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Record W4296777401 · doi:10.1063/5.0102076

Self-selective analogue FeO<i>x</i>-based memristor induced by the electron transport in the defect energy level

2022· article· en· W4296777401 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueApplied Physics Letters · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Memory and Neural Computing
Canadian institutionsUniversity of Waterloo
FundersNatural Science Foundation of Guizhou ProvinceNatural Science Foundation of Chongqing
KeywordsHomojunctionMemristorMaterials scienceNeuromorphic engineeringQuantum tunnellingOptoelectronicsElectronResistive random-access memorySputter depositionNanotechnologyElectrodeSputteringThin filmDopingElectrical engineeringChemistryComputer sciencePhysics

Abstract

fetched live from OpenAlex

A Fe2O3 film homojunction was orderly prepared by magnetron sputtering and a hydrothermal method. The Fe2O3 homojunction-based memristor exhibits an obvious self-selective effect as well as a typical analogue resistive switching (RS) memory behavior. A desirable self-rectifying voltage range (−1 to 1 V), stable resistance ratio, good cycling endurance (&amp;gt;104 cycles), and long retention time (&amp;gt;104 s) can be obtained from the Fe2O3 homojunction-based memristor. Oxygen vacancies (Vo) are inevitably generated during the growth of the Fe2O3 film. The self-selective analogue RS memory behavior is ascribed to the electron tunneling behavior between the potential barrier generated by the FeOx contact and the electron filling dynamic in the Vo-based traps. This work provides a simple method to prepare a self-selective analogue memristor and lays the foundation for the core device of neuromorphic computing.

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 score0.327
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.200
Teacher spread0.187 · 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