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Record W3211647854 · doi:10.1115/imece2001/htd-24275

Effective Flux Temperature Formulation for Energy Conversion Using Microscale Thermal Radiation

2001· article· en· W3211647854 on OpenAlexaff
MacMurray D. Whale

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicThermal Radiation and Cooling Technologies
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMicroscale chemistryEnergy fluxThermal radiationThermalRadiationHeat fluxFlux (metallurgy)Radiation fluxMaterials scienceThermophotovoltaicEnergy transformationThermal energyRadiative fluxMechanicsComputational physicsPhysicsOpticsOptoelectronicsHeat transferThermodynamics

Abstract

fetched live from OpenAlex

Abstract The non-Planckian spectrum of microscale thermal radiation is interpreted using a formulation for non-thermal radiation. The non-thermal aspects of the energy spectrum that results when radiating bodies are in close proximity are examined using the fluctuational electrodynamic approach to microscale thermal radiation. A definition of the effective flux temperature for microscale thermal radiation is presented. A technique to determine the entropy flux in a microscale field is obtained and used to calculate the effective flux temperature for chromium surfaces. The effective flux temperature of microscale radiation permits an assessment of the limits of the performance of proposed devices for the exploitation the spacing effect for energy conversion. The performance of a microscale thermophotovoltaic device is examined in terms of this flux temperature.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.211
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations2
Published2001
Admission routes1
Has abstractyes

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