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Record W2012627669 · doi:10.1117/12.810907

Free carrier lifetime modification in silicon

2009· article· en· W2012627669 on OpenAlex
Nick Wright, Dave J. Thomson, K. L. Litvinenko, William R. Headley, Andrew J. Smith, Andrew P. Knights, Jonathan H. B. Deane, Frédéric Y. Gardes, Goran Z. Mashanovich, R. Gwilliam, Graham T. Reed

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 of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Typearticle
Languageen
FieldEngineering
TopicIntegrated Circuits and Semiconductor Failure Analysis
Canadian institutionsMcMaster University
FundersEngineering and Physical Sciences Research Council
KeywordsSiliconMaterials scienceCarrier lifetimeOptoelectronicsFree carrier absorptionIon implantationAbsorption (acoustics)DiodeFree carrierRaman spectroscopyRaman amplificationIonOpticsRaman scatteringChemistry

Abstract

fetched live from OpenAlex

We investigate the effects of silicon ion irradiation on free carrier lifetime and propagation loss in silicon rib waveguides, and thus its ability to reduce the density of two-photon-absorption (TPA) generated free carriers, an undesired effect of the Raman process in crystalline silicon. Our experimental results show that free carrier lifetime can be reduced significantly by silicon ion implantation. Associated excess optical absorption from the implanted silicon ions can be kept low if irradiation energy and dose are correctly chosen. Simulations of Raman amplification in silicon rib waveguides suggest that net gain can be achieved in certain cases without the need for an integrated diode in reverse bias to sweep out the photo-generated free carriers.

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 categoriesMeta-epidemiology (narrow)
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 score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.010
GPT teacher head0.217
Teacher spread0.206 · 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