238
Teacher spread0.233 · 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