Cr-Doped TiO<sub>2</sub> Catalyzing Fast Hydrogen Absorption of MgH<sub>2</sub> at Subzero Temperatures
Bibliographic record
Abstract
MgH 2 is a promising solid-state hydrogen storage medium with a high hydrogen capacity and low cost, but it suffers from high hydrogen sorption temperatures. In this work, Cr-doped TiO 2 solid solution nanocatalysts were synthesized and demonstrated to significantly reduce the hydrogen sorption temperatures and pressure of MgH 2 . The Ti(5Cr)O 2 catalyzed MgH 2 releases over 6.1 wt % of H 2 at 200 °C, and even at 175 °C, 2.62 wt % H 2 can be desorbed. The dehydrogenation activation energy is greatly reduced to 85.3 ± 8.7 kJ/mol, which is ∼49.7 kJ/mol less than that observed for pure MgH 2 . The dehydrogenated product can absorb 4.5 wt % of H 2 within 10 s at a low temperature of −20 °C and back pressure of 30 bar, or the hydrogen uptake content can reach 4.81 wt % under 5 bar and 75 °C. The mechanism study indicates that the Cr-doped TiO 2 can markedly reduce the adsorption energy and dissociation energy barrier of H 2 molecules and greatly enhance the dissociation ability of H on the catalyst surface. This work demonstrates the potential of modified TiO 2 as a cost-effective and efficient catalyst for Mg-based hydrogen storage materials.
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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) | 0.001 | 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".