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Record W2928791844 · doi:10.31438/trf.hh2016.66

HIGH-SPEED, LARGE SCAN AREA, DISTORTION-FREE OPERATION OF SINGLE-CHIP ATOMIC FORCE MICROSCOPES

2016· article· en· W2928791844 on OpenAlexaff
G. Lee, Niladri Sarkar, D. Strathearn, M. Olfat, Aradhana Bali, Raafat R. Mansour

Bibliographic record

Venue2016 Solid-State, Actuators, and Microsystems Workshop Technical Digest · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicForce Microscopy Techniques and Applications
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCantileverChipAtomic force microscopyMaterials scienceActuatorStatic random-access memoryDistortion (music)Bandwidth (computing)Dynamic rangeMicroscopeOptoelectronicsOpticsNanotechnologyPhysicsComputer scienceElectrical engineeringCMOSComputer hardwareEngineering

Abstract

fetched live from OpenAlex

We report a 50-fold increase in the scan speed and a 200% improvement in the distortion-free scan range of a single-chip atomic force microscope (sc-AFM). The thermal time constants of 3-DOF actuators have been reduced by a factor of ~10 to increase the bandwidth of quasi-static AFM modes, while also increasing efficiency in dynamic modes. Importantly, the lifetime of the instrument is shown to exceed that of a conventional AFM cantilever by a factor of >100x. These devices have produced the first sc-AFM images of a 22 nm SRAM bank on an Intel Ivy Bridge CPU.

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 score0.239
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.249
Teacher spread0.240 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

Explore more

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