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Record W2927179777 · doi:10.31438/trf.hh2012.82

FORCED OSCILLATION AND HIGHER HARMONIC DETECTION IN AN INTEGRATED CMOS-MEMS SCANNING PROBE MICROSCOPE

2012· article· en· W2927179777 on OpenAlexafffund
Niladri Sarkar, Raafat R. Mansour, Kyle Trainor

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsUniversity of Waterloo
FundersDefense Advanced Research Projects AgencyCMC Microsystems
KeywordsScanning thermal microscopyMicroelectromechanical systemsNon-contact atomic force microscopyMaterials scienceScanning probe microscopyOscillation (cell signaling)CMOSAtomic force microscopyThermalChipMicroscopeMicroscopyAtomic force acoustic microscopyConductive atomic force microscopyOptoelectronicsOpticsNanotechnologyMagnetic force microscopePhysicsElectrical engineeringEngineeringChemistry

Abstract

fetched live from OpenAlex

We present the first imaging results obtained with a MEMS scanning probe microscope (SPM) that does not require external scanning hardware, and uses forced oscillation and higherharmonic detection to eliminate thermal coupling.This SPM supports multiple modes of operation including contact AFM (atomic force microscopy), intermittent-contact AFM, and thermal profiling.The focus of this paper is on the intermittent-contact mode, in which we are interested in measuring topology while suppressing thermal effects.The method has been implemented with three SPM-on-a-chip designs, and consistently improves resolution.

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)0.001
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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.015
GPT teacher head0.286
Teacher spread0.270 · 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

Citations6
Published2012
Admission routes2
Has abstractyes

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