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Record W3154110459 · doi:10.23977/jeis.2021.61001

Review of Liquid Cooled Microelectronic Equipment

2021· article· en· W3154110459 on OpenAlexvenueno aff
Lian – Tuu Yeh

Bibliographic record

VenueJournal of Electronics and Information Science · 2021
Typearticle
Languageen
FieldEngineering
TopicHeat Transfer and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsWater coolingComputer coolingAir coolingReliability (semiconductor)Power consumptionAutomotive engineeringPower (physics)EngineeringElectrical engineeringMechanical engineeringThermal management of electronic devices and systems

Abstract

fetched live from OpenAlex

The equipment power consumption is continuously increased at a fast pace. For the high power air cooled systems, large high performance fans are becoming a must for the high power systems in order to provide the necessary air flow rates. Two major concerns about these large fans are the power consumption and the acoustic noise of the fans.  The increased system power results in a significant increase in the power consumption and the operation cost of the equipment as well as its host facilities such as the date centers. For some cases, the system power is too high to be considered by air cooling. The only solution to the above situations is adopting the liquid cooling. The liquid cooling still has many advantages over the air cooled systems including not only able to support higher system power but also  to reduce component temperature along with increased system reliability. The purpose of this paper is to review how to employ the existing liquid cooling technologies to cooling of electronic equipment in various industries.

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: none
Teacher disagreement score0.293
Threshold uncertainty score0.161

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 communication0.0000.002
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 head0.006
GPT teacher head0.230
Teacher spread0.224 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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