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Record W1976519780 · doi:10.1063/1.4752873

Analytical model of surface depletion in GaAs nanowires

2012· article· en· W1976519780 on OpenAlexaff
A. C. E. Chia, Ray LaPierre

Bibliographic record

VenueJournal of Applied Physics · 2012
Typearticle
Languageen
FieldEngineering
TopicNanowire Synthesis and Applications
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNanowireDepletion regionRADIUSCondensed matter physicsPoisson's equationConductivityFermi levelMaterials scienceDopingSurface statesPhysicsSurface (topology)NanotechnologyElectronQuantum mechanicsGeometryMathematicsLayer (electronics)

Abstract

fetched live from OpenAlex

Poisson's equation is solved to provide a comprehensive model of nanowire (NW) surface depletion as a function of interface state density, NW radius, and doping density. This model improves upon established theory by giving distinct solutions to the cases of full and partial NW depletion while implementing the charge neutrality level and accurate Fermi-Dirac statistics. To explain the underlying physics, key parameters were plotted as a function of both interface state density and NW radius, showing interesting features such as the lowering of the Fermi level in fully depleted NWs and marked increase in surface depletion width and built-in surface potential (relative to a planar film equivalent) in partially depleted NWs. Finally, examination of NW conductivity found that for NWs of radius acrit, the minimum NW radius before which the entire NW is depleted, conductivity can be reduced by up to 95% relative to bulk. Additionally, majority carrier inversion is predicted to occur in thin NWs.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.021
GPT teacher head0.236
Teacher spread0.216 · 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 designSimulation or modeling
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

Citations54
Published2012
Admission routes1
Has abstractyes

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