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Record W2037955952 · doi:10.1116/1.2898493

Effect of growth temperature on InGaSb metamorphic layers and the fabrication of InGaSb p-i-n diodes

2008· article· en· W2037955952 on OpenAlexafffund
Farseem Mannan Mohammedy, O. Hulko, B. J. Robinson, D. A. Thompson, M. Jamal Deen

Bibliographic record

VenueJournal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsMaterials scienceTransmission electron microscopyDislocationSurface roughnessHomojunctionMetamorphic rockSubstrate (aquarium)FabricationMolecular beam epitaxyEpitaxyOptoelectronicsCrystallographyLayer (electronics)Composite materialNanotechnologyHeterojunctionChemistry

Abstract

fetched live from OpenAlex

Metamorphic growth of In0.15Ga0.85Sb on a GaSb substrate is reported using InxGa1−xSb buffer layers compositionally graded in steps of x=0.03. All layers were grown using gas source molecular beam epitaxy with a fixed Sb flux providing an excess group-V overpressure. The growth temperature was varied from 450to540°C. X-ray diffraction analysis was used to determine the effect of growth temperature on relaxation and residual strain. As the growth temperature is increased, cross-sectional transmission electron microscopy (TEM) shows that the number of dislocations threading through the metamorphic layer are reduced. Plan-view TEM yields misfit dislocation density around 108cm−2 and from atomic force microscopy, the surface roughness is ∼1nm. Both surface roughness and dislocation density improves with higher growth temperature. Finally, p-i-n homojunction diodes of various sizes on metamorphic layers were demonstrated.

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)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.229
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

Citations15
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and PhenomenaSame topicSemiconductor Quantum Structures and DevicesFrench-language works237,207