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Configurable and Intelligent Switched CMOS Current Driver Powering Arrays of Electrothermal Actuators for MEMS Switches

2024· article· en· W4400229854 on OpenAlexaff
Allan Riboullet, Frédéric Nabki, Yves Blaquière, Glenn Cowan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Memory and Neural Computing
Canadian institutionsConcordia UniversityÉcole de Technologie Supérieure
Fundersnot available
KeywordsActuatorMicroelectromechanical systemsCMOSElectrical engineeringCurrent (fluid)Computer scienceElectronic engineeringMaterials scienceEngineeringOptoelectronics

Abstract

fetched live from OpenAlex

A switched constant current driver for a configurable switch network based on electrothermal micro-electromechanical-systems (MEMS) components is presented. A constant current-mode approach is proposed for achieving precise power control over an array of devices that leverage thermal heaters for actuation. This multi-channel actuation circuit is able to power different electrothermal MEMS switches. Interface circuits based on the self-temperature sensing technique of the heater and the ohmic contact property of the actuator are proposed. They provide early detection to address MEMS lifetime concerns, and constitute the main novelty of this research, which is specifically focused on the application. The circuit is implemented in a 0.18 μm BCD technology and occupies an area of 1.3 mm2. Post-layout simulations show that the system can output current up to 90 mA (Rheater= 80 Ω) with a resolution of 2 mA.

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 score0.007

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 science0.0010.000
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 head0.018
GPT teacher head0.262
Teacher spread0.245 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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