Preparation and Experimental Investigation of Lanthanum Hexa-Aluminate Calcinated Powders
Bibliographic record
Abstract
Lanthanum hexa-aluminate (LHA) has garnered significant attention as a highperformance material for thermal barrier coating (TBC) applications, primarily due to its exceptional thermal stability, low thermal conductivity, and resistance to hightemperature degradation.However, LHA's ability to retain its structural integrity under these extreme conditions.The goals of this work are to synthesize and characterize three different compositions of Alumina/Lanthanum hexa-aluminate (Alumina/LHA) ceramic powders.The synthesis process was carried out using chemical precipitation followed by filtration process.After synthesis, the ceramic powders were calcinated.The calcination was carried out at three different temperatures: 750℃, 900℃, and 1000℃ for each sample.This thermal treatment enabled the researchers to study the evolution of the material's crystalline structure as a function of temperature and composition.X-ray diffraction (XRD) peak profile analysis was performed to determine phase transformations and investigate the crystallographic properties of the powders for changes induced by calcination.Field emission scanning electron microscopy (FESEM) was used to study the microstructure, while energy-dispersive X-ray spectroscopy (EDX) was performed to analyze elemental composition and distribution in the samples.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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".