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Record W4376607922 · doi:10.1109/lmwt.2023.3264236

Resistance Ratio Enhancement in Phase-Change RF Switches at Cryogenic Temperatures

2023· article· en· W4376607922 on OpenAlexaff
Tejinder Singh, Raafat R. Mansour

Bibliographic record

VenueIEEE Microwave and Wireless Technology Letters · 2023
Typearticle
Languageen
FieldMaterials Science
TopicPhase-change materials and chalcogenides
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceOptoelectronicsRadio frequencyPhase (matter)Atmospheric temperature rangeAmorphous solidMicroheaterPhase-change materialElectrical resistivity and conductivityVoltagePhase changeAnalytical Chemistry (journal)Electrical engineeringFabricationChemistryEngineering physicsThermodynamics

Abstract

fetched live from OpenAlex

This letter reports the dc and radio frequency (RF) performance of the phase-change RF switches (PCRS) as a function of temperature. Resistance change behavior of the germanium telluride (GeTe) material is experimentally investigated over 77 to 335 K. The device shows metallic behavior in the crystalline state which exhibits consistent low resistivity over a wide temperature range, while in the amorphous state, resistance increases to more than eleven orders of magnitude as a function of decreasing temperature from 300 to 77 K. Device current–voltage (IV) characteristics and the RF performance are investigated for multiple device cycles. The RF performance of the PCRS is reported with and without microheater are examined to confirm the performance variation of the phase-change switches at cryogenic temperatures.

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 score0.006

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)0.0020.000

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 head0.028
GPT teacher head0.268
Teacher spread0.241 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueIEEE Microwave and Wireless Technology LettersSame topicPhase-change materials and chalcogenidesFrench-language works237,207