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Record W4405221271 · doi:10.1016/j.matlet.2024.137877

Hydrothermal carbonization coating on recycled quartz glass fiber

2024· article· en· W4405221271 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

VenueMaterials Letters · 2024
Typearticle
Languageen
FieldComputer Science
TopicEnvironmental Engineering and Cultural Studies
Canadian institutionsUniversity of Regina
FundersDivision of Civil, Mechanical and Manufacturing InnovationFulbright CanadaCalifornia State Polytechnic University, Pomona
KeywordsMaterials scienceHydrothermal circulationCoatingQuartzCarbonizationHydrothermal carbonizationComposite materialFiberGlass recyclingGlass fiberChemical engineeringScanning electron microscope

Abstract

fetched live from OpenAlex

• Recycled quartz fiber with coating was tested for solar thermal evaporation. • Hydrothermal carbonization at 200 °C for 4 h created hydrochar on quartz wool. • Carbon coating thickness varied, enhancing solar absorption and water transport. • Carbon-coated quartz wool evaporated water 2.5 times faster than uncoated wool. Hydrothermal carbon derived from D-glucose was deposited on quartz fiber wool to enhance solar thermal evaporation. Thermogravimetric analysis (TGA) indicated 46 % weight loss for the coated wool above 500 °C. The BET surface area of the coated wool was 6.8581 m 2 /g. The carbon at the outer surface fibers of the quartz wool was thicker. The steady-state solar thermal evaporation rate of the carbon-coated quartz wool was found to be 3.1831 kg/m 2 ∙h, which is 2.5 times higher than that of the uncoated one (0.8785 kg/m 2 ∙h).

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 score0.031
Threshold uncertainty score0.324

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 head0.006
GPT teacher head0.187
Teacher spread0.181 · 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