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Record W2044835764 · doi:10.1063/1.1361080

A nondestructive technique for determining the spring constant of atomic force microscope cantilevers

2001· article· en· W2044835764 on OpenAlexfundno aff
Christopher T. Gibson, Brandon L. Weeks, Jonathan R. I. Lee, Chris Abell, Trevor Rayment

Bibliographic record

VenueReview of Scientific Instruments · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsnot available
FundersEngineering and Physical Sciences Research CouncilGirton College, University of CambridgeGlaucoma Research Society of Canada
KeywordsCantileverSpring (device)WaferMaterials scienceSilicon nitrideElectrostatic force microscopeNon-contact atomic force microscopySiliconOptoelectronicsNondestructive testingElectrical conductorNanotechnologyAtomic force microscopyOpticsConductive atomic force microscopyComposite materialPhysics

Abstract

fetched live from OpenAlex

We present a simple, accurate, and nondestructive method to determine cantilever spring constants by measuring the resonant frequency before and after the addition of a thin gold layer. The method for resonating the cantilevers uses electrostatic force modulation, which has been described for conductive cantilevers, but we demonstrate it can also be applied to silicon nitride cantilevers. The variations in spring constant for cantilevers of the same type across the same wafer are also explored.

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)0.001
metaresearch head score (Gemma)0.002
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: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.014
GPT teacher head0.299
Teacher spread0.284 · 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
GenreMethods

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

Citations42
Published2001
Admission routes1
Has abstractyes

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