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Record W2328966117 · doi:10.11159/ijtan.2014.002

Prospective Application of A3B3C62 Type Semiconductors for Developing Nano-size Electronic Devices

2014· article· en· W2328966117 on OpenAlexvenueno aff
A. M. Pashaev, Arif Badalov, R. M. Sardarly, Oktay Samedov, Nurana Alieva, Rayiha Agayeva, Aygun Orujova, Arzu Sardarli

Bibliographic record

VenueInternational Journal of Theoretical and Applied Nanotechnology · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSemiconductor materials and interfaces
Canadian institutionsnot available
Fundersnot available
KeywordsSemiconductorNanotechnologyMaterials scienceNano-OptoelectronicsComposite material

Abstract

fetched live from OpenAlex

In this paper we present the most recent results of our studies on TlInTe2 and TlInSe2 crystals (continuing our earlier studies on TaGaTe2), and analyze the nano-size application perspectives of A 3 B 3 C 6 2 semiconductors. It has been shown that A 3 B 3 C 6 2 semiconductors are prospective materials for developing the nano-size devices such as varistors, solid electrolytic accumulators and supercapacitors. The analysis is based on our experimental studies, which include the temperature dependence of the electrical conductivity, THz spectra, and permittivity. It has been shown that the electrical conductivity parameters of A 3 B 3 C 6 2 type semiconductors can be affected by -irradiation, and the effect depends on the dose of irradiation. The possibility of restructuring of electrical conductivity mechanism in these semiconductors makes them attractive for designing new nano-size electronic devices with controlled parameters.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 communication0.0000.001
Open science0.0000.000
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 head0.004
GPT teacher head0.248
Teacher spread0.243 · 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 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
Published2014
Admission routes1
Has abstractyes

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