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Record W2925653416 · doi:10.31438/trf.hh2010.109

CMOS-MEMS 8-BIT MEMDAC NANOPOSITIONER WITH INTEGRATED POSITION SENSING AND DIGITAL CONTROL

2010· article· en· W2925653416 on OpenAlexaff
Niladri Sarkar, Raafat R. Mansour

Bibliographic record

Venue2010 Solid-State, Actuators, and Microsystems Workshop Technical Digest · 2010
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Waterloo
FundersDefense Advanced Research Projects AgencyTexas Emerging Technology Fund
KeywordsPiezoresistive effectPosition sensorCMOSMicroelectromechanical systemsActuatorPosition (finance)CantileverDisplacement (psychology)Electronic engineeringMaterials scienceAngular displacementElectrical engineeringEngineeringOptoelectronicsAcousticsPhysics

Abstract

fetched live from OpenAlex

An 8-bit MEMDAC (microelectromechanical digital-toanalog converter) with nanometric position sensing and digital control has been implemented in a CMOS-MEMS process. The device is intended for use in scanning probe lithography and requires a closed-loop position resolution of 1 nm. Lateral electrothermal actuators provide a displacement of 8m to each of the 8 inputs of the compliance network. The step size corresponding to a transition of the least significant bit (LSB) is ~31nm. A piezoresistive sensor integrated in the LSB has an output-referred position resolution of 0.39nm. The design has been extended to 2 dimensions with an integrated cantilever and CMOS electronics to reduce pincount.

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 categoriesMeta-epidemiology (narrow)
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 score0.084
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.003
GPT teacher head0.197
Teacher spread0.194 · 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.

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
Published2010
Admission routes1
Has abstractyes

Explore more

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