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Record W1938170609 · doi:10.1109/edms.1994.771210

Energy band structure tailoring of InGaAsP/InGaAsP quantum well prepared by organometallic vapor phase epitaxy and measured by photoluminescence

2005· article· en· W1938170609 on OpenAlexaff
Wei Lin, Hung-Pin Shiao, Chwan-Yang Chang, Tian-Tsorng Shi, Ching-Ting Lee, Yuan‐Kuang Tu

Bibliographic record

VenueInternational Electron Devices and Materials Symposium · 2005
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor Quantum Structures and Devices
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsPhotoluminescenceEpitaxyBand offsetQuantum wellBand gapMaterials scienceOptoelectronicsCondensed matter physicsWaferElectronic band structureGallium arsenideAnalytical Chemistry (journal)ChemistryOpticsNanotechnologyPhysics

Abstract

fetched live from OpenAlex

We report the theoretical and experimental results of the In/sub x/Ga/sub 1-x/As/sub y/P/sub 1-y//In/sub z/Ga/sub 1-z/As quantum wells (QW). Wafers prepared by low-pressure organometallic vapor phase epitaxy (OMVPE) were studied. The band offset ratios at the heterointerface and material's energy bandgap are determined from the model-solid theory of Van de Walle, while single partical model is used to solve the Schrodinger equation to predict the corresponding wavelength. For unstrained In/sub x/Ga/sub 1-x/As/sub y/P/sub 1-y//In/sub 0.53/Ga/sub 0.47/As quantum wells, the conduction band offset of bandgap difference (dEc%) can be formulated as: (dEc %)unstrained = 42.6 % - (25.4y) %; on the other hand, for strained In/sub x/Ga/sub 1-x/As/sub y/P/sub 1-y//In/sub z/Ga/sub 1-z/As quantum wells, the strain (S) changes the dEc% as: (dEc%)strain=(dEc%)unstrained + 1.3xS. Results of our samples, measured by photoluminescence and transmission electron microscopy measurements, demonstrate good agreements in devised unstrained QW structure with theoretical calculations.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
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 head0.005
GPT teacher head0.236
Teacher spread0.231 · 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

Citations0
Published2005
Admission routes1
Has abstractyes

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