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Record W3134948768 · doi:10.1021/acs.nanolett.1c00539

Bipolar Resistive Switching in Junctions of Gallium Oxide and p-type Silicon

2021· article· en· W3134948768 on OpenAlexafffund
Mahmoud N. Almadhoun, Maximilian Speckbacher, Brian C. Olsen, Erik J. Luber, Sayed Youssef Sayed, Marc Tornow, Jillian M. Buriak

Bibliographic record

VenueNano Letters · 2021
Typearticle
Languageen
FieldEngineering
TopicAdvanced Memory and Neural Computing
Canadian institutionsUniversity of Alberta
FundersWestern Economic Diversification CanadaNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsDeutsche ForschungsgemeinschaftUniversity of AlbertaAlberta Innovates - Technology Futures
KeywordsMaterials scienceGalliumSiliconOptoelectronicsDopingHysteresisDissolutionLayer (electronics)OxideResistive touchscreenNanotechnologyCondensed matter physicsChemistryElectrical engineering

Abstract

fetched live from OpenAlex

In this work, native GaO x is positioned between bulk gallium and degenerately doped p-type silicon (p + -Si) to form Ga/GaO x /SiO x /p + -Si junctions. These junctions show memristive behavior, exhibiting large current–voltage hysteresis. When cycled between −2.5 and 2.5 V, an abrupt insulator–metal transition is observed that is reversible when the polarity is reversed. The ON/OFF ratio between the high and low resistive states in these junctions can reach values on the order of 10 8 and retain the ON and OFF resistive states for up to 10 5 s with an endurance exceeding 100 cycles. The presence of a nanoscale layer of gallium oxide is critical to achieving reversible resistive switching by formation and dissolution of the gallium filament across the switching layer.

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 head0.010
GPT teacher head0.213
Teacher spread0.204 · 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

Citations44
Published2021
Admission routes2
Has abstractyes

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