Characterisation of Robust Combustion Catalyst from Aluminium Foil Waste
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Herein a robust and active combustion catalyst was prepared with three‐quarter (75 wt.%) of its composition derived from the aluminium foil waste and designated as 5Pd‐ACFL550. The prepared catalyst was characterised using X‐ray diffraction (XRD), Temperature‐programmed reduction (TPR), Bright‐field transmission electron microscopy (BF‐TEM), High angle annular dark field (HAADF), Fourier transform infrared‐pyridine (FTIR‐Pyridine) and X‐ray Photoelectron Spectroscopy (XPS) techniques and compared to the commercial equivalent (5Pd‐AC550). The catalyst 5Pd‐ACFL550 showed higher catalytic activity than that of 5Pd‐AC550 in the total methane oxidation reaction with T 50% at 303 °C at Gas hourly space velocity (GHSV) of 100,000 mL g −1 h −1 . Our approach opens doors for the preparation of robust cheap combustion catalyst from aluminium foil waste and demonstrates its application in the catalytic converters of natural gas vehicles (NGV‐vehicles) and other combustion applications. As a result, this can be opened up to a wider variety of application markets, including residential and automotive applications.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it