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Record W2184777648

A Physics-Based Empirical Model for Ge Self Diffusion in Silicon Germanium Alloys

2008· article· en· W2184777648 on OpenAlexaff
Mohamed A. Rabie, Yaser M. Haddara, Xself Xi Xv, Xi Xi, Xv Xv

Bibliographic record

VenueTechConnect Briefs · 2008
Typearticle
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsThermal diffusivityGermaniumVacancy defectThermodynamicsSiliconMaterials scienceAlloyDiffusionCondensed matter physicsSelf-diffusionCrystallographic defectStatistical physicsMetallurgyPhysicsComputer science
DOInot available

Abstract

fetched live from OpenAlex

We propose a physics-based model for the Ge self diffusivity in SiGe alloys and empirically fit the model to previously reported experimental results [1-3]. The dominant mechanism for Ge self diffusion in SiGe is the vacancy exchange mechanism since the published data on Ge diffusivity are in most cases for experiments done at temperatures lower than 1050 oC. We added two new terms to modify the regular diffusivity equation to relate the diffusivity to the change in Ge concentration. The first term is a consequence of the change in the point defects disorder entropy [4] as a result of adding more Ge atoms to the SiGe system. The second term is to account for the change in formation and migration enthalpies of the point defects due to the change in Ge content in the alloy.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.604
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.038
GPT teacher head0.255
Teacher spread0.217 · 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 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

Citations0
Published2008
Admission routes1
Has abstractyes

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