MétaCan
Menu
Back to cohort
Record W2154899240 · doi:10.1117/12.909573

Performance prediction and characterization of highly insulated microbolometers for space applications

2012· article· en· W2154899240 on OpenAlexaff
Zhiqiang Xu, Linh Ngo Phong, Timothy D. Pope

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2012
Typearticle
Languageen
FieldMaterials Science
TopicTransition Metal Oxide Nanomaterials
Canadian institutionsInstitut National d'OptiqueCanadian Space Agency
Fundersnot available
KeywordsMicrobolometerResponsivityBolometerFull width at half maximumMicrofabricationMaterials scienceFigure of meritHingeResistive touchscreenOptoelectronicsOpticsPhysicsDetectorComputer scienceFabricationPhotodetector

Abstract

fetched live from OpenAlex

There is a demand for increasing the spatial resolution and swath width in Earth observation applications. To improve the resolution and swath width, increased thermal isolation and decreased pitch of the microbolometer need to be achieved. This paper reports on the investigation of different structures of highly insulated 35 &#956;m pitch microbolometers. Each structure consists of two suspended Si<sub>3</sub>N<sub>4</sub> platforms with the upper level containing the bolometer element and the lower level containing hinges of varying length. A numerical model was derived to predict the figures of merit of the structures prior to microfabrication. Experimental characterization was performed on microfabricated devices, confirming the computed results. The thermal conductance, in the range from 85 to 134 nW/K, varies inversely with the hinge length and the best responsivity was achieved on the sample with the longest hinge. The corresponding detectivity and response time were respectively 9 &times; 108 cmHz<sup>1/2</sup>/W and 8 ms approximately.

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)0.001
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 score0.070
Threshold uncertainty score0.732

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 communication0.0000.001
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 head0.010
GPT teacher head0.211
Teacher spread0.201 · 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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicTransition Metal Oxide NanomaterialsFrench-language works237,207