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Record W4283380468 · doi:10.1063/5.0097106

Investigation of multi-photoconductance state induced by light-sensitive defect in TiO<i>x</i>-based memristor

2022· article· en· W4283380468 on OpenAlexaff
Bingtao Yan, Dalong Kuang, Wenhua Wang, Yuchen Wang, Bai Sun, Guangdong Zhou

Bibliographic record

VenueApplied Physics Letters · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Memory and Neural Computing
Canadian institutionsUniversity of Waterloo
FundersFoundation for Fundamental Research of China
KeywordsMemristorMaterials scienceResistive random-access memoryOptoelectronicsExcited statePhotoconductivityProtein filamentSubstrate (aquarium)DopingNanotechnologyElectrodeChemistryPhysicsComposite materialAtomic physics

Abstract

fetched live from OpenAlex

A TiOx switching layer with a thickness of ∼83 nm is prepared on a F-doped SnO2 (FTO) substrate by the sol-gel method to fabricate the Ag/TiOx/FTO memristor. The resistive switching memory behavior observed in the developed memristor can be efficiently modulated by the light. After modulating the light-intensity from 2.5 to 12.5 mW/mm2, five discrete photoconductance states can be obtained. The competition and synergy of the oxygen vacancy and Ag atom-based filament are responsible for the resistance switching (RS) memory behavior. The multi-photoconductance states are ascribed to the electron excited by the external light transports along the conduction filament. The programmable multi-photoconductance states provide a realistic RS memory behavior to mimic the function of a visual system.

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 score0.001
Threshold uncertainty score0.002

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 communication0.0000.000
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 head0.020
GPT teacher head0.214
Teacher spread0.194 · 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

Citations31
Published2022
Admission routes1
Has abstractyes

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