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Very First Relaxation Steps in Low Temperature Buffer Layers SiGe/Si Heterostructures Studied by X-Ray Topography

2007· article· en· W2231062605 on OpenAlex
N. Burle, B. Pichaud, V. I. Vdovin, M. M. Rzaev

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

VenueDiffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena · 2007
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsMaterials scienceAnnealing (glass)DislocationNucleationMetastabilityHeterojunctionRelaxation (psychology)Condensed matter physicsStress relaxationCondensationCrystallographic defectSubstrate (aquarium)CrystallographyOptoelectronicsComposite materialChemistryThermodynamicsPhysicsCreepGeology

Abstract

fetched live from OpenAlex

First relaxation stages in Si1-x Gex layers on Si substrates are induced by annealing of metastable, low-temperature buffer layer samples and observed by X-ray topography (XRT). This method allows observing large area (several square millimetres) of a sample and reveals very low densities of defects, located in the layer as well as in the substrate. It allow to follow the evolution of the very first steps of the relaxation, starting with dislocation crosses which were characterized and evolving to misfit dislocation network by very low increases of thermal budget. It is proposed a nucleation mechanism of these crosses based on Frank loops due to point defects condensation which can transform locally in glide dislocations under the influence of the biaxial stress in the film.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.358
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0030.002
Research integrity0.0000.002
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 head0.014
GPT teacher head0.247
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