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Record W2158492134 · doi:10.1109/sensor.2007.4300617

Extreme Narrow Gap Surface Micromachined Pirani Pressure Sensor

2007· article· en· W2158492134 on OpenAlexaff
Kourosh Khosraviani, Albert M. Leung

Bibliographic record

VenueTRANSDUCERS 2007 - 2007 International Solid-State Sensors, Actuators and Microsystems Conference · 2007
Typearticle
Languageen
FieldEngineering
TopicAdvanced MEMS and NEMS Technologies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSubstrate (aquarium)Etching (microfabrication)Xenon difluorideLayer (electronics)Materials scienceSiliconPressure sensorAtmospheric pressureOptoelectronicsAnalytical Chemistry (journal)NanotechnologyChemistryMechanical engineeringPhysicsEngineering

Abstract

fetched live from OpenAlex

This paper presents an innovative surface micromachined Pirani pressure sensor with an extreme narrow gap and with atmospheric operating pressure range. By using a very thin layer of sputtered silicon as a sacrificial layer and Xenon Difluoride (XeF <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) gas phase etching technique, a 25nm gap was fabricated between a heated microbridge and the substrate (heatsink). The gas phase etching of the sacrificial layer eliminates the liquid's surface tension that may cause the microbridge to collapse onto the substrate during the releasing and drying steps, therefore, usage of Critical Point Drying (CPD) technique is not necessary. Such a narrow gap pushes the upper pressure operating range of the sensor up to several atmospheres. Experimental results show significant sensitivity to absolute pressure up to 94.5 psi on a device with an active area as small as 250 μm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .

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 score0.316
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
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 head0.019
GPT teacher head0.252
Teacher spread0.232 · 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
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueTRANSDUCERS 2007 - 2007 International Solid-State Sensors, Actuators and Microsystems ConferenceSame topicAdvanced MEMS and NEMS TechnologiesFrench-language works237,207