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Record W3040994752

Theoretical study of a phononic structure for bio-sensing applications

2019· article· en· W3040994752 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.

Bibliographic record

VenueIEEE Conference Proceedings · 2019
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMaterials scienceSensitivity (control systems)FabricationAperture (computer memory)RADIUSStackingOpticsSubstrate (aquarium)WavelengthBand gapOptoelectronicsAcousticsElectronic engineeringPhysicsEngineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

In this work, we investigate the evolution of the properties of a pillar phononic crystal in order to simplify the fabrication process by reducing the thickness of the layer. The structure is constructed by stacking alternate layers of SiO2 and Tungsten. The reduction of the dimensions moves the band gap to the upper frequencies and it is possible to adjust its aperture with the ratio comparing the radius of the cylinder with the layers’ thickness. On a substrate, the pillars give resonant modes that can be excited by shear surface waves and gives a sharp peak in the transmission spectrum of the surface wave with a very high quality factor. We also study the theoretical mass sensitivity of the device and we propose a numerical method to determine the theoretical maximum sensitivity that could be obtain by the pillars system. This pillar based metasurface presents a very promising mass sensitivity and a possible way to increase the performance of SAW bio-sensors.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score0.536

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 head0.015
GPT teacher head0.256
Teacher spread0.242 · 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