Replacement of Vanadium by Ferrovanadium in Ti-Based BCC Alloys for Hydrogen Storage
Bibliographic record
Abstract
Ti-based BCC solid solutions are promising hydrogen storage applications. Unfortunately, the application of these alloys in large scale is hindered by the high cost of vanadium. The solution of this problem may be to replace vanadium by ferro-vanadium (FeV). Here, we report our recent investigation of compositions TiV1-xMn1+x and Ti(FeV)1-xMn1+x where x = -0.2, -0.1, 0, 0.1, 0.2. Each composition was synthesized by arc melting. No subsequent heat treatment was performed. The alloys’ crystal structure in as-cast state and after hydrogenation was inspected by X-ray powder diffraction. We found that replacement of vanadium by ferrovanadium had the positive effect of destabilization of the hydride which makes it more useful for practical applications. Also even if the total hydrogen capacity was reduced, the reversible capacity could be improved. We found that replacement of vanadium by ferrovanadium drastically change the crystal structure of hydrogenated compounds.
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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) | 0.000 | 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".