Effect of Rare Earth Elements on the Structure and Electrochemical Properties of La0.63R0.2Mg0.17Ni3.1Co0.3 Al0.1 Alloy Electrodes
Bibliographic record
Abstract
Hydrogen storage alloys La0.63R0.2Mg0.17Ni3.1Co0.3Al0.1 (R = La, Ce, Pr, Nd, Y, Sm, Gd) based on A2B7 type were prepared by induction melting method. The alloys were annealed at 1173K during a week in a sealed stainless steel tube. The structure and the electrochemical properties of the annealed alloys have been studied systematically by XRD, EPMA and electrochemical studies. The alloys structure consists mainly of Ce2Ni7-type (SG: P63/mmc) La2Ni7 phase as well as minor Gd2Co7-type (SG: R-3m) phase, LaNi5 (CaCu5-type, SG:P6/mmm) phase. It is resulted that La0.65Y0.2Mg0.15Ni3.1Co0.3Al0.1 alloy exhibited the maximum electrochemical discharge capacity of 381.2 mAh·g-1. The best cycling stability was obtained with the La0.65Gd0.2Mg0.15Ni3.1Co0.3Al0.1 based alloy. This stability measured as the capacity retention rate at the 100th cycle (S100) was the highest for this sample (92.7%). The variation of the high rate discharge ability with the alloy composition. Its displayed a wave-like change. Firstly it increased from 24.5% (R = La) to 78.4% (R = Ce), then decreased to 14.4 % (R = Sm), and increased again to 63.8% with R = Gd.
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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 | 0.001 |
| 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".