MétaCan
Menu
Back to cohort
Record W1988926560 · doi:10.1115/wtc2005-63169

Electrical Performance of Degraded MEMS Ohmic Switches

2005· article· en· W1988926560 on OpenAlexaff
Lior Kogut

Bibliographic record

VenueWorld Tribology Congress III, Volume 2 · 2005
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsWestern University
Fundersnot available
KeywordsOhmic contactMaterials scienceElectrical contactsContact resistanceMicroelectromechanical systemsAsperity (geotechnical engineering)Quantum tunnellingOptoelectronicsMetalElectrical resistance and conductanceElectrical resistivity and conductivityContact areaComposite materialElectrical engineeringMetallurgyLayer (electronics)

Abstract

fetched live from OpenAlex

Electrical performance of degraded MEMS metallic switches (ohmic contacts) is studied analytically in this paper. The degradation mechanism is based on gradual growth of an insulating film at the contact interface and the characteristics of the insulating film are assumed to be known without considering details regarding the physical and chemical origins of the growth mechanisms. The present study relies on recently developed theories for electrical contact resistance (ECR) of clean and fully-contaminated (i.e., the entire contact area is coated with an insulating film) rough surfaces thus, bridging the gap between these two extreme cases. A relationship is obtained between the degraded ECR and the metallic conductance area. The effect of tunneling currents on the performance of partially-contaminated surfaces is found to be negligible due to the considerable current flow across the metallic asperity contacts.

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 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 score0.293
Threshold uncertainty score0.947

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 integrity0.0000.000
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 head0.009
GPT teacher head0.218
Teacher spread0.210 · 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 teacher head, 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

Citations0
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueWorld Tribology Congress III, Volume 2Same topicAdvanced MEMS and NEMS TechnologiesFrench-language works237,207