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Record W4313027170 · doi:10.1109/jmems.2022.3228188

Remote Actuation of Silicon Nitride Nanomechanical Resonators Using On-Chip Substrate Capacitors

2022· article· en· W4313027170 on OpenAlex
Gengyang Mu, Nikaya Snell, Chang Zhang, Xitong Xie, Radin Tahvildari, Arnaud Weck, M. Godin, Raphaël St-Gelais

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 Microelectromechanical Systems · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMechanical and Optical Resonators
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Ottawa
KeywordsResonatorCapacitorSubstrate (aquarium)Silicon nitrideMaterials scienceOptoelectronicsSiliconDissipation factorElectrical engineeringDielectricVoltageEngineering

Abstract

fetched live from OpenAlex

Mechanical actuation of high mechanical quality (Q) factor silicon nitride (SiN) resonators often imposes a tradeoff between integration and performance. Fully integrated electrical actuation is possible, but typically require modification of the resonators to include electrodes that can increase material damping and reduce Q-factors. Conversely, remote actuation using piezo ceramics or optical forces is bulky and typically suitable only in laboratory settings. Here we demonstrate an actuation method that does not require modifications to the resonators and that is monolithically integrated on the same chip. We show that time dependent biasing of metal-dielectric-semiconductor (MDS) capacitors on the same substrate as the resonators creates acoustic waves that can propagate towards the resonator and enable actuation without resonator modification. For a 2 V actuation signal, Ni-pSi capacitors are found to achieve 10 nm actuation amplitude in square ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$1.7\times1.7$ </tex-math></inline-formula> mm) low-stress (~100 MPa) SiN membrane resonators. In this case, electrical power dissipation in the chip is on the order of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$0.1 ~\mu \text{W}$ </tex-math></inline-formula> , and spurious heating is less than 1 mK. Both these values could be further reduced by doping the substrate to minimize resistive dissipation. First-principle models describing actuation in the charge accumulation (Ni-pSi) and charge depletion (Al-pSi) regimes are also developed. These models predict more efficient actuation using charge accumulation than charge depletion, which is confirmed experimentally. The developed actuation method is remarkably simple. In the case of Ni-pSi, it only requires attachment of wires to the chip with vacuum-compatible nickel paste, with no extra photolithography step. All the chips presented in this work are fabricated in-house, and a detailed fabrication procedure is provided. [2022-0107]

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)0.002
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 score0.060
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.251
Teacher spread0.230 · 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