Mg–Fe Thin Films: A Phase-Separated Structure with Fast Kinetics of Hydrogenation
Bibliographic record
Abstract
In this paper we suggest a new approach to improve the kinetics of hydrogenation based on a material with a high density of interfaces between hydride-forming solid (HFS) and hydrogen-diffusing solid media (HDM). Such materials can be realized for phase-separated systems when synthesized in the conditions limiting kinetics of phase separation, e.g., in thin film deposition. Mg–Fe was selected as a model system: (1) It has phase separation; (2) MgH 2 is a high-capacity hydride; (3) Fe has high diffusivity of hydrogen. Mg 1- x Fe x thin films ( x = 0–0.30) capped with Pd were prepared by electron beam codeposition and their hydrogenation/dehydrogenation kinetics and cycling properties were studied at 413 K. The structures of the thin films before and after hydrogenation during different cycles were investigated by X-ray diffraction and transmission electron microscopy. It has been found that there is a substantial improvement in hydrogen absorption and desorption kinetics for the Mg 1- x Fe x films in comparison to pure Mg film. The improvement is attributed to the presence of Fe layers percolating throughout the Mg matrix. For the Mg 1- x Fe x films with x = 0.05–0.15 more than 3.5% mass fraction hydrogen can be absorbed under hydrogen pressures of 0.1 MPa in less than 2 min, and above 3.0% mass fraction hydrogen can be desorbed in 15 min. For x > 0.15 films, the reversible hydrogen storage properties degrade significantly; structural study of the higher concentration films shows the presence of a stable ternary hydride Mg 2 FeH 6, formation of which is responsible for interruption of fast hydrogen delivery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".