Design of high H2-permeable Nb-based alloy membranes using a simple physical-chemical parameter matching approach
Bibliographic record
Abstract
Alloys containing Group VB metals represent a promising alternative to commercially available Pd-based membranes. However, eliminating the need for complex trial-and-error experiments and accurately predicting suitable alloys using simple empirical rules remains a significant challenge. To address this, a series of Nb-based alloys with the composition Nb 30 Ti 35 Co 30 M 5 (at.%, where M = Fe, Al, or Au) was developed in this study using a physical-chemical parameter matching (PCPM) design strategy for the first time. The structure, morphology, and hydrogen permeability of the alloys were characterised using X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), and other techniques. The results indicate that all doped samples exhibit a dual-phase structure similar to that of Nb 30 Ti 35 Co 35 . However, samples containing Fe and Al display a hypereutectic structure, characterised by the formation of a primary BCC-(Nb, Ti, M) phase. Notably, the samples that conform to the PCPM rules exhibit good hydrogen permeability. At each test temperature, their permeabilities follow the order: Nb 30 Ti 35 Co 30 Fe 5 > Nb 30 Ti 35 Co 35 > Nb 30 Ti 35 Co 30 Al 5 . In contrast, the H 2 flux of the Au-containing specimen, which does not conform to the PCPM rules, remains close to zero throughout the test – even at temperatures as high as 673K. Among the tested alloys, Nb 30 Ti 35 Co 30 Fe 5 exhibits a hydrogen permeability of 2.69 × 10 −8 mol H 2 m −1 s −1 Pa −0.5 at 673K, surpassing that of most Nb-based membranes. This high permeability is attributed to a specific orientation relationship. These findings provide novel insights into the design of highly H 2 -permeable Nb-based alloy membranes.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".