Effect of Doping with Carbon and Boron Nitride on the Hydrogen Absorption in Titanium
Bibliographic record
Abstract
Pure metallic titanium is a fairly good hydrogen-absorbing material, which permits to accommodate up to 3.310 -3 mol/g Ti, or H/Ti=0.32. The reaction goes fast during reactive milling of Ti in the H 2 atmosphere. The "theoretical limit" of the hydrogen sorption, with all octahedral interstitials occupied by hydrogen atoms, corresponds to the (cubic) titanium hydride TiH 2 . It is known 1,2 that an addition of graphite considerably accelerates the hydrogen uptake in the process of milling. However, the carbonization of the surface ultimately blocks the H 2 absorption. In the search for other additives which could boost the hydrogen uptake in a similar manner, the boron nitride, another layered material, turned out quite ef cient. 2 Even if the maximal sorption rate is inferior to that with the carbon additive, the sorption process is more stable and, in total, accommodates by far more hydrogen, notably in a post-milling absorption, 2 shifting the total hydrogen sorption towards H/Ti=0.2 (after 30 min. of milling), 0.88 (66 min.) and 1.95 (205 min.), the last number being close to the theoretical absorption limit.
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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 | 0.002 | 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".