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Record W2079208210 · doi:10.1109/jmems.2012.2227461

The Development of Polymer-Based Planar Microcryogenic Coolers

2012· article· en· W2079208210 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

VenueJournal of Microelectromechanical Systems · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced Thermodynamic Systems and Engines
Canadian institutionsMicrosemi (Canada)
FundersNational Institute of Standards and TechnologyUniversity of Colorado BoulderDefense Advanced Research Projects AgencyU.S. Department of Defense
KeywordsPolyimideMaterials scienceHeat exchangerAnodic bondingWaferMicroelectromechanical systemsSiliconSubstrate (aquarium)MicrosystemPolymerRefrigerantPressure dropMolding (decorative)PlanarComposite materialMechanical engineeringOptoelectronicsNanotechnologyThermodynamics

Abstract

fetched live from OpenAlex

In this paper, polymer-based microcryogenic cooler (MCC) cold stages, each with a footprint of 17 mm × 5 mm, have been successfully developed and tested. The MCC cold stage consists of a polyimide heat exchanger (HX) which is monolithically manufactured on a silicon substrate by using a polyimide/copper microelectromechanical systems process and a silicon/glass Joule-Thomson (J-T) valve which is formed with anodic bonding. Specifically, PI-2574 (HD MicroSystems) was used to make the HX in this work. The two parts are assembled together, forming a cooler which uses the J-T cycle. A cooling test with an optimized five-component mixture as the refrigerant was conducted to examine the performance of the cooler. The cooling temperature was able to reach 233 K under an operating pressure ratio of 0.7:0.15 MPa. It is one of the world's smallest J-T cold stages and the first one fabricated and assembled based on wafer-level processes.

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 score0.249
Threshold uncertainty score0.474

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 integrity0.0000.000
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 head0.008
GPT teacher head0.202
Teacher spread0.194 · 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