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Record W1640499916 · doi:10.1063/1.3078168

Modeling germanium diffusion in Si1−xGex/Si superlattice structures

2009· article· en· W1640499916 on OpenAlexaff
Mohammad Hasanuzzaman, Yaser M. Haddara, Andrew P. Knights

Bibliographic record

VenueJournal of Applied Physics · 2009
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsGermaniumSuperlatticeSiliconAnnealing (glass)Materials scienceVacancy defectDiffusionAtmospheric temperature rangeLattice (music)Condensed matter physicsLattice diffusion coefficientSilicon-germaniumAnalytical Chemistry (journal)CrystallographyMetallurgyChemistryThermodynamicsOptoelectronicsEffective diffusion coefficient

Abstract

fetched live from OpenAlex

We present a model for the interdiffusion of silicon (Si) and germanium (Ge) in silicon germanium/silicon (Si1−xGex/Si) superlattice (SL) structures. Both a vacancy exchange mechanism and an interstitial diffusion mechanism are considered in the proposed model. The effects of Ge on the diffusion properties of the SL are also considered and the conservation of lattice site constraints is accounted for. Output from the model is compared to experimental Ge interdiffusion profiles for samples annealed in the temperature range 770–1125 °C in inert ambient and in some cases in oxidizing ambient, where the experimental samples contained Ge fractions up to 30%. For anneal temperatures up to 1075 °C a vacancy exchange mechanism is sufficient to describe the interdiffusion mechanism in Si1−xGex/Si SL structures. For higher anneal temperatures interstitial diffusion mechanism dominates the interdiffusion process.

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)0.000
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.448

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 head0.011
GPT teacher head0.216
Teacher spread0.204 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations8
Published2009
Admission routes1
Has abstractyes

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