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Record W2301055314 · doi:10.1002/pssb.201552802

Atomic scale displacement field induced by a near-Σ9 twin boundary in silicon

2016· article· en· W2301055314 on OpenAlexaff
R. Bonnet, Martin Couillard, Sami Dhouibi, Salem Neily

Bibliographic record

Venuephysica status solidi (b) · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor materials and interfaces
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsMisorientationDislocationAtomic unitsPlanarMaterials scienceGrain boundarySiliconCondensed matter physicsRotation (mathematics)Tilt (camera)Displacement (psychology)Molecular physicsCrystal twinningDisplacement fieldGeometryBoundary (topology)OpticsCrystallographyPhysicsChemistryOptoelectronicsMicrostructure

Abstract

fetched live from OpenAlex

The structure of a near-Σ9 symmetrical tilt boundary of a silicon bicrystal is observed at atomic scale by high-resolution transmission electron microscopy using the [0,1,1] common tilt axis. The experimentally observed positions of atomic rows nearby the boundary are compared to theoretically predicted row positions using an elastic displacement field u generated by a planar semicoherent interface containing a periodic array of edge DSC dislocations. These dislocations accommodate a small angular departure (1.70°) from the perfect Σ9 twin orientation, as a small-angle symmetrical tilt grain boundary accommodates the misorientation. The investigation includes a large region containing two successive dislocation cores (spacing 6.1 nm). A good agreement between the experimental and theoretical atomic rows is obtained, except in the vicinity of the dislocation cores. This observation shows that the elastic field of the DSC dislocation array behaves like that of a planar periodic semicoherent interface separating two different crystals: it does not generate a long-range displacement or rotation field.

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 categoriesInsufficient payload (model declined to judge)
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 score0.016
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)0.0010.000

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 head0.260
Teacher spread0.249 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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