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Record W2143701268 · doi:10.1002/pssc.200982796

The effect of aging on the dark conductivity and 1/<i>f</i> noise in hydrogenated microcrystalline silicon thin films

2010· article· en· W2143701268 on OpenAlexafffund
M. Güneş, Robert E. Johanson, Safa Kasap, F. Finger, Andreas Lambertz

Bibliographic record

VenuePhysica status solidi. C, Conferences and critical reviews/Physica status solidi. C, Current topics in solid state physics · 2010
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaBundesministerium für Bildung und Forschung
KeywordsConductivityAnnealing (glass)Materials scienceActivation energyElectrical resistivity and conductivityAnalytical Chemistry (journal)SiliconMicrocrystallineCondensed matter physicsComposite materialChemistryOptoelectronicsPhysicsCrystallographyPhysical chemistry

Abstract

fetched live from OpenAlex

Abstract Aging hydrogenated microcrystalline silicon in air is found to affect both the dark conductivity and the 1/ f noise. For a sample with a crystalline volume fraction of 0.39, the conductivity decreased by three orders of magnitude at 20 °C after short‐term (10–20 hrs) exposure to air. The conductivity recovered after annealing to 160 °C. Long‐term exposure (2 years) resulted in a permanent decrease by a factor of 16 at 20 °C even after annealing. Long‐term aging also increased the conductivity activation energy from 0.193 eV to 0.342 eV. After short‐term aging and below the annealing temperature, the conductivity prefactor σ 0 and the activation energy E σ follow a Meyer‐Neldel type of relation. Conductance fluctuations measured for annealed and aged states show all the expected characteristics of 1/ f noise. The spectra fit a power law with slope ‐1; the slope is not affected by temperature or aging. The magnitude of the noise decreases with temperature after aging, but by much less after annealing. A simple analysis of the product of conductivity and noise magnitude can be used to estimate the free carrier mobility (© 2010 WILEY‐VCH Verlag GmbH &amp; Co. KGaA, Weinheim)

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.407
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.022
GPT teacher head0.301
Teacher spread0.278 · 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 teacher head, not a consensus.

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

Citations4
Published2010
Admission routes2
Has abstractyes

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