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Record W1982358915 · doi:10.1109/nano.2007.4601230

Millimeter-sized nanomanipulator with sub-nanometer positioning resolution and large force output

2007· article· en· W1982358915 on OpenAlexaff
Xinyu Liu, Jianhua Tong, Yu Sun

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMicroactuatorMicroelectromechanical systemsMillimeterCapacitive sensingNanometreLinearityMaterials scienceDisplacement (psychology)Nano-Computer scienceElectronic engineeringOptoelectronicsActuatorElectrical engineeringEngineeringOpticsPhysics

Abstract

fetched live from OpenAlex

Nanomanipulation in space-limited environments (e.g., inside SEM, and particularly in TEM) requires small-sized nano manipulators that are capable of producing sub-nanometer positioning resolutions and large output forces. This paper reports on a millimeter-sized MEMS (microelectromechanical systems) based nano manipulator with a positioning resolution of 0.15 nm and a motion range of plusmn2.55 mum. An amplification mechanism is employed to convert input displacements, generated by conventional electrostatic comb-drive microactuator, to achieve a high positioning resolution on the output side. The device has a high load driving capability, driving a load as high as 98 muN without sacrificing positioning performance. Testing results demonstrate that the mechanism has a high linearity (plusmn2.4%). A capacitive displacement sensor is integrated for detecting input displacements that are converted into output displacements via a minification ratio, allowing closed-loop controlled nanomanipulation. The MEMS-based nano-manipulators are applicable to the characterization/manipulation of nano-materials and construction of nano devices.

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 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 score0.168
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

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 science0.0000.000
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 head0.202
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.

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

Citations7
Published2007
Admission routes1
Has abstractyes

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