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Record W2127646874 · doi:10.1088/0268-1242/21/7/006

Arrays of periodic submicron conductive links in Si covered by SiO<sub>2</sub>formed by polarized laser irradiation

2006· article· en· W2127646874 on OpenAlexafffund
Yougui Liao, Michel Meunier

Bibliographic record

VenueSemiconductor Science and Technology · 2006
Typearticle
Languageen
FieldEngineering
TopicLaser Material Processing Techniques
Canadian institutionsPolytechnique Montréal
FundersCore Research for Evolutional Science and TechnologyPolytechnique Montréal
KeywordsIrradiationLaserElectrical conductorMaterials scienceOptoelectronicsSiliconOpticsComposite materialPhysics

Abstract

fetched live from OpenAlex

Arrays of periodic submicron conductive links were fabricated in silicon covered by SiO2 when polarized frequency doubled Nd:YAG pulsed laser irradiation is focused on the gap between two highly doped regions. The principle of the process is based on the fact that the laser forms periodic melting in silicon, thus inducing preferential dopant diffusion and creating an array of fine conductive links between the highly doped regions. A scanning capacitance microscopy (SCM) was employed to detect these submicron structures and to measure their electrical properties. It was found that between two and seven submicron conductive links are observed in a focused spot size of 3 µm and their number depends only on the laser intensity ranging from 3.10 W to 3.75 W, while their average width (151–300 nm) and depth (108–147 nm) strongly depends on both the laser intensity and number of laser pulses. The resistances of these links are between 363–493 Ω and the effective average doping levels are from 1.5 × 1018 to 2.4 × 1019 cm−3.

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 head0.004
GPT teacher head0.193
Teacher spread0.189 · 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".

Quick stats

Citations0
Published2006
Admission routes2
Has abstractyes

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