Novel Hydrotalcite Composites Membranes for Alkaline Fuel Cells
Bibliographic record
Abstract
In this work, hydrotalcite (Mg6Al2(CO3)(OH)16•4H2O, HT-CO32-) and an hydrotalcite-like (HT-CO32--OH-) compounds were characterized and used in the fabrication of composite membranes for alkaline fuel cells. HT-CO32--OH- was prepared from commercial hydrotalcite through anion exchange. The materials were characterized by X-Ray Diffraction, Infrared Spectroscopy, CHNS Elemental Analysis, N2 sorption and Dynamic Vapor Sorption. Composite membranes were prepared by casting method using a styrene/ethylene/butylene copolymer as binder. Water up-take and OH- ion conductivity measurements were performed on two independent set of composite membranes. The partial exchange of carbonate by hydroxyl anions increases the water content in the clay gallery. Higher values of water up-take and ion conductivity were measured for the composite membranes containing the HT-CO32--OH- form.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".