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Record W2965915091 · doi:10.11159/icnfa19.134

Transistor Using Two-dimensional Electron Gas in Thin Film Oxide Heterostructure via Atomic Layer Deposition

2019· article· en· W2965915091 on OpenAlex
Hye Ju Kim, Seong Hwan Kim, Sang Woon Lee

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueProceedings of the World Congress on New Technologies · 2019
Typearticle
Languageen
FieldMaterials Science
TopicElectronic and Structural Properties of Oxides
Canadian institutionsnot available
Fundersnot available
KeywordsAtomic layer depositionHeterojunctionMaterials scienceOptoelectronicsLayer (electronics)Deposition (geology)TransistorElectronOxideThin filmThin-film transistorNanotechnologyElectrical engineeringPhysicsVoltageEngineeringMetallurgyGeology

Abstract

fetched live from OpenAlex

Two-dimensional electron gas (2DEG) at an epitaxial interface of LaAlO3/SrTiO3 (LAO/STO) heterostructures has received considerable attentions because of their unique physical properties. The electron density of 2DEG at LAO/STO heterostructure is 10 13 ~10 14 /cm 2 which is 100 times higher than those of the conventional semiconductor heterojunction such as AlGaAs/GaAs. The high density of electrons enables a fabrication of high-performance transistor. Unfortunately, the growth of LAO epitaxial layer on single crystalline STO substrate is necessary for 2DEG generation via polar catastrophe mechanism which impeded a practical use of the oxide heterostructure.

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.

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 score0.010
Threshold uncertainty score0.712

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 science0.0010.000
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 head0.010
GPT teacher head0.230
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