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Record W2024346128 · doi:10.1063/1.2772775

Asymmetric strain in nanoscale patterned strained-Si/strained-Ge/strained-Si heterostructures on insulator

2007· article· en· W2024346128 on OpenAlexaff
Pouya Hashemi, Leonardo Gomez, Judy L. Hoyt, M. Robertson, Michael Canonico

Bibliographic record

VenueApplied Physics Letters · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced Surface Polishing Techniques
Canadian institutionsAcadia University
Fundersnot available
KeywordsMaterials scienceHeterojunctionRaman spectroscopyNanoscopic scaleStrain engineeringStrained siliconUniaxial tensionOptoelectronicsStrain (injury)SiliconUltimate tensile strengthComposite materialNanotechnologyOpticsCrystalline silicon

Abstract

fetched live from OpenAlex

The engineering of asymmetric strain is demonstrated in nanoscale patterned strained-Si/strained-Ge/strained-Si heterostructure on insulator with body thickness of 15nm. Starting material has layers with symmetric in-plane strain, including biaxial strained Si (∼1.8%, tension) and biaxial strained Ge (∼1.8%, compression). Micro-Raman spectroscopy is utilized to characterize the stress in heterostructures patterned into 10-μm-long bars with widths ranging from 300to30nm. Raman measurements are consistent with the transformation from biaxial to uniaxial compressive strain in the Ge for 30-nm-wide bars, as predicated by simulations. Measurements also demonstrate enhanced asymmetric relaxation in the tensile strained Si cap as its thickness is increased.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.000
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations17
Published2007
Admission routes1
Has abstractyes

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