Pulse‐assisted fluidization of nanoparticles: Case of lithium iron phosphate material
Bibliographic record
Abstract
Abstract Pulse‐assisted fluidization was developed for the fluidization of nanoparticles at high‐temperature processes (eg, above 600°C, depending on the material of interest). The technique was employed for carbon coating of lithium iron phosphate (LFP) nanoparticles with a gas‐phase carbon precursor (ie, propylene) through chemical vapour deposition (PAFB‐CVD). LFP has been extensively investigated as an environmentally friendly and cost‐effective cathode material of rechargeable lithium‐ion batteries. LFP nanoparticles of this research were, in fact, cohesive secondary particles of Geldart's group C. The CVD tests were carried out at temperatures between 600°C‐750°C. Uniform layers of carbon were deposited on the surface of LFP nanoparticles with a thickness less than 10 nm while particles were not sintered under high temperature operations. Also, the generated C‐LFP material held a superior electrical conductivity of 10 10 times more than the conductivity of uncoated raw LFP; it also featured a significant enhancement of discharge capacity despite the considerable delay between the production of raw LFP nanoparticles and the CVD process.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".