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Record W1929484080 · doi:10.1109/iciprm.1992.235719

The use of an in-situ ECR hydrogen plasma to remove the oxide from InP substrates prior to epitaxial growth

2003· article· en· W1929484080 on OpenAlexaff
B. J. Robinson, D. A. Thompson, Peter G. Hofstra, G. Balčaitis, Scott A. McMaster

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMolecular beam epitaxyHydrogenDesorptionOxideElectron cyclotron resonanceSubstrate (aquarium)Analytical Chemistry (journal)EpitaxyMaterials scienceThermal desorptionPlasmaThermal desorption spectroscopyChemistryMetallurgyNanotechnologyLayer (electronics)Physical chemistry

Abstract

fetched live from OpenAlex

The authors present results of studies on the use of a hydrogen plasma generated by an electron cyclotron resonance (ECR) source in-situ in an MBE (molecular beam epitaxy) growth chamber to remove the surface oxide on InP at temperatures significantly lower than thermal desorption temperatures, thereby eliminating the risk of surface decomposition. It is shown that, for substrate temperatures as low as 400 degrees C, an ECR hydrogen plasma operating with an excess P/sub 2/ flux on the sample surface may be used to remove the oxide from InP substrates prior to epitaxial growth. A typical exposure for this treatment is short (<or= one minute) and at a significantly lower temperature 50 to 100 degrees C less than conventional thermal desorption temperatures, thereby reducing the risk of decomposition of the substrate.<<ETX>>

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.319

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 head0.025
GPT teacher head0.217
Teacher spread0.192 · 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 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

Citations0
Published2003
Admission routes1
Has abstractyes

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