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Record W1994618247 · doi:10.1117/12.720660

Analysis of low-dimensional semiconductor nanostructures with a self-consistent iterative scheme

2006· article· en· W1994618247 on OpenAlexaff
D. Roy Mahapatra, Roderick Melnik

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
Typearticle
Languageen
FieldEngineering
TopicThermoelastic and Magnetoelastic Phenomena
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsSemiconductor nanostructuresSemiconductorHeterojunctionNanostructureWurtzite crystal structurePoisson's equationPolarization (electrochemistry)Materials scienceCondensed matter physicsOptoelectronicsPhysicsNanotechnologyQuantum mechanicsChemistry

Abstract

fetched live from OpenAlex

In this contribution we propose an iterative scheme for the solution of the coupled Poisson-Schroedinger system in a self-consistent manner. The developed methodology allows us to analyze the combined effects of piezoelectricity, spontaneous polarization, and the charge density in low-dimensional semiconductor nanostructures. These effects are analyzed here on an example of a wurtzite type semiconductor heterojunction. It is shown that such effects may influence substantially the electronic states and quasi-Fermi level energies of the nanostructures, in particular when compared to one-step calculations based on the conventional schemes. A major emphasis is given to two different types of mechanical boundary conditions.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.188
Teacher spread0.183 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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