MétaCan
Menu
Back to cohort
Record W4406071123 · doi:10.1016/j.isci.2024.111732

A particle-scale study showing microwave energy can effectively decarbonize process heat in fluidization industry

2025· article· en· W4406071123 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueiScience · 2025
Typearticle
Languageen
FieldChemistry
TopicMicrowave-Assisted Synthesis and Applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaAlliance de recherche numérique du CanadaCMC Microsystems
KeywordsFluidizationProcess (computing)Scale (ratio)Process engineeringParticle (ecology)NanotechnologyEnvironmental scienceMaterials scienceFluidized bedComputer scienceThermodynamicsPhysicsEngineering

Abstract

fetched live from OpenAlex

Microwave heating converts electromagnetic energy directly into thermal energy within the heated material, thereby overcoming the limitations of traditional indirect heat transfer methods. However, microwaves are well-known to have limited penetration depth, which remains a significant challenge that inhibits the use of microwaves in processes requiring uniform heating. Here, we show that fluidized beds of particles with sufficient electrical conductivity break the limitations imposed by microwave penetration depth, enabling uniform heating in large-scale reactors. Results suggest that the alternating magnetic field penetrates the entire studied reactor to induce eddy currents everywhere, causing each particle to be heated. The power absorption density for Geldart A and B particles across the bed is uniform, with no evidence of exponential attenuation, introducing unexpected penetration depth under the magnetic field component. Utilizing microwave energy, sourced by clean electricity, to heat fluidized beds offers a transformative solution to decarbonize industry, significantly reducing greenhouse gas emissions.

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 score0.087
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.270
Teacher spread0.255 · 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