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Record W2075308279 · doi:10.1115/1.2352792

Thermal-Fluid MEMS Devices: A Decade of Progress and Challenges Ahead

2006· article· en· W2075308279 on OpenAlex
Ibrahim Hassan

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 Heat Transfer · 2006
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Boiling Studies
Canadian institutionsConcordia University
FundersNational Research Council CanadaConcordia UniversityNational Science Council
KeywordsMicroelectromechanical systemsHeat sinkEngineeringMechanical engineeringHeat transferNanotechnologySystems engineeringMaterials sciencePhysics

Abstract

fetched live from OpenAlex

Microdevices are becoming more prevalent and important in current and future technologies. Over the past decade, countless studies have been conducted in developing thermal microdevices. This paper focuses on the progress of research made during the last decade regarding heat transfer and fluid flow in microheat sinks, micropumps, microturbines, microengines, micromixers, as well as microsensors. Recent experimental techniques in the thermal microelectromechanical systems (MEMS) field have also been presented. Although some thermal MEMS devices have penetrated the commercial market, the mass implementation of thermal MEMS devices in future technology is still quite far, and is highly desirable. During the next decade, vast amounts of research need to be conducted before other microdevices can infiltrate the mainstream. Possible future directions of research have also been provided.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score0.498

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 head0.023
GPT teacher head0.235
Teacher spread0.212 · 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