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Record W2150469373 · doi:10.1088/0960-1317/17/3/016

Thermoelastic damping in bilayered micromechanical beam resonators

2007· article· en· W2150469373 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Micromechanics and Microengineering · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMechanical and Optical Resonators
Canadian institutionsMcGill University
FundersCanada Research Chairs
KeywordsThermoelastic dampingResonatorMaterials scienceBeam (structure)Microelectromechanical systemsTimoshenko beam theoryMagnetic dampingMechanicsAcousticsStructural engineeringVibrationPhysicsOptoelectronicsThermalEngineeringThermodynamics

Abstract

fetched live from OpenAlex

A detailed analysis of thermoelastic damping (TED) is essential in the design of the next generation of layered composite microresonators employed in microelectromechanical systems (MEMS) for sensing and communications. Here, we present an exact theory to compute the frequency dependence of thermoelastic damping in asymmetric, bilayered, micromechanical Euler–Bernoulli beam resonators. Comparison of the computed values for thermoelastic damping with previously measured internal friction in Au/SiO2 microcantilevers suggests that TED contributes significantly to damping at higher modes and frequencies (∼1 MHz), but is negligible at lower frequencies, in these structures. The utility of the theory for MEMS design is illustrated by considering the representative example of Al/SiC bilayered microresonators. 1.

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.

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)0.001
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 score0.111
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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